Artificial intelligence is rapidly reshaping the workforce. We are already seeing AI automate tasks, augment decision-making, and redefine how work gets done across industries. From customer service to software development to cybersecurity, the impact is real and accelerating. And with that impact comes a familiar debate:
Will AI take jobs, or will it create them?
The answer is often presented as reassuring:
“AI will create more jobs than it eliminates.”
At a macro level, that is likely true. At a micro level, it misses the point entirely!
The Macro Truth
History gives us a useful lens. Disruptive technologies have always reshaped the workforce. The industrial revolution, the rise of computing, and the advent of the Web all transformed industries, eliminated certain roles, and created entirely new ones.
AI is following a similar pattern, but at a much faster pace.
As I discuss in AI Strategy and Security: A Roadmap for Secure, Responsible, and Resilient AI Adoption, AI will disrupt most industries, enabling businesses to:
- Enter new markets
- Improve products and services
- Optimize operations
Organizations that effectively harness AI will gain a significant advantage. At a macro level, this typically results in:
- Increased productivity
- New business models
- The creation of new roles and career paths
I’ve seen this firsthand. The role I hold today did not exist a few years ago. So, when AI experts say that AI will likely lead to a net increase in jobs over time, they are not wrong. But they are also not answering the question most people are asking.
The Micro Reality
Most people are not thinking about the global labor market. They are thinking about their job.
- The role they perform today
- The career path they have invested in
- The skills they have spent years developing
When someone asks, “Will AI take jobs?” they are not asking about macroeconomic trends. They are asking:
“Will AI take my job?”
Responding to that question with a broad statement about net job creation is not just unhelpful; it is dismissive. Because at the micro level, the reality is clear:
Yes, many jobs will be lost.
Some roles will be automated.
Some skills will become less valuable.
Some career paths will fundamentally change.
And for the individuals impacted, that is not a theoretical discussion. It is personal.
Why This Distinction Matters
Failing to distinguish between macro and micro perspectives creates a credibility gap. When leaders and AI professionals rely solely on macro-level arguments, they risk:
- Losing trust with employees and stakeholders
- Underestimating workforce disruption
- Failing to prepare individuals for real change
Acknowledging the micro-level impact does not contradict the macro-level truth.
It completes it.
The Responsibility of AI Leaders
If we accept that AI will both create and eliminate jobs, then we also must accept a responsibility:
We must address the micro-level impact directly.
This means moving beyond general reassurance and toward actionable support. Organizations and leaders should focus on:
- Identifying roles most likely to be impacted
- Mapping adjacent skills and career pathways
- Investing in reskilling and upskilling programs
- Providing clear, realistic transition plans
This is about more than workforce management. It is about trust.
From Disruption to Transition
The organizations that navigate AI disruption successfully will not be the ones that simply adopt AI technology fastest. They will be the ones who manage the human impact most effectively. That means:
- Being honest about change
- Acknowledging uncertainty
- Supporting individuals through transition
AI is a workforce transformation.
Final Thought
At a macro level, AI will likely create more jobs than it eliminates.
At a micro level, that does not help someone whose role is changing or disappearing.
Both perspectives are true.
But only one addresses the concern people actually have. If we want to build trust in AI, we need to stop answering micro-level fears with macro-level arguments and start providing real, actionable paths forward.