The SEC's enforcement director says the agency is watching AI companies' disclosures
David Woodcock told Reuters that inaccurate disclosures about AI, including on valuations, will draw enforcement, and that the SEC will keep examining private-market valuations and conflicts of interest.
The US Securities and Exchange Commission is examining corporate disclosures from AI companies, its enforcement director, David Woodcock, said in an interview with Reuters published Friday, October 30. Reuters reports the comments come as investors worry about a possible AI bubble fueled by circular deals, and after a week in which Big Tech stocks sold off as companies disclosed they are burning through cash to fund AI expansion while interest rates rise. Woodcock has led the enforcement division since May.
What Woodcock said
"Our principal concern is that people are making accurate disclosures about material information so that investors know what they're getting into," Woodcock said. "Enforcement is a very necessary piece of making sure people are doing that." Where that disclosure does not happen, "then enforcement will be present," he said. He told Reuters the agency does not want to stand in the way of tech innovation, but that its job is to make sure issuers give investors the full picture on risks.
Reuters reports the SEC will keep examining private markets, with its asset management unit focused on conflicts of interest and valuations. "When people don't make accurate disclosures, whether it's about valuations or whatever, then there is a role for enforcement," Woodcock said. "I think you'll see more activity in this space." He also said AI has made scams cheaper to produce at scale, so brokers and other firms need processes to protect retail investors.
The interview describes priorities, not a new rule or a specific case. Reuters does not report any enforcement action tied to AI valuations or circular deals.
Why it matters
Large AI providers and the companies building on them are raising and spending at a pace that depends on investor confidence in their numbers. If the SEC starts testing those numbers, expect more conservative public statements about revenue, capacity and customer commitments, and possibly more caution in how vendors describe partnerships and committed spend. For a business buying AI, the practical step is to rely on what a supplier commits to in a contract, such as capacity, uptime and pricing, rather than on headline figures from earnings calls or funding announcements.