EY Global Vice Chair: AI’s biggest paradox comes down to what AI can’t do
Article excerpt
I’ve spent two decades inside a professional services firm where human judgment is foundational to the business model. Clients come to EY not just for analysis, but for the experience, insight, and perspective needed to navigate uncertainty and make better decisions. That is exactly the skill AI is now forcing into every job, whether the title on the door says analyst, technician, or machine operator. The paradox of the AI era is that the more capable the technology becomes, the more the market rewards the other things. Sought-after skills are intrinsically human - it all comes down to what AI can’t do. While investments in AI rise, companies are still missing out on up to 40% of AI productivity gains due to gaps in talent investment. Many training programs focus on technical AI experience, skipping over critical skills that will determine whether an AI strategy pays off. Technology thrives at repetitive tasks and surfacing data. But humans are responsible for defining the goal, setting the purpose and providing the context that gives information meaning. People decide which objectives are worth pursuing, recognize when context changes and remain accountable for the results. Without that human direction, data and insights may not be applied effectively or generate their full potential value. This reframes what an AI-orchestrated workplace looks like. It doesn’t remove the...
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Our recent work with the beverage manufacturer Lion evidenced this as collaboration with ecosystem partners led to 75% faster customer response speed and roughly 30% improvement in operating costs across its people function.
