Could Anthropic Become the World's Only Private Company? CEO Amodei Personally Responds at 4 AM

As debate intensifies over regulatory policies in the artificial intelligence (AI) industry, a public exchange sparked by market rumors has unexpectedly refocused attention on the core question: Is AI regulation truly about reducing risks, or is it reinforcing the dominance of large corporations?

Recently, a clip from the prominent Silicon Valley podcast 'All-In' surfaced, in which investor Gavin Baker stated he had heard from multiple credible sources that Anthropic CEO Dario Amodei had privately suggested that Anthropic might one day become the only remaining private company in the world—leaving only Anthropic and national governments.

David Sacks on the show called the idea overly arrogant and potentially a negative signal, while Jason Calacanis jokingly questioned whether delivery drivers and taxi drivers would still exist even under such a scenario.

The remarks quickly spread across the internet.

Sholto Douglas, a researcher at Anthropic, promptly responded on social media platform X, outright denying the claim as "completely false" and "a lie."

Douglas stated that while he found some of Baker's viewpoints worth considering, whoever provided the information to Baker was lying, and that the narrative served a story certain individuals wanted others to believe.

Baker accepted Anthropic's denial but later published a long-form post shifting the discussion from "Did Amodei actually say this?" to deeper regulatory controversies.

He argued that many people were willing to believe the rumor because it loosely aligned with Amodei's past public statements about AI risks and regulation.

His concern lies in the apparent contradiction: while Anthropic consistently emphasizes the enormous risks posed by AI and advocates for stricter AI regulations, those same regulations, if continually strengthened, could raise the barriers to entry for startups.

Under such conditions, the number of large AI firms capable of bearing regulatory costs might shrink, inadvertently giving established giants a stronger competitive edge.

Thus, the controversy expanded beyond mere truthfulness of a personal statement into one of the most critical policy debates in the AI industry today: Should AI be subject to centralized regulation to reduce risk, or should we avoid letting regulation become a tool for large companies to eliminate competition?

In response to these criticisms, Amodei himself took to X at 4 AM to publish two lengthy posts clarifying his position.

Amodei first argued that Baker's framing of AI policy as a binary choice between "regulation equals centralization" and "no regulation equals safety and competition" is a flawed dichotomy.

He stated that proper institutional design can simultaneously constrain large corporations, reduce AI risks, and protect smaller teams—meaning market concentration and decentralization are not mutually exclusive choices.

Amodei then presented specific data to counter the argument that regulation primarily harms small developers.

He pointed out that the legislation supported by Anthropic exempts developers with annual revenues below $500 million. For example, California's SB 53 sets the threshold at $500 million in annual revenue; companies below that level, open-source projects, and individual developers are not subject to these regulations.

By contrast, Anthropic's Q2 revenue already exceeded $11.5 billion, far surpassing the threshold.

In other words, Amodei contends that these policies do not target small AI operators but instead place regulatory burdens squarely on large entities like Anthropic.

Amodei further elevated the discussion to the issue of trust between the AI industry and society.

He believes the current backlash and skepticism toward AI fundamentally represent a "crisis of trust." The general public, he argues, does not fully trust corporations, nor does it completely trust governments or the tech industry.

In his view, the problem isn't merely whether AI companies claim they're reducing risks—it's that society has already accumulated significant distrust toward both corporations and governments.

Therefore, the debate over AI regulation isn't just a technical or policy matter; it's also about how the tech industry can rebuild societal trust.

A debate that brought AI regulation back to verifiable policy details

Analysts note that while there was no clear winner in this exchange, it successfully grounded the abstract debate on AI regulation into concrete policy provisions.

Baker's core concern was whether AI regulation, while reducing risks, could simultaneously raise market entry barriers and ultimately strengthen the competitive advantage of large tech firms.

Amodei countered with specific bills and revenue thresholds, emphasizing that the relevant policies do not apply to all AI developers but rather place stricter oversight on large enterprises.

The key question this debate leaves behind is direct and pressing: Is AI regulation designed to prevent large companies from wielding excessive power—or could it unintentionally become a competitive barrier that benefits them?

And this question must ultimately be answered by examining the actual content of specific legislation and regulatory thresholds, not merely through clashes of corporate or investor positions.