Chattanooga is moving in the right direction on artificial intelligence (AI) skills. The harder question is whether employers will still provide a first rung for people to use those skills at work.
The Stanford Digital Economy Lab offers an early warning. In its July 2026 update, the lab found that workers ages 22 to 25 in the most AI-exposed occupations have shown noticeably weaker employment trends since the introduction of ChatGPT. The researchers also found a clearer negative relationship in occupations where AI use leans toward automation compared to where it leans toward augmentation. Stanford appropriately cautions that its low-latency payroll sample is not nationally representative and does not prove that AI caused the changes. Employers should still pay attention to the pattern.
Chattanooga is already investing in the skills side of this transition. The University of Tennessee at Chattanooga is offering two practical AI programs in September, including on AI essentials with prompting for broad workplace fluency and a security-focused AI certification course. The programs emphasize real-world applications, productivity and responsible use.
The region also has a model for the other half of the equation. Chattanooga State’s BlueHorizon apprenticeship lets students earn an associate degree in health sciences while working at BlueCross BlueShield of Tennessee. It treats work experience as part of education rather than something graduates must somehow acquire before an employer will hire them.
AI-exposed professional jobs need the same logic. A junior analyst can use AI to produce a first-pass operational review, then test the data, identify what the model missed and defend a recommendation to a manager. A new marketer can generate more campaign options while learning which claims fit customers and which create reputational risk. A beginning programmer can use generated code while being evaluated on security, reliability, testing and maintainability.
The goal should not be to preserve obsolete busywork. If software can complete a routine task in minutes, a company should capture that productivity. But the time saved should become a development budget for the junior employee. Managers can move beginners sooner into customer conversations, exception handling, quality checks and supervised decision-making.
This matters because experience remains one of the things employers value most. Tacit knowledge, pattern recognition and judgment develop through repeated exposure to real problems. If companies remove the tasks through which beginners used to gain that exposure without designing a replacement path, they eventually create their own experienced-worker shortage.
Chattanooga has a chance to make AI adoption a workforce advantage rather than a career bottleneck. UTC can help workers learn the technology. Chattanooga State demonstrates that paid learning can connect education to employment. Employers now need to redesign entry-level jobs around augmentation, not simply automate the first rung away.
A useful rule is simple: Every time a company automates a junior task, it should name the higher-value task that will replace it, the experienced person who will coach it and the skill the employee should gain.
That turns AI from a shortcut around young workers into a faster path for developing them.
Dr. Gleb Tsipursky, PhD. is a behavioral scientist and author of “The Psychology of AI Adoption at Work: From Resistance to Results.”
