When Donald Trump and Xi Jinping met in Washington last week, artificial intelligence was among the issues dividing their countries. Days earlier, Treasury Secretary Scott Bessent said the two sides had agreed to establish a formal AI dialogue, including an incident line, though its protocols had yet to be worked out. The summit produced no […]
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They’ve been shown to raise electricity bills, pollute drinking water, do little to boost local employment while threatening millions of jobs in a variety of industries, and top executives have warned that the technology they support could wipe out all of humanity by the end of the decade. But rather than take widespread public opposition to artificial intelligence data centers at face value, House Speaker Mike Johnson (R-La.) announced he had […]
The post US House speaker sees AI data center worries as ‘Chinese psyop’ appeared first on Asia Times.
Beijing may let its technology giants buy more Nvidia high-end chips, giving the US chip designer a fresh foothold in China and keeping Chinese artificial intelligence (AI) developers tied to its software after months of stalled trade. China’s Ministry of Industry and Information Technology (MIIT) has asked major domestic companies, including ByteDance, Alibaba and Tencent, […]
The post After Trump-Xi summit, Nvidia RTX PRO 5500 gains export prospects appeared first on Asia Times.
One of my fundamental beliefs about the world is that Ramez Naam ought to blog more. Ramez is one of the world’s greatest futurists — he predicted the solar and battery revolutions long before these were widely understood. If you were reading Ramez in 2011, you were able to understand the future of both energy technology and climate change, […]
The post So where’s the ‘intelligence explosion?’ appeared first on Asia Times.
After struggling for hours with an electronic check-in at an Arizona motel, Guy de la Bédoyère is convinced that if any evil genius thinks he can take over the world with computers he is going to be bitterly disappointed.
The post Why No-One Will Ever Be Able to Take Over The World With Electronics appeared first on The Daily Sceptic.
When Donald Trump and Xi Jinping met in Washington on September 24, AI and Taiwan shared the agenda. Xi said AI should remain “under human control” and called for continued US-China dialogue on its risks and benefits. On Taiwan, he urged Washington to “oppose Taiwan independence” and handle the issue “with caution.” Trump, for his […]
The post Taiwan’s ‘silicon shield’ is in a race against time appeared first on Asia Times.
Beijing has agreed to work with Washington to improve governance of artificial intelligence (AI) technologies and to enhance cooperation as Chinese President Xi Jinping and United States President Donald Trump met face-to-face at the White House on Thursday. Xi made the pledge in his speech at a morning welcoming ceremony, before the two leaders held […]
The post Xi backs AI safety with Trump, draws Taiwan line, urges Iran talks appeared first on Asia Times.
The head of the European Commission, Ursula von der Leyen (pictured), says AI has the “potential to benefit humanity”.
Her comments came on Wednesday in her landmark “state of the union” address to MEPs.
A speech touched on numerous areas and they included AI which has rocketed up the political agenda in recent times.
In her address to Euro members at their monthly plenary in Strasbourg, she referred to AI as a “tipping point of our times.”
The commission president declared, “AI is fast becoming a foundational layer for our economy and security. Europe's stance is clear. We want to make the most of AI to improve our society, our quality of life and our productivity.
“I am an optimist that AI has the potential to benefit humanity – if we get it right. But, as with any powerful new technology, AI comes with a balance of possibilities and risks. Without addressing these risks, we will never be able to unlock AI's possibilities.”
The former German defence minister noted, “As the frontier models become more capable, these risks have come more sharply into focus.
“Models being developed will allow hacking on a level we never thought possible. And they will soon be in the hands of adversaries who see the world very differently from us.”
She told deputies, “At the same time, the dangers of self-improving models are becoming ever more apparent.
“Incidents of AI agents escaping their environment or inserting malicious code are a mere glimpse. After the HuggingFace incident, developers are ringing the alarm. And CEOs of the most advanced companies tell us that it is time to slow down on the self-recursive models. To pace the frontier.”
Von der Leyen added, “If the people developing the technology are clear, then we should be too. The AI Act is of course a crucial piece to putting guardrails in place.
"And it puts Europe in the position to shape global efforts on how to tackle this.”
In her comments on AI she said, “So, we will step up together with our like-minded partners like Canada, the United Kingdom and others. We want to team up on model evaluation, verification, early warning, AI security and much more.
“And I will invite the main frontier labs for a discussion on how we can support ongoing industry efforts to pace the frontier,” she said.
Concerns about the water and energy demands of data centers have become prolific in recent weeks. But debates about their impact often overlook the rapid advances in cooling technology and cleaner energy that are already having an impact.
However, data centers’ resource consumption should be front and center of the AI conversion, as it is set to grow rapidly. By 2030, data centers’ water and energy consumption will double as AI demand leads to rapid construction of the infrastructure.
But data centers will not cause the world to run out of water or energy. Water- and energy-saving technologies already in use are reducing their impact, while Shanghai’s groundbreaking underwater data center demonstrates how innovative design can limit water, energy and land use.
Data centers have underpinned the internet since its founding. Apps, email, file storage and cloud services all run through them.
Modern AI workloads, however, have transformed their power demands beyond recognition. Today a single AI data center can match the electricity consumption of 100,000 homes, making them a significant drain on local energy grids, especially if a region is susceptible to shortages.
Data centers’ energy consumption is only rising as more are built across the world. In the US, data centers could increase from 4.4% to 12% of national electricity usage by 2028 — that is equivalent to adding eight New York Cities to the American grid.
Data centers also consume large amounts of water in two main ways. Water is used directly to cool servers and storage systems, which generate considerable heat, and indirectly to produce electricity at fossil fuel power plants where it is heated into steam to drive turbines.
In the UK, data centers have been estimated to use up to eight times as much water as average on hot summer days, underlining how their impact can rise when local resources are already under strain.
As the effects of climate change intensify, the location of data centers, and methods to reduce their water and energy consumption, are becoming ever more important.
Fortunately, resource-saving measures are already being implemented. Data centers on land use closed-loop cooling systems that recycle water rather than continually evaporating it. This can reduce freshwater use by up to 70% compared to traditional open evaporative methods.
China has also pioneered a revolutionary new type of data center in Shanghai: wind-powered, and underwater. The facility, which began full commercial operations in May 2026, uses seawater as a coolant instead of using refrigerated fresh water as land-based data centers do, reducing the electricity required to cool the computers.
It uses at least 30% less electricity than traditional data centers, and offshore wind turbines reduce reliance on fossil fuels and cut the data center’s carbon emissions. Innovative solutions such as these will go a long way to reducing data centers’ resource consumption.
AI is also part of the solution to data centers’ draw on resources. AI can optimise electricity grids and shift computing workloads towards periods when cleaner energy is more efficient, making energy use more effective overall. AI can also anticipate fluctuations in demand and adjust energy consumption accordingly, reducing waste.
It might sound obvious, but some areas are just better equipped to accommodate a data center than others. For example, facilities in hot or water-stressed regions will impose a heavier burden on resources than those supplied by cleaner energy with plentiful water and located in cooler climates.
AI’s growing demand for data centers will increase electricity and water consumption, that is true. But it does not mean the technology will exhaust regional or global supplies of either resource.
The AI boom and the infrastructure buildout accompanying it are well underway. To manage its impact, the industry needs to plan ahead. Cleaner energy, efficient cooling, and sites that have significant water and energy supplies will all limit the infrastructure’s drain on resources.
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