EY Global Vice Chair: AI's biggest paradox comes down to what AI can't do
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.
TL;DR
- AI forces human judgment into every job, paradoxically increasing the value of human skills.
- Companies are losing up to 40% of AI productivity gains due to talent gaps, often neglecting critical human skills for technical AI training.
- Humans are essential for defining goals, setting purpose, providing context, and remaining accountable for AI-driven outcomes.
- AI fluency involves not just operating AI tools but also evaluating outputs and knowing when to intervene.
- The increasing autonomy of AI systems concentrates human responsibility and makes human judgment even more critical.
- Analytical thinking is the most sought-after skill by employers, with seven in ten calling it essential.
- Leaders want employees who can challenge AI and avoid blind delegation.
- Isolated AI workforce integration approaches are costly; alliances and ecosystems are more efficient.
- Hybrid AI-human workflows should be designed around shared tasks and integrated processes, not rigid handoffs.
- Technical AI skills have a short shelf life, but the judgment to know when and how to intervene is enduring.
- Secure and trusted AI relies on human judgment.
- Organizations successfully scaling AI deliberately choose which job parts remain human, clarifying rather than shrinking the human role.