Mississippi Today Ideas is a platform for thoughtful ideas to be shared about our state’s past, present and future. Opinions expressed in guest essays are the author’s own and do not necessarily represent those of Mississippi Today. You can read more about the section here.
Mississippi has spent years debating how to keep talented young people from leaving or to stop the brain drain.
Artificial intelligence adds a new dimension to that challenge. The risk is not simply that technology changes jobs. It is that employers use AI to remove the beginner work that once gave young people a reason to stay, learn and build a career.
A revised Stanford Digital Economy Lab analysis released this month found that employment among workers ages 22–25 in highly AI-exposed occupations was about 19% below where it would have been if it had kept pace with similarly aged workers in less-exposed occupations. The comparable gap in the July 2025 data vintage was 15%, and reduced hiring of young workers appears to be a major channel of adjustment.
That finding gives Mississippi employers a practical warning. If AI drafts the first memo, summarizes the first spreadsheet, prepares the first customer response and researches the first market question, the organization may gain efficiency while quietly deleting the experiences that teach a beginner how the business actually works.
Mississippi Today Ideas was launched in part to surface constructive solutions to the state’s long-running brain-drain challenge. One solution belongs inside the workplace: make the first job more developmental, not less.
Gleb Tsipursky Credit: Courtesy photoEmployers should create a first-project guarantee for entry-level knowledge workers. Every new hire in an AI-exposed role should own at least one meaningful project within the first 90 days, with AI handling some routine preparation while an experienced employee coaches the judgment around it.
The project does not need to be glamorous.
A new employee at a bank might use AI to organize customer information, then be responsible for identifying inconsistencies, documenting what requires human review and explaining a recommendation. A healthcare administrator might use AI to summarize scheduling or billing patterns, then investigate exceptions and speak with the people affected. A junior marketer might receive an AI-generated first draft, then test claims, interview a customer and defend the final message to a manager.
The common element is ownership. Beginners learn when they are responsible for getting from an imperfect starting point to a defensible result.
That requires managers to resist an understandable temptation. When AI saves five hours, the easiest move is to fill those five hours with more output.
The smarter move is to invest some of that time in supervised judgment. Pair newer employees with experienced reviewers. Give them difficult exceptions. Ask them to explain why an AI output is wrong, incomplete or inappropriate. Make them communicate the final answer to a real colleague or customer.
Then measure the outcome that matters: time to independent competence. How long does it take a new employee to handle a recurring decision without close supervision? How many coached reviews were required? Which exceptions still trip people up? Which AI-assisted tasks actually accelerate learning?
These questions turn workforce development from a training-calendar exercise into a management system.
They also fit Mississippi’s economic needs. A state worried about losing young talent cannot afford to offer graduates only two choices: leave for experience elsewhere or stay home for a job stripped of the experiences that build a career. Employers need to create roles in which young people can see a path from beginner to trusted professional.
AI can help. It can remove tedious preparation, surface examples quickly and give employees more chances to practice. But that benefit appears only when leaders deliberately preserve the human learning loop around the technology.
Mississippi does not need to protect every old task. It needs to protect the pathway from novice to capable worker. The employers that do that will not merely keep pace with AI. They will give more young Mississippians a reason to build their future at home.
Named the “Office Whisperer” by The New York Times, Gleb Tsipursky helps tech-forward leaders stop overpaying for AI while boosting engagement and innovation as the CEO of Disaster Avoidance Experts. His eighth book, due out with Georgetown University Press this fall, is “The Psychology of AI Adoption at Work: From Resistance to Results.” Tsipursky earned his doctorate in the history of behavioral science at the University of North Carolina at Chapel Hill in 2011, his master’s at Harvard University and his undergraduate degree at New York University. A proud Ukrainian American, he lives in Columbus, Ohio. In his free time, he said he spends abundant quality time with his wife to avoid his personal life turning into a disaster. See his full bio.
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