AI Will Reshape Work. Human Skills Will Determine the Value
As AI becomes more capable of analysing information, generating content and performing routine tasks, the role of people at work is being reshaped. Human judgement and expertise will be critical in deciding where AI can add value and how it should be applied.
The greatest gains will come not from adopting AI alone, but from redesigning work around the complementary strengths of people and technology. This requires organisations to build technical capability while continually developing the judgement, adaptability and expertise their employees need as roles evolve.
The World Economic Forum’s Future of Jobs Report 2025 found that 63% of employers identify skills gaps as the biggest barrier to business transformation. Those gaps are not confined to technical expertise. While AI and big data top the list of fastest-growing skills, employers also expect creative thinking, resilience, flexibility and agility, leadership and social influence to become increasingly important.
For organisations investing in AI, developing the skills needed to use the technology must go hand in hand with strengthening human judgement, creativity and interpersonal capability.
When AI does more, human skills matter more
A Financial Times article reveals how this shift is already playing out. Executives at some of the UK’s largest consulting firms highlight that as AI takes on a growing share of routine technical work, interpersonal skills are becoming more valuable. At EY, this has prompted a renewed focus on capabilities including empathy, storytelling and leadership.
This has renewed interest in consulting’s traditional apprenticeship model, in which junior employees learn by observing experienced colleagues as they work with clients and make decisions. Firms including EY and KPMG are therefore examining how working patterns –including the time junior employees spend in the office – affect the development of these capabilities.
This example illustrates a wider challenge for employers. If AI takes over some of the tasks through which people have traditionally gained experience, organisations must consider not only which new skills employees require, but also how they will acquire them.
From automation to amplification
Fuel50 describes this opportunity as human amplification rather than simply optimisation. Using AI to perform existing tasks faster can generate efficiency gains, but the greater opportunity lies in redesigning work so that technology extends what people can achieve.
McKinsey research reaches a similar conclusion. Companies further ahead in AI transformation are not simply deploying tools. They are also redesigning workflows and investing in the skills, behaviours, leadership practices and change management needed to make new ways of working effective.
This requires organisations to understand both how work is changing and how their workforce must change with it.
Which tasks can AI perform or augment? Where will human capabilities become more valuable? What skills already exist within the organisation and where will employees need development or opportunities to move into different roles?
Building an AI-ready workforce
Workforce intelligence, career development and internal mobility therefore need to sit at the centre of AI transformation. Organisations need a clear view of the skills they have today and those they will need tomorrow. Employees also need opportunities to develop, move into new areas and adapt their careers as work changes around them.
Business success will not come from applying AI to the workplace in isolation, nor from investing in people without understanding how technology is reshaping their work. The greatest opportunities will be realised by organisations that use this moment to reconsider where value is created, how work should be designed and what their people need in order to keep developing.
AI may change the tasks people perform, but the quality of human judgement, expertise and adaptability will help determine the value it creates.
