The AI Revolution Has a Power Problem

Easy access to electricity is posing a big challenge to the race for AI dominance, says Microsoft Chairman and CEO Satya Nadella. Jason Redmond / AFP/File
Easy access to electricity is posing a big challenge to the race for AI dominance, says Microsoft Chairman and CEO Satya Nadella. Jason Redmond / AFP/File
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The AI Revolution Has a Power Problem

Easy access to electricity is posing a big challenge to the race for AI dominance, says Microsoft Chairman and CEO Satya Nadella. Jason Redmond / AFP/File
Easy access to electricity is posing a big challenge to the race for AI dominance, says Microsoft Chairman and CEO Satya Nadella. Jason Redmond / AFP/File

In the race for AI dominance, American tech giants have the money and the chips, but their ambitions have hit a new obstacle: electric power.

"The biggest issue we are now having is not a compute glut, but it's the power and...the ability to get the builds done fast enough close to power," Microsoft CEO Satya Nadella acknowledged on a recent podcast with OpenAI chief Sam Altman.

"So if you can't do that, you may actually have a bunch of chips sitting in inventory that I can't plug in," Nadella added.

Echoing the 1990s dotcom frenzy to build internet infrastructure, today's tech giants are spending unprecedented sums to construct the silicon backbone of the revolution in artificial intelligence.

Google, Microsoft, AWS (Amazon), and Meta (Facebook) are drawing on their massive cash reserves to spend roughly $400 billion in 2025 and even more in 2026 -- backed for now by enthusiastic investors.

All this cash has helped alleviate one initial bottleneck: acquiring the millions of chips needed for the computing power race, and the tech giants are accelerating their in-house processor production as they seek to chase global leader Nvidia.

These will go into the racks that fill the massive data centers -- which also consume enormous amounts of water for cooling.

Building the massive information warehouses takes an average of two years in the United States; bringing new high-voltage power lines into service takes five to 10 years.

Energy wall

The "hyperscalers," as major tech companies are called in Silicon Valley, saw the energy wall coming.

A year ago, Virginia's main utility provider, Dominion Energy, already had a data-center order book of 40 gigawatts -- equivalent to the output of 40 nuclear reactors.

The capacity it must deploy in Virginia, the world's largest cloud computing hub, has since risen to 47 gigawatts, the company announced recently.

But some experts say the projections could be overblown.

"Both the utilities and the tech companies have an incentive to embrace the rapid growth forecast for electricity use," Jonathan Koomey, a renowned expert from UC Berkeley, warned in September.

As with the late 1990s internet bubble, "many data centers that are talked about and proposed and in some cases even announced will never get built.

Emergency coal

If the projected growth does materialize, it could create a 45-gigawatt shortage by 2028 -- equivalent to the consumption of 33 million American households, according to Morgan Stanley.

Several US utilities have already delayed the closure of coal plants, despite coal being the most climate-polluting energy source.

And natural gas, which powers 40 percent of data centers worldwide, according to the International Energy Agency, is experiencing renewed favor because it can be deployed quickly.

In the US state of Georgia, where data centers are multiplying, one utility has requested authorization to install 10 gigawatts of gas-powered generators.

Some providers, as well as Elon Musk's startup xAI, have rushed to purchase used turbines from abroad to build capability quickly. Even recycling aircraft turbines, an old niche solution, is gaining traction.

"The real existential threat right now is not a degree of climate change. It's the fact that we could lose the AI arms race if we don't have enough power," Interior Secretary Doug Burgum argued in October.

Nuclear, solar, and space?

Tech giants are quietly downplaying their climate commitments. Google, for example, promised net-zero carbon emissions by 2030 but removed that pledge from its website in June.

Instead, companies are promoting long-term projects.

Amazon is championing a nuclear revival through Small Modular Reactors (SMRs), an as-yet experimental technology that would be easier to build than conventional reactors.

Kara Hurst, chief sustainability officer at Amazon, introduces TRISO-X Pebbles, next-generation nuclear fuel developed for small modular reactors, during Amazon's 'Delivering the Future' presentation in California

Google plans to restart a reactor in Iowa in 2029. And the Trump administration announced in late October an $80 billion investment to begin construction on ten conventional reactors by 2030.

Hyperscalers are also investing heavily in solar power and battery storage, particularly in California and Texas.

The Texas grid operator plans to add approximately 100 gigawatts of capacity by 2030 from these technologies alone.

Finally, both Elon Musk, through his Starlink program, and Google have proposed putting chips in orbit in space, powered by solar energy. Google plans to conduct tests in 2027.



Saudi Arabia Leads Globally in Women’s AI Empowerment with Groundbreaking Initiatives

Saudi Arabia Leads Globally in Women’s AI Empowerment with Groundbreaking Initiatives
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Saudi Arabia Leads Globally in Women’s AI Empowerment with Groundbreaking Initiatives

Saudi Arabia Leads Globally in Women’s AI Empowerment with Groundbreaking Initiatives

The Kingdom of Saudi Arabia has made significant strides in empowering women in the data and artificial intelligence (AI) sectors, aiming to elevate their global competitiveness as part of Saudi Vision 2030.

Numerous initiatives have increased the participation of Saudi women in advanced technologies, with the Saudi Data and Artificial Intelligence Authority (SDAIA) offering specialized programs and workshops in partnership with global technology leaders, SPA reported.

In just one year, over 666,000 Saudi women received training in data and AI, positioning the Kingdom first globally in women’s AI empowerment, according to the 2025 AI Index by Stanford University. Key initiatives include the Artificial Intelligence Academy with Microsoft, the Generative AI Academy with NVIDIA, the "SAMAI" initiative (targeting one million Saudis in AI), and the development of a national data and AI curriculum for university students.

These programs have enhanced women's skills and facilitated their contributions to crucial sectors such as health, energy, and education.

SDAIA has created a supportive work environment for women through flexible digital infrastructure, enabling remote work and work-life balance. This commitment reflects the Kingdom's dedication to building a sustainable, data-driven economy, with Saudi women now playing vital roles in shaping the future of advanced technologies.


China Could See Widespread Use of Brain-Computer Tech in 3-5 Years, Expert Says

People cross a road in Beijing on March 6, 2026. (AFP)
People cross a road in Beijing on March 6, 2026. (AFP)
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China Could See Widespread Use of Brain-Computer Tech in 3-5 Years, Expert Says

People cross a road in Beijing on March 6, 2026. (AFP)
People cross a road in Beijing on March 6, 2026. (AFP)

China could see brain-computer interface (BCI) technology move into practical public use within three to five years as products mature, a leading BCI expert said, as Beijing races to catch up with US startups including Elon Musk's Neuralink.

Beijing elevated BCIs to a core future strategic industry in its new five-year plan released this week, placing it alongside sectors such as quantum, embodied AI, 6G and nuclear fusion.

"New policies will not change things overnight. I think after another three to five years, we will gradually see some (BCI) products moving ‌towards actual practical ‌service for the public," said Yao Dezhong, Director of ‌the ⁠Sichuan Institute of Brain ⁠Science, in an interview on Saturday on the sidelines of China's annual parliament meetings in Beijing.

TRIALS

A national BCI development strategy released last year aims for major technical breakthroughs by 2027 and for China to cultivate two or three world-class firms by 2030.

China is the second country to launch invasive BCI human trials. More than 10 trials are active, matching the US, while scientists plan to enroll more ⁠than 50 patients nationwide this year.

Recent high-profile trials have enabled ‌paralyzed patients and amputees to regain partial mobility ‌and operate robotic hands or intelligent wheelchairs.

The government has already integrated some BCI treatments into ‌national medical insurance in a few pilot provinces, and the domestic market is ‌projected to reach 5.58 billion yuan ($809 million) by 2027, according to CCID Consulting.

"China has many advantages in BCIs, such as its huge population, enormous patient demand, cost-effective industrial chain and abundant pool of STEM (science, technology, engineering and maths) talent," said Yao, who also ‌leads a key neuroinformatics research center under China's science and technology ministry.

Policies such as insurance integration and national standards aim ⁠to close the "huge" ⁠gap between scientific research, industry and clinical applications, he said.

"The path from experimental to clinical trials is quite long, and this remains a problem," he told Reuters, adding that many Chinese hospitals have established BCI research labs to speed up the process.

While US startups like Neuralink focus on invasive chips that penetrate brain tissue, Chinese researchers are developing invasive, semi-invasive and non-invasive BCIs with wider potential clinical use.

Semi-invasive BCIs, placed on the brain's surface, may lose some signal quality but reduce risks such as tissue damage and other post-surgery complications. Neuralink's surgical robot can insert hundreds of electrodes into the brain in minutes.

"This is a technical advantage, which I think is remarkable," said Yao, of Neuralink.

"(But) China is actually making very fast progress in this area now. In fact, Musk's direction is basically achievable domestically."


Questions over AI Capability as Tech Guides Iran Strikes

Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
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Questions over AI Capability as Tech Guides Iran Strikes

Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP

The latest bout of fighting between the United States, Israel and Iran has seen AI deployed as never before to sift intelligence and select targets, although the technology's use in war remains hotly debated.

Different forms of artificial intelligence have reportedly been used to guide the Israeli campaign in Gaza and the capture of Venezuelan leader Nicolas Maduro in an American raid.

And experts believe the technology has helped select targets for the thousands of US and Israeli strikes on Iran since February 28 -- although exact uses have yet to be confirmed.

Today "every military power of any significance invests hugely in military applications of AI," said Laure de Roucy-Rochegonde of French think tank IFRI.

"Almost any military function can be boosted with AI," from "logistics to reconnaissance, observation, information warfare, electronic warfare and cybersecurity," she added.

AI tools can also be found built into semi-autonomous attack drones and other weapons.

But one of their best-known uses is in shortening the so-called "kill chain", the time and decision-making between detecting a target and striking it.

US forces use the Maven Smart System (MSS) built by Palantir, which the company says can identify and prioritize potential targets.

The Washington Post reported this week that Anthropic's Claude generative AI model has been integrated with Maven to boost the tool's detection and simulation capabilities.

Palantir and Anthropic did not respond to AFP's requests for comment.

AI algorithms "allow us to move much faster in handling information, and above all to be more comprehensive," said Bertrand Rondepierre, head of the French army's AI agency AMIAD.

The technology can sift through vast quantities of data, including "satellite images, radar, electromagnetic waves, sound, drone images and sometimes real-time video," he added.

Human control

AI's deployment in war poses a slew of moral and legal questions, notably on the extent of human control over their actions.

The debate was brought to the fore during the fighting in Gaza, where Israeli forces used a program dubbed "Lavender" to identify targets -- within a certain margin of error.

That application worked "because it covered a very limited area", de Roucy-Rochegonde said.

Israel also has a "mass surveillance system" that could feed data about the enclave's inhabitants into Lavender.

It seems less likely that such a system has been set up in Iran," she added.

"If something does go wrong, then who's responsible?" Peter Asaro, chair of the International Committee for Robot Arms Control (ICRAC), said in an interview with AFP.

The widely reported bombing of an Iranian school -- which authorities there say killed 150 people -- could be a case of mistaken AI targeting, he added.

Neither the United States nor Israel has acknowledged responsibility for the strike.

AFP was unable to reach the scene of the school to verify what happened there.

But the site was close to two facilities controlled by the Iranian Revolutionary Guard Corps (IRGC), Tehran's powerful ideological elite.

"They didn't distinguish it from the military base as they should have, (but) who is they?" he asked -- human or machine?

If AI was used, he argued that the key question is "how old was the data" used for the targeting, and whether the misdirected strike stemmed from "a database error".

Step by step

Rondepierre said that AIs "operating without anyone being in control" are "science fiction".

In France, at least, "military commanders are at the heart of the action and the design of these systems," he insisted.

"No military decision-maker would agree to use an AI if he didn't have trust in and control over what it's doing," Rondepierre added.

"They know what the risks involved are, what the capabilities of these systems are and what contexts they can use them in, with what level of trust."

Today was just the "beginning" on use of AI by the world's armed forces, said Benjamin Jensen of Washington-based think tank CSIS, who has taken part in tests of AI in military decision-making over the past decade.

The world's armies "haven't fundamentally rethought how we plan, how we conduct operations, to take advantage" of AI's capabilities, he added.

"It's going to take a generation for us to really figure this out."