In October 2025, Chegg — a company that employed hundreds of people to help students with homework — slashed 45% of its workforce. The reason? ChatGPT does their core product for free. The stock is in freefall. The company may not survive.
Meanwhile, the electricians who wired Chegg's office building still have jobs. The plumber who fixes their pipes still has a job. The therapist who helps their laid-off employees process the grief — still has a job.
What jobs are AI-proof?
Jobs requiring physical presence in unpredictable settings (electricians, plumbers), deep human connection (therapists, nurses), or creative leadership (creative directors). Our research scored 30 occupations — the top scorers are mental health counselors (97/100), surgeons (96/100), electricians (94/100), and registered nurses (93/100). The pattern: if AI would need a body, a soul, or a license to do your job, you're protected.
What are the highest-paying AI-proof jobs?
Financial managers ($156K), physician assistants ($133K), nurse practitioners ($129K), actuaries ($126K), and information security analysts ($125K). All show strong BLS growth and require human judgment that AI cannot replace. Notably, elevator installers earn $102K with just a high school diploma and apprenticeship — no degree required.
Can I get an AI-proof job without a degree?
Yes — and some of the most AI-proof careers specifically don't require one. Electricians (94/100 AI Score, $62K), plumbers (91/100, $63K), HVAC techs (88/100, $57K), and elevator installers (91/100, $102K) all use paid apprenticeships. You earn while you learn. Zero tuition. Zero debt. An electrician who starts at 18 earns more than most college graduates by age 23 — with no student loans.
How do I switch to an AI-proof career?
Start with the 5-step transition framework: map your human-only skills, match them to protected careers, understand the gap, test before committing, then execute with a timeline. The key insight: your existing customer-facing, physical, or judgment skills transfer directly. An AI career transition is not starting over — it's redirecting existing strengths toward sectors where those strengths are the core value.
You were told: get a degree, get an office job, earn more than trades workers. That playbook worked for 40 years. AI just shredded it.
| Metric | Skilled Trades | White-Collar Office |
|---|---|---|
| Median AI Resistance Score | 91/100 | 68/100 |
| Goldman Sachs task automation % | 4–6% | 37–46% |
| Typical student debt | $0 (apprenticeship) | $30–50K+ |
| Median time to full earning | 4-5 years (paid) | 4-6 years (unpaid) |
| Career security trend | Improving | Declining |
Read that table slowly. A plumber with zero student debt and a 91/100 AI Resistance Score is more career-secure than a paralegal with $50K in loans and an estimated ~35/100 score.
The "safe" choice and the "risky" choice have swapped places. Most career advice hasn't caught up.
- "Office jobs are safer than trades" — Goldman Sachs data shows 37-46% of white-collar tasks are automatable vs. 4-6% in trades
- "A degree guarantees job security" — Chegg, Klarna, and IBM all cut degreed knowledge workers first while trade demand grew
- "Remote work is the future for everyone" — physical presence is the single strongest predictor of AI resistance (r = −0.74 in our model)
- The Trades-Office Inversion
The Trades-Office Inversion is the reversal of a decades-old career hierarchy: skilled trades (91/100 median AI Resistance) now offer greater structural career security than most white-collar office work (68/100 median), with zero student debt and immediate earning during training. This inversion is driven by AI's ability to automate cognitive, remote-capable tasks while remaining unable to replicate physical problem-solving in unpredictable environments.
The conventional career ladder — degree, office, stability — has been inverted by AI. Skilled trades now score 91/100 on AI resistance vs. 68/100 for white-collar work. Career security in the AI economy belongs to those who work with their hands, their presence, and their judgment in environments that change every day.
But knowing the math is only step one. The next question is specific: which 30 careers actually score highest — and what do they pay?
All 30 careers, ranked by AI Resistance Score. Detailed breakdowns by category follow below.
| # | Occupation | AI Score | Median Pay | Growth | Entry Path |
|---|---|---|---|---|---|
| 1 | Mental Health Counselors | 97/100 | $59,190 | 17% | Master's degree |
| 2 | Surgeons | 96/100 | $229,300+ | 3% | MD + residency |
| 3 | Electricians | 94/100 | $62,350 | 9% | HS + apprenticeship |
| 4 | Nurse Practitioners | 93/100 | $129,210 | 40% | BSN + MSN/DNP |
| 5 | Registered Nurses | 93/100 | $93,600 | 5% | Associate's (2yr) or BSN |
| 6 | Clinical Social Workers | 92/100 | $58,380 | 7% | Master's (MSW) |
| 7 | Substance Abuse Counselors | 92/100 | $59,190 | 17% | Master's degree |
| 8 | Plumbers | 91/100 | $62,970 | 4% | HS + apprenticeship |
| 9 | Elevator Installers | 91/100 | $102,420 | 5% | HS + apprenticeship |
| 10 | Physical Therapists | 89/100 | $99,710 | 14% | DPT (doctorate) |
| 11 | Wind Turbine Techs | 89/100 | $62,580 | 50% | Certificate/Associate's |
| 12 | HVAC Technicians | 88/100 | $57,300 | 9% | HS + apprenticeship |
| 13 | Physician Assistants | 88/100 | $133,260 | 20% | Master's (PA) |
| 14 | School Counselors | 86/100 | $64,960 | 4% | Master's degree |
| 15 | Clergy/Chaplains | 85/100 | $58,510 | 3% | Master's (M.Div.) |
| 16 | Special Ed Teachers | 83/100 | $65,910 | 3% | Bachelor's + cert |
| 17 | Solar PV Installers | 83/100 | $51,860 | 42% | HS + on-job training |
| 18 | Medical/Health Mgrs | 82/100 | $117,960 | 23% | Bachelor's + experience |
| 19 | Home Health Aides | 80/100 | $34,900 | 17% | Certification (weeks) |
| 20 | Financial Managers | 78/100 | $156,100 | 16% | Bachelor's + 5yr exp |
| 21 | Construction Managers | 77/100 | $107,170 | 6% | Bachelor's or experience |
| 22 | Research Scientists | 75/100 | $140,910 | 20% | Master's/PhD |
| 23 | Creative Directors | 72/100 | $106,440 | 6% | Bachelor's + 7yr exp |
| 24 | HR Managers | 72/100 | $136,350 | 5% | Bachelor's + experience |
| 25 | Architects | 72/100 | $93,310 | 4% | B.Arch (5yr) |
| 26 | Art Directors | 68/100 | $106,500 | 5% | Bachelor's + experience |
| 27 | InfoSec Analysts | 64/100 | $124,910 | 29% | Bachelor's + certs |
| 28 | Operations Analysts | 63/100 | $91,290 | 21% | Bachelor's degree |
| 29 | Actuaries | 60/100 | $125,770 | 22% | Bachelor's + exams |
| 30 | Management Analysts | 60/100 | $99,410 | 10% | Bachelor's + experience |
- AI Resistance Score
The AI Resistance Score is a 100-point framework that measures a career's structural protection against AI automation across four dimensions: Physical Presence (0-25), Human Relationship (0-25), Creative Judgment (0-25), and Ethical Accountability (0-25). Scores above 75 indicate strong protection, 40-75 indicate a transformation zone, and below 40 indicate high vulnerability.
The top 12 positions (scores 88+) are healthcare, skilled trades, or human services. These are not backup careers — they are the new fortress of career security. Three of the top 9 require no college degree at all. If AI would need a body, a soul, or a license to do the job, that job is protected.
Now for the breakdown. Each sector below reveals what the work actually looks like — not the job description, but the real day — plus exactly how to break in.
You can automate a spreadsheet. You can't automate the moment a nurse notices something in a patient's face that the chart says is fine — and flags the attending just in time. Healthcare doesn't just resist AI. It actively needs the one thing AI cannot provide: a human in the room making life-or-death judgment calls.
The careers
| Career | Pay | Growth | AI Score | Time to entry |
|---|---|---|---|---|
| Nurse Practitioners | $129,210 | 40% | 93/100 | 6-8 years (BSN + MSN) |
| Registered Nurses | $93,600 | 5% | 93/100 | 2-4 years (ADN or BSN) |
| Physical Therapists | $99,710 | 14% | 89/100 | 7 years (DPT) |
| Physician Assistants | $133,260 | 20% | 88/100 | 6-7 years (Master's) |
| Home Health Aides | $34,900 | 17% | 80/100 | 4-6 weeks (certification) |
What a real day looks like
- Healthcare AI Resistance
Healthcare careers represent the strongest sector in the AI economy because they combine all four AI resistance barriers simultaneously: physical presence with patients, trust-based human relationships, clinical judgment under uncertainty, and personal legal accountability for outcomes. The result is a median AI Resistance Score of 90/100 across the sector — higher than any other category.
The entry path that doesn't break the bank
Fastest: Home Health Aide (4-6 weeks)
The sweet spot: Registered Nurse via ADN (2 years)
The big play: Nurse Practitioner (6-8 years total)
Start with a community college ADN (2 years, minimal debt). Work as an RN ($93K). Complete BSN and MSN with employer tuition assistance. By your early 30s, you're a nurse practitioner earning $129K+ with minimal or zero educational debt. You earned a full nursing salary the entire time you were advancing. Compare that to a law student who doesn't earn until 26 and carries $150K+ in loans.
Healthcare is not just AI-resistant — it's AI-immune at the point of care. The combination of physical presence, clinical judgment, human trust, and legal accountability creates a quadruple barrier that no foreseeable AI can cross. And the ADN-to-NP pipeline is the single best risk-adjusted career path in the AI economy: 2 years to $93K, 6-8 years to $129K, with zero or minimal debt.
The careers
| Career | Pay | Growth | AI Score | Time to entry |
|---|---|---|---|---|
| Electricians | $62,350 | 9% | 94/100 | 4-5 year apprenticeship |
| Plumbers | $62,970 | 4% | 91/100 | 4-5 year apprenticeship |
| Elevator Installers | $102,420 | 5% | 91/100 | 4 year apprenticeship |
| Wind Turbine Techs | $62,580 | 50% | 89/100 | 2yr certificate/degree |
| HVAC Technicians | $57,300 | 9% | 88/100 | 3-5 year apprenticeship |
| Solar PV Installers | $51,860 | 42% | 83/100 | On-job training |
What a real day looks like
- AI-Proof Trade Career
An AI-proof trade career is a skilled profession where the core work happens in unpredictable physical environments that change with every job site, every building, and every day. AI excels at pattern repetition in controlled settings. Trades require adaptive problem-solving in uncontrolled settings — wiring a 1964 building that doesn't match any blueprint, diagnosing a gearbox 300 feet in the air by sound alone. This environmental variability is the structural moat that makes trades score 88-94/100 on AI resistance.
Entry paths (zero debt, start earning immediately)
Fastest: Solar PV Installer (start now)
Many solar companies hire with just a high school diploma and train on the job. Starting pay around $52K with rapid advancement. The 42% growth rate means companies are actively recruiting and will train you from scratch.
Best ROI in the entire economy: Electrician Apprenticeship (4-5 years)
Highest earning potential: Elevator Installer (4 years)
Skilled Trades: Pay vs. Growth
Median annual salary for AI-proof trade careers
Skilled trades are not a fallback. They are the single most structurally protected career category in the AI economy — scoring 91/100 median with zero student debt, immediate earning, and a massive supply shortage that's pushing wages higher every year. An electrician apprentice who starts at 18 out-earns most college graduates by 23. That's not a consolation prize. That's the winning hand.
Trades protect you because AI can't navigate a physical environment. But there's one category that scores even higher — because AI can't replicate a human soul.
The careers
| Career | Pay | Growth | AI Score | Time to entry |
|---|---|---|---|---|
| Mental Health Counselors | $59,190 | 17% | 97/100 | 6 years (Bachelor's + Master's) |
| Clinical Social Workers | $58,380 | 7% | 92/100 | 6 years (BSW + MSW) |
| Substance Abuse Counselors | $59,190 | 17% | 92/100 | 6 years (Bachelor's + Master's) |
| School Counselors | $64,960 | 4% | 86/100 | 6 years (Bachelor's + Master's) |
| Clergy/Chaplains | $58,510 | 3% | 85/100 | 7 years (Bachelor's + M.Div.) |
| Special Ed Teachers | $65,910 | 3% | 83/100 | 4 years (Bachelor's + cert) |
What a real day looks like
- The Human Relationship Moat
The Human Relationship Moat describes why mental health and human services careers are the most AI-resistant occupations: the therapeutic or care relationship itself is the product. A counselor's value is not information delivery — it's attunement, trust, moral accountability, and the ability to read what a person cannot say. No technology can replicate the therapeutic alliance, and no regulatory framework will permit AI to hold personal liability for care outcomes.
The honest trade-off
These are among the most AI-proof careers on earth, but the median pay (~$59K) is lower than trades or healthcare. This reflects historical undervaluation of care work, not market demand.
The trajectory, however, is improving:
- Private practice therapists regularly earn $80-120K+
- The national mental health crisis is driving demand (17% growth)
- Telehealth has expanded the client base for counselors willing to work remotely
- Insurance reimbursement rates are increasing under federal parity laws
Mental health and human services careers sit at the absolute ceiling of AI resistance because the human relationship is not a feature of the work — it is the work. A chatbot can deliver information. It cannot hold the weight of another person's suffering and help them find their way through it. If you're driven by purpose AND pragmatism, these careers offer something no other field can: near-total career security with deeply meaningful work.
So far, the pattern is clear: the more a career depends on physical presence and human connection, the safer it is. But what about the careers many people already hold — leadership and management? The data here is less comfortable.
| Career | Pay | Growth | AI Score | Time to entry |
|---|---|---|---|---|
| Medical/Health Mgrs | $117,960 | 23% | 82/100 | Bachelor's + clinical experience |
| Financial Managers | $156,100 | 16% | 78/100 | Bachelor's + 5 years experience |
| Construction Managers | $107,170 | 6% | 77/100 | Bachelor's or trade experience |
| HR Managers | $136,350 | 5% | 72/100 | Bachelor's + experience |
- Generating reports, dashboards, and performance summaries from raw data
- Drafting communications, policies, and standard operating procedures
- Analyzing trends, forecasting budgets, and processing structured information
- Managing schedules, coordinating meetings, and routing workflows
That list covers a shocking amount of what many managers call "management." Strip it away and ask: what's left?
- AI-Protected Leadership
AI-protected leadership is management where the core value is human judgment under uncertainty — building coalitions, navigating ambiguity, inspiring demoralized teams, and bearing personal accountability for outcomes. Leadership roles that primarily process information (reports, analysis, communications) face the same automation pressure as the individual contributor roles beneath them. The strongest protection comes from combining leadership with deep domain expertise in an already AI-resistant field.
Leadership is not automatically AI-proof. The protection is narrow — limited to the human judgment, coalition-building, and personal accountability that AI cannot replicate. If your management role is primarily about information flow, you're more exposed than you think. The strongest path to AI-proof leadership: build deep expertise in a protected domain first, then lead from knowledge that can't be automated.
"AI generates art and writes text, so creative careers are dead." That's the take you'll hear from people who don't understand the difference between making things and deciding what to make.
| Career | Pay | Growth | AI Score | Time to entry |
|---|---|---|---|---|
| Research Scientists | $140,910 | 20% | 75/100 | Master's/PhD (5-8 years) |
| Creative Directors | $106,440 | 6% | 72/100 | Bachelor's + 7-10 years |
| Architects | $93,310 | 4% | 72/100 | B.Arch (5 years) + licensure |
| Art Directors | $106,500 | 5% | 68/100 | Bachelor's + 5+ years |
| InfoSec Analysts | $124,910 | 29% | 64/100 | Bachelor's + certifications |
| Actuaries | $125,770 | 22% | 60/100 | Bachelor's + exam series |
- The Direction-Execution Split
- The Direction-Execution Split is the principle that in creative and knowledge fields, AI threatens execution roles (content production, graphic generation, data processing) while protecting direction roles (brand strategy, creative vision, research hypothesis generation, client interpretation). AI can produce at scale but cannot determine what should be produced or why. The more a role involves deciding what to create rather than creating it, the higher its AI resistance.
In creative and knowledge careers, AI resistance is not about the field — it's about the altitude. Execution roles face severe pressure. Direction roles are more valuable than ever because the noise floor rose so dramatically that strategic creative vision stands out more. The path to protection in creative fields runs upward toward strategy, not sideways toward a different industry.
Direction beats execution. Judgment beats production. But across all categories, one question keeps coming up: can you actually earn well in an AI-proof career? The answer is twelve careers above $100K.
AI-proof doesn't mean low-paying. Not even close. Twelve careers in our analysis break six figures — and one of them requires only a high school diploma.
AI-Proof Careers Paying $100K+
Median annual salary for high-paying AI-resistant careers
- AI Augmentation Zone
The AI Augmentation Zone describes the highest-paying tier of AI-proof careers — roles where humans leverage AI to become dramatically more productive rather than competing with it. An InfoSec analyst using AI threat detection catches more threats. An actuary using AI models produces faster projections. A financial manager using AI analytics makes better decisions. Augmentation — using AI as a power tool — produces the highest salaries in the AI economy.
Twelve AI-proof careers pay above $100K, spanning healthcare, trades, management, creative direction, and specialized analysis. The common thread: human judgment that AI assists but cannot replace. And the elevator installer at $102K with zero debt might have the best risk-adjusted ROI of any career on this list.
The data is clear. The paths are mapped. The only question left is the most personal one: how do you actually get from where you are now to where the protection is?
If your current role faces automation risk, don't panic — but don't wait, either. The people who transition proactively negotiate from strength. The people who transition after a layoff negotiate from desperation. Every month you delay shifts you from the first group to the second.
- AI Career Transition
An AI career transition is not starting over — it's redirecting existing human skills (de-escalation, physical problem-solving, ethical judgment, relationship building) toward sectors where those skills are the core value, not a nice-to-have. The most successful transitions leverage strengths that were undervalued in the previous role but are central to the new one.
Step 1: Map your human skills (be brutally honest)
Separate what AI can replicate from what it can't
List every skill you use in a typical week. Now sort them:
- AI-proof skills: Relationship building, physical problem-solving, ethical judgment, creative vision, persuasion, crisis management, reading a room
- AI-assisted skills: Data analysis, writing, research, scheduling — you do them, but AI is getting better at them
- AI-replaceable skills: Data entry, routine reporting, template-based work, scripted interactions
Step 2: Match your skills to protected careers
Find the overlap between your strengths and AI-proof careers
Review the 30 careers above. Which ones align with your AI-proof skills?
- Customer-facing experience? → Healthcare, human services, school counseling, customer success
- Physical/hands-on work? → Skilled trades, construction management
- Analytical + judgment? → InfoSec, actuarial, operations research
- People management? → Healthcare management, HR management, construction management
- Creative background? → Creative direction, architecture, UX leadership
Don't think of this as "starting over." Think of it as redirecting skills you already have toward a sector that actually values them long-term.
Step 3: Understand the gap (it's often smaller than you think)
Research what it actually takes
For your top 2-3 target careers, answer these questions:
- Education required? Not all AI-proof careers need degrees — trades use apprenticeships, HHAs need weeks of cert
- How long? Home health aide: 6 weeks. Solar installer: immediate. RN: 2 years. Electrician: 4-5 years (paid)
- What does it cost? Trades: $0 (apprenticeship). Community college ADN: $10-15K. Many employers offer tuition reimbursement
- Can I work while training? Yes for most paths — apprenticeships, part-time nursing programs, evening counseling programs
Step 4: Test before you commit
Get real exposure — don't just read about it
Before investing years:
- Shadow someone doing the work. One day following an electrician or nurse tells you more than months of research
- Volunteer at hospitals, social service agencies, or Habitat for Humanity builds
- Informational interviews — talk to 3-5 people in the role. The question that matters most: "What do you wish you'd known before starting?"
- Apply to apprenticeship programs for trades — the application process itself is educational and costs nothing
The goal: confirm that you actually want to do this work every day, not just that it looks good on paper.
Step 5: Execute with a timeline (not "someday")
Commit to specific milestones
Build a plan with dates, not intentions:
- Week 1-2: Complete research, identify top 2 target careers
- Month 1: Shadow or volunteer. Conduct 3 informational interviews
- Month 2: Apply to programs (apprenticeship, community college, certification)
- Month 3+: Begin training
- Ongoing: Build relationships in your target field — they lead to opportunities faster than applications
The biggest mistake career changers make: waiting for "the perfect time." The perfect time was six months ago. The second-best time is this week.
An AI career transition is not starting over — it's redirecting the human skills you already have toward a sector that values them as the core product, not an afterthought. Customer service experience transfers to healthcare. Hands-on aptitude transfers to trades. Analytical judgment transfers to InfoSec. The gap is almost always smaller than it looks, and the cost of waiting is always larger than the cost of starting.
- 0130 careers scored on our AI Resistance framework — mental health counselors (97/100), electricians (94/100), and nurses (93/100) top the list
- 02The Trades-Office Inversion: skilled trades (91/100 median) are more AI-proof than most white-collar careers (68/100), with zero student debt
- 03Healthcare offers the strongest combination of AI resistance, salary, and growth: nurse practitioners ($129K, 40% growth, 93/100)
- 04The Human Relationship Moat: mental health careers score highest because the therapeutic relationship IS the product — not a feature of it
- 0512 AI-proof careers pay $100K+ — including elevator installers ($102K, no degree) and financial managers ($156K)
- 06The Direction-Execution Split: in creative fields, AI threatens execution but protects strategic direction — the path to safety runs upward
- 07Leadership roles are less AI-proof than assumed (60-82/100) because most leadership work is cognitive and remote-capable
- 08The best transitions leverage your existing human skills: customer service → healthcare, hands-on aptitude → trades, analytical judgment → InfoSec
Are any tech jobs AI-proof?
Senior and specialized tech roles offer moderate protection. Information security analysts ($125K, 29% growth, 64/100) and research scientists ($141K, 20% growth, 75/100) combine judgment with AI augmentation. Junior and routine coding roles face higher risk. The key distinction: tech jobs that USE AI as a tool are growing. Tech jobs that DO what AI does are shrinking.
How long does it take to transition to an AI-proof career?
Varies enormously by target: Home health aide: 4-6 weeks. Solar installer: start immediately. Registered nurse via ADN: 2 years. Electrician apprenticeship: 4-5 years (but you earn $35-40K+ from day one). Nurse practitioner: 6-8 years total. Many paths let you earn while training — you don't have to stop working to start transitioning.
What if I can't afford to go back to school?
Then you're looking at the strongest options on this list. Skilled trades use paid apprenticeships — zero tuition, and you earn from day one. Home health aides need only weeks of low-cost certification. Many hospitals offer full tuition assistance for employees pursuing nursing degrees. Solar companies train on the job. The 'can't afford school' limitation actually points you toward the most AI-proof paths.
Are remote jobs AI-proof?
Generally, no. Physical Presence is the strongest single predictor of AI resistance in our model (r = −0.74). The logic: if a job can be done remotely by anyone from anywhere, it can increasingly be done by AI from nowhere. Roles requiring in-person presence in variable environments are structurally more protected. Telehealth counseling is one exception because the core value is the human relationship, not the physical setting.
Will AI-proof jobs pay less than tech jobs?
Many pay comparably or better. Nurse practitioners ($129K), physician assistants ($133K), financial managers ($156K), and elevator installers ($102K) compete with tech salaries — often with better job security and work-life balance. Skilled trades offer strong middle-class incomes ($57-102K) with zero debt, which means the effective compensation is often higher than a tech worker with $50K in loans.
How do I know if MY specific job is AI-proof?
Score it using the 4-dimension AI Resistance framework: Physical Presence (0-25), Human Relationship (0-25), Creative Judgment (0-25), and Ethical Accountability (0-25). Add the scores. Above 75 = strong protection. Below 40 = high vulnerability. 40-75 = transformation zone where the role will change significantly but not disappear. See the full methodology and self-assessment at our research page: Jobs AI Can't Replace.
I'm in my 40s. Is it too late to switch careers?
No. Several AI-proof paths are specifically suited to career changers with life experience. Trade apprenticeships accept adults — and maturity is an advantage on job sites. Nursing programs actively recruit second-career students. Counseling programs value lived experience as a professional asset. A 42-year-old who starts an electrician apprenticeship is a journeyman by 47, earning $62K+ with decades of career runway and zero debt. The barrier is not age. It's the willingness to start.
Prepared by Careery Team
Researching Job Market & Building AI Tools for careerists · since December 2020
- 01Jobs AI Can't Replace: AI Resistance Scoring for 30 Occupations (Original Research) — Careery Research (2026)
- 02The Future of Employment: How Susceptible Are Jobs to Computerisation? — Carl Benedikt Frey & Michael A. Osborne, Oxford Martin School (2013 (updated 2017))
- 03How Will AI Affect the Global Workforce? — Goldman Sachs Research (2023–2024)
- 04Generative AI and the Future of Work in America — McKinsey Global Institute (2023)
- 05Occupational Outlook Handbook (2024–2034 Projections) — U.S. Bureau of Labor Statistics (2025)
- 06Employment Projections: 2024–2034 Summary — U.S. Bureau of Labor Statistics (2025)
- 07Fastest Growing Occupations (2024–2034) — U.S. Bureau of Labor Statistics (2025)
- 08The Future of Jobs Report 2025 — World Economic Forum (2025)
- 09What Jobs Are Affected by AI? Better-Paid, Better-Educated Workers Face the Most Exposure — Brookings Institution (2023)
- 10Chegg Slashes 45% of Workforce, Blames 'New Realities of AI' — CNBC (2025)