AI transformation: beyond hype toward strategic value

Fujitsu / December 8, 2025

AI is everywhere. It is the new must-have feature, the thing every product suddenly needs in order to stay “innovative”. Add a chatbot here, automate a random process there, and suddenly you're the innovation hero of the week.

If this feels familiar, it’s because we’ve seen it before. Dot-com era folks remember when you could raise millions with just a domain name and a half-baked pitch. Most of those stories didn’t end too well.

The twist today? AI actually works - sometimes. But the hype is accelerating much faster than the discipline around it. Fujitsu’s recent research across 1,750 European tech leaders shows the same tension: confidence is at an all-time high, but governance and modernization often lag behind. That’s why I’ll give you some guidance as a starting point.

Confidence is high – reality checks are higher

Research into European tech leadership shows confidence levels high enough to light up an entire smart city. Around 85% of CIOs says IT is now strategic, which is awesome… until the board asks why your shiny “AI-powered invoicing tool” just hallucinated a refund the size of a national budget.
CIOs have become central players in innovation, cyber security, and business strategy. And yes, everyone wants to talk about AI. As one leader summed it up nicely: “We don’t want to be AI-led for the sake of it; we will deploy AI smartly.” In other words: stop deploying AI just to tick a box.

Governance before gadgets

Business teams are more tech-savvy than ever. Maybe a bit too savvy at times. Over 80% of CIOs now see their primary role as setting up guardrails (security, compliance, interoperability etc.) while still letting teams experiment.
It’s like giving your teenager car keys but secretly installing GPS, a speed limiter, and maybe a camera or two. Let them explore, sure, but not into oncoming traffic.
Fujitsu’s research echoes this: 84% of IT leaders believe their job is to enable experimentation while enforcing standards. Sharon Prior, a CIO interviewed in the study, put it perfectly: “The focus is on building empowering guardrails clear standards around security and compliance, but doing it in a way that’s transparent and flexible.” AI without governance isn’t innovation- it’s an audit waiting to happen.

Legacy systems that you can’t get rid of

Everybody wants to be “AI-enabled in 24 months”. But when 40–75% of IT budgets go to maintaining legacy systems, that timeline gets… optimistic.
Trying to do modern AI work on top of that is basically like trying to run a marathon while dragging a fridge. It might technically be possible, but you won’t enjoy it and nobody’s impressed.
Fujitsu’s survey shows 64% of tech leaders say legacy is holding back innovation, and 12% of large organizations spend 75% or more of their IT budget on old systems. Modernization isn’t optional, it’s the runway AI needs to take off. As Tony Mather, CIO at QinetiQ, says: “Getting the ‘run’ costs down means you can focus on things that will become value generators for the business.”

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