AI 'Washers' Can't Exaggerate Their Way Out of This One

Startups come and mostly go, but Builder.ai is an unusual case.

Having raised $445 million from investors including Microsoft Corp. and SoftBank Group Corp., the British firm entered insolvency proceedings this week after a major creditor seized $37 million from its accounts, leaving $5 million in the company’s coffers. Builder.ai’s former staff told Bloomberg News that it had been inflating its sales figures to investors, forcing the company to lower its sales estimates in March. But that wasn’t the only thing it inflated: When I investigated the startup back in 2019, workers told me that its core technology of building apps with artificial intelligence was mostly being done by software developers in Ukraine and India.

The company denied this at the time. (It also later changed its name to Builder.ai from Engineer.ai.) But a spate of other companies has been rapped over the past year for secretly using humans in the place of “AI” thanks to crackdowns by the US Securities and Exchange Commission, Department of Justice and Federal Trade Commission. A less egregious approach is to exaggerate how cutting-edge their tech truly is. In both cases, customers and investors take the bait because they don’t do proper due diligence — and because the definition of “artificial intelligence” itself is so grey, its underpinnings so difficult for non-technical people to parse, that its sellers can get away with slapping the label on more basic software. Or, at least, they could.

We may finally be turning a page on the ignoble “AI washing” chapter of tech history. For one thing, generative AI has delivered concrete breakthroughs that make the practice of using secret contractors unnecessary. A separate AI firm I investigated five years ago, for instance, hired people to trawl social media because its algorithms couldn’t do the job properly. It ordered them to sign nondisclosure agreements and post vague titles to their LinkedIn profiles. Yet today, large language models can do those jobs, with just a few humans providing oversight rather than doing most of the heavy lifting.