Even with careful investment, AI is set to boost IT costs

What happened

Bain & Company has forecast that artificial intelligence could push enterprise IT budgets up by as much as 75% over the next decade, even for organisations that pursue disciplined, well-managed AI investment. The consultancy attributes the increase to rising costs across infrastructure, cybersecurity and specialist talent needed to build, run and protect AI systems at scale.

According to the analysis, the cost pressure is not primarily a symptom of wasteful or unplanned spending. Rather, Bain suggests that the underlying requirements of AI — from compute and data infrastructure to the security controls and skilled staff needed to operate it safely — are structurally more expensive than the IT stacks most enterprises have run to date.

Why it matters

The finding reframes a common assumption in boardroom AI strategy: that careful governance and phased rollouts are enough to keep AI's cost curve under control. Bain's analysis suggests leaders should plan for AI to structurally raise the cost base of IT itself, not just the cost of individual projects or pilots.

For technology and transformation leaders, this points to a need to budget for AI as a durable shift in the cost architecture of the enterprise — encompassing infrastructure scaling, ongoing security investment and the war for specialised talent — rather than a one-off capital outlay tied to a specific tool or model deployment.

By the numbers

• 75% — the maximum increase in enterprise IT budgets that Bain & Company forecasts AI could drive.
• A decade — the timeframe over which Bain expects this cost escalation to play out.

The Renascence take

The instinct in many organisations is to treat AI cost overruns as a governance failure — something better vendor selection or tighter pilots would fix. Bain's forecast suggests otherwise: even disciplined investment leads to materially higher IT spend, because AI changes what "running IT well" actually requires.

The mistake is measuring AI's return on the same ledger as the software it replaces. AI does not simply add a line item to the IT budget — it changes the shape of the budget itself, shifting spend toward infrastructure, security and talent that legacy systems never demanded. Customer-obsessed operators should stop asking "how do we contain AI's cost" and start asking "which experiences justify a structurally more expensive technology stack" — because the organisations that win will be the ones that spend on AI where it changes outcomes for customers and employees, not the ones that simply spend the least.