Six out of the ten fastest-growing occupations fall under healthcare and social assistance, two are in energy installation and maintenance, and only data scientists and computer and information research scientists are tied to “pure tech.”

The U.S. Bureau of Labor Statistics (BLS) has recently released its 10‑year employment projections for 2025‑2035. Over the past year, discussions about AI displacing jobs have saturated public discourse. Most people expected programmers, engineers and AI scientists to take center stage in this report.

The results tell the opposite story.

Six out of the ten fastest‑growing occupations fall under healthcare and social assistance, two belong to energy installation and maintenance, and only data scientists and computer and information research scientists are tied to “pure tech”.

Topping the list are Nurse Practitioners, with a projected 41% job growth over the decade.

For anyone mapping out career paths — especially students preparing for or already pursuing studies in the United States — this report delivers a counter‑intuitive yet pragmatic signal.

I. Big‑Picture Outlook: Employment Growth Slows Sharply

Let us first examine the macro trends.

BLS projects the U.S. economy will add roughly 5.9 million jobs between 2025 and 2035. Total employment will rise from 170.3 million to 176.2 million, representing a mere 3.5% decadal growth rate.

For comparison, the 2015‑2025 ten‑year growth rate stood at 10.9%. In other words, overall U.S. job growth over the coming decade will be only one‑third of the prior period, pointing to a markedly cooling labor market.

Real opportunities lie not in aggregate volume, but in structural shifts.

II. High‑Demand Occupations: Roles Requiring Physical Human Presence

Below are the fastest‑growing U.S. occupations by projected growth for 2025‑2035:

表格

| Occupation | 2025‑2035 Growth | 2035 Employment | 2025 Median Annual Wage |

| --- | --- | --- | --- |

| Nurse Practitioner | +41.0% | 474,000 | $132,000 |

| Solar Photovoltaic Installer | +36.5% | 42,000 | $53,000 |

| Data Scientist | +34.6% | 371,000 | $120,000 |

| Wind Turbine Service Technician | +29.5% | 15,000 | $64,000 |

| Medical and Health Services Manager | +24.2% | 796,000 | $124,000 |

| Physical Therapist Assistant | +23.0% | 140,000 | $68,000 |

| Psychiatric Technician | +22.3% | 198,000 | $45,000 |

| Computer and Information Research Scientist | +21.8% | 47,000 | $140,000 |

| Occupational Therapy Assistant | +21.5% | 63,000 | $72,000 |

| Ophthalmic Medical Technician | +21.4% | 88,000 | $46,000 |

*Source: U.S. Bureau of Labor Statistics, published August 27, 2026*

A clear pattern emerges: these roles share a core requirement for **in‑person human work**. Practitioners must examine patients hands‑on, climb rooftops to install solar panels, or enter wind‑turbine towers to perform repairs. Machines excel at tasks within structured environments yet struggle with unpredictable, real‑world human‑centered scenarios.

Two additional figures outside the ranking deserve close attention:

- Private‑sector healthcare and social assistance is projected to add more than 2.2 million jobs over the next decade, accounting for approximately 37% of all new U.S. positions and standing as the single‑largest growth engine.

- Among sub‑sectors, services for the elderly and persons with disabilities are expected to generate 625,000 new jobs — more than any other industry.

III. Why Healthcare Dominates: Demographics, Not Merely Technology

Healthcare’s dominance stems fundamentally from population aging rather than technological change.

The U.S. population continues to grow older, driving higher rates of chronic illness and behavioral‑health needs. Critically, the existing nursing workforce itself is aging: large cohorts of registered nurses approach retirement. Beyond new‑demand growth, substantial replacement‑demand openings emerge — vacancies not fully captured in percentage‑growth figures, yet very real labor gaps.

This explains why the fastest‑growing and most AI‑resilient roles tend to require licensing, regulatory oversight, and clear accountability. AI systems can draft care plans, but licensed human practitioners must sign off and bear responsibility for outcomes.

IV. Overlooked Energy‑Sector Jobs: Power Demand Fueled by Data Centers

Ranked second and fourth, solar photovoltaic installers and wind‑turbine service technicians also defy common expectations.

Their growth is partly powered by AI itself. Surging electricity consumption from data centers has lifted national U.S. power demand over the decade, spurring substantial hands‑on roles for solar‑panel installation and wind‑turbine maintenance.

Here lies a notable irony: infrastructure expansion driven by AI creates physical‑labor jobs that AI cannot perform autonomously.

V. AI Is Not Eliminating Jobs — It Is Reshaping Them

Do not hastily conclude that tech‑sector careers are in decline.

BLS research covering 831 occupations finds no correlation between an occupation’s AI‑exposure level and its projected future employment growth. Data scientists (+34.6%) and information‑security analysts (+~21%) both sit among growing professions.

The key distinction lies in two modes of AI adoption:

- **AI automation**: automates routine coding and customer‑service workflows → fewer entry‑level openings.

- **AI augmentation**: augments human problem‑solving and accuracy checks → stable or expanding employment.

Two companies using identical AI tools may end up with opposite hiring outcomes. Therefore the critical question is not whether your field qualifies as IT, but whether your day‑to‑day work is being replaced by AI or amplified by it.

VI. The Real Crisis Hits Entry‑Level Roles — A Critical Warning for International Students

More urgent than hypothetical AI‑driven displacement are trends not explicitly highlighted in headline statistics:

- Since January 2024, postings for U.S. entry‑level professional roles have fallen by 29%, with the steepest drops in sectors where AI adoption is most advanced.

- Stanford wage‑analysis research covering millions of U.S. workers shows that employment among 22‑25‑year‑olds in highly AI‑exposed occupations has declined by roughly 13%. Young software developers saw a ~20% employment drop, while older workers in those same roles posted 6%‑9% growth.

- A February 2026 Harvard study of 62 million workers similarly found that firms adopting generative AI cut entry‑level employment by 9%‑10%, while retaining stable headcount for senior staff.

The sober takeaway: AI has not collapsed total job numbers, yet it has compressed both volume and hiring bar for entry‑level positions. Employers still recruit new graduates, yet increasingly expect outputs previously associated with two‑to‑three years of professional experience.

VII. A Decision‑Making Framework for International Students

The above insights distill into three actionable principles:

1. Prioritize roles requiring physical human presence.

Healthcare, nursing, energy installation‑maintenance, and elder‑care services are licensed, regulated, often in‑person, and hardest for AI to displace.

2. Both “AI‑adjacent” and “AI‑distant” career paths can succeed.

AI‑heavy tracks such as data science and cybersecurity continue expanding. Aim to build and safeguard systems, rather than perform routine execution work that systems can automate.

3. Entry‑level competition is fierce — do not over‑rely on mass applications.

With higher hiring thresholds, admissibility hinges on verifiable hands‑on experience, credentials, and clear professional positioning.

For international students in the U.S., when selecting career directions, evaluate whether a role will still require human labor ten years from now — rather than chasing today’s fashionable majors.

Instead of competing for generic, automatable execution‑focused openings, consider early alignment toward licensed pathways in healthcare and energy, or build deep system‑building expertise in data and cybersecurity. Use internships and hands‑on projects to overcome entry‑level barriers ahead of graduation.

Majors you chose ten years ago shape your present circumstances; choices you make today define your career trajectory a decade out.

The data lays out the possibilities. What remains is your willingness to pursue time‑resilient paths beyond popular mainstream hype.