Build beyond the job description.
“Just reskill. Go back to school. Get more education.” It sounds like a straightforward plan for navigating AI-driven change. But a new Dallas Fed study suggests that more education may not be an exit if it leads back to the same exposed field.
In “AI plays a role in weak labor market for college graduates,” published September 22, 2026, economists Samuel Dodini and Tucker Smith examined Texas public university education and earnings records. Their findings offer a useful reality check, especially for people in technology and other fields being reshaped by generative AI.
The lesson is not that education is useless, or that careers in technology are over. It is more specific: a new credential may not protect you if it deepens your expertise in a market whose demand is changing. Before investing more time and money, understand what the evidence says, and what choices it does and does not support.
What The Dallas Fed Study Found
The researchers estimated how exposed different college majors were to generative AI by connecting tasks across roughly 1,000 occupations to observed Claude usage, then linking occupations to fields of study requested in job postings. They used Lightcast postings from more than 220,000 job boards, with the major-to-job mapping based on postings from the first quarter of 2018 through the third quarter of 2022-before ChatGPT’s release.
Computer science, computer engineering and languages ranked among the more-exposed majors. Nursing, education and psychology were among the less-exposed.
After ChatGPT’s 2022 release, a 10-percentage-point higher share of automatable tasks was associated with a 1.7-percentage-point relative decline in the likelihood that a recent graduate found work in Texas within a year of graduating. Among graduates who did find Texas jobs, first-year earnings for more-exposed majors fell about 5% from 2021 to 2024 relative to less-exposed majors.
That is concerning, but it is not a forecast that every computer science graduate will struggle, nor proof that AI alone caused every change. It is evidence of a gap emerging between more- and less-exposed fields.
The Graduate-School Escape Hatch May Lead Back In
More exposed graduates were somewhat more likely to return to school. For May 2024 graduates, a 10-percentage-point increase in major exposure was associated with a 1.4-percentage-point increase in the likelihood of enrolling in graduate school within a year.
But many continued in the same field. Two-thirds of 2024 computer science graduates who returned to school chose a computer science graduate program. And recent labor-market entrants with master’s degrees in more-exposed fields experienced relative earnings declines similar to four-year graduates.
The authors’ conclusion is measured: returns to formal upskilling within AI-exposed fields may be limited. The diploma itself is not the issue. The question is whether the additional expertise complements AI and serves a market that still values it, or simply adds a higher-level credential to the same vulnerable path.
The students behind these graduates may be responding, too. Between fall 2024 and fall 2025, undergraduate enrollment in Texas four-year institutions declined by 4.8% for every 10-percentage-point difference in a major’s automatable-task share. That shift is a signal of changing expectations, not a verdict on any one student’s future.
Read The Findings Carefully
The study uses administrative data from Texas public universities and employment records for work in Texas. Its results are not a national estimate, and relative declines do not mean absolute collapse. The exposure measure captures what Claude can perform cost-effectively today; the tools, jobs and tasks will change.
The authors also note that additional education could pay when new expertise complements AI. New fields of study may emerge, and Texas students can enroll in AI-literacy courses covering AI model design and deployment. The key is to evaluate what a credential teaches and where it leads, rather than treating “more school” as a guaranteed hedge.
So far, the study highlights new labor-market entrants. The authors say layoffs and wage growth for prime-age workers (ages 25 to 54) in higher-automation-risk occupations will be important indicators to watch. That distinction offers some perspective, but also a reason to pay attention as the transition continues.
Ownership Changes The Question, Not The Risk
If the market is repricing certain job tasks, it is reasonable to consider alternatives to the employee track. A franchise owner is not selling tasks to an employer in quite the same way; they are operating a local business built around customers, a territory and a system.
That can offer a structured route out of the org chart. It is not an AI-proof refuge, an income guarantee or a shortcut around hard work. Automation can change a brand’s staffing needs, costs, customer experience and competitive position. Owners still face capital requirements and possible debt, local demand, hiring and retention, day-to-day execution, royalties and other fees, franchisor rules, territory terms, and technology subscriptions or required upgrades.
Before pursuing any franchise for sale, ask how the franchisor’s own business model and franchisee operations could change as technology advances. Then assess whether the opportunity fits your finances, skills, local market and risk tolerance. Lists of the best franchises to own can be a useful starting point for research, but the goal is not to find a mythical “best” option; it is to evaluate franchise opportunities against your actual circumstances.
How To Buy A Franchise With Evidence
Start with the FTC’s Consumer Guide to Buying a Franchise and read the entire Franchise Disclosure Document (FDD), not just the sales presentation. The FTC’s Franchise Rule Compliance Guide explains the disclosure framework. In general, franchisors must provide the FDD at least 14 calendar days before you sign a contract or pay the franchisor or an affiliate.
Use the FDD to investigate the specific questions that affect your decision:
- Items 5 and 7: Review initial fees and estimated startup investment. Build a realistic budget, including working capital and costs that may continue after opening.
- Item 11: Examine training, support and required computer systems. Ask directly about required AI or software spending, subscriptions, updates, hardware and the timing and cost of upgrades.
- Item 12: Understand territory protections and restrictions. Ask how the agreement treats online sales, customers in your area and sales through other channels.
- Item 19: Review any financial performance representations and their limits. Not every franchisor provides them; do not treat examples or verbal claims as a promise of your own results.
- Items 20 and 21: Study outlet openings, closures and ownership changes, then speak with both current and former franchisees. Ask about actual expenses, support, staffing, technology costs and what they wish they had known.
Hire an independent franchise attorney and a financial professional to review the documents and the assumptions behind your plan. The SBA Franchise Directory may help determine whether a brand is eligible for SBA financing, but listing is not an endorsement, approval or assurance of success.
A franchise consultant can help you compare business models and identify questions worth investigating, but cannot replace your independent review of the FDD, professional advice or conversations with franchisees. At FranLift, buyer services are free because franchise companies cover the cost as part of their marketing budgets. Learn why FranLift works with buyers and how the process works.
Start A Conversation With FranLift
More education may still be the right move. So may a career change, a different specialty or exploring business ownership. The evidence argues against assuming that another credential automatically opens a new door, especially if it leads back into the same market.
A conversation with a franchise consultant does not skip the homework. It helps you decide what homework is worth doing. If you want to explore ownership alongside other options, start a conversation with FranLift.
THERE IS NO GUARANTEED INCOME. Past results, where disclosed, do not guarantee future performance.
This article is for informational purposes only and is not financial or legal advice. Consult qualified independent professionals before making financial or legal decisions.
© 2026 FranLift. Launch Beyond Boundaries.
