CEO: “token efficiency needs to drop 90%” Dude… just write “\no_think” before you ‘summarize this email’ prompts

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Palo Alto Networks CEO Nikesh Arora warns that AI token costs need to fall 90% for widespread enterprise adoption, citing budget strains and the need for further efficiency improvements beyond OpenAI's 54% token efficiency gain.

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# Palo Alto CEO Arora says AI pricing needs to fall 90% as token costs skyrocket Source: [https://www.cnbc.com/2026/07/09/palo-alto-ceo-arora-ai-pricing.html](https://www.cnbc.com/2026/07/09/palo-alto-ceo-arora-ai-pricing.html) ![Palo Alto Networks CEO: We need to see the pricing for AI come down](https://image.cnbcfm.com/api/v1/image/108332756-17836072451783607242-47056559926-1080pnbcnews.jpg?v=1783607244&w=750&h=422&vtcrop=y) [Palo Alto Networks](https://www.cnbc.com/quotes/PANW/)CEO[Nikesh Arora](https://www.cnbc.com/2025/08/05/palo-alto-ceo-nikesh-aroras-25-billion-bet-on-cyberark-stock-down.html)warned that token costs need to drop as much as 90% to promote large\-scale[artificial intelligence](https://www.cnbc.com/ai-effect/)adoption\. "I think 54% is a good start," Arora told CNBC's Seema Mody on "[Squawk on the Street](https://www.cnbc.com/squawk-on-the-street/)" on Thursday, after[OpenAI](https://www.cnbc.com/quotes/OPENAI.FG/)CEO[Sam Altman](https://www.cnbc.com/sam-altman/)told CNBC that the frontier lab's latest[model](https://www.cnbc.com/2026/07/08/openai-expanding-gpt-5point6-ai-model-release-ending-government-limits.html)[is 54% more token\-efficient](https://www.cnbc.com/2026/07/09/open-ai-sam-altman-chatgpt-5-6-sol.html)for agentic coding\. "I think we probably need another turn at it\." Arora said token efficiency needs to drop to as much as 20% over the next 12 months, and 90% by the following year\. Rising token costs have emerged as a major pain point for businesses and put a strain on AI budgets\. The current pricing, he said, makes AI tools increasingly difficult for businesses to implement\. "We need to see the pricing for AI come down," Arora said\. Arora is among a growing group of executives pushing for a decline in token pricing\. The worry is that high token costs create a major barrier to widespread adoption, preventing many enterprises from using the tools\. ## Read more CNBC tech news - [Anduril CEO says it's bad to IPO in 'middle of a hype cycle'](https://www.cnbc.com/2026/07/09/anduril-ceo-ipo-defense.html) - [Palo Alto CEO Arora says AI pricing needs to fall 90% as token costs skyrocket](https://www.cnbc.com/2026/07/09/palo-alto-ceo-arora-ai-pricing.html) - [OpenAI's newest AI model is 54% more token efficient on agentic coding, Altman tells CNBC](https://www.cnbc.com/2026/07/09/open-ai-sam-altman-chatgpt-5-6-sol.html) - [Meta jumps into AI coding market in effort to chase Anthropic and OpenAI](https://www.cnbc.com/2026/07/09/meta-jumps-into-ai-coding-market-to-chase-anthropic-and-openai.html) Last week,[Palantir](https://www.cnbc.com/quotes/PLTR/)CEO Alex Karp[blasted the token model](https://www.cnbc.com/2026/07/01/palantir-karp-open-ai-anthropic-tokens.html)used by[Anthropic](https://www.cnbc.com/quotes/ANTHR.FG/)and OpenAI, and called open\-weight models a potential solution\. "I'm not throwing shade at them, but something has gone completely wrong," he told CNBC's "[Squawk Box](https://www.cnbc.com/squawk-box-us/)\." "The basic view among enterprises in this country is I'm going to chillax and waste my time with tokens\." The token problem is leading many businesses to implement cheaper open\-weight tools, including Chinese models that are quickly closing the gap with American labs\. At the same time, AI spending is accelerating to new highs to power the massive infrastructure build\-out\. Tech giants are also looking for new ways to fund these AI investments, with[SpaceX](https://www.cnbc.com/quotes/SPCX/)raising $25 billion last month in a bond sale\.[Amazon](https://www.cnbc.com/quotes/AMZN/)raised[$25 billion in debt](https://www.cnbc.com/2026/07/07/amazon-bond-sale-ai-debt.html)this week\. Arora said the market will start to come to terms with the spending, or businesses will adjust to the market\. Budgets will also decline as the technology becomes more efficient\. "It's important to understand the demand continues to be infinite, and as long as you have an infinite demand curve that you're facing, I think all these things will rationalize over time," he said\.

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The article critiques the current AI mania in enterprises, where skyrocketing costs often outweigh ROI due to inefficient usage like token maxing. It advocates for a dual focus on organizational fluency and algorithmic cost mitigation, such as Observation Masking, to transform AI from a capital burner into a value creator.