How Management Apprenticeships Boost Productivity and Economic Growth

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Turning AI ambition into business impact

AI is no longer a future ambition, it’s a present-day reality for organisations across every sector. Yet CMI’s latest research reveals that the biggest barriers to successful AI adoption are not technical but human, with a significant capability gap preventing many organisations from translating ambition into measurable business impact.

Drawing on insights from managers, senior leaders and CMI’s AI Advisory Council, this report explores why AI must not be treated as a standalone IT investment, but as a major change management initiative requiring professional human leadership.

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Key Findings

Despite significant financial investment, a staggering ‘say-do’ gap persists. Organisations are buying the technology, but failing to upskill the managers responsible for its success.

Workplace fallout

70%

A striking 70% of managers seek advice from generative AI rather than going to their managers for guidance.

Pilot purgatory

68%

of managers are still in the early stages of experimenting or building pilots, with few reaching advanced AI integration.

A call for training

80%

Over 80% of managers agree that both their own performance, and their team's, would improve with a better understanding of how to manage AI.

Source: CMI Research, 2026

Why AI leadership matters

To bridge the managerial capability gap and deliver transformational return on investment, organisations must build the AI capabilities of their leaders at every level.

Drive accelerated change

Treat AI adoption as a major change project. Align integration to strategic goals and leading new ways of working across teams and systems.

Elevate human
skills

Act as ‘intelligent commissioners’, combining human judgement, emotional intelligence and a human-in-the-loop approach to AI decision-making.

Commit to continuous learning

Leaders must personally engage with AI to gain hands-on experience, practical application and continuous development across the organisation.

Uphold governance and ethics

Focus on practical risk calibration by proactively managing data security, intellectual property and ethical AI alignment, as accountability for these risks shifts from IT departments directly to line managers.