SEC’s Gensler Warns Public Companies Against Overblown AI Claims

Publicly traded companies need to avoid “AI washing” when talking to investors about their use of the technology, according to the head of the US Securities and Exchange Commission.

SEC Chair Gary Gensler said Tuesday that companies must clarify for investors what they mean when referring to artificial intelligence. Corporations need to be specific about how they’re using it, risks to operations, and decide if executives’ comments regarding the technology must be disclosed to investors.

“As AI disclosures by SEC registrants increase, the basics of good securities lawyering still apply,” Gary Gensler said in a speech at Yale Law School.

Gary Gensler, chair of the US Securities and Exchange Commission

Photographer: Samuel Corum/Bloomberg

Companies from a range of industries have been advertising how they’re harnessing AI to improve operations. More than 40% of S&P 500 companies discussed the technology in their annual reports to the SEC, according to a recent Bloomberg Law analysis. Financial firms are also harnessing the technology in everything from lending to trade recommendations.

Gensler has previously called AI the “transformative technology of this generation,” but he has also warned about dangers it could pose to financial stability. The SEC recently proposed new regulations to crack down on how brokerages and investment firms use the technology.

Read More: Wall Street’s Use of AI, Data Analytics Faces New SEC Rules

Industry groups like the American Securities Association, which represents financial advisers, have critiqued the proposal as being so broad as to prevent most firms from communicating with their clients.

Systemic Risks

During his speech on Tuesday, the SEC chair again warned about the technology’s potential impact on financial stability. He expressed concerns about the prospect of thousands of financial institutions all using the same underlying AI models furthering biases. Concentration in AI providers is almost certain to happen due to economics of scale and network effects, he cautioned.

To contact the reporter on this story:
Lydia Beyoud in Washington at lbeyoud2@bloomberg.net

To contact the editor responsible for this story:
Ben Bain at bbain2@bloomberg.net

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