React argues AI investment is widening a human skills gap

Workplace learning specialist React has warned that the corporate rush to deploy artificial intelligence risks creating a second, less visible skills crisis: the erosion of opportunities for managers to practise distinctly human capabilities such as empathy, judgement and handling difficult conversations.

The company, which has used professional actors in management training for more than three decades, argues that AI can supplement preparation for high-stakes conversations but cannot substitute the unpredictability of a real human interaction. The argument lands as enterprise AI spending continues to rise sharply, with workforce-development budgets increasingly redirected towards technical upskilling and AI-literacy programmes.

The human skills case

React chief executive Adrian Cook contends that the growing availability of AI-generated coaching and scenario tools does not close the gap between knowing how to handle a difficult situation and actually handling it. "AI can give a manager information, suggest what they should say and even help them prepare for a difficult conversation, but knowing the answer is not the same as being able to handle the person sitting opposite you," Cook said. "People don't follow a script. They become defensive, emotional or frustrated. They interrupt, challenge you, misunderstand what you meant or simply disagree."

The company draws a pointed analogy: pilots spend hours in simulators before they are trusted with live aircraft, actors rehearse extensively before performing, and professional athletes practise the specific movements they will need under competition conditions. Managers, by contrast, are routinely expected to conduct some of the most consequential conversations of their careers with no prior rehearsal at all.

React's model uses actors trained to respond with realistic emotional unpredictability, allowing participants to stop, debrief and retry an exchange with a different approach. The company says the immediate feedback loop is what distinguishes experiential learning from frameworks or online modules, whether AI-assisted or not.

The Trust Pyramid framework

To address what it characterises as a systemic gap, React has launched the Trust Pyramid, a diagnostic and development framework designed to help organisations identify the specific leadership behaviours that affect employee confidence, customer loyalty and commercial performance. The product line includes a forthcoming book, leadership development programmes, behavioural diagnostics and an AI-specific masterclass delivered globally.

Cook's intervention sits within a broader, increasingly mainstream debate about the distributional effects of AI on workforce skills. A number of academic researchers and HR technology vendors have begun differentiating between tasks that AI automates well and the interpersonal competencies that remain resistant to automation. The World Economic Forum's 2025 Future of Jobs report placed complex problem-solving, leadership and social influence in its list of fastest-growing skill demands precisely because they are difficult to replicate algorithmically.

The enterprise learning and development market is itself a significant commercial opportunity, estimated by multiple analyst firms to be worth tens of billions of dollars globally. React operates in the specialist corner of that market occupied by experiential and behavioural learning providers. Its principal competitors are a mix of drama-based training boutiques, executive coaching firms and, increasingly, AI-native coaching platforms that use large language models to simulate conversation partners.

The tension Cook is highlighting is real and is being discussed at policy level too. The UK's Institute for Apprenticeships and Technical Education has been reviewing how funded training standards should account for the rise of AI-assisted learning, and whether digital delivery can adequately substitute for observed, assessed performance in interpersonal skill areas.

Whether the Trust Pyramid framework generates measurable commercial traction will depend on React's ability to demonstrate behaviour change at scale, not just framework adoption. The company has not disclosed pricing, client numbers or any third-party efficacy data for its existing actor-based programmes.