‘The gap between AI ambition and infrastructure reality is widening’ Google Cloud report finds 83% of organizations must overhaul their infrastructure in order to maximize the agentic AI opportunity
- Most businesses are struggling to deploy agentic AI effectively, and legacy infrastructure is one of the key reasons, report finds
- Google polled IT leaders, with 83% stating that infrastructure upgrades are needed
- IT leaders are also concerned about the hidden costs of agentic AI, such as increased power consumption and operational complexity
If there was a single message to take away from this article, it’s that the infrastructure every business relies on today was not built to handle agentic AI.
Google surveyed over 1,400 senior IT leaders on their AI ambitions, and found that 83% of organizations say they require infrastructure upgrades to leverage the full benefits of production-grade agentic AI.
Moreover, many of those polled are also seeing unexpected costs arise from attempting to run agentic AI on legacy infrastructure. 62% said they had seen significant inference tax driven by data egress fees, storage bloat, and idle specialized hardware,...
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