As Washington accelerates, India faces its next tech test

Donald Trump has changed the vocabulary of America’s AI debate. His administration now speaks increasingly of “Super Intelligence”, and on September 29 the phrase acquired a remarkable cast of characters at the White House. Elon Musk, Mark Zuckerberg, Sundar Pichai, Jensen Huang, Dario Amodei, Satya Nadella, Jeff Bezos and Open AI president Greg Brockman were among a gathering representing much of the machinery on which the AI revolution presently depends: models, chips, cloud computing, platforms, data centres and enormous pools of capital. The immediate outcome was a voluntary accord on frontier AI safety. Companies agreed to stronger internal controls, independent external audits and board level scrutiny.

Trump called the commitments “morally binding” and spoke approvingly of “tremendous self policing”. Yet the President made equally clear that he would “never stifle” a technology he believes could exceed the Industrial Revolution in importance. In those two apparently contradictory impulses lies the real Washington story: America wants safeguards around AI, but it has no intention of allowing those safeguards to cost it the technological race. The meeting itself had surfaced publicly only days earlier. Reuters reported on September 24 that Trump, US House Speaker Mike Johnson and technology chiefs would meet five days later, with further details then unavailable. By the eve of the gathering, Johnson was publicly defining the objective: Washington did not need a moratorium or “hyper-regulation” that could cause America to “lose the race to China”; it needed, he said, to find the right balance between innovation and oversight.

Then came a piece of political theatre that captured the argument better than another policy document might have done. What began as a closed-door luncheon spilled unexpectedly into public view when Trump emerged onto the White House driveway, an area rarely used by the President for such encounters, with Johnson and some of the world’s most powerful technology executives lined up shoulder to shoulder behind him. Trump took questions from journalists for roughly half an hour as the CEOs stood there. Washington has been gripped by renewed concern over the risks of increasingly powerful AI, but the tableau outside the White House conveyed the administration’s answer rather neatly: the builders would be asked to police themselves, government would look for guardrails, but America would keep moving.

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FROM ARTIFICIAL INTELLIGENCE TO ‘SUPER INTELLIGENCE’

The terminology may sound characteristically Trumpian, but the technological change underneath it is serious. AI is moving from systems that principally respond to human prompts towards agents capable of carrying out sequences of actions with progressively less human supervision. The debate is consequently shifting from what an AI system can say to what an AI system should be permitted to do.

That distinction helps explain the growing divide not merely in Washington but within the technology industry itself. Some frontier laboratories have warned that increasingly autonomous systems require stronger safeguards, while others argue that a broad slowdown could surrender technological ground to competitors. The disagreement is no longer between people who believe in AI and those who do not. It is increasingly between those who fear moving too fast and those who believe that, in a strategic competition with China, slowing down carries risks of its own.

The political fraternity in Washington is confronting much the same dilemma. Lawmakers are debating how much oversight is necessary without choking innovation, while technology journalists and the foreign press are increasingly examining not merely the extraordinary capabilities of the models but who should be accountable when autonomous systems behave in ways their creators did not anticipate. On Capitol Hill itself, senators attempted on September 29 to advance legislation that would have created an AI safety board and enforceable standards for evaluating frontier models; the effort was blocked in the Senate.

For India, however, the argument reveals something even more immediate. The race has already moved beyond the model.

THE REAL AI RACE IS UNDER THE BONNET

Until recently, the easiest way to follow AI was to compare models. Who reasoned better? Which chatbot generated better code? Who was ahead in multimodality or agents? That scoreboard is becoming inadequate because the glamorous part of AI is the model; the expensive part is everything underneath it.

Frontier systems require GPUs, semiconductor fabrication, enormous data centres, electricity, cooling, networks, datasets, researchers and capital on a scale that would have appeared extraordinary even by Big Tech standards a few years ago. Nvidia’s Jensen Huang therefore matters to this story as much as the people building the models themselves.

For the average American, this increasingly has a tangible dimension. A data centre is no longer an abstraction when it arrives in a community consuming vast quantities of electricity and residents begin asking what it means for their utility bills, water resources and local infrastructure. The opposition has become sufficiently visible and bipartisan for Trump to address it directly on Tuesday, arguing that technology companies should provide greater benefits to the communities hosting these facilities. The International Energy Agency estimates that electricity consumed by data centres worldwide could rise to roughly 945 terawatt-hours by 2030, more than twice the 2024 level. The irony of the AI revolution is that something experienced through an almost weightless screen is developing the physical appetite of heavy industry.