Recently, someone sharpened the question, “Will the robots take my job?” with this variation: “Will AI eliminate entire levels of work, such as entry-level jobs or management positions?” I did some digging and here’s what I found.
Entry level and manager describe where people are in an organization. They tell us very little about what those people spend their days doing. AI is more likely to replace tasks built around moving, retrieving, formatting, summarizing, and generating information according to predictable rules. The International Labour Organization has found that clerical occupations remain the most vulnerable to generative AI, although most affected jobs are more likely to be transformed than fully automated. So, what does this look like in real life?
Shrinking Before They Disappear
Your organization probably won’t replace an entire department with a chatbot, but they probably will combine two positions. One of your coworkers may resign and not be replaced. A manager who once supervised eight specialists may start supervising four generalists. In the World Economic Forum’s 2025 survey, 40 percent of employers said they expected to reduce their workforce where AI could automate tasks. Clerical roles were among those expected to decline fastest.
Think about the layers between a manager’s decision and the final result. For example, a manager approves a new employee orientation. Someone schedules the meetings, copies information into several systems, prepares a checklist, sends reminders, answers routine questions, records attendance, and summarizes feedback. AI can now handle much of that coordination. The manager still decides what employees need to learn. Someone still owns the outcome. Fewer people may be needed to move the information from Point A to Point B.
Work AI Does Well
AI is especially useful when information arrives in a standard form and follows a predictable path. It can pull details from invoices and enter them into a database. It can turn meeting transcripts into summaries and task lists. It can sort applications, identify missing fields, retrieve documents, draft routine responses, and update records.
Work You Do Well
Consider your workday. How much time do you spend copying information from an email into a spreadsheet? How often do you search through folders for a document someone requested? Do you prepare reports by collecting updates from several people and placing them into the same template every Friday? Each task may take only a few minutes. Together, they may represent a large part of your role. A job becomes vulnerable when most of the work is digital, repetitive, rules-based, easy to measure for speed and accuracy, and completed through standard documents or predictable conversations.
An entry-level employee who spends the day building trusted client relationships may have a more secure job than a vice president who mainly gathers updates, reformats reports, and forwards information.
The Skills That Become More Valuable
Jobs involving responsibility for what happens next are usually more secure. Someone has to decide whether a frustrated customer needs a refund or a phone call. Someone must persuade three departments to support a change they did not request. Someone needs to recognize that the numbers in a polished AI-generated report do not match what employees are seeing in the field.
Trust, accountability, persuasion, judgment, relationship-building, and organizational knowledge (Power Skills!) remain hard to automate because they depend on context. They also carry consequences.
You don’t have to be a charismatic visionary walking into every meeting with perfect answers. Thank goodness. I’m still learning how to decide when AI is improving my work and when it’s just creating more work faster.
How to Protect Your Employability
- Start by studying your job at the task level. For one week, keep a list of what you do. Mark each task as predictable or judgment-based.
- Look for work that involves copying, scheduling, searching, summarizing, formatting, or answering the same question repeatedly. Learn how AI could handle some of those tasks.
- Think about decisions and outcomes. Instead of only preparing the weekly report, learn why leaders use it. Identify which numbers matter, what action they trigger, and what important context your template misses.
- Build stronger relationships across your organization. Learn how work moves between departments. Become the person who knows whom to call, which questions to ask, and where a seemingly simple request tends to get stuck.
- Practice explaining your value in terms of results. “I prepare the monthly dashboard” describes a task. “I help the team spot stalled projects before they miss deadlines” describes an outcome.
AI is taking over more of the work we use to prove we’re busy. Your best strategy is to learn to work beside AI while developing the judgment, trust, and accountability necessary so someone will place an important outcome in your hands.
How are you AI-proofing your role? Please share in the comments.