AI plans are growing faster than most IT teams can keep up with. UK channel partners are being pushed to turn vague AI ambition into working projects, which matters if you rely on suppliers to fill skills gaps and keep experiments from turning into expensive shelfware.
The physical side of AI is biting too, with a growing backlash against data centres over power use and local impact. If planning rules tighten or community pressure grows, you may see cloud regions, latency, or costs shift in ways that affect where you place workloads.
On the hardware front, Lenovo’s ThinkPad L14 Gen 7 is pitched as an AI enhanced workhorse but comes with a slightly disappointing screen. That matters if you are refreshing fleets for staff who live in Teams and Excel all day, since usability and display quality can be more important than the latest AI badge.
AI strategy and storage under the microscope
NetApp’s CEO is clear that successful AI adoption still rests on old fashioned transformation basics, with business outcomes leading the tech. That is a reminder to small IT teams to pin every AI request to a clear owner, a metric, and a budget, rather than chasing features for their own sake.
NetApp is also talking up Novus, a zettabyte scale file system aimed at AI factory bottlenecks. While that scale is beyond most SMEs, it signals where storage roadmaps are heading, so you should expect vendors to push new architectures and pricing around AI data growth.
Alongside that, NetApp wants customers to bring their own model for storage automation, adding natural language tools to help admins manage systems. If this lands in products you already own, it could cut the time you spend on routine storage tasks, but you will also need to check how those models are secured and governed.
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