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The development marks a notable shift for an administration that has largely championed minimal intervention and repeatedly warned against rules that could slow innovation
News18
President Donald Trump has signed a new executive order that requires America’s leading AI companies to voluntarily share their most advanced AI models with the US government before releasing them to the public. The goal is to identify cybersecurity and national security risks posed by increasingly powerful AI systems.
The development marks a notable shift for an administration that has largely championed minimal intervention and repeatedly warned against rules that could slow innovation. While the order stops short of mandatory government approval or licensing, it reflects growing concern in Washington that frontier AI systems could become a national security challenge rather than merely a commercial product.
So, what happens to a country like India, which is eyeing $200 billion in AI-focused investments, building indigenous language models and pursuing ambitious semiconductor goals? What does Trump’s move mean? Let’s find out.
What Has Trump Announced?
The executive order creates a voluntary framework under which developers of advanced AI systems can allow the US government to review their models up to 30 days before public release. Agencies including the Departments of Defense, Homeland Security, Treasury and Commerce will assess potential cybersecurity and national security risks.
The order also establishes mechanisms for government agencies and AI companies to share information about vulnerabilities that could threaten critical infrastructure, including banking systems, healthcare networks and emergency services.
Importantly, the administration rejected proposals for mandatory testing or government approval of AI models. Participation remains voluntary, reflecting concerns that excessive oversight could slow American innovation and undermine competition with China.
In other words, Washington is not regulating AI in the same way it regulates pharmaceuticals or nuclear technology. Instead, it is attempting to create an early-warning system for potentially dangerous AI capabilities.
Why Is Washington Suddenly Worried?
The growing concern stems from the rapid advancement of so-called “frontier models” — the most powerful AI systems being developed by companies such as OpenAI, Anthropic and Google.
These models are no longer viewed solely as tools for generating text, images or software code. Policymakers increasingly worry that advanced AI could discover cybersecurity vulnerabilities, automate sophisticated cyberattacks or assist hostile actors in targeting critical infrastructure.
“The most sophisticated AI systems currently exist only as frontier models, which are capable of performing multi-faceted reasoning, creating computer code, conducting scientific experiments, and making independent decisions,” said Anurag Jain, CEO and Founder, Oriserve.
The US government has expressed concerns about possible misuse of these models for cyberattacks, spreading misinformation, undertaking biological research, or threatening national security. “A thorough review of these kinds of models allows governments to detect potential risks prior to implementing them on an extensive scale,” Jain added.
Govind Rammurthy, CEO & Managing Director, eScan, invokes similar views. “The US government’s concern is legitimate. When Mythos discovered 271 Firefox vulnerabilities in a single pass that human researchers missed for years, it exposed both opportunity and risk. Frontier models can identify cybersecurity weaknesses faster than defenders can patch them. They can also be weaponized for AI-orchestrated attacks,” Rammurthy pointed out. Thus, Trump’s move is a “pro defence and not a constraint”.
Recent debates in Washington were reportedly triggered by concerns over increasingly capable AI systems that demonstrated advanced cybersecurity abilities. National security officials fear that future models may become powerful enough to identify weaknesses in digital networks faster than human experts.
The White House said in a social media post on Tuesday that the executive order “creates a process for frontier labs to voluntarily share cutting-edge cyber models in order to secure critical infrastructure and strengthen the government’s own cyber defenses. We are NOT conducting oversight of all new models, as that level of government overreach would have chilling effects on free speech and innovation.”
Juan Londoño, a policy analyst at the Cato Institute in Washington, said Trump’s executive order is imperfect but “a step in the right direction to prepare the nation for the release of advanced AI systems,” as quoted by Associated Press.
Though he appreciated the White House’s characterisation of the process as voluntary, Londoño said he was concerned about the vagueness of how the government, led by the director of the National Security Agency, will decide which AI models qualify for scrutiny, and how it will decide which “trusted partners” get early access to them, the AP report added.
What Changed In Trump’s AI Stance?
Throughout his political career, Trump has generally opposed regulations that could slow American businesses. His administration has repeatedly argued that excessive rules could allow China to overtake the US in emerging technologies.
In fact, earlier versions of the AI order reportedly contemplated stricter review mechanisms, including longer review periods and stronger oversight. Those proposals faced resistance from Silicon Valley executives and some administration officials who feared they could hurt America’s competitive advantage.
The final order therefore represents a compromise. It introduces oversight without imposing mandatory restrictions. The administration continues to emphasise innovation and American leadership while acknowledging that some level of scrutiny may now be necessary.
The result is a hybrid model: regulation through cooperation rather than regulation through enforcement.
US Vs China: Who Is Ahead In The AI Race?
Behind the executive order lies a larger geopolitical contest. AI has been viewed as one of the most important technologies shaping economic growth, military power and geopolitical influence. Washington has seen increased AI competition from China in the same strategic category as semiconductors, telecommunications and advanced defence technologies.
Thus, any move too slow on regulation and powerful AI systems could create cybersecurity risks. But an aggressive move could make American companies lose their competitive edge.
“Currently, the US is ahead of the rest of the world with regards to developing foundation models, manufacturing AI chips, and innovating through private-sector entrepreneurship, while China excels at the large-scale implementation of sophisticated AI systems due to superior access to data and government-supported AI initiatives,” explained Jain.
Despite there being regulations prohibiting certain actions, the Chinese government continues to develop ways to expedite their AI technology development process through aggressive government support, significant financial investments, a large number of research institutions, and rapid commercialisation across multiple industries and public sector services, he added.
Therefore, the new executive order also reflect why Washington is keen on balancing these competing pressures. The administration wants stronger safeguards without undermining the innovation that has helped the US maintain its leadership position in AI.
What Does This Mean For India?
India may not yet have frontier AI companies on the scale of OpenAI or Anthropic, but the implications are significant.
First, the order signals that governments increasingly view advanced AI as strategic infrastructure rather than just another technology product. This could influence how India designs its own AI governance framework.
Second, Indian policymakers may face similar questions in the future. Should powerful AI models be reviewed before deployment? Should governments have access to advanced systems that could affect national security? How should countries balance innovation with cybersecurity?
Third, Indian start-ups that rely heavily on American AI models could find themselves indirectly affected if future US rules become stricter. Delays in model releases, export restrictions or additional compliance requirements could ripple through the global AI ecosystem.
“Indian start-ups relying on US AI APIs face two near-term risks. First, API costs will certainly increase as US companies monetise compliance requirements. Second, stricter export controls could restrict API access entirely to non-US entities,” stressed Rammurthy.
He suggested that India’s strategic response needs to be “immediate”. Pilot Indian sovereign models like Sarvam or BharatGen within enterprises while building new applications. “US API dependence creates structural vulnerability. Companies leveraging Indian models today have competitive advantage when restrictions tighten,” he pointed out.
“Trump’s order inadvertently has created a transition window. Companies recognizing this shift earliest will migrate smoothly,” he added.
When asked about India’s LLM models, Rammurthy said India already has its own indigenous LLMs. Sarvam AI launched models in February 2026 trained on Indian languages. BharatGen’s Param2, developed by IIT-Bombay, supports 22 Indian languages. Gnani.ai is building voice-first models. He stressed that Sarvam AI’s earlier Sarvam-M (May 2025) was built on Mistral’s architecture, but, as per information available, their new Sarvam 30B and 105B models launched February 2026 are trained from scratch on Indian datasets.
“The real constraint isn’t building LLMs, it’s enterprise adoption. Most Indian companies default to ChatGPT or Claude because they’re established. Shifting to domestically-built alternatives requires demonstrating superior value for Indian-specific problems,” he said.
Could This Become The Global Model?
The US executive order is far less restrictive than Europe’s AI Act and nowhere near as interventionist as China’s approach. Yet it reflects a growing international consensus that frontier AI systems cannot be treated like ordinary software.
If powerful AI models continue to demonstrate capabilities with cybersecurity, military or critical infrastructure implications, governments around the world may seek greater visibility into how these systems are developed and deployed.
“Numerous governments are examining the way advanced AI is being managed. Should the capabilities of the US federal framework be shown to work well, then various countries may adopt similar types of regulatory tools for oversight of frontier models. Furthermore, the method of approach will vary from region to region based on their own priorities, as some will have greater emphasis on innovation versus security and regulatory oversight,” said Jain.
Rammurthy says if most countries require pre-release access, frontier labs will normalise the practice. He further highlighted that Trump’s order becomes the benchmark because it does not “restrict innovation”, just “shifts transparency timelines”.
“India benefits most by building this into its AI governance frameworks now, rather than adopting frameworks reactively later when global pressure forces compliance,” he cautioned.
For now, Trump’s order remains voluntary. But it also represents a shift in thinking.
About the Author
Shilpy Bisht is a News Editor at News18, where she leads the English app operations. She writes on world affairs, health, AI, career, business, and issues affecting women and children. A former print …Read More
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