When I speak with prospective students about Brown’s Human-Centered AI course, the number one question I get is: will artificial intelligence (AI) take my job?
It is an important and increasingly urgent question. AI is already changing how work gets done, which tasks organizations value and what employees need to know. Though the research is evolving nearly as rapidly as the technology itself, several clear trends are emerging.
Insight #1: The fear is real. Leaders can’t ignore it.
These prospective learners are not alone in worrying about whether their jobs and careers are AI-resilient.
- 64% of U.S. adults think AI will lead to fewer jobs over the next 20 years. (Pew Research Center)
- 53% of Americans worry AI could put them or someone in their household out of work. (Reuters/Ipsos)
This is important for a few reasons. First, it provides insight into how our team, department and collaborators are likely feeling about AI as well. As leaders are charged with making our work more efficient, we may encounter significant resistance caused by this fear. Understanding and naming it is an important first step in adopting AI strategically, effectively and ethically.
Second, it shows that we are not alone. If you are reading this blog post with a mixture of trepidation and interest, you are in good company.
Insight #2 - Some cuts are happening. But growth is happening too!
Certain work is being delegated to AI, and humans are losing those jobs. What feels different about this technological shift is that AI is affecting not only routine work but also tasks long associated with highly educated professionals from writing and analysis to coding and research.
However, there is good news too. Net job growth outpaces job loss across the economy, even if different industries are feeling different levels and types of impact.
- 87,714, or 22% of jobs eliminated in January-May 2026 cited AI as a reason (Challenger, Gray, & Christmas)
- 34% of AI-adopting organizations report hiring growth and 23% report layoffs (Gallup)
- There is no discernible economy-wide employment disruption observed (Yale Budget Labs)
- 170-million new roles are expected to be created and 92-million to be displaced. (World Economic Forum)
Insight 3: Jobs are changing. AI fluency is becoming career resilience.
How do we capitalize on emerging opportunities and make ourselves more resilient to AI-related displacement? The answer, somewhat ironically, is to become fluent with AI tools.
However, the answer is not simply to become better at using AI. It is to become better at working with it, questioning it, deciding where it belongs and leading other people through that transition.
- 66% of employers plan to hire talent with AI-specific skills by 2030 (World Economic Forum).
- 51% of managers say AI training or upskilling will become a key responsibility for their teams within 5 years, and companies expect managers to train their teams (Microsoft)
- 80% said AI improved their performance at work (OECD).
As Baba Prasad, faculty lead of Brown’s Human-Centered AI course, said in a recent webinar, AI has knowledge, but it lacks wisdom. AI can generate, synthesize and analyze information at extraordinary speed. But humans remain responsible for evaluating whether its output is accurate, appropriate and useful in a specific context — and for making decisions that require judgment, empathy, values and accountability.
Bottom Line: Will AI take my job?
For some workers and some roles, AI-related displacement is already happening. But the evidence does not point to a future in which human contribution simply disappears. Instead, work is being reorganized around a changing division of labor between people and technology.
Though the workplace is changing rapidly and certain jobs are being streamlined, the research clearly points to the ongoing importance of humans to supervise a blended human-AI workforce and to interpret AI-driven output.
The goal, then, is not to make yourself “AI-proof.” In a workplace changing this quickly, there may be no such thing. The more durable strategy is to develop the skills that become more important as AI becomes more capable: judgment, adaptability, critical thinking, communication and the ability to determine where human and artificial intelligence each add the most value.
That requires more than knowing how to use the latest AI tool. It requires knowing how to lead in an AI-enabled workplace.