Two Investment Advisers Paid $400,000 for Selling AI They Did Not Have

What happened

In March 2024, the US Securities and Exchange Commission settled enforcement actions against two registered investment advisers, Delphia (USA) Inc. and Global Predictions Inc., for making false and misleading statements about their use of artificial intelligence. The two firms together paid $400,000 in civil penalties, marking the first SEC enforcement actions specifically targeting AI washing in the investment industry.

Delphia marketed itself as a firm that used AI and machine learning to make investment decisions based on data contributed by its own clients. The SEC found those claims were false: the company had no working AI system capable of what it had described to prospective clients and regulators. Global Predictions similarly told clients it was the "first regulated AI financial adviser" and claimed its platform offered expert AI-driven forecasts. The SEC found those characterizations materially overstated what the firm's technology actually did.

Both cases followed the same pattern. A firm built a marketing narrative around AI before the underlying technology existed or functioned as advertised. Clients and prospects made decisions, including whether to hand over money and data, based on representations about a capability the firms' own systems could not back up. Neither company was ordered to pay disgorgement on top of the civil penalty, suggesting the SEC treated these as disclosure failures rather than fraud that produced measurable ill-gotten gains.

The enforcement came at a moment when regulators were watching AI claims in financial services with unusual attention. The SEC had been signaling for months that applying the AI label to conventional software or human-driven processes would be treated as a material misstatement under existing securities law. That these were the first cases rather than isolated outliers reflects how widely the practice had spread: the same dynamic, firms layering an AI veneer over ordinary operations to attract clients and capital, appeared in related cases from American Bitcoin Academy and YouPlus that surfaced around the same period.

The fines resolved the immediate enforcement problem but left a harder structural question unanswered. A company can claim to use AI, collect fees from clients who believed it, and face no audit obligation until a regulator investigates. There is no standing requirement to maintain a provable record of what a system did, whether it matched what was sold, or how it affected client outcomes. That gap is what made AI washing not just tempting but easy: the claim and the capability lived in entirely separate silos, and nothing required them to meet.

Reported impact

Affected parties

Not publicly disclosed

Harm type

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Scale

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Financial impact

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Regulatory action

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Classification

Organization

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AI system

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Industry

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Country

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Provider

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Incident type

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Relevant governance controls

Governance control mapping is not available for this record.

• No controls mappedNot publicly disclosed

Control mapping is analytical. It does not state that any control would have prevented the incident.

Sources and evidence

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