Guiltless scorching sky: Balochistan’s unjust climate burden – Asia Times

In the vast, rugged expanse of southwestern Pakistan lies Balochistan, a province that stretches across nearly half of the country’s landmass yet remains home to only a fraction of its people.

While global debates on climate change often focus on industrial powerhouses like the US, China, and the European Union, the harsh realities faced by vulnerable regions such as Balochistan remain overlooked.  

This arid, mineral-rich region, often overshadowed by political unrest and insurgency, now faces an equally formidable foe: climate change.

The irony is stark—while Balochistan bears the brunt of escalating environmental disasters, Pakistan as a whole contributes almost nothing to the global emissions driving this crisis.

This juxtaposition demands a closer look: How can a province so vulnerable to ecological collapse exist within a nation that leaves such a negligible carbon footprint?

Through a lens of recent developments, hard-hitting data, and critical analysis, it becomes clear that Balochistan’s plight is a microcosm of global inequity, where those least responsible for climate change suffer its harshest consequences.

Balochistan’s geography tells a story of extremes. Covering 44% of Pakistan’s territory, it is a land of towering mountains, sprawling deserts and a coastline along the Arabian Sea.

Yet, despite its size, the province is sparsely populated, with roughly 15 million residents (Projected Population for 2025: approximately 16.9 million),  a mere 6% of Pakistan’s 250 million people.

This vastness, coupled with its arid climate, makes it inherently susceptible to environmental shifts. Droughts, once occasional visitors, have become frequent intruders since the turn of the millennium, parching the land and its people. Recent reports underscore this grim reality: water scarcity has intensified, leaving communities on the edge of survival.

Consider the numbers. Since 2000, drought frequency in Balochistan has surged, a trend that aligns with global warming’s exacerbation of dry spells in semi-arid zones. Unlike Punjab, where irrigation canals fed by the Indus River sustain agriculture, Balochistan relies heavily on erratic rainfall and dwindling groundwater.

Studies suggest that over 80% of the province’s water supply comes from sources vulnerable to climate variability—rain, seasonal streams, and aquifers depleted by overuse and under-replenishment.

The result? A province where farming, the backbone of rural livelihoods, teeters on the verge of collapse. In 2022 alone, drought conditions slashed crop yields by nearly 40% in some districts, pushing families into food insecurity and deepening poverty.

Then there’s the heat. Temperatures in Balochistan have climbed steadily, with summer highs now regularly exceeding 50°C (122°F) in areas like Sibi and Turbat. According to the Pakistan Meteorological Department (PMD) report, 2023 was one of the hottest years on record, with Turbat hitting a scorching 53.7°C.

These scorching conditions amplify evaporation rates, drying out what little water remains. Livestock, another pillar of the local economy, perish in droves during these heatwaves, their carcasses littering a landscape that can no longer sustain them.

A recent news piece highlighted how shepherds in the province lost half their herds in a single season, a loss they can ill afford in a region where development lags far behind the rest of Pakistan.

Balochistan’s vulnerability isn’t just a matter of geography—it’s a consequence of systemic neglect and inadequate adaptation. While the province faces some of the most severe climate impacts in Pakistan, its capacity to respond is crippled by underfunding and weak governance.

A special report from late March 2025 pointed to a glaring disconnect between Balochistan’s water policies and climate realities. Despite the province’s dire need for resilient infrastructure, think rainwater harvesting systems or drought-resistant crops, such initiatives remain woefully underfunded.

The report noted that while Punjab has seen pilot projects for climate-smart agriculture, like drip irrigation boosting water efficiency, Balochistan languishes with outdated methods ill-suited to a warming world.

This disparity is quantifiable. Pakistan’s federal budget allocates a fraction of its climate adaptation funds to Balochistan despite its outsized exposure to environmental risks.

In 2022, when devastating floods swept through the country, Balochistan bore a heavy toll of over 300 lives lost and thousands displaced. Yet, the province received less than 10% of the $10 billion pledged internationally for recovery, with most aid funneled to more populous regions.

Fast forward to 2025, and the pattern persists. Finance Minister Muhammad Aurangzeb recently lamented that only a third of those pledged funds ever materialized, leaving vulnerable areas like Balochistan to fend for themselves.

The human cost is staggering. Women in remote villages trek miles daily to fetch water from shrinking springs, a task made more grueling by rising temperatures and receding resources. Children drop out of school to help their families survive, their futures sacrificed to a crisis they did not create.

Meanwhile, glacier retreat in the northern reaches of Pakistan—a key water source for downstream Balochistan—threatens to unleash new disasters, like outburst floods and landslides.

The government’s launch of a Glacier Conservation Strategy in March 2025 is a step forward, but its focus on northern ecosystems does little for Balochistan’s immediate needs.

Contrast Balochistan’s suffering with Pakistan’s role in the climate change equation, and the injustice deepens. Pakistan is a featherweight in the arena of global emissions, contributing less than 1% of the world’s greenhouse gases.

In 2022, its per capita carbon footprint was a mere 0.9 metric tons, dwarfed by the United States’ 14.9 tons or China’s 8.7 tons. The country’s energy mix leans heavily on natural gas and hydropower, with coal still a smaller player compared to industrial giants.

This low contribution is not a fluke; it is a reflection of Pakistan’s economic reality. Unlike developed nations, where industrialization and consumerism drive emissions, Pakistan’s economy is agrarian and underdeveloped.

Balochistan epitomizes this: its vast mineral wealth—gas, coal, copper, gold—remains largely untapped or exploited by external players, not burned locally to fuel a carbon-intensive lifestyle. For instance, the projects like that of Saindak Metals and Rekodiq in Balochistan merit consideration.

The province’s people live simply, their energy use minimal, their emissions a rounding error in the global ledger. Yet, they pay a disproportionate price for a crisis fueled by distant smokestacks and tailpipes.

The 2025 Climate Risk Index, released by German-watch, ranked Pakistan as the most vulnerable country to climate change in 2022, a position cemented by floods, heatwaves and droughts.

Scientists attribute these erratic patterns to climate change, with the Intergovernmental Panel on Climate Change (IPCC) warning that South Asia will face more intense and unpredictable rainfall.

Balochistan’s fragile infrastructure, compounded by decades of underdevelopment, leaves it defenseless against such disasters. The province’s woes are a key driver of that ranking, yet Pakistan’s leaders can not point to their own actions as the cause.

At COP27, the country’s delegation, alongside allies like Bangladesh, fought for a Loss and Damage Fund to compensate nations like theirs, victims of a warming world they didn’t warm. The fund’s creation was a moral victory, but its slow rollout leaves Balochistan waiting, its people drowning in a deluge of consequences they didn’t sow.

Balochistan’s climate vulnerability doesn’t exist in a vacuum: it is tangled with the province’s long-standing political turmoil. The Baloch insurgency, fueled by grievances over resource exploitation and marginalization, has flared anew in 2025, with attacks like the Jaffar Express hijacking in March dominating headlines.

Separatist groups like the Balochistan Liberation Army (BLA) argue that Pakistan’s central government plunders the province’s riches while leaving its people in squalor. Climate change amplifies this narrative: as droughts and heatwaves devastate livelihoods, resentment festers, turning desperation into militancy.

Lack of focus by the government towards Balochistan’s climate resilience has further exacerbated the situation. Decades of excessive water extraction for agriculture, coupled with minimal recharge, have drained Balochistan’s aquifers.

There are thousands of unchecked tube wells that are extracting water at a lethal and devastating pace. A 2023 study by the International Water Management Institute (IWMI) found that Quetta’s water table is dropping by 3 meters annually, risking total depletion within a decade.

The province’s iconic Hanna Lake has shrunk by 40% since 2000, symbolizing the broader ecological collapse. Meanwhile, deforestation, driven by illegal logging, has reduced forest cover to a mere 2.5% of the province, accelerating desertification.

The loss of biodiversity threatens indigenous wildlife, including the endangered Balochistan bears, tigers, ibex’, fox’ and the iconic Chiltan & Takatu markhors.

Balochistan’s predicament is a clarion call for global accountability. If Pakistan contributes next to nothing to climate change, why should its most fragile province suffer so acutely?

The answer lies in the skewed dynamics of a world where industrialized nations, historically responsible for 79% of cumulative emissions, export their ecological debts to places like Balochistan.

United Nations Office for the Coordination of Humanitarian Affairs (OCHA) reports that over 60% of Balochistan’s population faces acute water shortages, pushing communities toward poverty and migration. The province’s droughts, heatwaves and water crises are not homegrown; they are the fallout of a global system that thrives on inequity.

Data backs this up. The top 10 emitting countries, led by China and the US, account for over 60% of annual greenhouse gases, while Pakistan’s share hovers below 0.8%. Yet, Balochistan’s climate vulnerability rivals that of small island states facing existential threats from rising seas.

The province’s carbon neutrality, its people emit almost nothing, offers no shield against a warming planet. This mismatch demands a rethink of climate justice, where responsibility aligns with impact, not just emissions.

Pakistan must also look inward. While it can not control global emissions, it can bolster Balochistan’s resilience. The government’s climate rhetoric, think “climate-smart policies” and glacier strategies, needs teeth.

Redirecting funds to water harvesting, solar-powered irrigation and reforestation could blunt the edge of drought and heat. Engaging Balochistan youth in these efforts, rather than letting them drift toward militancy, could turn a liability into an asset. Recent field trials in Punjab show promise—why not replicate them in Balochistan?

Globally, the Loss and Damage Fund must move from promise to practice, delivering aid to places like Balochistan before they’re lost to desertification or conflict.

Wealthy nations owe it to regions bearing their burden; Pakistan’s $10 billion flood pledge should be a floor, not a ceiling. Without this, Balochistan risks becoming a cautionary tale: a land punished for a crime it did not commit, in a nation that can not afford to save it.

The polluter pays principle demands that the industrialized nations must compensate vulnerable regions. However, climate financing remains inadequate. The $100 billion per year pledge by developed nations (2009 Copenhagen Accord) has never been fully met.

So far, Pakistan has just received $3.5 billion in climate aid since 2015—peanuts compared to its losses. As per the principle, global reparation is the need of the hour.

The US, EU and China must increase climate funding to vulnerable nations and regions like Balochistan. The Pakistani province needs drought-resistant crops, solar-powered desalination plants and reforestation programs. Also, Pakistan should prioritize climate-resilient infrastructure in Balochistan, not just urban centers. 

For the sake of argument, Balochistan stands at a precipice, its vulnerability to climate change a stark reminder of nature’s indifference to human borders. Droughts parch its soil, heat scorches its people and water slips through its fingers—all while Pakistan’s contribution to the crisis remains at a statistical blip.

The province’s 15 million residents, living on the edge of survival, embody a profound injustice – they suffer not for their own actions, but for the excesses of a world far beyond their reach. Recent news, from funding shortfalls to the rise of insurgency, only sharpens this truth.

This is not just Balochistan’s story; it’s a global one. As long as the nations most responsible for climate change shirk their duties, provinces like Balochistan will pay the price.

Pakistan’s negligible emissions do not absolve the world of its obligations, nor do they spare Balochistan its fate. Action, both local and global, is the only antidote to a crisis that threatens to swallow a region whole.

Without it, Balochistan’s cries will echo unanswered, a testament to a world that failed to balance the scales.

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AI power play: who, how and now of the tech changing everything – Asia Times

Artificial intelligence ( AI ) has seen rapid growth, transforming industries and daily life. From bots to superior conceptual designs, AI’s skills continue to expand, driven by effective businesses investing heavily in research and development.

” The development of AI is as important as the design of the microcontroller, the individual computer, the Internet, and the smart phone”, wrote Bill Gates in 2023. ” It may change the way people work, learn, travel, get health care, and communicate with each other”.

In 2025, companies such as OpenAI, Google, Anthropic, and emerging challengers like DeepSeek have pushed the boundaries of what large language models ( LLMs) can do. Additionally, business solutions from Microsoft and Meta are making AI equipment more accessible to companies and developers alike.

This article explores the latest Artificial designs available to the public, their advantages and drawbacks and how they compare in the dynamic AI environment.

AI designs rely on considerable computational resources, especially large language versions ( LLMs) that require large data and processing power. The leading AI designs undergo difficult education procedures that involve billions of parameters, consuming substantial energy and equipment.

Important AI players invest in cutting-edge technology and marketing strategies to improve effectiveness while maintaining high efficiency. The harmony between computing power, speed, and pricing is a significant factor in differentiating these AI models.

The Dynamic Landscape: Best AI Models

OpenAI’s ChatGPT

ChatGPT, developed by OpenAI, is one of the most recognized and commonly used AI types in the world. Built with a dialogue-driven style, ChatGPT is designed to reply follow-up questions, challenge incorrect facilities, admit mistakes, and accept improper calls. Its versatility has made it a leading AI tool for both casual and professional use, spanning industries such as customer service, content creation, programming, and research.

ChatGPT is ideal for a wide range of users, including writers, business professionals, educators, developers, and researchers. Its free-tier accessibility makes it an excellent starting point for casual users, while businesses, content creators, and developers can leverage its advanced models for enhanced productivity and automation.

It is also among the most user-friendly AI models available, featuring a clean interface, intuitive responses, and seamless interaction across devices. However, organizations that require custom AI models or stricter data privacy controls may find its closed-source nature restrictive, particularly compared to open-source alternatives like Meta’s LLaMA.

The latest version, GPT-4o, is available for free-tier users and offers a strong balance of speed, reasoning, and text generation capabilities. For users seeking enhanced performance, ChatGPT Plus provides priority access and faster response times at a monthly subscription cost.

For professionals and businesses requiring more robust capabilities, ChatGPT Pro unlocks advanced reasoning features through the o1 pro mode, which includes enhanced voice functionality and improved performance on complex queries.

Developers looking to integrate ChatGPT into applications can access its API, a type of software interface. Pricing starts at approximately$ 0.15 per million input tokens and$ 0.60 per million output tokens for GPT-4o mini, while the more powerful o1 models come at a higher cost. A token is defined as a fundamental unit of data, like a word or subword, that an AI model processes to understand and generate text.

One of ChatGPT’s greatest strengths is its versatility and conversational memory. It can handle a broad range of tasks, from casual conversation and creative writing to technical problem-solving, coding assistance, and business automation. When memory is enabled, ChatGPT can retain context across interactions, allowing for a more personalized user experience.

Another key advantage is its proven user base—with hundreds of millions of users worldwide, ChatGPT has undergone continuous refinement based on real-world feedback, improving its accuracy and usability. Additionally, GPT-4o’s multimodal capabilities allow it to process text, images, audio, and video, making it a comprehensive AI tool for content creation, analysis, and customer engagement.

While a free version exists, the most powerful features require paid subscriptions, which may limit accessibility for smaller businesses, independent developers, and startups. Another drawback is an occasional lag in real-time updates, even though ChatGPT has web-browsing capabilities, it may struggle with the most recent or fast-changing information.

Lastly, its proprietary model means users have limited control over modifications or customization, as they must adhere to OpenAI’s data policies and content restrictions.

Google’s Gemini

Google’s Gemini series is renowned for its multimodal capabilities and its ability to handle extensive context, making it a versatile tool for both personal and enterprise-level applications.

General consumers and productivity users benefit from Gemini’s deep integration with Google Search, Gmail, Docs, and Assistant, making it an excellent tool for research, email drafting, and task automation. Business and enterprise users find value in Gemini’s integration with Google Workspace, enhancing collaboration across Drive, Sheets, and Meet.

Developers and AI researchers can leverage its capabilities through Google Cloud and Vertex AI, making it a strong choice for building AI applications and custom models. Creative professionals can take advantage of its multimodal abilities, working with text, images, and video. Meanwhile, students and educators benefit from Gemini’s ability to summarize, explain concepts, and assist with research, making it a powerful academic tool.

Google Gemini is highly accessible, especially for those already familiar with Google services. Its seamless integration across Google’s ecosystem allows for effortless adoption in both personal and business applications.

Casual users will find it intuitive, with real-time search enhancements and natural interactions that require little to no learning curve. Developers and AI researchers can unlock advanced customization through API access and cloud-based features, though utilizing these tools effectively may require technical expertise.

The current versions, Gemini 1.5 Flash and Pro, cater to different needs, with Flash offering a cost-efficient, distilled option and Pro providing higher performance. Meanwhile, the Gemini 2.0 series, designed primarily for enterprise use, includes experimental models like Gemini 2.0 Flash with enhanced speed and multimodal live APIs, as well as the more powerful Gemini 2.0 Pro.

Basic access to Gemini is often free or available through Google Cloud’s Vertex AI. Still, advanced usage, especially when integrated into enterprise solutions, was introduced at$ 19.99–$ 25 per month per user, with pricing adjusted to reflect added features like a 1-million-token context window.

Gemini’s main advantage over other AIs is that it excels in processing text, images, audio, and video simultaneously, making it a standout in multimodal mastery. It also integrates seamlessly with Google Workspace, Gmail, and Android devices, making it a natural fit for users already in the Google ecosystem. Additionally, it offers competitive pricing for developers and enterprises needing robust capabilities, especially in extended context handling.

However, Gemini’s performance can be inconsistent, particularly with rare languages or specialized queries. Some advanced versions may be limited by safety testing, delaying wider access. Furthermore, its deep integration with Google’s ecosystem can be a barrier for users outside that environment, making adoption more challenging.

Anthropic’s Claude

Anthropic’s Claude is known for its emphasis on safety, natural conversational flow, and long-form contextual understanding. It is particularly well-suited for users who prioritize ethical AI usage and structured collaboration in their workflows.

Researchers and academics who need long-form contextual retention and minimal hallucinations, as well as writers and content creators who benefit from its structured approach and accuracy, will find Claude an essential and beneficial AI assistant.

Business professionals and teams can leverage Claude’s” Projects” feature for task and document management, while educators and students will find its safety guardrails and clear responses ideal for learning support.

Because Claude is highly accessible for those seeking a structured, ethical AI with a strong contextual understanding, it is moderately suitable for creative users who may find its restrictive filters limiting and less ideal for those needing unrestricted, fast brainstorming tools or AI-generated content with minimal moderation.

Claude 3.5 Sonnet, on the other hand, is the flagship model, offering enhanced reasoning, speed, and contextual understanding for both individual and enterprise users. For businesses and teams, the Claude Team and Enterprise Plans start at approximately$ 25 per user per month ( billed annually ), providing advanced collaboration features.

Individual users can access Claude Pro, a premium plan that costs around$ 20 per month, offering expanded capabilities and priority access. A limited free tier is also available, allowing general users to explore basic features and test its functionality.

Unlike most AIs, Claude excels in ethical AI safety, extended conversational memory, and structured project management, making it ideal for users who require reliable and well-moderated AI assistance. Its intuitive interface and organization tools enhance productivity for writers, researchers, educators, and business professionals.

However, there are instances when availability constraints during peak hours can disrupt workflow efficiency. Claude’s strict safety filters, while preventing harmful content, sometimes limit creative flexibility, making it less suitable for highly experimental or unrestricted brainstorming sessions. Additionally, enterprise costs may be high for large-scale teams with extensive AI usage.

DeepSeek AI

DeepSeek, a newcomer from China, has quickly gained attention for its cost efficiency and open-access philosophy. Unlike many established AI models, DeepSeek focuses on providing affordable AI access while maintaining strong reasoning capabilities, making it an appealing option for businesses and individual users alike.

” DeepSeek R1 is one of the most amazing and impressive breakthroughs I’ve ever seen—and as open source, a profound gift to the world”, said Marc Andreessen, former software engineer and co-founder of Netscape.

Being an excellent choice for cost-conscious businesses, independent developers, and researchers who need a powerful yet affordable AI solution, DeepSeek is particularly suitable for startups, academic institutions, and enterprises that require strong reasoning and problem-solving capabilities without high operational costs.

It is highly accessible for individuals due to its free web-based model, and even developers and enterprises benefit from its low-cost API. However, organizations requiring politically neutral AI models or strict privacy assurances may find it less suitable, especially in industries where data security and regulatory compliance are paramount.

The latest model, DeepSeek-R1, is designed for advanced reasoning tasks and is accessible through both an API and a chat interface. An earlier version, DeepSeek-V3, serves as the architectural foundation for the current releases, offering an extended context window of up to 128, 000 tokens while being optimized for efficiency.

DeepSeek is free for individual users through its web interface, making it one of the most accessible AI models available. However, for business applications, API usage comes at a significantly lower cost than US competitors, making it an attractive option for enterprises looking to reduce expenses.

Reports indicate that DeepSeek’s training costs are drastically lower, with estimates suggesting it was trained for approximately$ 6 million, a fraction of the cost compared to competitors, whose training expenses can run into the tens or hundreds of millions.

One of DeepSeek’s biggest strengths is its cost efficiency. It allows businesses and developers to access powerful AI without the financial burden associated with models like OpenAI’s GPT-4 or Anthropic’s Claude. Its open-source approach further enhances its appeal, as it provides model weights and technical documentation under open licenses, encouraging transparency and community-driven improvements.

Additionally, its strong reasoning capabilities have been benchmarked against leading AI models, with DeepSeek-R1 rivaling OpenAI’s top-tier models in specific problem-solving tasks. As Anthropic co-founder Jack Clark wrote in his” Import AI” newsletter,” R1 is significant because it broadly matches OpenAI’s o1 model on a range of reasoning tasks and challenges the notion that Western AI companies hold a significant lead over Chinese ones”.

A notable problem with DeepSeek is that its response latency, especially during periods of high demand, makes it less ideal for real-time applications where speed is crucial. Censorship and bias are also potential concerns. DeepSeek aligns with local content regulations, meaning it may sanitize or avoid politically sensitive topics, which could limit its appeal in global markets.

Additionally, some users have raised privacy concerns due to its Chinese ownership, questioning whether its data policies are as stringent as those of Western AI companies that comply with strict international privacy standards.

Microsoft’s Copilot

Microsoft’s Copilot is a productivity-focused AI assistant designed to enhance workplace efficiency through seamless integration with the Microsoft 365 suite. By embedding AI-powered automation directly into tools like Word, Excel, PowerPoint, Outlook, and Teams, Copilot serves as an intelligent assistant that streamlines workflows, automates repetitive tasks, and enhances document generation.

Ideal for businesses, enterprise teams, and professionals who heavily rely on Microsoft 365 applications for their daily operations, Microsoft’s Copilot is particularly beneficial for corporate professionals, financial analysts, project managers, and administrative staff who need AI-powered assistance to enhance productivity and reduce time spent on routine tasks.

However, organizations that prefer open-source AI models or require flexible, cross-platform compatibility may find Copilot less suitable, especially if they rely on non-Microsoft software ecosystems for their workflows.

Microsoft 365 Copilot is available across Microsoft’s core productivity applications, providing AI-powered assistance for document creation, email drafting, data analysis, and meeting summarization.

The service costs approximately$ 30 per user per month and typically requires an annual subscription. However, pricing can vary based on region and enterprise agreements, with some organizations receiving customized pricing based on their licensing structure.

One of Copilot’s most significant advantages is its deep ecosystem integration within Microsoft 365. For businesses and professionals already using Microsoft Office, Copilot enhances workflows by embedding AI-driven suggestions and automation directly within familiar applications.

Its task automation capabilities are another significant benefit, helping users generate reports, summarize meetings, draft emails, and analyze data more efficiently. Furthermore, Copilot receives continuous updates backed by Microsoft’s substantial investments in AI and cloud computing, ensuring regular improvements in performance, accuracy, and feature expansion.

In contrast, one of the significant drawbacks of Microsoft’s Copilot is its ecosystem lock-in—Copilot is tightly coupled with Microsoft 365, meaning its full potential is only realized by organizations already invested in Microsoft’s software ecosystem. Limited flexibility is another concern, as it lacks extensive third-party integrations found in more open AI platforms, making customization difficult for businesses that rely on a broader range of tools.

Additionally, some users report occasional response inconsistencies, where Copilot may lose context in long sessions or provide overly generic responses, requiring manual refinement.

Meta AI

Meta’s suite of AI tools, built on its open-weight LLaMA models, is a versatile and research-friendly AI suite designed for both general use and specialized applications. Meta’s approach prioritizes open-source development, accessibility, and integration with its social media platforms, making it a unique player in the AI landscape.

It is ideal for developers, researchers, and AI enthusiasts who want free, open-source models that they can customize and fine-tune. It is also well-suited for businesses and brands leveraging Meta’s social platforms, as its AI can enhance customer interactions and content creation within apps like Instagram and WhatsApp.

Meta AI is highly accessible for developers and researchers due to its open-source availability and flexibility. However, businesses and casual users may find it less intuitive compared to AI models with more refined user-facing tools. Additionally, companies needing strong content moderation and regulatory compliance may prefer more tightly controlled AI systems from competitors like Microsoft or Anthropic.

Meta AI operates on a range of LLaMA models, including LLaMA 2 and LLaMA 3, which serve as the foundation for various applications. Specialized versions, such as Code Llama, are tailored for coding tasks, offering developers AI-powered assistance in programming.

One of Meta AI’s standout features is its open-source licensing, which makes many of its tools free for research and commercial use. However, enterprise users may encounter service-level agreements ( SLAs ) or indirect costs, especially when integrating Meta’s AI with proprietary systems or platform partnerships.

Meta AI’s biggest advantage is its open-source and customizable nature, allowing developers to fine-tune models for specific use cases. This fosters greater innovation, flexibility, and transparency compared to closed AI systems.

Additionally, Meta AI is embedded within popular social media platforms like Facebook, Instagram, and WhatsApp, giving it massive consumer reach and real-time interactive capabilities. Meta also provides specialized AI models, such as Code Llama, for programming and catering to niche technical applications.

Despite its powerful underlying technology, Meta AI’s user interfaces and responsiveness can sometimes feel less polished than those of competitors like OpenAI and Microsoft. Additionally, Meta has faced controversies regarding content moderation and bias, raising concerns about AI-generated misinformation and regulatory scrutiny.

Another challenge is ecosystem fragmentation, with multiple AI models and branding under Meta, navigating the differences between Meta AI, LLaMA and other offerings can be confusing for both developers and general users.

AI’s impact on the future of technology

As AI adoption grows, the energy demand for training and operating these models increases. Companies are developing more efficient AI models while managing infrastructure costs.

Modern AI models, particularly those known as large language models ( LLMs), are powerhouses that demand vast computational resources. Training these models involves running billions of calculations across highly specialized hardware over days, weeks, or even months.

The process is analogous to running an industrial factory non-stop—a feat that requires a tremendous amount of energy. The rise of AI assistants, automation, and multimodal capabilities will further shape industries, from customer support to content creation.

” The worst thing you can do is have machines wasting power by being always on”, said James Coomer, senior vice president for products at DDN, a California-based software development firm, during the 2023 AI conference ai-PULSE.

AI competition will likely drive further advancements, leading to smarter, more accessible, and environmentally conscious AI solutions. However, challenges related to cost, data privacy, and ethical considerations will continue to shape the development of AI.

AI companies are actively addressing concerns about energy consumption and sustainability by optimizing their models to enhance efficiency while minimizing power usage. One key approach is leveraging renewable energy sources, such as solar and wind power, to supply data centers, which significantly reduces their carbon footprint.

Additionally, advancements in hardware are being developed to support more energy-efficient AI computation, enabling systems to perform complex tasks with lower energy demands. These innovations not only help reduce environmental impact but also contribute to long-term cost savings for AI companies.

Beyond technological improvements, regulatory policies are being introduced to ensure AI growth aligns with environmental sustainability. Governments and industry leaders need to work together to establish guidelines that encourage responsible energy consumption while promoting research into eco-friendly AI solutions. However, the fear of governmental regulation often makes technology leaders hesitant to collaborate.

One voice at the forefront of global AI governance is Amandeep Singh Gill, the United Nations Secretary-General’s envoy on technology, who emphasizes the importance of collaborative governance in AI development —and sustainable development needs to be part of this cooperation and coordination.

” ]W] e have to find ways to engage with those who are in the know”, he said in a September 2024 interview in Time. ” Often, there’s a gap between technology developers and regulators, particularly when the private sector is in the lead.

When it comes to diplomats and civil servants and leaders and ministers, there’s a further gap. How can you involve different stakeholders, the private sector in particular, in a way that influences action? You need to have a shared understanding”.

No matter the level of collaboration between the private and public sectors, companies need to aggressively explore emission-mitigation methods like carbon offset programs and energy-efficient algorithms to further mitigate their environmental impact.

By integrating these strategies, the AI industry is making strides toward a more sustainable future without compromising innovation and progress.

Balancing innovation and responsibility

AI is advancing rapidly, with OpenAI, Google, Anthropic, DeepSeek, CoPilot and MetaAI leading the way. While these models offer groundbreaking capabilities, they also come with costs, limitations, and sustainability concerns.

Businesses, researchers, and policymakers must prioritize responsible AI development while maintaining accessibility and efficiency. The Futurist: The AI ( R ) evolution panel discussion held by the Washington Post brought together industry leaders to explore the multifaceted impact of artificial intelligence ( AI ) on business, governance, and society.

Martin Kon of Cohere explains that his role is securing AI for business with an emphasis on data privacy, which is essential for” critical infrastructure like banking, insurance, health care, government, energy, telco, etc”.

Because there’s no equivalent of Google Search for enterprises, AI, Kon says, is an invaluable tool in searching for needles in haystacks–but it’s complicated:” Every year, those haystacks get bigger, and every year, the needles get more valuable, but every enterprise’s haystacks are different. They’re data sources, and everyone cares about different needles”. He is, however, optimistic on the job front, maintaining that the new technology will create more jobs and greater value than many critics fear.

” Doctors, nurses, radiologists spend three and a half hours a day on admin. If you can get that done in 20 minutes, that’s three hours a day you’ve freed up of health care professionals. You’re not going to fire a third of them. They’re just going to have more time to treat patients, to train, to teach others, to sleep for the brain surgery tomorrow”.

May Habib, CEO of Writer, which builds AI models, is similarly optimistic, describing AI as “democratizing”. ” All of these secret Einsteins in the company that didn’t have access to the tools to build can now build things that can be completely trajectory-changing for the business, and that’s the kind of vision that folks need to hear. And when folks hear that vision, they see a space and a part for themselves in it”.

Sy Choudhury, director of business development for AI Partnerships at Meta, sees a vital role for AI on the public sector side. ” ]I ] t can be everything very mundane from logistics all the way to cybersecurity, all the way to your billing and making sure that you can talk to your state school when you’re applying for federal student–or student loans, that kind of thing”.

Rep. Jay Obernolte (R-CA ), who led the House AI Task Force in 2024, acknowledges the need for” an institute to set standards for AI and to create testing and evaluation methodologies for AI” but emphasizes that” those standards should be non-compulsory …” And while agreeing that AI is” a very powerful tool”, he says that it’s still” just a tool”, adding that “if you concentrate on outcomes, you don’t have to worry as much about the tools …”

But some of those outcomes, he admits, can be adverse. ” ]O ] ne example that I use a lot is the potential malicious use of AI for cyber fraud and cyber theft”, he says. ” ]I ] n the pantheon of malicious uses of AI, that’s one of the ones that we at the task force worried the most about because we say bad actors are going to bad, and they’re going to bad more productively with AI than without AI because it’s such a powerful tool for enhancing productivity”.

Consumers can also do their part by managing AI usage wisely—turning off unused applications, optimizing workflows, and advocating for sustainable AI practices. AI’s future depends on balancing innovation with responsibility. The challenge is not just about creating smarter AI but also ensuring that its growth benefits society while minimizing its environmental impact.

Sharon Kumar is a technology editor at The Observatory, where he provides analysis and critical perspectives on the rapidly evolving tech landscape. As a seasoned MAANG tech professional with over a decade of experience in program management, strategic planning, and technology-driven business solutions, including AI and system performance optimization, Kumar has a deep understanding of emerging trends, digital infrastructure, and software development.

This article was produced by The Observatory, a project of the Independent Media Institute, and is republished with permission.

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Shaping the future of data centers in Malaysia

  • Authorities tackle Malaysia’s digital network issues and possibilities
  • Siemens Data Centre Conference 2025 brings experts along in frank debate

The rapid development of information centres in Malaysia reflects the country’s motivation to become a vital modern hub in Asia Pacific. Driven by increasing demand for cloud computing, artificial intelligence ( AI), and digital services, Malaysia has emerged as an attractive destination for data centre investments due to its strategic location, robust infrastructure, and government incentives.

Main technology firms and hyperscale companies are expanding their existence, fuelling major growth in data center capacity. However, this growth brings pressing issues, including high energy and water use, network security, and sustainability problems.

At the current Siemens Data Centre Conference 2025, two panels of respectable industry leaders discussed how, as the industry evolves, Malaysia may balance economic opportunity with concerned resource management to ensure long-term online resilience.

Digital gateway interests demand tactical planning &amp, execution, many aspects to be managed

Malaysia is committed to becoming a local online hub for Asean and the Asia Pacific. Nevertheless, achieving this vision demands proper planning and execution, as many factors may be properly managed.

For a start, information areas require large amounts of water for cooling, whereby an average100 watt ( MW) service consumes about 1.5 billion gallons annually- equivalent to 600 Olympic-sized lakes. By 2027, projected capacity growth to 2.2 gigawatt ( GW ) could demand 35 billion litres, said Tindaro Danze, President &amp, CEO, Siemens Malaysia.

Tindaro Danze, President & CEO, Siemens Malaysia

Energy usage is another major problem, as a 100 MW data center uses as little power as 45, 000 families. By 2027, a 2.2 GW power may require power equal to 1.2 million families, nearly the entire populace of Singapore.

Now reliant on fossil fuels, data centres has transition to renewable energy, said Danze yet the network infrastructure may not be equipped to handle this shift, he cautioned, making online solutions necessary for optimising energy distribution and managing grid loads.

Moving forward, Danze said discussions must address water and energy efficiency, carbon footprint, and regulatory challenges. He added that simply constructing data centres is insufficient- Malaysia must ensure these contribute to a thriving digital economy. A coordinated effort among stakeholders is needed to establish Malaysia as a meaningful technology hub while balancing sustainability and economic impact. &nbsp,

Digital minister Gobind Singh&nbsp,

Malaysia is rapidly positioning itself as a key digital hub within Asean, recognising the critical role of data centres in shaping its digital economy, said Gobind.

” With a target to increase the digital economy’s contribution to national GDP from 23 % to 25.5 % by the end of the year, the government is committed to fostering an environment that supports both technological growth and sustainability. Given Asean’s population of 700 million, digital infrastructure and AI will be essential in driving regional success”, he said.

To support this transformation, the government is actively shaping policies and governance frameworks that ensure Malaysia remains competitive and adaptable to technological shifts.

Digital minister Gobind Singh Deo

” This includes recently introduced data centre planning guidelines that streamline approvals while balancing industrial expansion with community well-being. Thoughtful site planning and zoning regulations are being put in place to mitigate disruptions, ensuring that development aligns with national priorities”, Gobind shared.

However, he acknowledged that the rapid growth of data centres also brings challenges, particularly in resource consumption. These facilities require significant amounts of power and water, prompting the government to prioritise sustainability. Gobind pointed out that measures such as the Green Lane Pathway and upcoming guidelines on power and water efficiency- expected in 2025- reflect a commitment to responsible growth. Expanding Malaysia’s renewable energy capacity and streamlining approval processes for sustainable projects are central to this strategy.

Equally important is talent development. As Malaysia builds its digital infrastructure, bridging skill gaps remains a priority. Collaboration with industry players is key to equipping the workforce with expertise. ” The launch of the National AI Office ( NAIO ) last December further underscores Malaysia’s ambition to lead in AI, ensuring the country has the right ecosystem to drive innovation, attract investment, and support key sectors like healthcare and urban planning”, said Gobind.

With 17 new data centres expected in Selangor alone, strategic planning will be crucial to balancing expansion with sustainability. Gobind emphasised that as discussions on digital infrastructure continue, collaboration between government, industry, and experts will be vital in ensuring Malaysia remains at the forefront of the digital revolution.

The session continued with two panel discussions.

Malaysia’s readiness to be a DC hub in Asia Pacific

With panellists consisting of Ir Megat Jalaluddin, President &amp, CEO, Tenaga Nasional Bhd, Anuar Fariz Fadzil, CEO, Malaysia Digital Economy Corp, Praba Thiagarajah, Group Executive Chairperson, Basis Bay Group and Charles Santiago, Chairperson, National Water Commission ( SPAN), the discussion, moderated by Hazril Haniff, Vice-President &amp, Head of Grid Software, Siemens Malaysia touched on various aspects of Malaysia’s lure as a data centre hub including the need to address gaps in policy clarity and another issue that has surfaced with urgency since last year- the role of reclaimed water in the data centre surge.

The rising global demand for AI, e-commerce, Internet of Things ( IoT), and cloud computing is fuelling the rapid growth of the data centre industry. Malaysia is well-positioned to become a regional hub due to its strong ecosystem, which includes key factors essential for data centre operations. These factors include a reliable power supply, water-based cooling infrastructure, sufficient land availability for construction, robust connectivity, and comprehensive security measures encompassing both physical and cybersecurity.

Additionally, Malaysia’s pro-business policies make it an attractive destination for investment, leading to increasing interest from major global players looking to establish data centres in the country.

While Praba acknowledged that Malaysia has strong potential as a data centre hub, he strongly stressed that it must address gaps in policy clarity. Policymakers must act swiftly to establish foundational regulations, as setting up basic policies is an easy yet critical step that can accelerate progress.

Other countries, such as China and Vietnam, have already implemented clear standards, Praba said, leaving Malaysia at risk of falling behind. Regulatory frameworks should be in place before the industry fully matures, not after. Therefore, key ministers and policymakers are urged to prioritise swift policy implementation to ensure Malaysia remains competitive in the global digital economy.

Sharing Praba’s call for urgent action but in terms of water usage, Charles stressed that reclaimed water must be a priority in the 13th Malaysian Plan, particularly for data centres and wafer fabrication. ” Countries like India have already implemented clear policies requiring industrial use of reclaimed water, starting at 50 % and scaling to 100 %. Malaysia must follow suit to ensure sustainable water management for its growing digital infrastructure”, he said.

Charles highlighted that to achieve sustainable planning, data centres must incorporate reclaimed water and rainwater harvesting from the outset. Current developments rely too heavily on potable water, an unsustainable practice. Developers and policymakers must shift toward alternative water-sourcing strategies before construction begins to safeguard Malaysia’s water resources.

In 2024, Selangor approved 27 new data centres, requiring 79 megalitres per day ( MLD ) of water, while Johor approved 17, demanding 59 MLD. Hyperscale data centres consume disproportionately high amounts of water, with some using the equivalent of seven to eight Olympic-sized swimming pools daily. &nbsp,

According to Charles, alarmingly, some approved hyperscale centres lack direct water sources, highlighting the urgent need for strategic approval limits and water planning.

” Approval processes for data centres must be stricter and proactive, integrating reclaimed water solutions and rainwater harvesting at the design stage rather than as an afterthought”, he urged. The government must enforce clear guidelines on the number and locations of hyperscale centres, considering increasing water demand from population growth, new industries, and wafer fabrication.

Winning and sustaining business in the digital industry

The second panel of the conference comprised of, Adilah Junid, Director of Legal And Government Affairs, Microsoft Malaysia, Cheam Tat Inn, Managing Director, Equinix Malaysia, Darryll Sinnappa, Country Head, ST Telemedia Global Data Centres (STT GDC ), and Reiner Cham, Sales Manager, Smart Infrastructure- Electrical &amp, Automation ( EA ), Siemens Malaysia with Karamjit Singh, CEO, Digital News Asia as moderator.

According to Adilah Junid, Malaysia’s data centre growth is supported by policies covering land and water management, as well as data security regulations that establish the country as a trusted hub. &nbsp,

” These policies provide a competitive edge by ensuring data sovereignty and intellectual property protection, attracting global businesses seeking a secure and well-regulated environment”, she explained.

Cheam Tat Inn highlighted that AI is driving a transformation in data centres, increasing the demand for computing power, storage, and network capacity. ” AI-ready data centres must be purpose-built, scalable, and sustainable to meet these growing requirements”, he noted.

Cheam also observed that cloud strategies are evolving, with businesses shifting from exclusive public cloud reliance to hybrid models. ” Cloud rebalancing is where enterprises or customers want to have the right to move part of their infrastructure to on-premises or to colocation data centers, because they now realize that they want to have the freedom of running different critical business workloads across different clouds”, he said. &nbsp,

A colocation data center is a facility in which a business can rent space for servers, storage devices and other computing hardware. This shift is driven by factors such as escalating cloud costs, security concerns, unmet expectations, vendor lock-in fears, and increased compute power needs.

Cheam further explained that a new AI deployment model is emerging, shifting from moving data to the cloud for processing to bringing AI models directly to the data. ” You have the ability to move your data quickly and then seamlessly across different clouds, your control over data sovereignty, your control over any data regulation, while at the same time exploiting the full potential of AI deployments”, he said. &nbsp,

This approach enhances regulatory compliance, accelerates AI operations across geographies, and strengthens security for industries with strict data governance requirements.

Adilah Junid noted that as AI and digital services evolve, customer expectations are becoming more sophisticated. ” Users demand resiliency, scalability, availability, and security while maintaining control over workloads, including the ability to isolate certain processes from others”, she emphasized. &nbsp,

In the digital economy, AI, security, and trust are top priorities, and adoption must extend beyond large enterprises to benefit SMEs and the broader economy.

The rapid evolution of AI from 2022 to 2023 has significantly reshaped business and infrastructure needs. Companies must continuously innovate to remain competitive, yet many businesses are still in the early stages of AI adoption, requiring education and support to navigate this shift effectively.

Conclusion 

Sustainability has emerged as a key demand from customers, with businesses committing to carbon neutrality by 2030. However, AI’s increasing processing needs are driving up power consumption, requiring responsible energy management.

The growing reliance on AI raises concerns about escalating power demand and environmental impact. The industry is actively debating solutions, including renewable energy adoption and efficiency improvements in data centres, to mitigate these challenges while sustaining AI advancements.

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Inside Malaysia’s 6-way MOCN: How Maxis is implementing the world’s first such network sharing agreement

  • The plan includes both important industry centers and rural areas.
  • 8 fundamental ideas provide a high level framework for MNO engagement.

Malaysia’s cutting-edge 6-way Multi-Operator Core Network ( MOCN) initiative has been in operation since Jan. 2024, but the technical implementation and impact on the real world are still less well understood. Abdul Karim Fakir ( pic ), Chief Technology &, Strategy Officer, Maxis&nbsp, at MWC 2025 in Barcelona, revealed fresh insights into how this first-of-its-kind collaboration functions and its significance for Malaysia’s digital landscape.

Fakir explained that the contract extends far beyond this area, despite the fact that the majority of the 6-way MOCN’s first publicity focused on improving connectivity in underserved areas.

During his demonstration at the Malaysian Pavilion, Fakir explained that this is a “national contract.” The global six-way MOCN should cover both essential market centers and underserved remote areas, according to the statement.

This comprehensive approach is a significant change from the traditional infrastructure-sharing models, which frequently concentrate solely on remote policy. Operators can enter into business agreements for sharing across various business types under the Malay design, which the Malaysian Communications and Multimedia Commission (MCMC) and industry consider to be the first of its kind in the world, probably changing the way network infrastructure is deployed throughout the nation.

How the six-way posting functions

The MOCN framework, as described in Maxis ‘ presentation, is based on eight fundamental ideas that set up a high-level framework for collaboration between the six mobile network operators ( MNOs ) participating: Celcom, Digi, Maxis, U Mobile, TM, and YTL Communications. Take note that while Celcom and Digi are merged, they each have community property under development and are undergoing community combination. &nbsp,

The MOCN technology-based model includes both quiet sharing and effective sharing of physical infrastructure. addressing communication complaints, seven designated emphasis places, low-populated areas, and suburban and rural areas are among the priority areas.

Users can participate in either balance collaboration, where several operators share equally, or non-parity engagement, which may contain various levels of membership based on bilateral agreements between parties.

In a shared culture, quality control is paramount.

Maintaining support excellent across multiple providers is one of the most important issues with shared system. Fakir referred to a three-layered strategy for upholding value requirements.

For the professional necessity, he said,” We set the standard for what the sponsor needs to deliver, and that is number one.” Number two, they are also working with the MCMC to follow all open required criteria. Next and all, the telcos are monitored to make sure that we are maintaining the high standards for quality of service.

He acknowledged that while Malaysia has a lot of experience with sharing quiet infrastructure, effective sharing through MOCN is still relatively unknown territory. ” This is relatively new, and we need to go through the journey of knowledge from an administrative point.”

Beyond communication, there are other benefits to conservation.

The 6-way MOCN, in Maxis ‘ opinion, improves protection and provides significant economic gains. The sharing model results in energy efficiency gains of 20 % to 40 %, carbon footprint reductions of 10 % to 25 %, and resource efficiency gains of 15 % to 24 % for electronic waste.

These sustainability indicators connect the development of telecommunications infrastructure to several UN Sustainable Development Goals and align with the Environmental, Social, and Governance ( ESG) goals mentioned in the presentation.

progress toward a policy level of 100 %

The 6-way MOCN implementation is closely related to the JENDELA ( Jalinan Digital Negara ) program in Malaysia, which aims to provide 100 % population coverage for 4G composite and internet connectivity.

According to the roadmap presented by Maxis, Malaysia has already attained 97.3 % coverage as of Q3 2023, an increase from 91.8 % at the start of Jendela Phase 1. Through the continued Jendela Phase 2, which includes fresh initiatives under Jendela2, the nation is on record to have full coverage by 2025. &nbsp,

Essential success elements

Maxis identified four interconnected columns that are essential to the success of the initiative:

  • In keeping with government aspirations, supporting initiatives like Jendela and remote connection projects while still providing visible reports to policymakers.
  • Creating a customer-first thinking by ensuring that, despite shared system, smooth connection and little downtime, service standards remain high.
  • Industry collaboration spirit: Fostering trust among stakeholders and creating ethical models for resource sharing and joint ventures.
  • Government support – Engaging in policy discussions and advocating for regulations that support initiatives to support the digital economy.

Questions of the commercial nature still exist

Although technical details were provided, the sharing arrangement’s commercial aspects were less clear. Fakir declined to provide specific details when questioned about cost savings in comparison to conventional deployment strategies. The current sharing is more about bringing back the Malaysian experience of supporting the government’s efforts to address the digital divide and provide coverage, he said. I don’t believe we want to go into specifics about Maxis ‘ commercial composition,” I wouldn’t think that.”

Industry observers will be closely watching as the 6-way MOCN expands beyond its initial locations to learn how this unique, world-first, model juggles cooperation on infrastructure and competition in the services. What is clear from Maxis ‘ presentation is that this is more than just a pilot project; it is a comprehensive national plan for telecommunications development that places a premium on both coverage and sustainability.

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Jevons paradox debunks DeepSeek’s clean, green claim – Asia Times

Artificial fires through a lot of tools. Perhaps a more energy-efficient AI is likely to result in more energy being used over the long run, as a conundrum was first discovered in the 1860s.

For most consumers, “large speech models” such as OpenAI’s ChatGPT function like instinctive search engines. However, AI models return information they’ve created from scratch, in contrast to traditional online searches that locate and retrieve data everywhere along a worldwide network of servers. Like powering up a nuclear furnace to use a computer, this designed process is quite wasteful.

One study suggests the AI industry will be consuming somewhere between 85 and 134 terrawatt-hours ( TWh ) of electricity by 2027. That’s the same amount of energy that the Netherlands consumes annually. One well-known researcher predicts that over 20 % of US electricity will be used to power AI data centers ( huge warehouses stuffed with computers ) by 2030.

Big tech companies have often vowed to be significant investors in wind and solar energy. However, most people are developing their own atomic options due to AI’s desire for 24/7 energy. Microsoft also plans to revive&nbsp, the legendary Three Mile Island&nbsp, power flower, the image of America’s worst-ever legal radioactive accident.

Despite Google’s ambitious goal of being carbon neutral by 2030, the agency’s AI improvements mean its emissions have climbed 48 % in the past few years. Additionally, each month, the processing power required to train these concepts increases tenfold.

Nevertheless, Chinese start-up DeepSeek claims to have created a fix: a design that fits the effectiveness of established US foes like OpenAI, but at a fraction of the cost and carbon footprint.

An environmental game changer?

DeepSeek has created a powerful open-source, relatively energy-lite model. The company claims it spent just US$ 6 million renting the hardware needed to train its new R1 model, compared with over$ 60 million for Meta’s Llama, which used 11 times the computing resources.

DeepSeek uses a “mixture-of-experts” architecture, a machine-learning method that allows the model to scale up and down depending on the complexity of prompts. The manufacturer claims that its model can train and store more data without using sizable amounts of pricey processor chips.

deepseek logo on phone screen
Compared with its US rivals, DeepSeek promises to do more with less. Image: Chitaika / Shutterstock via The Conversation

Following investor concerns that AI companies would reevaluate their energy-intensive data center developments, US chip manufacturing and energy stocks fell. As the world’s largest supplier of specialist AI processors, Nvidia saw its share price fall by$ 589 billion, the biggest one-day loss in Wall Street history.

Paradoxically, as well as upsetting the performance of US tech stocks, improving the energy efficiency of AI platforms could actually worsen the industry’s environmental performance as a whole.

With tech stocks crashing, Microsoft CEO Satya Nadella tried to bring a longer-term perspective:” Jevons paradox strikes again”! he posted on X. ” As AI gets more efficient and accessible, we will see its use skyrocket, turning it into a commodity we just can’t get enough of”.

The Jevons paradox

For more than a century, people have been saying that using less energy isn’t always beneficial to Earth’s resources. In his book” The Coal Question” in 1865, a young Englishman named William Stanley Jevons argued that Britain’s position as an industrial superpower might soon be ended as a result of its rapidly dwindling coal reserves.

But to Jevons, frugality was not the solution. He claimed that” the idealism that the sparse use of fuel is equivalent to a decreased consumption is completely confounds all other ideas. The very contrary is the truth”.

According to Jevons, any increase in resource efficiency generates an increase in long-term resource consumption, rather than a decrease. Higher energy efficiency has the effect of lowering energy’s implicit price, which in turn raises the rate of return and demand.

Jevons gave an example of the British iron industry. If advances in technology enabled a blast furnace to produce iron with less coal, profits would increase and new investment in iron production would be drawn. Price reductions would also encourage higher demand. He concluded:” The greater number of furnaces will more than make up for the diminished]coal ] consumption of each”.

Since the dawn of human civilization, the economist William Nordhaus has used this concept to improve lighting efficiency.

In a paper published in 1998, he came to the conclusion that the typical worker in ancient Babylon might need to work for more than 40 hours to buy enough fuel to generate the same amount of light as a typical lightbulb for an hour. However, an average American would need to produce the same amount of work by 1992.

Throughout time, efficiency gains haven’t reduced the energy we expend on lighting or shrunk our energy consumption. We now, in contrast, produce so much electric light that areas without it have turned into tourist attractions.

Warming and lighting our homes efficiently, driving our cars, mining Bitcoin and, indeed, building AI models are all subject to the same so-called rebound effects identified in the Jevons paradox. And because of this, it will be impossible to guarantee that an energy-use reduction in the overall industry is achieved.

A Sputnik moment

In the 1950s, the US was horrified when the Soviets launched Sputnik, the first space satellite. America spent more money on the space race, not less, as a result of the development of a more effective rival.

DeepSeek is Silicon Valley’s Sputnik moment. In an arms race that is no longer limited to US tech giants, more distributed and powerful models will likely mean more distributed and powerful models.

AI offers superpower status, and the floodgates may now be fully open for the UK and other global competitors, as well as China. What’s for certain is that in the long term, the AI industry’s appetite for energy and other resources is only going to increase.

Peter Howson is assistant professor in international development, Northumbria University, Newcastle

This article was republished from The Conversation under a Creative Commons license. Read the original article.

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China’s appetite for salmon could reshape global seafood markets – Asia Times

The need for planted salmon in China is growing at a rate never before seen. Imports of fresh and chilled Atlantic salmon increased by 46 % year over year in 2023, up 63 %.

The world seafood trade is being transformed by this amazing growth. Manufacturers from Scotland, Norway, Chile, Australia, Faroe Islands, Canada and Iceland are racing to offer the wants of this large and rapidly evolving industry.

China’s efforts to produce its own Atlantic salmon have also encountered major difficulties, which indicate that competitors like rainbow fish are required to meet the nation’s growing appetite for seafood specialties.

When the Taiwanese government approved labeling and selling rainbow trout as mackerel, a significant change took place in 2018. This choice made a more affordable option for customers who are concerned about costs by blurring the difference between directly farmed rainbow trout and imported Atlantic salmon.

Trout has strong, oily meat that has an orange-pink color and is comparable in look and size to salmon. Physiologically also, the varieties are alike, as are the way in which they can be cooked and prepared.

In our recent study, which included style tests, we discovered that some Chinese consumers were unable to tell the difference between private rainbow fish and imported Atlantic salmon in deaf testing. However, when asked about the origin, the testers ‘ preferences for imported Atlantic salmon significantly changed, highlighting the influence of history on customer preferences.

Although person’s willingness to pay did not initially differ in our deaf tests, it quickly changed into a crucial element once the origin of the fish was known.

However, we realized that the only thing missing was source. Our testers needed to like the look, smell, and taste of the product more in order to be willing to pay higher prices, or they had to be persuaded by its ecolabel ( indicating environmental standards ).

Economic costs

Transporting Atlantic salmon from Scottish glens, Norway fjords, or Chilean waters involves complicated logistics and substantial environmental costs. The carbon footprint of this industry, combined with the resource-intensive character of mackerel aquaculture, raises important concerns about conservation.

These difficulties are especially acute in China, where customers have a strong desire for beauty. Despite its negative effects on the environment, buyers are increasingly turning to online retailers to purchase their shrimp because of this.

E-commerce has transformed shrimp store in China, allowing fast delivery and products that meet consumer demands for quality and freshness. In this industry, Salmon is renowned for its perceived high price, superior quality, and affordable price. Salmon retains its appeal when frozen or cooled, unlike other costly seafood that frequently needs to be sold exist to maintain its worth.

Salmon is ideally suited for contemporary retail environments, where complex cold-chain logistics guarantee its freshness without the challenges of live transportation. But, these advances come at a cost.

Transported salmon has a significant impact on the environment due to its labor-intensive storage and quick transportation. Addressing the conservation issues relating to the Chinese seafood market will be crucial in achieving a balance between climate responsibility and consumer demand as the market grows. In China, the latest global certification programs that aim to improve the sector’s sustainability have had a minimal impact.

China has made significant efforts to establish a local Atlantic salmon business, but these attempts have mostly failed because of technical difficulties and economic boundaries. This has created a space that internally raised rainbow trout is ready to pack.

In 2022, China produced 37, 000 lots of rainbow trout. Although this is a small amount in comparison to global output levels, it is still noteworthy given that rainbow trout is a fairly new planted species in China, in contrast to other traditional species like carp.

However, rainbow trout farming in China is geographically constrained, as the species thrives in cooler freshwater temperatures found in higher-lying lakes and pools, as well as in “raceways” ( programs supplied continuously with fresh water diverted from river ).

Advances in fishing techniques offer a possible pathway to develop China’s production. The use of fish gardening reduces the carbon footprint associated with goods and provides healthier alternatives for Chinese customers. It is a more sustainable, locally manufactured alternative to Atlantic herring. Growing a strong domestic salmon industry would improve food security, lessen import dependence, and foster economic growth in rural areas.

The expanding seafood market in China offers important teachings for the worldwide market. The extremely advanced Chinese consumer may find it important to emphasize quality, beauty, and sustainability.

At the same time, expense in eco-friendly aquaculture practices, both domestically and internationally, may be necessary to stabilize the growing demand for premium shellfish with economic responsibility. These might include reducing feed waste and using recirculating aquaculture systems ( which reuse and filter water ) to reduce water usage. The key is also recycling leftover nutrition from food generation.

The connection between consumer interests, environmental issues, and economic opportunities could have an impact on the global salmon industry as rainbow trout gains popularity in China’s seafood industry.

Salmon manufacturers in Europe, Canada, and various distributing regions does face significant challenges if local fish are able to occupy a larger share of the Chinese business. In the end, this could push them to reevaluate their strategies in order to change business relationships.

Although China’s attempt to establish a local Atlantic salmon business has proved difficult, trout farming offers a sensible and sustainable solution for its premium seafood market.

Mausam Budhathoki is a doctorate researcher at the University of Copenhagen and the University of Stirling, while Dave Little is a professor of underwater solutions development at the University of Stirling.

This content was republished from The Conversation under a Creative Commons license. Read the original post.

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IN FOCUS: Awash with billions in Big Tech money, but Southeast Asia’s cloud and AI boom faces limits

Large TALENT GAPS

Although major tech companies have plans to educate millions of people in the area, there is general agreement about a growing online skills space.

” It is still very hard, challenging to find a really, really great software skills. The difference is always there”, Kanggrawan said.

Even as the market experienced the so-called “tech winter,” a business slump of massive work deficits and hiring freezes in the past two years, this is still the situation. &nbsp,

According to Khuong, nations like Thailand and Singapore will have an even “more serious” difficulty finding labor.

He claimed regional education reforms were required, and tech firms may be encouraged to work in this area.

Everyone must execute the catching up game in this area of training their people, according to” I see the space outside, because the technologies actually advance thus quickly.”

Benja Bencharongkul is the owner of Brainergy, a engineering software company run by a telecommunications company called Benchachinda Group, which operates its own data center and cloud services in Thailand.

He claimed that the country is currently suffering from a significant shortage of skilled workers, which is further exacerbated by the arrival of tech companies with high salaries and career opportunities. Local people are left to thrive inconveniently.

” When Google or Microsoft come in, I just see a huge demand increase with, at least in the short term, the same pool of supply ( of talent )”, he said.

” We are hunting in this same small pool, and what we have seen in the last three years is the 50 % or 20 % increase in the cost of talent with no discernible increase in skill.”

He is concerned that Thailand, which has continued to prioritise economic variety, may not be able to keep up with its mates like Vietnam, which has developed a strong tech industry.

” In the older Eastern perspective, when you ask people what they want to be, a lot might say they want to become a doctor, for instance, correct? Never in Vietnam again. They want to be in tech”, he said.

Tech leaders like Benja are concerned about countries trying to be everything at once as digitalization makes its mark on many aspects of society and organization.

” We just have 70 million people and we’re producing less and less people for the workforce”, he said, referring to Thailand’s declining population. ” But, to please every business is going to be a lot more threatening.

Institutions may have to make difficult choices both now and in the future. Trying to compete with global superpowers for AI growth may turn out to be a futile endeavor, according to Kanggrawan.

He claimed that looking for business suit or niche areas to use technology could provide more advantages to citizens.

” And if we can utilize that, perhaps in Southeast Asia, businesses or service providers can become world people, but we must be believable, “he said.

Technology and coaching programs have, nevertheless, created prospects for some people with disabilities.

Jidapa Nitiwirakun, 21, was only a child when she was diagnosed with muscular disease, a condition that has caused her to gain muscle power year on year.

As she got older, she began to consider career options. &nbsp,

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Equinix, National University of Singapore partner to explore sustainability and energy solutions for data centers

  • Co-innovation hospital set to open in Q1 2027
  • Aims to test effective, reliable software with companions &amp, customers

Equinix, National University of Singapore partner to explore sustainability and energy solutions for data centers

Equinix, Inc., the world’s digital infrastructure company, and the Centre for Energy Research &amp, Technology ( CERT ) under the National University of Singapore’s College of Design and Engineering ( NUS CDE ), have announced plans to establish a Co-Innovation Facility ( CIF ) in Singapore. This program aims to accelerate the development and testing of modern answers for low-carbon power, high-efficiency heating, curvature, and energy efficiency in information areas. In accordance with conservation objectives, the Freight will determine how the digital infrastructure may develop in Singapore and other tropical areas.

Singapore’s digital economy has grown at a compound annual growth rate of nearly 13 % since 2017, contributing 17.3 % to GDP in 2022. The nation continues to grow as a global business and innovation hub with over US$ 340 million ( RM3.2 billion ) allocated for the development of artificial intelligence ( AI ) over the next five years. Data centers may adopt sustainable practices to efficiently manage energy consumption and processing needs as digital demands increase.

The CIF, set to open in Equinix’s upcoming SG6 International Business Exchange ™ ( IBX ) data centre, is part of Equinix’s Data Centre of the Future Initiative. It will serve as an empty study hub for global tech innovators, data center partners, education, and customers to test technologies focusing on consistency, power efficiency, and cost efficiency.

To address the rising computational demands of AI, Equinix has made an initial investment of US$ 4 million ( RM17.8 million ) in the CIF, which will look into innovations like integrating clean and renewable energy sources, alternative power sources, and liquid cooling. The service will even test Cognitive Digital Twin features, which will enable predicted maintenance and upgrades to address problems with the company’s recent data center models.

Lee May Leong, managing director, Singapore, Equinix, said:” The effects of climate change are being felt around the world, and it is becoming increasingly essential to embed best techniques in every aspect of our procedures. We are making a major step forward in advancing our” Potential First” sustainability agenda by reviving our successful Co-Innovation Service from Ashburn and expanding our creative efforts in the Asia-Pacific area.
She continued,” It may accelerate the development of cutting-edge technology and use practical solutions to help lessen the carbon footprint of the growing number of data centers worldwide.”

Professor Lee Poh Seng, producer, Centre for Energy Research &amp, Technology, NUS College of Design and Engineering, said:” The creation of the Co-Innovation Service highlights our commitment to forging effective business partnerships that convert groundbreaking research into functional uses. Working with Equinix allows us to draw on our knowledge of sustainability and power development to address pressing issues affecting data centers in humid climates.

” Collectively, we aim to redefine measures for functional efficiency and sustainability in digital equipment, aligning with Singapore’s interests for sustainable development and industrial leadership. This agreement is a powerful move ahead in shaping a prospect where cutting-edge development meets economic responsibility”, he added.

Important Features

  • To get opened in Q1 2027, the CIF did test lasting improvements for data areas, such as:
      Other energy options: Energy cells and battery storage can provide low-carbon energy solutions for data centres, serving as bi-directional network interfaces and on-site perfect and/or backup solutions.

    • Direct current power distribution system: This electrical power distribution architecture, known as medium voltage AC to low-voltage DC ( MVAC-LVDC ), facilitates the seamless integration of battery energy storage systems, solar photovoltaics, and other renewable energy sources with data centre power distribution networks. It has the potential to enhance grid-side power quality, efficiency, and power density for data centres.
    • This cutting-edge cooling technique optimizes space while reducing energy consumption and noise. By allowing circular data center models, it also increases the possibility of recycling leftover heat.
    • Digital twin capabilities: Data-driven models and machine learning will be utilised to enable predictive maintenance and upgrades.

Equinix and NUS have long supported Singapore’s sustainability goals and implemented a number of initiatives, including scholarships for NUS students interested in finding solutions based on nature-based climate change. In 2022, Equinix, together with the Department of Electrical and Computer Engineering and CERT, both under NUS CDE, collaborated to explore hydrogen-based green fuel technologies for mission-critical data centre infrastructure.

The study compared PEM fuel cells and fuel-flexible linear generators, highlighting their efficiency and potential as backup power solutions, particularly in tropical climates. In 2023, the results were released.

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Chocolate makers stoke boom for Indian cocoa beans

George Matthew George Matthew wearing a flat cap stands in front of a cocoa tree, with cocoa pods hanging from branches.George Matthew

If it had n’t been for the squirrels, George Matthew’s attempt to become a cocoa bean producer might have failed.

His medical career took off in the 1970s when he inherited a rubber farm in Kerala, a state in southern India.

Rubber prices were falling, so it continued to lose cash as a result of heirlooming it. Therefore, Dr. Matthew made the decision to experiment with coco plants ten years ago in an effort to raise money to pay for the farm’s remaining costs.

He planted some trees that he had purchased. It did n’t go well.

” It was not that effective- most of the trees died”, he says.

Squirrels ate coco bean pods, which made it appear as though they were aggravating the condition.

However, those assaults resulted in the spread of cocoa seeds throughout the land.

According to Dr. Matthew,” All the scattered seeds quickly grew into flowers, and they were much healthier and stronger than the trees I planted.”

” The key was in sowing the seeds”, he realised.

Now Mr Matthews has 6, 000 cocoa plants on his 50 acres of land.

” I think it was the best choice I have made”, he says.

Getty Images Cocoa farmers breaking a cocoa pod on a plantation in Intag valley, Ecuador.Getty Images

India only accounts for 1 % of the nation’s cocoa bean manufacturing despite having a number of climate-suitable climates.

Global production is currently dominated by West Africa, where Côte d’Ivoire and Ghana between them produce more than half of the world’s annual output.

Only a third of the beans are needed by American chocolate and other candy producers.

According to Renny Jacob, chair of India Cocoa, a private company that has grown and processed cocoa beans for more than 30 ages,” the problem is that it is grown in extremely fragmented little holdings, so it does not receive the attention it deserves.”

He claims that American farmers are not good at handling leftover seeds after harvest. Beans undergo a fermentation approach at the plantation once they have been removed from their seeds, which can significantly affect their flavor.

According to Sarin Partrick, chief executive of India Cocoa,” coconut digestion is a crucial step in the production of chocolate,” turning fresh cocoa beans into a kind suited for chocolate production.

” This complicated operation involves several levels and the activity of various micro-organisms, which help grow the seeds ‘ aroma, taste, and colour”, he says.

Cocoa India Two women pour beans out of buckets into a pile ready for fermentation, at a barn in India.Cocoa India

To increase the quantity and quality of coco beans production, the state has introduced some initiatives.

It is funding initiatives to create composite cocoa varieties that are more successful than their traditional varieties.

Additionally, there are programs to teach producers the most modern methods for growing and preserving beans.

Dr. Femina, a worker in the federal agency charged with developing coco production, says,” There is a huge opportunity for American farmers to enter into cocoa cultivation and reap the benefits.”

Additionally, the company is funding new cocoa trees varieties.

Dr. Minimol J. S., who leads the cocoa studies division at Kerala Agriculture University, is developing cross cocoa trees with Cadbury.

In the program’s garden existing high-performing types are cross-bred with exotic types.

So far the program has come up with 15 novel kinds.

” These are India’s first hybrid, disease-resistant seeds”, she says.

” The seedlings are drought tolerant types, and have withstood conditions of even 40C, which is often not possible”, she adds.

Additionally, hybrids produce a lot more food than classic varieties.

” Every season, there are 0.25 kilograms of trees produced globally,” the statement states.

” In Kerala, we get 2.5 kg per month per branch. In Andhra and Telangana, we are actually getting a supply of four or five pounds per trees per time,” she says.

Kocoatrait Nitin Chordia, founder of Kocoatrait, reaches forward to handle some drying cocoa beans.Kocoatrait

India’s production of cocoa bean has risen tremendously. This year it hit 110, 000 kilograms, up 40 % from 2015. However, it is still insufficient to satisfy the demand from the area’s chocolatier and candy producers.

According to the Indian Cocoa Board, industry is generating an annual requirement increase of 15 %.

Kocoatrait is one of the newcomers in American chocolates production, having been established in 2019.

Just American cocoa beans are used, according to the company’s headquarters in Chennai, on the west coast.

The main reason for this is that directly grown seeds are significantly less polluting than those shipped from other continents.

In contrast, says Kocoatrait creator Nitin Chordia, American beans are cheaper than imports and had a peculiar flavour.

Additionally, Mr. Chordia runs an agrarian school where producers can learn about the most recent advancements in bean fermentation and drying.

He claims that” we are constantly focusing on improving the cocoa farmers ‘ practices in India.”

He adds that farmers in India must produce bean of higher value.

In the large cocoa bean market, he claims,” We are unable to compete with international people.”

While there has been development, American producers have some way to go.

” Over the last century, in the fine-flavour coco bean segment, India has started to acquire noticed… but it will be many years before all American fine flavour cocoa beans reach a stage of large-scale global recognition.”

Up in Kerala, Dr Matthew reflects on his generation as a coconut producer.

” It’s a tough grow, “he says”. Last time I had no offer. No farmer can be dependent entirely on cocoa; instead, they must also grow additional trees in addition.

Despite the challenges, he’s optimistic”. The future is bright, with great need.”

A multinational corporation has reached out to me to buy my production, which will result in a profit.

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Five startups win MYCentre4IR-Bursa Malaysia ESG Innovation Challenge 2024

  • Supports necessity of innovation to fulfill conservation, business goals
  • Powered by UpLink, the World Economic Forum’s available development program

Winners of the MYCentre4IR ESG Innovation Challenge 2024 alongside corporate partners and guests, including Norman Matthieu Vanhaecke, CEO of Cradle Fund; Ellina Roslan, Senior Director MYCentre4IR, MyDIGITAL Corporation; and Muhamad Umar Swift, CEO of Bursa Malaysia.

The MYCentre4IR ESG Innovation Challenge 2024 on 7 Nov saw five innovative startups winning US$ 22, 344 ( RM100, 000 ) each in bridge funding to implement their proof-of-concept with their respective corporate partners.

The Challenge is a joint initiative by the Malaysia Centre for Fourth Industrial Revolution ( MYCentre4IR ) and Bursa Malaysia Bhd, seeking to find cutting-edge digital solutions aimed at enhancing the Environmental, Social, and Governance ( ESG) efforts of five Malaysian Public Listed Companies, namely CJ Century Logistics Holdings Bhd, Globetronics Technology Bhd, Malayan Banking Bhd, REDtone Digital Bhd and Sunway Innovation Labs ( representing Sunway Group ).

Launched on 1 Aug, the Challenge attracted local and international members, including from the United States, Sweden, Canada, India, Singapore and Namibia. 32 out of over 100 entries came from Malaysia.

The Challenge was powered by UpLink0, the World Economic Forum’s open technology platform, with access to a worldwide group of 80, 000 companies, owners, professionals and changemakers. Early-stage businesspeople are met by UpLink’s technology-enabled method, which creates an innovation ecosystem that causes good systemic change for both people and the planet.

]The World Economic Forum’s UpLink is an open technology program designed to connect companies, experts, and investors with the goal of tackling the world’s most pressing issues, including climate change, cultural injustice, and sustainable growth. ]

Our goal with this Challenge is to find fresh ideas and creative digital solutions to help businesses achieve zero carbon pollution or increase efficiency through approach technology, according to Adrian Marcellus, CEO of MyDIGITAL Corporation. It attracted over 100 entries from businesses across 30 nations”.

He continued,” Our problem is the first to be implemented via UpLink for the Southeast Asia area because of our affiliation with the World Economic Forum.”

Muhamad Umar Swift, CEO of Bursa Malaysia shared its part in this engagement. We are constantly looking to support innovative businesses that have the ability to record on the Exchange, which could potentially contain any of these businesses. To expand our investment market’s pipeline of diversified companies, we need to do this. Hosting this Challenge reinforces the importance of intentional efforts to engage on innovation in order to achieve a company’s conservation and business objectives, which are becoming increasingly important to investors from PLCs these times.

A board of 11 courts, which included representatives from Bursa Malaysia, MyDIGITAL Corporation, Cradle Fund, and each of the five participating PLCs, presented their innovative solutions during the Demo Day held at Bursa Malaysia as part of the final round. Five winners were chosen, with one winning option related to each of the five PLCs, as a result.

The RM100, 000 in gate funding for each success may be co-disbursed in phases by MYCentre4IR and Cradle Fund for the execution of the proof-of-concept pilot jobs. The companies will collaborate closely with their business partners, who will provide assistance and mentoring throughout the application phase of the year. The goal will be to achieve ESG outcomes and tangible process automation.

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