Amid regulation, lower prices, AI pricing power at issue

At a time when markets are growing uneasy over whether the enormous sums being poured into artificial intelligence will ever pay off, the prices the sector commands for each unit of usage are drifting lower.

- JAN-PATRICK BARNERT AND MICHAEL MSIKA

JOE RAEDLE Getty Images CABLES are part of network switches in the data center of the LightEdge Solutions in Altoona, Iowa.

The Silicon Data LLM Token Expenditure Index, which tracks what users pay for AI tokens, is down almost 20% from a high in May after nearly doubling since its inception in December. The gauge is the cleanest read anyone has on the $700-billion-plus capex boom that has done the sector's heavy lifting.

For stock investors, that could be flashing a warning that AI companies are losing pricing power with increasingly cost-sensitive customers, and that expectations for an eventual AI bonanza could prove misplaced.

"There are increasing reports that users of AI solutions, priced in tokens, are having to restrain unlimited use due to high costs," said veteran investor Louis Navellier. "The chatter that OpenAI is pushing back its IPO to next year is seen as a sign that, currently, profitability remains a problem."

Just to clarify, a softer index doesn't mean AI is getting cheaper. The gauge blends prices and usage, meaning a dip can imply very different scenarios: either list prices are falling, or demand is shifting toward cheaper models. It could also point to a genuine softening in what buyers are prepared to shoulder.

Each of these possibilities carries different implications. Silicon Data, which built the index, has warned people to stop reading it as a price tag. The firm calls it a proxy for marginal willingness to pay.