The future will always be uncertain. No matter how much we plan, predict, or prepare, life has a way of surprising us. And, as AI continues to evolve, this uncertainty may feel even more pronounced. Why? Because, as you’ve read in these pages, AI brings the incredible potential for innovation, efficiency, and growth and introduces challenges and unknowns that can feel overwhelming, particularly for decision-makers.

This AI-generated uncertainty isn’t necessarily about fear; it’s about navigating a shifting landscape where the rules and possibilities are still being written. In addition to being responsible for guiding our work and home teams, our organizations and ourselves, we now must keep learning how to manage our AI tools. And AI is evolving more rapidly than many traditional technologies. It already often delivers too much of a good thing: endless options, dense data, and suggestions that range from insightful to irrelevant. 

Imagine standing at a buffet with hundreds of dishes. We aren’t facing a lack of options; we’re facing an overwhelming number of choices—and feeling pressure to pick the “right” one, and fear that the wrong choice means missing out on something better. AI, with its vast capacity to process and analyze, can feel like a buffet on steroids.

The problem is not that AI is unhelpful; it’s that, as you’ve seen, its helpfulness can lack focus and guidance. AI thrives on input—it takes what you give it and runs with it. If you’re unsure what you’re asking or what you need, AI will respond with a flood of possibilities that leaves you more confused than when you started. This can be especially challenging for people who are already feeling uncertain or stuck. Instead of clarity, they might end up with a longer to-do list and more questions than answers.

Consider Max deciding where to spend his next vacation. Asking AI for help, he gets a list of destinations, airline options, and local attractions, complete with ratings, reviews, and price comparisons. On paper, that sounds ideal. But in reality, Max quickly finds himself paralyzed by the sheer amount of information. What if he picks a less-than-perfect hotel? What if he overlooks a hidden gem? AI has handed him a mountain of data, but it hasn’t necessarily made the decision any easier.

This is where the human side of decision-making becomes essential again. The key is to approach AI not as a solution in itself but as a tool that works best with clear guidance. Instead of asking, “What’s the best option?”—a question that invites an avalanche of answers—I suggested to Max that it’s more helpful to start specific and targeted on the problem he wanted to solve: “What’s the best beach destination within a five-hour flight?” or “What hotels near the city center have great reviews for families?”

The truth is, AI isn’t overwhelming because it’s too smart; it’s overwhelming because it reveals the complexity of decision-making. We have a lifetime of working to simplify our own decision-making process (often to our detriment). Decision-making is complex. To navigate that complexity with AI, we need to understand what we truly want from the solutions we seek. Are we looking for the quickest answer, the most cost-effective option, or the choice that aligns most closely with our values?

Each step you take can either strengthen or weaken your problem-solving process, shaping the clarity and confidence behind your choices. The better you become at mastering these uniquely human steps—clarifying goals, setting priorities, and assessing trade-offs—the greater your agency over your decisions. This book guides you through the essential steps that, if overlooked, can make it more difficult for you to make the decision that’s truly right for you. 

Strengthening these foundational human elements and learning how to lead your AI tool enhances your thinking and work. This will ensure that critical aspects of decision-making, including problem definition, motivation, context, research, analysis, examining biases, engaging stakeholders, and building conviction remain central to your choices. These steps anchor us in what matters most, providing clarity and direction even as the AI tools we use to make decisions evolve.

When you thoughtfully pair your problem-solving skills with AI, decisions can become easier, faster, and more satisfying. As you refine your ability to collaborate with AI, your questions, prompts, and directions will become sharper and more precise. The result: answers that are not just manageable but also accurate and relevant, empowering you to move forward with confidence and purpose.

And that is a gift of working with AI: It encourages us to clarify what we really want. When we are able to frame our problems thoughtfully and focus on what truly matters, AI stops being a flood of possibilities and becomes exactly what it’s meant to be: a powerful tool that helps us make better decisions confidently.

From The Human Edge: Smarter Decisions in the Age of AI, by Cheryl Strauss Einhorn, a Cornell Publishing book published by Cornell University Press. Copyright (c) 2026 by CSE Publishing. Included by permission of the publisher.

Author(s)

  • Cheryl Strauss Einhorn is the creator of the AREA Method, a decision-making system for individuals, companies, and nonprofits to solve complex problems. Cheryl is the founder of the decision-sciences company Decisive, offering leadership training, curriculum, coaching, and professional development services, and is an adjunct professor at Cornell University. She is the author of the award-winning books Problem Solved about personal and professional decision-making and Investing in Financial Research about financial and investment decisions and Problem Solver, about the psychology of decision-making and Problem Solver Profiles. For more information, check out Cheryl's TED talk and visit areamethod.com.