Young employment in AI-exposed industries fell 12%. Quants and medicine still pay.

For a generation of Asian immigrant households, the career script was almost muscle memory: push math hard, land computer science, aim for a Big Tech offer, let RSUs fund the house and the remittance. That ladder still works for some seniors. For juniors, the bottom rung is wobbling. Census Bureau economist Lee Tucker, writing in a 2026 working paper, finds that employment for workers ages 22 to 24 in the most AI-exposed fifth of industry-state cells fell about 12 percent over the ten quarters after OpenAI released ChatGPT in late 2022. Fewer hires did most of the damage. People already on payroll were not the main story.

Those exposed industries cluster around software, information technology, and related professional services, the same destinations many CS programs were built to feed. Fortune, on September 17, reported a second Tucker analysis of graduates from the most AI-exposed decile of college majors: their odds of holding a job one quarter after graduation fell by five percentage points, and full-quarter initial earnings were about 13 percent lower. Roughly half of that earnings hit came from people who left those industries for lower-wage work such as retail and food service. The kitchen-table version is blunt. The default software path is no longer a near-automatic first job.

Students have noticed. Goldman Sachs economists, reading National Student Clearinghouse enrollment records, found computer science and computer programming each down more than 10 percent in the 2025-26 academic year, while healthcare and engineering majors rose about 3 percent on average. A Lumina Foundation-Gallup survey of current college students found about 42 percent of bachelor’s students had reconsidered their major because of AI. Asian households that once treated CS as the safest high-pay major are watching peers rethink in real time.

Calling engineering finished still overstates the talent data. SignalFire, a venture firm that tracks tech hiring, finds engineering hiring at a basket of Tech Majors down only about 11 percent from 2019, even as overall hiring at those firms fell about 25 percent. Software engineers now account for about 55 percent of that smaller hiring pie, up from 46 percent. What collapsed is the entry ramp: new-grad and entry-level hiring down roughly 65 percent versus 2019. SignalFire’s 2026 picture is a senior-heavy engineering core with the junior scaffolding stripped out. Levels.fyi, the site where tech workers share pay, shows U.S. software-engineer median total compensation still rising modestly in 2025, to about $226,000, while entry-level medians barely budged. Pay is concentrating upward. Getting in young is harder.

Other forces also squeeze young grads. The Federal Reserve Bank of New York’s college-labor tracker put recent-graduate unemployment near 5.6 percent and underemployment near 42 percent in the second quarter of 2026. A Liberty Street Economics note from the same Fed argued remote work, not generative AI alone, explains a large share of the post-pandemic rise in youth unemployment. Treat AI as one pressure among several. For diaspora parents, the household risk is the same: a child who followed the old CS script can face a thin first offer, a long search, or work that does not fund the remittance or the mortgage.

Generational’s view is a career portfolio. Keep senior and systems-heavy engineering in the mix if a student already has the aptitude. Then put real weight on two lanes that still clear high pay with structural demand: quantitative finance, and medicine.

Quants are the clearest successor for math-strong kids who might once have been steered only toward software. The CQF Institute, the research unit tied to Fitch Learning’s Certificate in Quantitative Finance, found compensation up across all six major quant paths between 2025 and 2026, about 3.5 percent in North America. Heads of trading reached as much as about $750,000 in total compensation on the report’s upper end. AI is raising the bar: about 6 in 10 professionals said AI had already expanded their responsibilities, and 76 percent said the skills gap had widened. Recruiter benchmarks for junior quant researchers at strong hedge funds and prop shops commonly sit in the mid-six figures, often above a standard Big Tech new-grad package, with bonuses that swing. The work still needs people who can model, code, and challenge machine output under market risk.

Asian talent already shows up heavily in that pipeline. Recruiting firm Solomon Page, working with data shop HFObserver, reviewed U.S. hedge-fund personnel moves in 2020-21 and found Asians were 55 percent of quantitative-analyst hires. Access at the junior quant desk is real. Leadership later is not automatic. The Association of Asian American Investment Managers has documented roughly 50 percent attrition for AAPIs from entry to senior roles across asset management. Families should treat quant as a high-ceiling lane that still rewards sponsorship and communication, not only contest-math prestige.

Medicine remains the evergreen household hedge. The Association of American Medical Colleges, which tracks the U.S. physician workforce, projects a shortage of between 13,500 and 86,000 doctors by 2036, including 20,200 to 40,400 in primary care. Medscape’s 2025 compensation survey put average 2024 physician pay near $374,000. The American Medical Group Association’s primary-care medians sit near $330,000. Asians already account for about 19.8 percent of active U.S. physicians in AAMC’s 2024 figures. Goldman’s major-risk ranking puts health fields among the least AI-exposed destinations. The tradeoffs belong in the same conversation: long training, debt, residency hours, and burnout. For a shorter runway, the Bureau of Labor Statistics puts nurse-practitioner and physician-assistant median pay near $129,000 to $133,000, with projected employment growth of about 40 percent and 20 percent through 2034.

Pew Research Center’s 2012 Rise of Asian Americans survey still helps explain why this hits so hard. Twenty-seven percent of U.S. Asians said success in a high-paying career was among the most important things in life, versus 9 percent of the general public. National Science Board Indicators show 38 percent of Asian workers in STEM occupations as of 2023, the highest share of any racial or ethnic group. The family machinery that filled software pipelines is still running. The labor market at the bottom of those pipelines changed.

A practical next step is three columns on one page: path, years to first solid paycheck, and what breaks the plan. For software, ask whether the student can aim at senior-track or AI-systems depth, and whether the household can survive a delayed first offer. For quants, ask about probability, programming, and bonus volatility. For medicine or advanced practice nursing, map tuition, training length, and parental support without treating prestige as a substitute for fit. Stress-test remittance and housing assumptions with the Family Support Budget Calculator if one income path slips. Keep RSU Vest Day Playbook for Diaspora Households beside any career rethink so vesting calendars do not vanish from the plan.

Engineering still pays at the senior end. The junior script many Asian families memorized is under real pressure. Quants and medicine are where pay and scarcity still line up behind a hard skill barrier. Treat the family career plan like a brokerage account: one path that rides technology, and at least one that still needs a licensed human in the room.

This is educational reporting on labor-market research and compensation surveys, not career, admissions, immigration, or investment advice. Individual outcomes depend on aptitude, credentials, visa status, and firm-level hiring that no national average can promise.