EDUCATE AND REALIGN EXPECTATIONS To help people who think AI can replace human intuition, I would teach them how AI and humans work together. I’d say that while AI is great at data analysis and pattern recognition, human intuition brings creativity, ethical judgment, and understanding of context that AI can’t. AI's role in augmenting human intuition helps set realistic expectations. Furthermore, I would showcase real-world examples of how AI enhances human decision-making. By showing projects where AI tools improve efficiency and help with strategic insights, I can show how a collaborative approach can help. Stakeholders can see how artificial intelligence can work with human expertise by using this evidence-based strategy.

Philosophers have long explored the division between conceiving ideas and implementing them. With AI, this boundary blurs further. Machines now take on the “intellectual labor” of gathering, organizing, and processing information, allowing us to shift focus. Rather than being consumed by data, we can frame questions and pursue creative insights. This redefinition not only expands our capabilities but also amplifies our uniquely human strengths—curiosity, intuition, and the drive to explore meaning. Just as we rely on machines to lift heavy loads, AI now offers us a similar opportunity for intellectual labor, enabling us to focus on the fundamental act of asking the right questions while it handles the data-driven “heavy lifting.”

To manage stakeholder expectations about AI replacing intuition, highlight real examples where human judgment complements AI analysis. Demonstrate how AI augments rather than replaces human decision-making. Present case studies showing successful outcomes from combining AI insights with expert knowledge. Implement pilot projects that showcase the value of human oversight in AI processes. Create frameworks for AI-human collaboration that leverage the strengths of both. By emphasizing the synergy between AI capabilities and human expertise, you can guide stakeholders toward more realistic expectations and effective hybrid solutions.