One signal

Dan Niles, founder of Niles Investment Management, says competition from open-source models is weighing on token prices and slowing revenue growth at leading AI companies, Bloomberg reports.

Niles argues that higher financing costs and postponed public listings add to the pressure, making investors more selective about AI-linked assets. That is his market assessment, not proof that the sector’s revenues are slowing across the board. The claim gives investors a concrete question beyond the usual spending totals: are falling prices for AI services beginning to challenge the growth story?

Discuss: If open-source models push AI prices down, should investors see that chiefly as a threat to company revenue or as a sign the technology is becoming more useful and accessible?

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