| As the complexities of AI become apparent, CIOs are reassessing what’s possible — and what’s needed. It’s not a total return to the drawing board, but as Nick Evans declared in a feature last week, the AI expectation reset is happening — especially concerning agentic AI — with yesterday’s unknowns becoming known, and IT leaders better equipped to go deeper into enterprise processes. “All this means seriously upping their game in terms of AI integration,” he says.
In a similar sense of gaining greater perspective, and as a smooth segue, Grant Gross details in his lead story today about CIOs green-lighting shifts from public to private and on-prem cloud environments as AI strategies mature. With greater clarity on costs, security, implementation headaches, and data privacy, trends indicate that more enterprise leaders, in North America at least for now, plan to reshuffle their AI assets within the next year.
“AI workloads are driving both massive cloud growth and selective repatriation simultaneously, because the market is expanding so rapidly it’s accommodating multiple deployment models at once,” says Danilo Kirschner, MD of cloud consultancy Zoi North America. “We’re seeing maturation from a naïve ‘everything-to-the-cloud’ strategy toward intelligent, workload-specific decisions.”
It's all systems go, but we’re finally getting used to the pace.
| | Carl Friedmann, Executive Regional Editor, CIO |
|
