AI, Identity Threat, and the Future of Professional Work

Why anxiety, disappearing entry-level roles, cognitive atrophy, and shifting workloads are emerging as the real workplace challenges of AI

Artificial intelligence has quickly become one of the most talked-about topics in the workplace.

And the concern is not theoretical. Some technology leaders and analysts are already warning that AI could eliminate up to half of entry-level white-collar jobs within the next one to five years, potentially reshaping how professional careers begin. (The Atlantic)

Yet for many professionals, what AI actually means for their work still feels vague or abstract.

Most people’s exposure comes through tools like ChatGPT, Claude, or Microsoft Copilot — systems that can answer questions, draft documents, or summarize information.

But those tools represent only one visible piece of a much larger shift already underway across organizations.

In reality, AI is not entirely new to the workplace. For years, companies have used forms of artificial intelligence behind the scenes to power things like:

• fraud detection in banking

• recommendation systems in retail

• logistics optimization in supply chains

• predictive analytics in healthcare and finance

• automated resume screening in recruiting

What is new is that AI systems are now moving beyond background automation and into the kinds of tasks historically performed by knowledge workers and professionals.

Artificial intelligence is increasingly capable of performing tasks that once required significant professional expertise. Today’s AI systems can assist with:

• drafting reports, emails, and technical documentation

• summarizing complex research, policy, or legal materials

• analyzing large datasets and generating insights

• producing marketing copy or strategic briefs

• generating software code

• supporting legal research and contract review

• assisting physicians and healthcare providers by generating clinical notes or summarizing patient records

In other words, AI is beginning to participate directly in the kinds of analytical, interpretive, and communication work that define many professional roles.

This shift creates real opportunities for organizations and their employees. Used thoughtfully, AI can help professionals process information faster, streamline routine tasks, and devote more time to higher-level judgment and decision-making.

At the same time, the way organizations introduce and integrate these tools will matter enormously.

If AI adoption is treated purely as a productivity initiative, organizations may overlook the broader human and structural implications of the technology. How work is distributed, how expertise develops, how careers progress, and how employees understand their professional value may all be affected.

For many workers, the future of their roles is suddenly less clear. Tasks that once defined professional expertise are now being partially automated, while expectations around productivity and output continue to evolve. This ambiguity is already creating a significant degree of anxiety across many sectors of the workforce.

AI, in other words, is not simply another workplace tool.

It represents a deeper shift in how professional work gets done — one that organizations and leaders will need to navigate deliberately if they want both the technology and the people using it to succeed.

Understanding how AI is entering the workplace helps explain why several concerns are now beginning to surface across research reports and workplace surveys.

AI is no longer just a tool in the workplace — it is beginning to participate directly in the kinds of thinking, analysis, and communication work that once defined professional expertise.

Emerging Concerns as AI Enters Professional Work

1. Entry-Level Pathways May Be Shrinking

One of the clearest concerns involves early-career professional roles.

In fields like law, finance, consulting, research, and journalism, junior employees have traditionally developed expertise by conducting research, drafting documents, and synthesizing information. Those are also the kinds of tasks generative AI can now perform quickly.

Reporting in The Atlantic notes that some technology leaders believe AI could eliminate as much as half of entry-level white-collar work within the next several years, raising serious questions about how future professionals will gain experience if the traditional first rung of the career ladder begins to disappear.

Research examining real-world AI usage patterns has also found that high-income, highly educated knowledge workers may be among the groups most exposed to AI disruption, challenging earlier assumptions that automation would primarily threaten blue-collar labor.

When entry-level roles shrink, organizations don’t just lose jobs — they lose the training ground where expertise is built.

2. AI Anxiety Is Changing Workplace Behavior

The concern is not only job loss itself, but what fear of displacement is already doing inside organizations.

One example is knowledge hoarding.

A workplace survey reported that 35% of knowledge workers admit to withholding skills or information in order to protect their job security, while 40% of Gen Z workers report anxiety related to AI and employment security.

When employees begin protecting knowledge rather than sharing it, organizations face a serious challenge. The very collaboration needed to adapt to technological change can start to erode.

3. Workers Are Feeling Both Excited and Threatened

Employee attitudes toward AI are far from uniformly negative.

Many workers report feeling both energized by productivity gains and anxious about long-term job security at the same time. Surveys show a workforce simultaneously intrigued by the efficiency AI offers and unsettled by what it may mean for their roles.

For leaders, that emotional tension can make workforce reactions difficult to interpret.

4. Productivity Gains May Come With Workload Creep

AI does not always eliminate work; sometimes it reshapes it.

Employees may spend less time producing first drafts but more time reviewing, correcting, and managing AI-generated outputs. In some organizations, the result is not reduced effort but rising expectations for speed and output.

In other words, AI can sometimes produce workload creep rather than workload reduction, particularly when organizations adopt the technology primarily as a productivity tool.

5. AI Can Trigger Professional Identity Threat

For many professionals, the deepest concern is not simply efficiency or job security.

It is identity threat according to Harvard Business Review (2026).

Work is closely tied to competence, status, autonomy, and meaning. When tools begin performing tasks that once signaled expertise, people may begin to question what makes their own contributions valuable.

Emerging research on AI and the psychology of work suggests that generative AI can threaten workers’ sense of competence and professional identity, particularly when employees feel their expertise is being replaced or devalued.

6. Concerns About Cognitive Atrophy

Another emerging concern is cognitive atrophy.

As AI systems increasingly summarize information, draft analysis, and generate ideas, professionals may engage less frequently in the deeper thinking that builds expertise — critical analysis, synthesis, and complex problem-solving.

Researchers studying job replacement anxiety (JRA) note that these shifts may affect both engagement and the development of professional expertise over time.

The deeper question many professionals are quietly asking is not just “Will AI change my job?” but “What happens to my professional identity if the work that defined it is no longer mine alone?”

What This Suggests

Taken together, these concerns suggest that AI is not simply a technology rollout.

It is a workforce transition.

It affects how careers begin, how expertise develops, how knowledge is shared, and how professionals understand their own value inside organizations.

Next week, I will explore what leaders and organizations can do to navigate these changes more deliberately — and how professionals can remain adaptive as AI becomes a more central part of the workplace.