‘We need to see the pricing for AI come down’: Palo Alto Networks CEO… is attracting attention across the tech world. Analysts, enthusiasts, and industry observers are watching closely to see how this story develops.
This update adds another signal to a fast-moving sector where product decisions, platform changes, and competition can quickly shape the market.
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Palo Alto Networks CEO Nikesh Arora has warned that AI pricing is still too high for widespread enterprise adoption, arguing that it should be drastically cheaper.
Although model efficiency and performance have come a long way in recent years, he believes cost remains one of the biggest barriers for widespread adoption.
In a recent interview with CNBC, Arora laid out how he believes token prices need to fall by as much as 90%, however he acknowledges that the change is unlikely to happen immediately, instead welcoming a 20% price reduction over the next year or so.
Arora’s comments come in response to OpenAI’s latest announcement, revealing that its latest GPT-5.6 Sol model is now 54% mode token-efficient across agentic coding tasks – a major improvement.
Though Palo Alto Networks’ CEO admitted that this in itself is a good start, it’s not enough of an improvement to drastically change pricing for major enterprises at the moment.
“It’s significant to understand the demand continues to be infinite,” he added, implying that cost remains prohibitive. The issue of cost is also becoming more of an issue as AI companies evolve their pricing strategies, with customers moving toward consumption-based models rather than flat monthly fees per user.
significantly, Arora’s vision for cheaper AI isn’t unfounded. Virtually all previous technological revolutions have already followed a similar pattern. In the case of AI, compute would become cheaper, models would become more efficient and competition could keep prices low, all working in the favor of enterprise customers.
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With several years’ experience freelancing in tech and automotive circles, Craig’s specific interests lie in tech innovation that is designed to better our lives, including AI and ML, productivity aids, and smart fitness. He is also passionate about cars and the decarbonisation of personal transportation. As an avid bargain-hunter, you can be sure that any deal Craig finds is top value!
Why This Matters
This development may influence user expectations, future product strategy, and the competitive balance inside the broader technology industry.
Companies in adjacent segments often react quickly to similar moves, which is why stories like this tend to matter beyond a single announcement.
Looking Ahead
The full impact will become clearer over time, but the story already highlights how quickly the modern tech landscape can evolve.
Observers will continue tracking the next steps and how they affect products, users, and the wider market.
