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Palo Alto CEO: Wider AI Adoption Needs 90% Lower Token Costs

Nikesh Arora, CEO of Palo Alto Networks (PANW), stated that the cost of running AI must decline by 90% before corporations can fully integrate and scale the technology.

July 9, 2026
2 min read
Source: Stocktwits
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Nikesh Arora, CEO of Palo Alto Networks (PANW), stated that the cost of running artificial intelligence must decline dramatically—by 90%—before corporations can fully integrate and scale it. He emphasized the need to reduce token costs to accelerate enterprise AI adoption.

Details

Arora noted that current costs for running AI models, such as those from OpenAI and Anthropic, remain prohibitively high for most businesses. A 90% reduction in token costs would make AI accessible to enterprises, enabling broader applications.

Context

Arora's comments come amid an industry-wide race to lower AI costs and improve efficiency. Companies like OpenAI and Anthropic are continuously refining their models to reduce computational expenses. Palo Alto Networks, a cybersecurity firm, leverages AI in its products, making cost reduction critical for its growth.

What This Means for Investors

Arora's remarks highlight a key challenge in enterprise AI adoption. If cost reductions materialize, it could accelerate AI adoption across sectors, benefiting companies like Palo Alto that integrate AI into their solutions. However, investors should monitor developments in computing costs and companies' ability to achieve such reductions.

Frequently Asked Questions

Token costs refer to the expenses associated with processing tokens in AI models, where each token represents a piece of text or data.

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This article was rewritten in Wrqti's editorial style based on information from the original source above. Content is informational only — not investment advice.