One signal

AI costs are falling faster than those of comparable technologies in the past, but they remain substantial, AlixPartners co-CEO Rob Hornby says in a Bloomberg interview.

Hornby describes companies as being in a transition: investment is already flowing, while returns vary. He says the shift from flat fees to per-token pricing has made AI costs more visible. That is a useful reminder that cheaper AI is not the same as cheap AI, nor does it guarantee a return. When does clearer pricing help companies make better AI decisions, and when does it simply make a large bill harder to ignore?

Discuss: When does per-token pricing help companies make better AI decisions, and when does it simply make a large bill harder to ignore?

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