
In the current AI boom, Silicon Valley companies are raising billions in funding with minimal focus on profitability. According to TechCrunch AI editor Russell Brandom, many leading AI ventures aren’t even trying to make money despite massive valuations.
The AI Investment Paradox
Brandom created a five-level scale to grade AI companies not on financial success but on how hard they’re attempting to generate revenue. This “vibes-based system” ranges from level five (already profitable) to level one (no clear monetization plan).
Notable AI Companies on the Profitability Scale
Several high-profile AI companies demonstrate this disconnect between valuation and profit-seeking:
- humans& has raised $480 million with a $4.48 billion valuation but hasn’t articulated a specific product, earning a level three rating (“promising product ideas to be revealed later”)
- Safe Superintelligence (SSI), founded by former OpenAI chief scientist Ilya Sutskever, received a level one rating with “no product cycles” despite raising $3 billion and reaching a $20 billion valuation
- Thinking Machines Lab, co-founded by former OpenAI CTO Mira Murati, faces internal turmoil with high-level defections despite its $2 billion valuation
The Financial Reality Gap
The article projects that by 2026, foundation AI companies will have received $80 billion in investments without any of them achieving profitability. This highlights a fundamental disconnect in the AI sector where investors continue pouring money into companies with little evidence of viable business models.
The Confidence Economy
What these companies lack in revenue, they make up for in confidence. The ability to secure billions in funding without clear monetization strategies demonstrates how the AI boom has created an investment environment where traditional financial metrics have been temporarily suspended.
As the article concludes, “if confidence could be bottled and sold, these companies would be profitable on day one” – highlighting the current state of AI investment where vision and hype often outweigh practical business considerations.


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