Explainer / Published 2026-11-02

Theranos whistleblower says AI is 'a great opportunity to go deceive people'

Tyler Shultz, who helped expose Theranos as a Theranos employee, told the San Francisco Standard that the current AI market is hard to audit. He said investors must recognise the power they hand over when they write large cheques, and that the days of a thirty-minute coffee leading to a six-figure investment should be over.

(See the reader poll and source context below).

Tyler Shultz told the San Francisco Standard that due diligence is much harder in AI, where investors struggle to separate a real technology from a thin wrapper over an existing model.

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What do the sources establish?

Recorded source context. No verified social reaction quotes or aggregate vote results are supplied.
Platform / SourceCore Stance / QuoteEngagement MetricTimestamp
The man who exposed Elizabeth Holmes has a warning about AIReported context: [object Object] [object Object] [object Object] [object Object] [object Object]Not recordedNot recorded
Theranos whistleblower Tyler Shultz warns that the AI boom is 'a great opportunity to go deceive people'Reported context: [object Object] [object Object] [object Object] [object Object]Not recordedNot recorded

THE SHORT VERSION

  • Tyler Shultz, who helped expose Theranos as a Theranos employee, told the San Francisco Standard that the current AI market is hard to audit.
  • He said investors must recognise the power they hand over when they write large cheques, and that the days of a thirty-minute coffee leading to a six-figure investment should be over.
  • His specific concern about AI is that it is difficult to distinguish a genuinely new technology from a thin layer over an existing model, which he described as a great opportunity to deceive people.

A whistleblower speaks as a documentary lands

Tyler Shultz, whose first job out of college was at Theranos and who became a key whistleblower against the company, gave his first longform interview since the release of the documentary You Can See Everything to the San Francisco Standard. The film follows Elizabeth Holmes in the weeks before she began serving her sentence.

Shultz's role gives the interview its weight. He worked under Holmes, helped expose that the company's blood-testing devices produced inaccurate results, and has spent nearly half his life thinking about how the fraud was sold. His grandfather, former Secretary of State George Shultz, was a Theranos investor and board member.

The cheque is the transfer of power

The lesson Shultz draws is about how the money arrived, not only how it was spent. "I think the days of having a thirty-minute coffee with someone and sending them $100,000 should be over," he told the San Francisco Standard. "Elizabeth took that model and scaled it to $100 million."

He described Holmes's fundraising as the biggest angel round of all time and argued that investors need to recognise the power they hand over with that kind of money. Theranos's backers included individual investors rather than venture firms, and the company declined to share scientific evidence with prospective investors, citing trade secrets. Theranos drew funding from individual investors including the DeVos and Walton families, a pattern that kept institutional diligence out of the process for longer than a venture round would have.

Why AI makes the same mistake easier

"A huge danger with AI is that I think it is really hard to do due diligence on it," Shultz said. He pointed to the difficulty of telling "the difference between what is something truly unique and new versus like, a ChatGPT wrapper." His conclusion is blunt: "If you want to deceive people, I think this is a great opportunity to go deceive people."

The argument is not that every AI company is a fraud. It is that the market's central claim, that a product is built on new capability, is the hardest claim for an outsider to test, and that investors under time pressure have an incentive to accept a demo as evidence.

What the comparison actually refers to

Theranos reached a peak valuation of around $10 billion despite its technology never working as described, according to TechCrunch. The company used its own machines for only a fraction of tests and outsourced others to third-party equipment, while telling investors and partners otherwise.

That is the structure Shultz is warning about: a claim of proprietary capability, a small number of demonstrations, and a capital base large enough that questioning the claim becomes socially expensive. The AI version differs in technology and scale, not in the social mechanism.

The part of the story that has not ended

Shultz also described unease about what comes next. Holmes and her partner Billy Evans are working on a diagnostics company called Haemanthus, which has reportedly raised about $20 million, and Shultz said she is preparing her second act.

"I have this feeling of unease about what might come next," he said. That matters for readers because it links the historical fraud to a live question: whether the systems that allowed the first company to raise money have changed, or whether they have simply moved to a new sector.

What the interview does not establish

An interview is one person's account of an industry, and it is not an audit. The material reviewed here does not name specific AI companies, does not present evidence that any particular valuation is fraudulent, and does not quantify how common the failure mode is.

It also leaves the hardest question open: what due diligence would actually look like for a model-based product. Shultz's answer is that it is difficult; the interview does not set out a test that an investor could apply, and neither of the sources reviewed here offers one.

What would make the warning testable

Three things would turn the warning into evidence: a documented case of an AI company raising on a capability claim that failed technical review, disclosure practices that let outside investors inspect model performance, and whether the current funding cycle produces the same pattern of individual investors and withheld evidence that Theranos did.

Related coverage on this site includes OpenAI's reduced funding target, Anthropic's IPO disclosure and its compute costs and how AI detectors are changing human writing. The first two describe how the money is being raised now; the third shows how hard it has become to tell what is machine-made.

The film that brought the story back

The interview arrives because You Can See Everything, directed by Nathan Fielder and Lance Oppenheim, has become one of the highest-grossing documentaries, according to TechCrunch. The film follows Holmes in the weeks before she began serving a sentence of more than 11 years for the Theranos fraud.

Shultz told the San Francisco Standard that he laid out his argument in the science and healthcare publication Stat after the film was released. That detail matters for how the interview should be read: it is not a reaction to a documentary he had just watched, but a position he had already published.

Sources & reporting limits

  1. The man who exposed Elizabeth Holmes has a warning about AI
  2. Theranos whistleblower Tyler Shultz warns that the AI boom is 'a great opportunity to go deceive people'
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