If you’ve been trying to understand what artificial intelligence ( AI ) means for experienced workers, you’ve probably encountered versions of two very different stories.
One suggests AI is pushing older workers (and others) out of the workforce, often earlier than planned. Another finds employers placing greater value on judgment, leadership and institutional knowledge, attributes that come with experience, as AI becomes more deeply embedded in everyday work.
Which story is true? The most plausible answer, at least for now, is all of the above. We’re living through the messy middle of a workforce transition and the signals are not yet clear.
AI is changing work, but it is doing so unevenly across industries, occupations and organizations. Economic uncertainty, shifting business priorities and demographic change are reshaping hiring at the same time, making it difficult to separate AI’s impact from everything else happening in today’s labor market.
So let’s try to sort evidence from assumptions so we can get to what it all means for workers with experience and employers at this moment.
Yes, AI is disrupting some careers.
Recent research from the Boston College Center for Retirement Research found that workers over 55 in occupations with higher exposure to AI appear more likely to leave the workforce earlier than expected. It’s an important warning signal.
But the researchers are careful not to conclude that AI alone caused those departures. Companies are simultaneously responding to slower growth, restructuring, changing customer demand and economic uncertainty. AI may be accelerating some workforce changes, but it is not the only force at work. And in some cases it may be an easy way to explain decisions driven by broader business realities, not just AI.
The lesson in this and related reports is not that AI isn’t affecting jobs. It clearly is. But today’s headlines may oversimplify a much more complicated transition.
At the same time, experience is becoming more valuable.
While AI is automating more routine work, another trend is emerging. Oliver Wyman’s 2025 CEO research found that business leaders are shifting their attention from simply deploying AI to building organizations that can use it effectively.
Increasingly, CEOs say their competitive advantage depends not just on technology, but on people who can apply judgment, navigate ambiguity, solve complex problems and help others adapt.
Those aren’t technical skills. They’re human capabilities that tend to deepen with experience.
A similar signal appears at the highest levels of business. Recent research shows that the average age of newly hired CEOs has increased by roughly ten years over the past two decades. If experience was becoming less valuable, we’d expect to see the opposite. Instead, many organizations are seeking leaders with broader perspective and greater experience as the pace of change accelerates.
AI is changing what employers value.
The World Economic Forum’s Future of Jobs Report helps explain why these seemingly contradictory trends can exist at the same time.
AI and data literacy are among the fastest-growing technical skills employers seek. But the report’s list of the most important workplace capabilities is dominated by qualities that are distinctly human: analytical thinking, resilience, leadership, creative thinking, curiosity, technological literacy, empathy, systems thinking, and lifelong learning.
In other words, AI isn’t eliminating the need for people. It’s changing which people, and which capabilities, create the greatest value.
Many of these capabilities are precisely what experienced workers have spent years developing: making decisions with incomplete information, seeing patterns others miss, building trust, mentoring colleagues, understanding customers, and balancing competing priorities.
It’s important to acknowledge that experience alone is not enough. Experience that resists change quickly loses its value. But experience combined with curiosity, adaptability, and comfort using AI becomes a powerful competitive advantage.
What this means for experienced workers.
The worst response to AI is denial, or assuming that experience no longer matters. Neither is supported by the evidence.
The better approach is to combine experience with continuous learning. Get comfortable using AI as a practical tool. Learn how it can improve your productivity, creativity and decision-making. At the same time, emphasize the capabilities AI cannot easily replicate — judgment, communication, leadership, relationship-building, coaching, and the ability to solve real-world problems.
Your value lies not in competing with AI but in helping organizations use it wisely.
What this means for employers.
Employers face an equally important challenge. The organizations that gain the greatest advantage from AI won’t simply automate more tasks. They’ll redesign work to combine technology with human capability.
That means investing in AI skills across all age groups, not assuming experienced employees can’t or won’t adapt. It means recognizing that institutional knowledge, customer understanding, and sound judgment become more valuable, not less, when AI accelerates the pace of decision-making. And it means building multi-faceted, multigenerational teams where technical fluency and experience reinforce one another.
Too often, discussions about AI frame technology and experience as substitutes. The evidence suggests they are complements.
The companies that thrive won’t be those with the newest AI tools alone. They’ll be the ones that combine those tools with people who know how to ask better questions, interpret uncertain information, exercise good judgment, and lead through change.
That’s encouraging news for experienced workers. It’s an even more important lesson for employers. Because AI isn’t replacing experience. It’s changing why it matters.