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TechCrunch Launches Rating System Measuring AI Labs’ Business Ambition from Level 1 (Pure Research) to Level 5 (Daily Revenue)
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Humans& lands at level 3 with plans for workplace AI but no concrete products; World Labs Climbs to Level 4 with Shipment of Space AI Model
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Thinking Machines Lab loses half of its founding executives in weeks, raising questions about its Tier 4 roadmap
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Safe Superintelligence’s Ilya Sutskever raised $3 billion for pure research, but hinted at a potential commercial pivot if timelines change
The AI industry’s latest identity crisis has just found a framework. As foundation model startups raise billions without clear revenue strategies, TechCrunch has introduced a five-tier scale measuring business ambition — not success. The timing couldn’t be more precise. With Humans& raising $480 million while remaining vague on products, the bleeding executives of Thinking Machines Lab and Safe Superintelligence turning down Meta’s acquisition offer, the question isn’t who makes the money. It’s even who tries.
The AI gold rush has created a particular problem: it becomes impossible to tell which labs actually want to make money. Veterans of OpenAI, GoogleAnd Meta are launching model foundation startups with billion-dollar war chests and zero revenue pressure. Investors are so eager to fund anything related to AI that business plans have become optional.
TechCrunch has just proposed a solution: a five-tier marketing scale measuring ambition rather than actual benefits. Level 5 companies like OpenAI And Anthropic mint millions every day. Level 1 labs treat “true wealth” as self-actualization. The middle tiers – where most new startups land – reveal the industry’s existential confusion over whether AI research should prioritize science or shareholders.
The scale comes as several top labs manage this tension in real time. Humans, who raised $480 million this weekearned a Level 3 rating for having “many promising product ideas” without committing to specifics. The startup has floated vague plans for workplace AI tools replacing Slack and Google Docs, but observers remain perplexed by the details of the execution.
“It’s my job to know what this means, and I’m still pretty confused,” wrote TechCrunch’s Russell Brandom, capturing the industry’s broader perplexity.
The trajectory of Thinking Machines Lab tells a more complicated story. Former OpenAI CTO Mira Murati’s $2 billion funding round suggested a Tier 4 operation with detailed commercialization plans. SO within two weeks, citing concerns about the company’s direction. Nearly half of the founding team has been gone for just a year.