SEC warns AI won't cut disclosure verification burden

Joshua White, Chief Economist and Director of the SEC Division of Economic and Risk Analysis, told attendees at the ICI Compliance, Risk, and Legal Conference in Nashville, Tennessee on September 17, 2026 that artificial intelligence will not reduce the fundamental obligation to verify financial disclosures SEC.

The Verification Gap

White's remarks underscored a critical distinction in the SEC's emerging stance on AI-driven disclosure: cost reduction is not the same as credibility assurance. "AI can make disclosures much cheaper to process. But it does not make the underlying information free to produce, verify, or stand behind," White said SEC.

The statement signals that regulators view AI as a tool for efficiency in *handling* disclosures—parsing documents, formatting filings, automating routine compliance tasks—while maintaining that the quality and truthfulness of the information itself cannot be automated or outsourced to machines. This distinction matters to both public companies and their auditors, who remain legally accountable for the accuracy of material facts disclosed to investors.

Materiality and Credibility as Anchors

White framed the SEC's disclosure philosophy as one grounded in two enduring principles: materiality and credibility. "The goal should remain a disclosure system grounded in materiality and credibility, reinforced by strong verification practices that ensure investors receive high-quality information they can trust," he said SEC.

The emphasis on "strong verification practices" reflects heightened SEC focus on how companies—and their AI systems—validate factual claims before filing. As AI agents increasingly handle document review, data extraction, and filing preparation, the agency's message is clear: automation cannot replace human judgment or legal accountability.

Implications for Disclosure Practices

The timing of White's remarks at a compliance-focused conference suggests the SEC is preemptively addressing a common misconception among market participants: that deploying AI to handle disclosure workflows reduces compliance risk. Instead, the agency is reinforcing that companies deploying AI in disclosure processes must maintain—or strengthen—their verification controls.

For issuers relying on AI to process large volumes of disclosure data, this means documenting how AI outputs are validated, who is responsible for factual accuracy, and what human review steps occur before filing. The SEC's position effectively places the burden of verification back on the company, not on the technology provider or the algorithm.

White's speech, delivered as the SEC continues to sharpen its enforcement posture under Chair Atkins, signals that AI-assisted misstatements or unverified claims will receive the same scrutiny as manually prepared false disclosures.