Nvidia CEO Jensen Huang has challenged warnings from leading artificial intelligence companies that the technology requires additional government oversight, saying that calls for new regulation are being presented in a misleading way and could ultimately weaken the rules already on the books.

In an interview with CBS News aired on Sunday, Huang said AI executives calling for greater government intervention were not necessarily seeking stronger safeguards.

“Go and read between the lines,” Huang said, referring to AI leaders calling for government regulation. “They’re actually not asking for more laws. They’re asking to be relieved of the laws we do have.”

“They must be doing it for ulterior reasons,” he added.

Huang said he did not know precisely what those reasons were, but noted that frightening the public about the potential dangers of AI was “irresponsible” and “unnecessary.”

His comments place one of the most influential figures in the AI industry on the opposite side of a prominent debate over how governments should respond to rapidly advancing models and autonomous AI systems.

Huang has repeatedly warned that slowing development in the United States could allow China to gain ground in the global AI competition. He reiterated that position in the CBS interview, noting that American AI companies do not need government intervention to coordinate a slowdown in development.

“We don’t need more regulations,” Huang said. “We need to apply the current regulations we have.”

Huang Challenges Calls for A Slowdown

Huang’s remarks came days after Anthropic CEO Dario Amodei called for a coordinated slowdown in the development of frontier AI systems until stronger safeguards can be established.

In a September 12 essay titled “We Must Pace the Frontier,” Amodei argued that AI capabilities were advancing rapidly enough to create risks that could eventually exceed the ability of humans to control the systems they develop.

His proposed framework included measures aimed at strengthening safeguards around frontier models and called for government involvement, including regulation of leading AI laboratories on antitrust grounds.

Amodei’s essay received support from OpenAI CEO Sam Altman and SpaceX CEO Elon Musk, putting some of the industry’s most prominent executives behind a more interventionist approach to AI governance.

The disagreement is not simply about whether AI can pose risks; it centers on how those risks should be managed and whether government regulation would improve safety without unnecessarily restricting technological development.

Huang’s position is that existing laws should be enforced rather than creating a new regulatory framework. Amodei, by contrast, has argued that the pace and scale of frontier AI development warrant additional measures to keep the technology under human control.

The difference is becoming more significant as AI systems move beyond conventional chatbots into software development, computer use, autonomous agents, and other tasks that allow models to act with less direct human intervention.

Trump Administration Aligns With Huang

Huang’s position also aligns with recent comments from President Donald Trump and senior officials in his administration.

Trump said on Saturday that new regulations were not necessary to ensure the safety of AI and argued that government should avoid restricting the industry’s growth.

“We will not in any way hinder or stifle the Growth of this incredible Industry,” Trump said on Truth Social.

Michael Kratsios, director of the White House Office of Science and Technology Policy, similarly rejected the idea that technology companies require additional government intervention to make their AI systems safe.

In an interview with Fox News on Sunday, Kratsios said AI laboratories could simply stop developing products if they believed those products were dangerous.

Huang has increasingly emerged alongside Trump and presidential adviser David Sacks as a prominent voice against expanding AI regulation. The debate comes as governments face pressure to establish rules around increasingly capable AI systems while companies are investing heavily in the infrastructure needed to develop them.

The issue is a matter of concern for Nvidia because Huang’s company supplies many of the advanced chips used to train and operate frontier AI models. Nvidia has become one of the central beneficiaries of the surge in AI infrastructure spending, making the pace of model development closely connected to demand for its computing hardware.

Huang’s warning about the consequences of slowing US AI development therefore reflects a broader industry concern that tighter restrictions could affect not only software companies but also the infrastructure ecosystem supporting the technology. At the same time, Amodei’s argument indicates the opposing concern: that competition between AI companies could encourage laboratories to prioritize faster capability gains even when the risks associated with increasingly autonomous systems remain unresolved.

That tension is likely to persist as the industry moves into a phase in which AI models are expected to perform complex tasks with greater independence.

For years, the African continent has found itself caught in a high-stakes cultural paradox. Its rhythms dominate global streaming charts, its football stars anchor Europe’s elite clubs, and its cinematic stories captivate international audiences. Yet, beneath this global explosion of soft power lies a quiet infrastructure crisis. When we zoom out and connect the pieces of this media landscape from the demise of traditional music blogs to the volatile geopolitics of football broadcasting, a single, urgent reality emerges – Africa is “screaming for streaming,” but the digital rails it relies on are almost entirely owned by someone else.

The story begins with a celebrated economic triumph. Sub-Saharan Africa famously bypassed legacy copper landlines, ‘leapfrogging’ directly into a mobile-first digital era. However, this foundational infrastructure was heavily financed by foreign telecommunications giants and external capital. The continent built world-class connectivity networks but bypassed the construction of domestic data storage, local cloud hosting, and indigenous distribution engines.

Consequently, when the creative industry experienced its massive renaissance, it found itself running on foreign tracks. The network data belonged to local telcos, the media delivery belonged to global tech monopolies, and the actual creative engines – musicians, filmmakers, and athletes – were left squeezed in the middle.

 Entertainment: Sacrificing Content on the Altar of Streaming

In the early 2010s, Africa’s music ecosystem thrived on a highly decentralized, homegrown architecture, the “music blog era.” Native platforms like Notjustok and Tooxclusive acted as digital gatekeepers, cultivating local subgenres, distributing Mp3 files, and keeping cultural equity within regional borders. But as global tech shifted toward centralized, algorithm-driven consumption, the blog era collapsed. African music migrated en masse to international streaming giants like Spotify and Apple Music.

While this granted artists unprecedented global scale, it introduced a brutal economic dilution. Indigenous platforms like Mdundo, Spinlet, and uduX emerged to offer localized, tailored solutions, but they lacked the massive capital reserves required to fight algorithmic monopolies. The cultural assets were successfully digitized, but the financial returns were heavily exported, forcing local artists into distribution pipelines where their monetization was dictated by Western metrics.

Sports Broadcasting: Changing the Narrative Without a Story

This exact structural bottleneck operates with even more devastating consequences in the sports sector. The continent possesses an unyielding passion for sports accounting for around 20% of the English Premier League’s global television audience, yet it yields less than 5% of global media rights value and under 1% of global streaming subscriptions. The immense economic value generated by African eyes is captured and monetized externally.

When African sporting bodies, such as the Confederation of African Football (CAF), attempt to claim self-determination by severing ties with foreign media syndicates over rights disputes, they walk straight into a digital void. Because the continent lacks a robust, indigenous over-the-top (OTT) digital streaming infrastructure capable of broadcasting premium live sports at scale, these disputes result in immediate media blackouts.

The industry is left trapped in a rigid duopoly – dependent on international buyers, or surrendered to the sole regional pay-TV monopoly, MultiChoice (SuperSport). The recent consolidation of the market, marked by the French media empire Canal+ executing a multi-billion-dollar acquisition of MultiChoice, underscores this vulnerability. Even Africa’s largest domestic distribution engine has been absorbed under foreign corporate control, moving the narrative sovereignty of African sports further away from the continent.

The Way Forward: Reclaiming Digital Agency

The structural challenges facing African sports and entertainment are not issues of talent, passion, or content quality – they are issues of institutional and digital agency. To stop “changing the narrative without a story,” the African creative and sports ecosystem must aggressively pivot toward digital self-ownership.

This requires moving away from the endless chase for multi-billion-dollar foreign television contracts and focusing heavily on building cloud-based, localized streaming hubs. By aggregating local tournaments, independent cinema, and regional audio into unified, native digital networks, the rights, user data, and advertising revenues can finally remain where they belong – inside the continent’s economic borders.

Until Africa owns the digital rails upon which its culture travels, it will continue to stream its value away to the rest of the world.

Anthropic is considering launching a new artificial intelligence model to counter OpenAI’s growing momentum following the release of GPT-6 Astra, three people familiar with the company’s plans told Reuters, as the AI developer prepares for a potential initial public offering and weighs how aggressively to spend on new products.

The deliberations come at an awkward moment for Anthropic. Chief Executive Dario Amodei has called for the AI industry to slow the release of sophisticated models because of concerns about safety, while the company is now considering whether competitive pressure from OpenAI requires it to accelerate its own model development.

“We must slow the pace at which we improve the capabilities of AI models,” Amodei wrote in a 3,800-word essay on September 12.

His essay warned of a future in which large numbers of AI agents could operate across the internet and potentially outpace human control. The call for a slowdown received support from OpenAI CEO Sam Altman and SpaceX CEO Elon Musk.

Yet OpenAI’s GPT-6 Astra, released on September 3, has gained traction among businesses, raising questions among some investors about whether Anthropic can maintain its position as a leading provider of enterprise AI tools.

Anthropic is evaluating the safety of its next model as part of its deliberations over whether to release it, one person familiar with the matter said.

The company is also weighing the financial implications of another major model launch. People familiar with Anthropic’s thinking said some internal discussions are focused on balancing investment in new models with efforts to improve profitability, as higher interest rates make investors increasingly focused on when AI companies can convert rapid revenue growth into sustainable profits.

The debate shows the competing pressures facing the companies at the center of the AI boom. They must continue investing heavily to keep pace with rapidly advancing models, while investors are demanding clearer paths to cash generation. At the same time, competition from open-source and open-weight models, particularly those developed in China, is giving businesses alternatives to the leading commercial AI providers.

GPT-6 Astra Changes The Enterprise Race

OpenAI released GPT-6 Astra this month with improvements in computer use, software engineering, cybersecurity, and professional tasks. Its reception among enterprise customers and developers has prompted some potential Anthropic IPO investors to reconsider the balance between the two companies.

Anthropic has been viewed for months as the leader in enterprise AI, helped by demand for its Claude models among large businesses. But early spending data suggests that OpenAI is beginning to make inroads.

GPT-6 Astra represented about 13% of enterprise AI spending tracked by corporate expense platform Ramp, compared with roughly 8% for Anthropic’s Claude Fable, according to the latest data.

OpenAI has also moved ahead of Anthropic on OpenRouter, a widely used platform that routes developer traffic among different AI models. OpenRouter said users spent more on OpenAI models than Anthropic models last week, marking the first time OpenAI had led on that measure in more than two and a half years.

The figures do not necessarily establish a lasting shift in enterprise market share. Some investors who already hold Anthropic shares, as well as those considering investments in both companies’ potential IPOs, said they do not view Astra as an immediate threat to Anthropic because of the size of Anthropic’s existing enterprise business and the lengthy process involved in replacing AI vendors embedded in large companies.

Anthropic’s annualized revenue run rate exceeded $65 billion by the end of July, compared with about $9 billion at the end of 2025. Reuters has previously reported that the company is projecting revenue of roughly $190 billion to $200 billion in 2028.

OpenAI’s annualized revenue run rate surpassed $40 billion in July.

The numbers highlight the unusual economics of the AI market. OpenAI is gaining ground on some usage measures, while Anthropic continues to report a larger annualized revenue run rate. Investors also expect leadership among Anthropic, OpenAI, Alphabet’s Google and other major AI developers to change repeatedly as new generations of models are released.

That makes any lead potentially temporary.

Open-Source Models Create A Broader Threat

The competitive challenge may ultimately extend well beyond OpenAI. Investors say the expansion of open-source and open-weight AI models could put greater pressure on the business models of leading commercial providers. Companies can use these models to reduce token costs and develop more of their own AI infrastructure instead of relying entirely on providers such as Anthropic and OpenAI.

That could make the economics of frontier AI more difficult even as overall adoption accelerates. The leading commercial providers are spending heavily on computing capacity, model training and research, while customers increasingly have alternatives that allow them to keep more of the AI stack in-house.

Meta Platforms has been one of Anthropic’s largest customers but is seeking to reduce its reliance on Anthropic’s models as it develops more AI capabilities internally, according to people familiar with the matter.

Therefore, the challenge is becoming two-dimensional for Anthropic. OpenAI is competing directly for enterprise customers with more capable commercial models, while open-weight alternatives could pressure pricing and encourage customers to build more of their own systems.

The tension is growing as Anthropic considers going public. OpenAI has eased some of the immediate pressure on the IPO race. Altman said on Saturday that OpenAI would not go public in 2026, citing AI safety concerns and saying it was not an appropriate time for a listing.

Anthropic, meanwhile, could delay its IPO until after the November US midterm elections, according to two people familiar with the matter. The offering has already been pushed back from earlier plans, with Reuters previously reporting that marketing could begin no earlier than mid-October.

A new model launch before an IPO would give investors another data point for judging Anthropic’s ability to defend its enterprise position, but it would also raise questions about spending and the company’s commitment to Amodei’s call for a slower pace of AI development.

Paramount and 12 US states challenging its $110 billion acquisition of Warner Bros. Discovery could reach a settlement as soon as this weekend, with independent monitoring of CNN’s content and commitments on theatrical film releases among the terms under discussion, according to people familiar with the talks cited by Reuters.

The negotiations could remove a major legal obstacle to Paramount’s plan to combine two of Hollywood’s biggest media companies. Paramount shares rose nearly 7% in after-hours trading following the report, while Warner Bros. Discovery gained 8.4%.

The case was brought by California and 11 other states, which sued in July to block the transaction on antitrust grounds. The states argue that combining the companies would create a media company with greater power to raise prices for movies and television content.

The California Department of Justice declined to confirm whether settlement talks were taking place.

“We cannot confirm or deny whether settlement talks are occurring or their alleged substance,” a spokesperson said.

The potential agreement comes as Paramount faces a growing financial incentive to close the transaction. Under the merger agreement, the company must pay Warner Bros. shareholders a $7 million daily “ticking fee” for each day after September 30 until the deal closes. Paramount has argued that delays could result in hundreds of millions of dollars in additional costs.

CNN Becomes A Central Issue

The possible inclusion of independent monitoring for CNN highlights one of the more politically sensitive aspects of the proposed combination. The deal would bring CNN under the same corporate ownership as Paramount’s CBS News, alongside major entertainment assets including HBO, the “Harry Potter” franchise, “The Daily Show” and rights to NFL football games.

Lawmakers have previously questioned Paramount CEO David Ellison’s management of CBS News, including allegations that the network’s coverage was tailored to favor President Donald Trump. Those concerns have contributed to scrutiny over how CNN might be managed following a takeover.

The proposed independent monitoring arrangement would address concerns about editorial control, although the precise structure and powers of any monitor have not been disclosed.

Paramount has positioned the acquisition as a way to consolidate two major Hollywood studios and build a larger competitor to Netflix and Disney. The company would gain a much broader collection of film, television, and streaming assets through the combination.

The states, however, have focused on the potential impact of the merger on competition. California Attorney General Rob Bonta has said structural remedies, such as selling parts of a business, are more effective in protecting competition than commitments requiring a company to follow certain practices after a merger.

That distinction could become important in determining the final terms of any settlement. Behavioral commitments can allow a transaction to proceed while requiring the combined company to maintain certain practices, whereas structural remedies would reduce the assets or businesses controlled by the merged company.

Paramount Faces Pressure to Keep Movie Output High

Another potential settlement condition concerns theatrical releases. Ellison has previously pledged that the combined film studios would release 30 movies a year. The states are discussing a commitment on the number of theatrical releases as part of a potential settlement, according to the sources.

The issue matters because a larger Paramount-Warner Bros. company would control a substantial collection of Hollywood film assets. A commitment to maintain theatrical output could be intended to address concerns that consolidation might reduce the number of films reaching cinemas.

The Writers Guild of America has separately sued to challenge the transaction, arguing that the combination could reduce compensation and worsen working conditions for film and television writers. It was not immediately clear whether the union was participating in settlement discussions with Paramount and the states.

The deal has already cleared several federal regulatory hurdles. The Justice Department approved the transaction, while the Federal Communications Commission on Thursday approved Paramount’s request to allow foreign investors to hold substantial equity in the combined company, subject to restrictions on voting rights and influence over management and content decisions.

The FCC’s decision allows individual foreign investors to hold up to 20% of the equity and waives the usual 25% aggregate foreign ownership limit, while prohibiting foreign investors from holding voting stock or exercising control over Paramount’s content decisions or management.

The state lawsuit remains a separate obstacle. A federal judge has temporarily blocked the takeover pending a trial scheduled for March.

For Paramount, the timing of the settlement discussions has gained great interest because the company faces both the daily ticking fee and the broader costs of keeping the transaction alive while litigation continues. Paramount previously sought a $1.88 billion bond from the states to cover potential losses associated with delays if the court ultimately allows the merger to proceed.

A settlement is expected to address more than the immediate antitrust dispute. It could establish conditions under which Paramount proceeds with the acquisition while attempting to address concerns over competition, theatrical distribution and editorial independence at CNN.

For now, however, the discussions remain confidential, and no settlement has been announced. The terms under consideration show the breadth of the issues surrounding the proposed $110 billion combination, from Hollywood’s theatrical business to the future editorial independence of one of America’s major cable news networks.