The gap between AI capability and workforce readiness is widening. Billions are flowing into AI models and data centres, yet the people expected to use these tools remain largely untrained, unsupported, and very exposed. That gap, left unaddressed, could trigger a wave of job losses more severe than anything seen since deindustrialisation in the 1980s.

Euan Blair, Founder and CEO of Multiverse, makes the case that AI skilling is not a technology problem. It is a people problem, and one that generic training courses will never solve.

Euan argues that worker in every sector need a meaningful, practical understanding of AI, not just technologists. He challenges the idea that handing AI adoption to a learning and development team is sufficient. He argues that contextualised, on-the-job training is the only route to productivity gains organisations are chasing. He sets out real dangers facing workers aged 40 to 49, currently the most productive demographic yet the most overlooked when it comes to AI reskilling. And he makes a direct challenge to boards: the question is not whether to invest in AI skills, but whether leaders will act now or wait until the damage is done.

Highlights from the conversation:

• An NHS worker at the Royal Free Hospital digitised the patient journey using AI, doubling the daily department caseload and cutting patient waiting times by a third

• A council worker built an AI triage process that spots invalid eviction notices in seconds, preventing homelessness and saving the council significant resource

• The OBR estimates AI could add tens of billions to UK GDP in the coming years, but a 25-to-30-year adoption cycle is possible if training is not urgently prioritised

• The workforce is bifurcating between those with genuine AI skills and those without. Organisations face the same divide

• Boards must stop measuring AI adoption through licence activations and hour utilisation and focus instead on tangible outcomes tied to cost, revenue, and mission

This episode is essential listening for any leader who wants to understand AI adoption and its actual requirements of their organisation and their people.

Chapters:

00:00 AI and Workforce Transformation

02:55 The Evolution of Skills in the AI Era

05:59 Job Displacement and Human-AI Collaboration

09:07 Supporting Early Career and Mid-Career Workers

11:54 The Role of Leadership in AI Adoption

15:05 Measuring Productivity Gains from AI

17:49 The Responsibility of Training and Reskilling

20:50 Long-Term Strategies for AI Integration

23:57 Preparing for the Future of Work with AI