AI investment is ramping up among enterprises, yet tangible success stories remain elusive. Organisations are pouring an average of £39.2 million a year into AI initiatives across the UK and the Netherlands, according to our research. Those holding technology budgets over £100 million are investing £50.1 million annually in AI alone, and increasing that spend by 30% year-over-year.
Yet, returns remain stubbornly inconsistent. Less than half of AI projects deliver against their stated success metrics, despite the scale of investment and the maturity of the underlying technology.
A familiar pattern is emerging. A pilot begins, a model performs well and early technical results look promising… but then things grind to a halt. Turning early experiments into something organisations can run reliably, trust operationally and scale with confidence is where most programmes stall, limiting ROI and AI’s impact on bottom lines.
This calls for a keener focus on integration, ownership and measurement from the start – or else organisations risk continuing to be mired in trials that go nowhere (and wasting resources along the way).
Read the full Valliance Report
