The gap between expectation and delivery
Operating profit is shaped by a few critical factors:
As investment accelerates, many organisations are finding that converting AI adoption into measurable commercial value is harder than expected. 92% of leaders feel prepared to convert AI adoption into commercial value without eroding margin or increasing risk, yet in practice, integrating AI into existing systems and managing cyber, data and regulatory risk remain the two biggest barriers, each cited by 34% of leaders, with a further third (33%) still struggling to decide which tools are actually worth the investment. Asked where the gap between expectation and delivery is widest in their own organisation, leaders point most often to governance and money. 15% cite AI strategy running ahead of governance and accountability, an equal share cite technology capability lagging behind legacy systems, and another 15% cite cost savings that have not matched what was expected. Add margin improvement (12%) and productivity gains that have not translated into real operational change (10%), and the financial return gaps alone, cost and margin combined, are named more often than any single operational or workforce issue, while just 5% see no significant gap at all.
Where leaders say the biggest gap is between AI expectation and delivery
AI strategy vs governance and accountability
Technology capability vs legacy systems
Cost savings expected vs actually delivered
Margin improvement expected vs actually delivered
Leadership ambition vs workforce readiness
Productivity gains vs real operational change
Investment required vs available capital
Customer expectations vs ability to deliver
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5
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In terms of benefits, half of leaders (50%) report faster delivery, 44% report improved margins and 42% report more output without extra headcount. These are useful improvements, but they are largely self-reported perceptions and lenders are starting to press on AI reporting precision. AI is also forcing organisations to rethink the definition of value. The conversation is shifting from individual productivity to business level capability. Our research highlighted two areas of focus for boards and lenders alike. Forecasts need to show how expected efficiencies translate into revenue, margin, working capital and cash flow, and the gap between expected and actual returns needs treating as a live financial risk.
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