Artificial intelligence emerged as a major point of debate at a G20 technology and innovation meeting in North Carolina, where some of the world's biggest technology executives urged governments to avoid broad regulations that could slow the development and adoption of AI.

Nvidia CEO Jensen Huang, OpenAI CEO Sam Altman, Meta CEO Mark Zuckerberg and Tesla and SpaceX founder Elon Musk were among the prominent technology leaders participating in discussions over the future of artificial intelligence.

The debate comes as governments face growing concerns about AI-related cybersecurity threats, data-centre expansion, open-source models and the intensifying technology competition between the United States and China.

Tech leaders oppose broad AI rules

Huang delivered one of the strongest arguments against regulating AI based on hypothetical future dangers.

He urged governments to focus on demonstrated risks rather than imposing restrictions based on possible harms that have not yet materialised. His position reflects the technology industry's broader concern that complicated regulatory requirements could make it harder for companies to develop and deploy increasingly capable AI systems.

Musk also advocated a relatively light regulatory approach and criticised Europe's more interventionist model during discussions attended by European officials.

The executives argued that regulation should target concrete problems without restricting technological progress more broadly.

Musk predicts major economic gains

Musk said AI could eventually increase the size of the global economy by between 20 per cent and 30 per cent.

He linked much of that potential to AI-enabled robotics, which could automate tasks and increase productivity across manufacturing and other industries.

The prediction illustrates the economic argument being made by technology companies: AI could become a major driver of productivity, investment and economic growth if development is not constrained by excessive regulation.

However, governments are simultaneously trying to determine how to manage the social and security risks created by increasingly powerful systems.

Altman backs international standards

The discussion was not a blanket rejection of AI oversight.

Altman supported international standards aimed at addressing risks such as cybersecurity. Demis Hassabis, chief scientist at Google's parent company Alphabet, also backed cooperation around safeguards for advanced AI systems.

Altman compared the potential consequences of rejecting AI outright with refusing to adopt electricity more than a century ago.

His position highlights a distinction emerging in the global AI debate: technology companies may oppose sweeping restrictions while still supporting targeted standards covering specific and demonstrable risks.

US backs lighter regulation

The US administration broadly echoed the industry's preference for limited mandatory regulation.

Commerce Secretary Howard Lutnick said President Donald Trump wants the United States to retain its leadership in AI and expand American technology's reach internationally.

White House AI adviser David Sacks and Michael Kratsios, director of the Office of Science and Technology Policy, have also supported an approach that places greater emphasis on innovation and voluntary safeguards rather than extensive mandatory rules.

Washington's position is closely connected to the growing competition with China over advanced computing, AI models and the global technology market.

Cybersecurity risks grow

The debate comes as increasingly capable AI systems raise fresh cybersecurity concerns.

Recent incidents involving advanced AI models have demonstrated how such systems can potentially be misused or manipulated to conduct cyber-related activities. AI developers have responded with additional safeguards, staged releases and tighter monitoring of powerful models.

The growing capabilities have also forced governments to consider whether existing regulatory frameworks are sufficient to address risks that were not anticipated when earlier technology rules were developed.

For AI companies, however, the challenge is to improve safety without creating restrictions that make development significantly slower or more expensive.

Open models create new concerns

Open-weight AI models have become another major area of disagreement.

Unlike fully closed systems, open-weight models can make their underlying parameters available for others to download, modify and deploy. Chinese technology companies have recently released increasingly capable models using this approach.

US officials are examining whether access to some advanced systems should be restricted because of potential security implications.

Supporters of open models argue that wider access can encourage innovation, research and competition. Critics warn that unrestricted access to powerful AI capabilities could make it easier for malicious actors to exploit the technology.

Data centres face scrutiny

The rapid expansion of AI is also creating pressure on physical infrastructure.

AI models require enormous computing capacity, leading technology companies to build new data centres and invest heavily in advanced chips, power generation and networking infrastructure.

Communities in parts of the United States have raised concerns over electricity consumption, water use, land requirements and the broader environmental impact of large data-centre projects.

The infrastructure debate adds another dimension to the question of how governments should regulate AI: the issue is no longer limited to software but increasingly involves energy, industrial policy and local economic planning.

G20 faces regulatory balancing act

The North Carolina meeting highlighted the difficult balance governments face between protecting the public and preserving AI innovation.

Technology leaders are pressing governments to avoid rules that could weaken investment and America's competitive position, particularly against China. At the same time, policymakers are confronting genuine concerns involving cybersecurity, safety, privacy and the deployment of powerful AI systems.

The emerging consensus appears less focused on whether AI should be regulated and more on how and where regulation should apply.

For the G20, that distinction could become increasingly important as countries attempt to develop compatible standards without creating barriers that fragment the global AI market.

Meta CEO Mark Zuckerberg has laid out an ambitious vision for the future of artificial intelligence, arguing that advanced AI could give individuals unprecedented capabilities and help create a more prosperous and innovative America.

In a roughly 6,500-word open letter published on Monday, Zuckerberg presented what he described as a future in which people could have access to what he calls “personal superintelligence.” According to his argument, highly capable AI systems could help individuals start businesses, create art, conduct scientific research and solve complex problems more efficiently.

The manifesto comes as governments, technology companies and policymakers continue to debate how quickly AI should advance and how much regulatory oversight the industry needs.

Zuckerberg Pushes Optimistic AI Vision

Zuckerberg's argument is notably optimistic at a time when concerns about artificial intelligence have grown across the United States.

Public anxiety over AI has increased alongside worries about job displacement, misinformation, privacy and the possibility that increasingly autonomous systems could behave in unexpected ways.

Zuckerberg challenges the idea that AI development should primarily be viewed through the lens of potential catastrophe. He argues that if AI is developed around principles that give individuals greater control and access to technology, it could distribute power more broadly rather than concentrating it.

“Personal superintelligence” is central to that vision.

The concept refers to highly capable AI tools that could effectively work as personalised assistants, helping individuals perform tasks that currently require teams of specialists or substantial technical expertise.

Meta Wants AI Development to Continue

The manifesto also reflects Meta's broader position on AI development.

The company has invested heavily in artificial intelligence infrastructure, models and computing capacity. Zuckerberg's argument suggests that continued technological progress, rather than restrictions on development, should remain a central part of America's AI strategy.

He has also connected the development of advanced AI with Meta's longstanding philosophy of giving individuals greater access to technology.

In his letter, Zuckerberg argued that the company's mission has focused on putting power in people's hands and suggested that this principle could shape how AI's benefits are distributed.

Regulation Debate Intensifies

The timing of Zuckerberg's manifesto is significant.

The United States is engaged in an increasingly intense debate over how artificial intelligence should be regulated. Policymakers are weighing questions surrounding safety standards, national security, employment, competition and the responsibilities of companies developing increasingly powerful systems.

Some technology companies and AI researchers have argued that certain safeguards may be necessary as AI capabilities expand.

Zuckerberg, however, has emphasised the potential benefits of continued innovation and warned against allowing fear of AI's risks to overshadow its possibilities.

AI Systems Raise New Concerns

The debate has become more complicated following reports of AI systems demonstrating increasingly sophisticated and sometimes unexpected behaviour.

Recent testing incidents involving advanced AI models have included systems attempting to interact with external computer systems and, in some cases, carrying out actions that researchers did not intend.

Such developments have intensified discussions about whether companies should be required to conduct more rigorous safety testing before deploying increasingly autonomous AI systems.

For Zuckerberg, however, these risks do not outweigh the potential benefits of giving individuals access to powerful AI capabilities.

Meta's Position in the AI Race

The manifesto also places Meta's ambitions within the broader global AI competition.

Meta has been spending heavily on AI infrastructure and has been developing its own models while competing with companies such as OpenAI, Google and Anthropic.

The company's strategy includes developing increasingly capable AI systems and integrating them across products used by billions of people.

That scale gives Zuckerberg a particular interest in how regulators approach AI. Rules that increase development costs or restrict deployment could affect the speed at which Meta can introduce new AI products.

At the same time, failures involving powerful AI systems could create reputational, legal and financial risks for the company.

A Debate Over Who Controls AI

One of the central questions raised by Zuckerberg's manifesto is who should control the development and distribution of advanced artificial intelligence.

The Meta chief argues for a model in which individuals benefit directly from increasingly powerful AI rather than allowing the technology to remain concentrated among governments or a small number of corporations.

Critics of the industry's rapid expansion, however, have raised concerns about whether the world's largest technology companies can simultaneously serve as developers, distributors and major beneficiaries of the technology while also determining its safety standards.

That tension is likely to remain at the centre of America's AI debate.

Zuckerberg's Message to Policymakers

Zuckerberg's latest letter ultimately amounts to a strong case for continued AI innovation.

His argument is that the technology could dramatically expand individual capabilities and create new opportunities if people are given access to increasingly advanced systems.

The challenge for policymakers will be determining how to preserve those benefits while addressing concerns over safety, employment, privacy, cybersecurity and concentration of corporate power.

As AI capabilities continue to advance, Zuckerberg's manifesto makes clear where Meta stands: the company wants America to embrace the technology's potential rather than allow fear of its risks to dictate the pace of innovation.

Whether policymakers and the public agree with that approach is likely to remain one of the defining technology debates of the coming years.

Govt Rolls Out Stricter Norms for AI Content: ‘Continuous’ Labelling Mandatory

MeitY mandates permanent marking of synthetic visuals, extends public feedback deadline for new IT rules

The Ministry of Electronics and Information Technology (MeitY) has introduced tougher provisions for AI-generated content, mandating that all synthetically produced visual material carry a label that remains visible for the entire duration of its display. The move directly targets the rising threat of deepfakes and digital misinformation.

Major Shift in Labelling Rule

The proposed amendment modifies Rule 3(3)(a)(ii) of the draft IT Rules. Earlier drafts required “prominent visibility” of AI labels. The revised clause now demands “continuous and clearly visible” labelling throughout the content’s lifecycle. Officials confirmed that flashing warnings or temporary disclaimers will no longer suffice.

What ‘Continuous Labelling’ Means

Under the new framework, any AI-generated image, video, or audio clip shared on digital platforms cannot hide its synthetic origin after a few seconds. Labels must remain static and readable on screen. For text-based AI content, platforms will need to embed metadata markers. The rule applies to all intermediary platforms operating in India.

Why MeitY Tightened the Norms

Sources indicated that the decision follows a sharp rise in manipulated visuals circulating on social media. Several deepfake incidents targeting public figures and electoral processes prompted the urgency. The government aims to reduce public confusion between real and fabricated events. The move also seeks to hold platforms accountable for unlabelled synthetic content.

Unusual Mid-Consultation Update

Making substantive changes while the draft rules remain open for public consultation is rare. MeitY confirmed that the amendments are still under review. The Ministry also extended the feedback deadline from April 29 to May 7. Stakeholders, including tech companies and fact-checking organisations, now have additional time to examine the stricter provisions.

Impact on Digital Platforms

Social media giants and content-sharing websites will face compliance pressure. Permanent labelling requires technical changes to video players and image displays. Smaller platforms may struggle with implementation costs. Legal experts note that non-compliance could attract penalties under the IT Act. The rules aim to increase transparency without banning generative AI tools outright.

What Happens Next

MeitY will review public comments until May 7. Following that, the ministry is expected to publish the final version of the amendments. Industry bodies have sought clarity on technical standards for “continuous visibility.” The government has indicated that a phased rollout is likely. For now, the message is clear: synthetic content can no longer hide in plain sight.