The headlines warn AI will take your job, or already has. The reality is rarely that simple, and the research tells a more complex story.
We spent time reviewing four 2026 reports by Oxford Economics, The Hamilton Project at Brookings, the World Economic Forum, and Harvard Business Review to better understand what's happening.
Everyone should be paying attention and evaluating their position in an AI-augmented world, but it's probably not time to panic quite yet.
Read time: 3 min.
The Numbers Don't Support the Excitement
Let's start by bringing down the hype a notch or two.
Oxford Economics' January 2026 briefing says AI-related job losses accounted for 4.5% of total U.S. job losses in the first eleven months of 2025, or roughly about 55,000 jobs. Yet, 245,000 jobs were lost to "market and economic conditions" in the same period, indicating a tough time for businesses overall.
Oxford Economics also notes that blaming AI for job losses allows companies to avoid admitting to investors that demand is weak or that they overhired in the past.
What About Graduate Unemployment?
One of the most popular narratives surrounding AI and the job market is the tremendous impact on entry-level jobs, as reflected in rising graduate unemployment. But again, not so fast.
Oxford Economics shows that graduate unemployment rises faster than overall unemployment when the labor market softens. A softening labor market occurs when the market loses momentum across nearly every front — fewer hires, slower wage gains, and rising unemployment. That means we would already expect graduate unemployment rates to be high. This is a phenomenon history has shown us many times, well before the world first heard of ChatGPT.
The Hamilton Project found that research on AI's labor market impact is still inconclusive. Early studies yield conflicting results depending on the measures used, and employment trends may reflect other factors, such as interest rates or post-pandemic corrections, rather than AI itself. Current findings are weak signals since AI is evolving rapidly, and past tech revolutions took years to show up in economic data. A fuller picture requires broader research beyond just labor demand, including productivity, labor supply, and how smoothly workers transition through disruption.
Let's Talk Productivity
If companies were replacing many workers with AI, productivity should be spiking, but it isn't.
Productivity depends on business output and the number of hours worked. Oxford Economics reports that since the emergence of generative AI, productivity in advanced economies has been flat or volatile. Since productivity would theoretically increase due to an upward trend in production powered by fewer people, this suggests that the use of AI in most businesses has yet to make a significant impact.
But buyer beware. The literature also notes that the advent of AI is accelerating, so productivity could change quickly as more firms adopt and deploy AI systems.
Something Is Changing
None of this means AI isn't causing change. Nor does it mean you shouldn't be concerned.
Harvard Business Review profiles Salesforce's use of AI agents across sales. One team jumped from 150 meetings in 30 days to over 350 in one week. That's huge! Human salespeople kept their jobs, but their roles shifted. Instead of cold-calling, they focused on human skills such as persuasion and creative problem-solving. The machines did monotonous work; humans handled tasks computers couldn't.
We hope the trend of retraining and reassigning workers continues across industries, but there will likely be significant disruption at some point, particularly for workers whose roles can be automated.
There's Still Every Reason to Pay Attention
The Harvard Business Review article highlights "agent managers" at Salesforce, Walmart, and JPMorgan Chase. These are people who manage teams of computers instead of people.
The benefit for aspiring agent managers is that they don't typically come from a tech background. Top agent managers came from areas such as operations and customer experience. That may be good news if you skipped computer science in college, but these leaders still possess hybrid skills to excel in these roles. They have the technical aptitude and a broad systems-based mindset to thrive at the intersection of machine performance and human judgment.
So in this situation, the agent manager is probably doing ok. However, corporations optimize their bottom line for shareholders, which could mean reducing overall headcount. That's not good news for the team of people who would otherwise perform the work being carried out by computers.
Things to Keep in Mind
Stay aware of the changing landscape. Talk with people in your organization about changes happening or under discussion. Pay attention to what project teams are doing. Build new skills if your role could change or be automated. Ask if AI might replace parts of your job.
Develop skills unique to humans, such as relationship-building and persuasion. Look for ways to improve them and apply them to create value within your organization.
Be curious and brave. Using AI requires experimentation to drive innovation. Stepping out of your comfort zone could help you earn that promotion.
Be skeptical of simple one-sided narratives about what AI is doing to the workforce. A lot of people want to be on one extreme or the other, but the answer is likely somewhere in the middle. Don't forget, new things will emerge in the future that we don't yet know to factor into the equation.
In Conclusion
The future of work is about technology, but that's not the full story. It's also about adaptation, because those who embrace change are the ones who survive. And adaptation requires curiosity, along with the courage to try something new. Benefits will stem from radical self-awareness, which helps us see aspects of ourselves we often take for granted. So before you go to bed tonight, spend time thinking about what makes you human, and consider how you can land those qualities on your next performance evaluation.
-Micah Williamson
Further Reading
B. May and Y. Badawy, "Evidence of an AI-driven shakeup of job markets is patchy," Oxford Economics, Jan. 7, 2026. https://www.oxfordeconomics.com/resource/evidence-of-an-ai-driven-shakeup-of-job-markets-is-patchy/
J. Kolko, "Research on AI and the labor market is still in the first inning," The Hamilton Project, Brookings Institution, Mar. 10, 2026. https://www.hamiltonproject.org/publication/post/research-on-ai-and-the-labor-market-is-still-in-the-first-inning/
M. Black, "AI is becoming your new work colleague. But let's not forget the human ones." World Economic Forum, Jan. 19, 2026. https://www.weforum.org/stories/2026/01/ai-agentic-workplace-human-resources/
S. Srinivasan and V. Wei, "To thrive in the AI era, companies need agent managers," Harvard Business Review, Feb. 12, 2026. https://hbr.org/2026/02/to-thrive-in-the-ai-era-companies-need-agent-managers