Palo Alto CEO: AI Pricing Must Drop 90% to Drive Adoption
Nikesh Arora warns sky-high token costs are blocking enterprise AI at scale. A 90% price cut is the minimum needed.
Palo Alto Networks CEO Nikesh Arora is sounding the alarm on one of the biggest bottlenecks in the AI boom — cost. Arora says token prices need to collapse by 90% before businesses can realistically deploy artificial intelligence at scale. That's not a rounding error. That's a complete repricing of the entire AI stack.
Right now, token costs are skyrocketing, and that's creating a hard ceiling on enterprise adoption. Companies can run proofs of concept all day long, but once they try to scale those pilots into production, the economics fall apart fast. Arora's point is blunt: if AI stays this expensive, the revolution stalls at the demo stage.
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This matters for your portfolio. The AI trade has been priced for perfection — massive revenue, massive margins, massive adoption. But if a major cybersecurity CEO with skin in the AI game is saying pricing needs to crater 90%, that's a signal the current cost structure isn't sustainable for the buyers. Watch the hyperscalers and chip names closely. Margin compression could be coming before the volume payoff arrives.
Arora's comments also put pressure on AI infrastructure players to compete harder on price. The winners in this next phase won't just be the ones building the most powerful models — they'll be the ones who figure out how to make inference cheap enough that every enterprise can afford to run it at scale. Cheap tokens are the unlock.
This is the kind of friction that reshapes a market. Don't ignore it. Continue reading at US Top News and Analysis.
