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Why Some AI Founders at San Francisco Tech Week Welcomed Trump’s Self-Policing Approach

Some founders and funders at San Francisco Tech Week welcomed a hands-off approach to AI regulation as an opportunity for defense and security firms. Critics questioned whether a voluntary safety pact can ensure independent oversight or accountability.
From TheFinanceBase Team5 min to read
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At San Francisco Tech Week, some founders and funders welcomed the Trump administration’s hands-off approach to AI regulation, seeing room for companies building AI-powered defense and security products to grow. That is the picture in an Associated Press report published October 10, 2026—a report about views at a particular event, not proof that Silicon Valley as a whole supports deregulation.

What the reported voluntary safety pact asks AI companies to do

AP reports that President Donald Trump convened technology executives in Washington for a luncheon and ceremonial signing of a voluntary safety pact. The agreement, which AP describes as 308 words, asks advanced AI labs to follow safety protocols and create internal teams to monitor their own progress.

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The pact is voluntary, and AP says the administration had not explained how it would monitor implementation. The agreement’s primary text is not available in the cited reporting, so its full wording and any additional commitments cannot be independently assessed here. The distinction matters: a public signing can signal a policy preference, but it does not by itself establish what companies must disclose, what happens if they do not follow through, or whether an outside party checks their work.

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Why some founders and funders see an investment opportunity

At the Tech Week event, attendees linked a lighter regulatory approach to commercial prospects for firms developing AI-powered defense and security systems. Their argument is that fewer government constraints can leave companies more room to build and sell products in fields where government demand may be substantial. That is an investment rationale reported at the event, not evidence that a particular company will win contracts or earn a return.

PitchBook analyst Kyle Stanford described U.S. government defense spending as $1 trillion and called it an investment opportunity, according to AP. Stanford also said $13.5 billion of that would go to autonomous systems and AI. AP does not link the underlying budget or PitchBook analysis, so these figures should be read as Stanford’s attributed estimates, not independently verified appropriations or a confirmed amount available to AI firms.

For investors, the policy debate is relevant because expectations about regulation can affect perceived opportunities and risks. But a favorable regulatory climate does not settle questions such as whether a company can meet safety expectations, secure customers, or convert spending into revenue. The cited event coverage does not establish those company-level outcomes.

What critics say self-policing leaves unresolved

Critics quoted by AP question whether companies should be responsible for assessing risks created by their own products, and whether voluntary commitments can substitute for enforceable rules.

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  • Enforcement: David Robinson, a former safety-team leader at OpenAI, said, “This is no substitute for hard law, and it does give a lot of freedom to the companies.” He also warned that model generations can arrive within weeks while safety challenges remain pressing.
  • Reliability: Sarah Myers West, co-executive director of AI Now and a former Federal Trade Commission senior adviser, said, “Across the board, this self-regulatory approach has consistently done one thing, which is failed to work.” That is her assessment of industry self-regulation, not an independently established finding about this pact’s results.
  • Public accountability: Graham Steele, a former assistant secretary at the U.S. Treasury Department, asked whether private companies are the right entities to make decisions with broad social and political consequences.

After the event, Trump told reporters, “I’m seeing tremendous self-policing.” The contrast is between confidence in companies’ internal safeguards and concern that voluntary oversight may lack independent verification or consequences. AP also reports that the White House did not directly answer questions about how it would monitor the pact.

How voluntary commitments differ from enforceable requirements

The table separates what AP reports about the event pact from the general alternative critics call “hard law.” The cited accounts do not describe a specific proposed statute with detailed requirements, so they cannot establish what such a law would require in practice.

Question Reported voluntary pact Enforceable legal requirements
Who sets the safeguards? AP says advanced AI labs are asked to follow safety protocols and form internal monitoring teams. Not specified for a particular law in the cited accounts.
Who checks compliance? AP says the administration had not explained how implementation would be monitored. Not specified for a particular law in the cited accounts.
What if a company does not comply? AP’s description does not state a penalty or consequence. Not specified for a particular law in the cited accounts.
What is the potential trade-off? Supporters at Tech Week saw a hands-off approach as favorable to business opportunities; critics questioned independence and accountability. The cited accounts do not establish the effects of a specific law on innovation, safety, or investment.

How the pact fits—and does not fit—with federal AI policy

The event pact is distinct from the administration’s formal executive orders. Those orders provide context for federal policy, but they do not verify the pact’s complete terms.

Executive Order 14365: a proposed federal approach to state AI laws

A December 11, 2025 executive order directs the attorney general to establish a task force to challenge certain state AI laws, asks the Commerce Department to evaluate state laws, and calls for preparation of a proposed federal policy framework. It also identifies areas the proposed framework should not seek to preempt, including child safety, certain infrastructure issues, and state governments’ procurement and use of AI. These are directives in the order, not a settled nationwide ban on state AI laws.

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Executive Order 14409: a voluntary framework for certain frontier models

A June 2, 2026 executive order directs agencies to develop a voluntary framework with AI developers for certain covered frontier models. It contemplates secure early federal access to covered models for trusted partners, subject to stated safeguards. The order expressly says it does not authorize mandatory government licensing, preclearance, or permitting for AI development or release. This is separate from the September pact AP describes.

Executive Order 14434: a terminology directive, not safety oversight

A September 29, 2026 executive order directs executive departments and agencies, to the maximum extent permitted by law, to use “Super Intelligence” and “SI” instead of “Artificial Intelligence” and “AI” in specified non-statutory communications and documents. It changes terminology in those settings; it does not establish a safety-monitoring system.

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What readers can reasonably conclude

The reported event reveals a tension between two priorities: flexibility for companies pursuing AI and defense opportunities, and public accountability for risks that may affect people beyond the companies making the products. The pact’s voluntary character and the administration’s undisclosed monitoring plans leave its practical oversight unclear. The executive orders show separate federal policy directions, but they do not answer whether the event pact will be independently checked or produce measurable safety outcomes.

For anyone following the business implications, distinguish reported enthusiasm from evidence of actual results. The AP account supports a claim about what some Tech Week attendees said and how critics responded; it does not establish broad founder sentiment, verified defense budget figures, or the investment performance of AI companies.

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