While we cannot predict or comprehend all the ways in which AI will affect work and the humans who do it, we can analyze core job functions for clues. An underlying question is not whether a job sounds important or familiar, but whether its core tasks are repetitive, rules-based, and easy to systematize, or instead require judgment, relationship-building, and adaptability. Even those that are perceived to be endangered might find a shifting of core duties to complement advancements rather than elimination altogether (e.g., advancements in medical imaging complementing radiologists instead of replacing them).
Whatever AI ultimately does to the labor market, most institutions are not prepared for the disruption. The concern is not simply that some jobs may disappear, but that the transition will be uneven, fast-moving, and poorly managed by employers, policymakers, and workers alike. Even if the most extreme predictions do not come to pass, one cannot dismiss that large-scale changes in how work is performed can create instability long before the legal, educational, and business systems around them are ready to respond. Layoffs announced just last week at Meta and Microsoft are but two recent examples.
Business Takeaway: Employers do not need to predict the future of work, but we could start asking better questions. Which roles in your organization are built around repeatable tasks? Which depend on trust, discretion, training, or human interaction? And if certain functions are likely to change, do you have a plan for redesigning jobs, retraining employees, and communicating clearly about expectations? The practical risk here is not just technological change but being caught flat-footed when the change begins affecting hiring, retention, morale, and workforce planning all at once.