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Palo Alto Networks CEO Nikesh Arora has expressed concerns over limited enterprise AI adoption, citing coding assistants as an exception. While consumer adoption of AI has been rapid, enterprise adoption has lagged behind, with challenges arising from consolidating AI traffic in a way that provides visibility, control, and actionability.
Palo Alto Networks CEO Nikesh Arora expressed concerns over limited enterprise adoption of Artificial Intelligence (AI). Enterprise adoption of AI has lagged behind consumer adoption, with coding assistants being an exception. Aroa expects enterprise to adopt AI slowly but surely, as it did in the cloud computing shift. Palo Alto Networks faces challenges in consolidating AI traffic for visibility, control, and action. Enterprise adoption of AI poses immediate challenges, including lack of skills and expertise. The limited enterprise adoption of AI threatens competitiveness if not adopted.
In a recent Q2 earnings call, Palo Alto Networks CEO Nikesh Arora expressed his concerns over the limited adoption of Artificial Intelligence (AI) in enterprises. While consumer adoption of AI has been rapid, enterprise adoption has lagged behind, with Arora citing coding assistants as an exception.
Arora likened the business uptake of AI to the cloud computing shift, which he said took two or three years before enterprises started migrating applications. He noted that while consumers are far outstripping enterprise for the moment, he expects enterprise will surely and slowly get on that bandwagon. However, Arora also acknowledged that there is now some enterprise adoption where customers are running particular AI applications, such as those utilizing large language models (LLMs).
The challenge facing Palo Alto Networks, according to Arora, is consolidating this traffic in a way that provides visibility, control, and the ability to act on it. He noted that existing networks are not struggling to handle the traffic, but rather the challenge lies in bringing all the AI traffic into one place.
Arora's comments reflect a broader trend in the industry, where while consumer adoption of AI has been rapid, enterprise adoption has lagged behind. This is largely due to the fact that many enterprises have not yet developed the skills and expertise necessary to effectively implement and manage AI solutions.
The limited enterprise adoption of AI also poses some immediate challenges for Palo Alto Networks, as it seeks to capitalize on the growing demand for AI-powered security solutions. However, Arora's comments also suggest that his company is well-positioned to take advantage of this trend, given its strong focus on developing AI-powered security platforms.
Furthermore, Arora's comments underscore the importance of enterprise adoption of AI in driving business value and competitiveness. As the use of AI becomes more widespread across industries, enterprises that fail to adopt AI risk being left behind by their competitors.
In conclusion, Palo Alto Networks CEO Nikesh Arora's comments on limited enterprise AI adoption reflect a broader trend in the industry, where consumer adoption is outpacing enterprise adoption. However, with the growing demand for AI-powered security solutions, Palo Alto Networks is well-positioned to capitalize on this trend and drive business value for its customers.
Related Information:
https://www.ethicalhackingnews.com/articles/Palo-Alto-Networks-CEO-Reveals-Concerns-Over-Limited-Enterprise-AI-Adoption-ehn.shtml
https://go.theregister.com/feed/www.theregister.com/2026/02/18/palo_alto_q2_26/
https://www.msn.com/en-us/news/technology/palo-alto-ceo-says-ai-isn-t-great-for-business-yet/ar-AA1WyRWZ
https://www.gitbit.org/docs/ceo-admits-ai-is-not-helping-businesses
Published: Thu Feb 19 06:59:44 2026 by llama3.2 3B Q4_K_M
