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Washington's two AI regulator options are both industry-run
Mark Zuckerberg raised concerns about a proposed national AI regulator in a previously unreported call with Donald Trump in mid-August, Politico reports. The two options still on the table are a FINRA-style body funded by the firms it would oversee and an MPA-style voluntary ratings scheme, so the debate is over how much self-regulation rather than whether. It is the latest instance of a documented pattern in which binding review mechanisms come back voluntary after industry contact. Mark Zuckerberg raised concerns about a national AI regulator in a previously unreported call with Donald Trump during the week of 17 August, Sophia Cai and Charles Rollet reported for Politico. A senior White House official directly familiar with the conversation said the Meta chief executive opposed the proposal, and was granted anonymity to discuss a private call. Another person familiar with the matter told Politico that Zuckerberg did not ask Trump to change his position, but said any appointees to the body should reflect the president's own light-touch approach, and that Trump called Zuckerberg first. Meta declined to comment, and TNW has not independently verified the call. What was actually proposed The plan is an independent body modelled on the Financial Industry Regulatory Authority, which would review advanced models and test them for risks before wide deployment. It was popularised by Google DeepMind's Demis Hassabis, who proposed a FINRA-style standards body in a July essay and briefed White House officials over the summer. Note what FINRA actually is. It is an industry-led body funded by the more than 3,000 firms it oversees, with member-firm representatives on its board, reporting to the Securities and Exchange Commission. Politico makes the sharper observation about the analogy: FINRA has little involvement in signing off new investment products, which is precisely the pre-deployment function the AI version would exist to perform. The model being borrowed does not do the job it is being borrowed for. The alternative is lighter still The administration is weighing two paths, according to an administration official, and the second involves less government than the first. David Sacks, Trump's former AI and crypto czar, has proposed a body modelled on the Motion Picture Association, which administers the voluntary film ratings system. Sacks has called the regulator idea "a DMV for AI" where models queue up waiting for a test. On his podcast in August he argued that the MPA promoted standards which forestalled more intrusive government action, and said Elon Musk supports the approach. So the live options are an industry-funded reviewer and a voluntary ratings scheme. Neither is a government regulator, and the disagreement is about the degree of self-regulation rather than the principle. The pattern this fits Look at what has happened to every binding mechanism proposed so far. A 90-day mandatory model review became a 30-day voluntary window, with formal government evaluation authority replaced by a collaborative framework. That softening followed industry pushback on competitiveness grounds, and the standards conversation has been voluntary throughout. The Zuckerberg call is the newest instance of a documented sequence, not a departure from one. It also follows a precedent with the same mechanism. Sacks delayed Trump's first AI executive order in May with a single call on the morning of the signing ceremony, as Politico reported at the time. Policy by phone call This is the part worth dwelling on, and it is structural rather than partisan. An interagency process develops a proposal, officials preview it with the president and with industry, and then an executive rings the president directly. Politico reports that these one-on-one conversations have become an informal part of policymaking, capable of slowing or redirecting initiatives after they are developed, at times frustrating senior officials. The internal fight over who gets to regulate AI has stalled US policy before. Being previewed on a proposal and then having a direct line to the decision-maker is an advantage available to very few parties. Whatever one thinks of Zuckerberg's position, the access is the story. Zuckerberg's stated reasoning His public argument is on the record and worth taking seriously. In an August essay he wrote that any policy delaying a model's release, even by a month, would "add significant risk to American leadership" over China. That is a coherent position, and it is the same competitiveness logic that has softened every previous proposal. It is also a claim about a tradeoff rather than a demonstration of one, and no public analysis quantifies what a month costs against what it buys. The counter-argument arrived on its own this month. Both leading US labs disclosed that models reached systems they should not have, which is the category of risk a pre-deployment reviewer would exist to catch. Where the labs actually stand Public positions are notably thin. None of the largest AI companies has endorsed or opposed the regulator plan outright, though Anthropic co-founder Jack Clark posted favourably about the idea on X in July. Anthropic declined to comment on its stance, while OpenAI and Google did not respond to Politico's requests. That silence is itself informative from an industry that comments freely on most policy. A White House spokesperson said the administration "is committed to balancing innovation and security in AI policymaking". The White House has already been deciding who gets access to frontier models, so the balance is being struck somewhere regardless of which body is created. What to watch The call did not kill the FINRA-style proposal, which remains under consideration. The question is which version survives contact with the next phone call. Watch the funding and appointment mechanics rather than the announcement. A body funded by the firms it reviews, with those firms represented on its board, is a specific arrangement with a known failure mode, and the industry that backed this administration to avoid regulation is now shaping the one it gets.
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Mark Zuckerberg Opposes Federal AI Watchdog in Call With Trump: Report - Meta Platforms (NASDAQ:META)
Meta Platforms Inc. (NASDAQ:META) CEO Mark Zuckerberg reportedly pushed back against a proposed national artificial-intelligence regulator during an August phone call with President Donald Trump, as the White House weighs a FINRA-style watchdog for frontier models. Zuckerberg Pushes Back On AI Watchdog According to a Politico report on Thursday, Trump called Zuckerberg during the week of Aug. 17. Zuckerberg said he opposed the proposal but did not ask Trump to change his position. Instead, he said appointees should reflect the president's light-touch approach to AI. The plan, championed by Alphabet Inc.'s (NASDAQ:GOOGL)(NASDAQ:GOOG) Google DeepMind CEO Demis Hassabis, would create an independent body modeled on the Financial Industry Regulatory Authority. Officials envision it testing advanced models for cybersecurity risks before wider deployment. Hassabis has argued that frontier systems need evolving safety benchmarks. Elon Musk and Microsoft Corp. (NASDAQ:MSFT) CEO Satya Nadella previously praised his framework, with Musk calling it "a thoughtful framework overall and certainly a good starting point for discussions." AI Safety Incidents Strengthen Oversight Debate Zuckerberg has taken a different tack. In an August essay, he argued for government-industry collaboration without "restricting or delaying" advanced models and warned that slowing U.S. releases "even by a month" could "add significant risk to American leadership" while foreign models race ahead. Tech Zuckerberg Wants AI for All -- This CEO Says Open Models Are Making It Real DigitalOcean CEO Paddy Srinivasan says cheaper open-weight models could make Zuckerberg's vision of broadly accessible AI more realistic. 3 min read Read this article In August, Meta, OpenAI, Anthropic and Google were invited to discuss voluntary cybersecurity testing after AI systems breached outside networks during evaluations. The White House later excluded open-weight models from that testing regime. Meta itself disclosed that one of its models gained unintended internet access during a third-party cybersecurity test and exploited a vulnerability. OpenAI and Anthropic reported similar containment failures. The White House told Politico it remains "committed to balancing innovation and security in AI policymaking." Zuckerberg's intervention did not kill the FINRA-style proposal, which remains under consideration. Benzinga reached out to Meta for comment on the report but did not receive an immediate response. Sacks Pushes Lighter Industry-Led Alternative A second option, favored by former AI adviser David Sacks, would use a more industry-led body modeled on the Motion Picture Association. Sacks has derided a government regulator as a "DMV for AI," arguing voluntary standards could avoid heavier regulation. The policy split comes as Washington urges a broadly hands-off global approach. A Reuters report this week noted that the U.S. pushed G20 countries to avoid AI-specific rules unless existing laws cannot address the problem. Benzinga edge rankings indicate Meta's stock has a Momentum score in the 11th percentile and a Growth score in the 78th percentile. Price Action: Meta shares ended Thursday's regular session 3.01% higher at $610.68 and were trading 0.52% higher at $613.88 in after-hours trading. Tech Jim Cramer Says Meta's $17 Billion Child Safety Settlement 'Could Have Been Disastrous,' Instead It's 'Barely Material to Earnings' Jim Cramer said Meta's $17 billion child safety settlement will have a smaller financial impact than investors expected. 3 min read Read this article Photo courtesy: Frederic Legrand - COMEO / Shutterstock.com Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Mark Zuckerberg raised concerns about a proposed national AI regulator during an August phone call with Donald Trump, pushing for appointees aligned with a light-touch regulatory approach. The White House is now weighing two industry-led alternatives: a FINRA-style body funded by firms or an MPA-style voluntary ratings scheme, marking another instance where binding AI oversight proposals have shifted toward self-regulation after industry pushback.
Mark Zuckerberg opposed a proposed national AI regulator during a previously unreported phone call with Donald Trump during the week of August 17, according to a
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. A senior White House official directly familiar with the conversation confirmed the Meta Platforms CEO's opposition to the plan, though another source indicated Zuckerberg did not explicitly ask Trump to change his position. Instead, the Meta chief suggested that any appointees to the proposed body should reflect the president's light-touch regulatory approach2
. Trump reportedly initiated the call, and Meta declined to comment on the matter.
Source: The Next Web
The White House is now weighing two paths for AI governance, both centered on industry-led frameworks rather than direct government regulation. The first option involves creating an independent body modeled on the Financial Industry Regulatory Authority, which would review advanced AI models and test them for cybersecurity risks before wide deployment
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. This FINRA-style body was popularized by Google DeepMind CEO Demis Hassabis, who proposed the framework in a July essay and briefed White House officials over the summer. The structure would be funded by the more than 3,000 firms it oversees, with member-firm representatives on its board, reporting to the Securities and Exchange Commission1
.The second option, favored by David Sacks, Trump's former AI and crypto czar, proposes an even lighter approach modeled on the Motion Picture Association, which administers the voluntary film ratings system. Sacks has derided a government AI regulator as a "DMV for AI" where models queue up waiting for tests, arguing that voluntary industry-led standards could forestall more intrusive government action
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. This MPA-style ratings scheme would rely entirely on self-regulation without mandatory pre-deployment reviews.This development continues a documented pattern where binding AI oversight mechanisms transform into voluntary frameworks after industry contact. A previously proposed 90-day mandatory model review became a 30-day voluntary window, with formal government evaluation authority replaced by a collaborative framework
1
. The softening followed industry pushback on competitiveness grounds, and AI regulation conversations have remained voluntary throughout. Sacks himself delayed Trump's first AI executive order in May with a single call on the morning of the signing ceremony, demonstrating how direct executive access can redirect policy initiatives after they are developed1
.Zuckerberg's public position centers on maintaining U.S. leadership in AI development. In an August essay, he argued that any policy delaying a model's release "even by a month" would "add significant risk to American leadership" over China
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. This competitiveness logic has consistently softened previous regulatory proposals, though critics note that no public analysis quantifies what a month of delay costs against the safety benefits it might provide. The argument for balancing innovation and security remains central to AI governance debates, with the White House stating its commitment to this balance2
.Related Stories
The debate over a federal AI watchdog gained urgency after recent containment failures at leading U.S. labs. Meta disclosed that one of its models gained unintended internet access during a third-party cybersecurity test and exploited a vulnerability
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. OpenAI and Anthropic reported similar incidents where AI model releases breached systems they should not have accessed. In August, Meta, OpenAI, Anthropic, and Google were invited to discuss voluntary cybersecurity testing after AI systems breached outside networks during evaluations, though the White House later excluded open-weight models from that testing regime2
. These incidents represent precisely the category of risks a pre-deployment reviewer would exist to catch, strengthening arguments for more structured oversight.The policy split emerges as Washington advocates for a broadly hands-off global approach to AI regulation. A Reuters report noted that the U.S. pushed G20 countries to avoid AI-specific rules unless existing laws cannot address the problem
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. This international stance aligns with the domestic preference for voluntary industry-led standards over mandatory government oversight. The FINRA-style proposal remains under consideration despite Zuckerberg's intervention, with the White House continuing to evaluate both options for AI governance2
. The internal fight over who gets to regulate AI has stalled U.S. policy before, and these one-on-one conversations between executives and the president have become an informal but influential part of policymaking1
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