State of Tech Career Switching 2026: Who Moves Into Tech, and What They Earn
Who switches into tech, where they come from, and what they earn: a Traecta synthesis of free public data, plus the two questions no dataset answers.
Most Americans who change jobs now change occupations at the same time. Indeed's Hiring Lab examined more than 35 million US profiles and found that 64% of people who switched jobs between 2022 and 2024 moved into an entirely different occupation. Career change has stopped being an exception in the US labor market.
Tech, though, pulls in fewer career changers than almost any other field. Only 45% of the people who enter software development come from a different occupation. Hospitality and tourism fills 88% of its openings with people from outside the field, and retail roughly 74%. In Indeed's words, "Nursing and software development have the lowest proportion of job-to-job movers coming from another occupation."
This report was built from free public data only: official statistics, peer-reviewed research, and national surveys across the United States, Russia, the Middle East and North Africa (MENA), and Latin America, plus anonymized counters from our own product, labeled as such. No survey was commissioned. Every figure carries a source, and the two questions the data cannot answer get their own sections, because those gaps are findings too.
The headline number: in a country where 64% of job switchers change occupation entirely, only 45% of the people entering software development come from another occupation.
Five top findingsPermalink to “Five top findings”
- Who switches. In Russia, 43% of everyone who changed profession in the past two years is between 25 and 35 years old. In the United States, changing occupation is what job switchers usually do: 64% of them did it.
- Where they come from. Software development takes 45% of its entrants from other occupations, against 88% for hospitality and tourism. In Russia, manual workers and engineers change fields most often, and most people retrain into an adjacent specialty rather than a wholly new one.
- How long a switch takes. No free public dataset in any of the four markets measures the time from decision to first tech job. We report that absence as a finding of this report.
- What switchers earn. The median US data scientist earns $120,230 a year, more than 2.3 times the $50,980 median across all occupations (our arithmetic on BLS figures). Russians who changed jobs in 2023 saw income grow by about 20% on average.
- What predicts finishing. Roughly nine in ten self-directed online learners never finish: the median completion rate across 221 massive open online courses was 12.6%. No public dataset in any of the four markets separates finishers from quitters. That is the second gap.
How this report was builtPermalink to “How this report was built”
This is a synthesis, not a survey. We assembled it on a zero budget from sources anyone can check: official statistics (the US Bureau of Labor Statistics, Russia's Rosstat as carried by hh.ru), peer-reviewed research, and national surveys carried by major media. On top of that we added anonymized counters from Traecta's own product, marked as internal data wherever they appear.
Three rules governed what went in. Every figure must trace to a live primary source, which we checked and dated; figures we could not re-verify were dropped rather than hedged. Vendor surveys (SuperJob, Defin and AIMIKA, Работа.ру, Авито Работа) are always attributed to the vendor, because each of those companies sells services adjacent to its findings. And no figure travels without its definition: a Russian "profession change" and an American "occupation change" are different measurements with different bases, so the report never pools them into one number.
Two caveats come straight from the sources. Indeed's mobility figures describe users of a job platform, who over-represent active seekers; Indeed counts a switch only between stable jobs, defined as more than six months of tenure and a gap of six months or less. Coursera's skills data is platform data about the platform's own courses; we use it for demand signals only.
Finding 1. Who switches into techPermalink to “Finding 1. Who switches into tech”
Russia has the clearest public picture of who changes profession. In a March 2026 survey by Defin and AIMIKA, carried by Известия, 21% of working Russians said they had changed industry or completed retraining within the previous two years, and another 37% planned a change within a year. Among those who had already switched, the 25-to-35 group is the largest: 43% of all changers, against 25% for 18-to-24, 22% for 35-to-45, and 10% for 45-to-55. Russians change profession about three times over a working life, according to an Авито Работа survey.
The same Defin and AIMIKA poll shows what pushes and what stops them:
| What Russians name | Share |
|---|---|
| Motive: higher income | 61% |
| Motive: remote work | 48% |
| Motive: no career prospects | 43% |
| Barrier: fear of losing income | 58% |
| Barrier: don't know where to start | 36% |
| Barrier: doubt about fit | 28% |
| Barrier: age | 14% |
The leading barrier is fear of losing income during the transition, named by 58%. Age comes last, at 14%. That is worth pausing on: 65% of Russians believe age discrimination in hiring exists, and 39% say they have faced it personally, according to a SuperJob survey carried by ТАСС (2021). Yet among people who are weighing a switch, money anxiety outruns age worry four to one.
The United States has no equivalent switcher profile, because no free public dataset profiles US career switchers directly. What the data does show is scale: 64% of US job switchers changed occupation entirely, on a dataset of more than 35 million profiles, and workers born in the early 1980s held an average of 8.6 jobs between ages 18 and 34 (BLS). Among people learning to code today, 30% already hold a bachelor's degree and are learning for a higher degree, for work, or to upskill, according to the Stack Overflow Developer Survey 2025, which drew 49,019 responses.
Finding 2. The fields they come fromPermalink to “Finding 2. The fields they come from”
The supply of career changers is unevenly distributed across destinations, and tech gets a small share of it. Indeed's Hiring Lab measured the share of each field's entrants who arrive from a different occupation: 88% in hospitality and tourism, roughly 74% in retail, 69% in loading and stocking, and 45% in software development. Only nursing is more closed, at 34%. Software development recruits heavily from people who are already software developers.
The people who do leave their fields often wait a long time before going. Among accountants who change jobs, the typical stay in the field runs slightly under ten years, and 52% of them then leave the field altogether. Childcare workers switch after about 4.5 years, and 86% leave. Across occupations, the average exit rate among US job switchers is 69%. In other words: people generally change jobs within their field many times before they change the field itself.
Russia shows a similar pattern of pragmatic, short-distance moves. In a SuperJob survey carried by RB.ru, 23% of Russians said they had changed profession in the past two years, and most of them were retrained into an adjacent specialty rather than a new field. Manual workers change fields most often, followed by engineering and technical staff, who frequently move into IT roles. The movement into tech is real, but it clusters at the nearest boundary: adjacent technical trades stepping one field over, rather than distant leaps.
Finding 3. How long a switch takes: the number nobody publishesPermalink to “Finding 3. How long a switch takes: the number nobody publishes”
Here is the finding we did not expect: no free public dataset in the United States, Russia, MENA, or Latin America measures how long a career switch into tech takes from decision to first tech job. Not the median duration, not the distribution, not even a defensible average. Government statistics count employment stocks and flows. Platform reports count enrollments and vacancies. Vendor surveys count who switched, not how long the switch took.
The closest public figure is a rate, not a duration: 21% of working Russians changed industry or completed retraining within 24 months. Read carefully, that says one in five working people retooled inside two years. It does not say how long any individual switch lasted, and the share belongs to all working respondents, not to switchers alone.
We consider this gap a finding, and a costly one. Duration is the first question every career changer asks, and the anchor every plan, budget, and family conversation depends on. Bootcamp providers publish self-reported placement timelines, but those numbers are advertisements, not measurements, and they describe one paid format in one country. Until someone measures time-to-switch properly, the honest answer to "how long will this take me" is: nobody publishing free data knows. Until then, the best you can do is build a career change timeline from your current skills and put your own date on it.
Finding 4. What switchers earnPermalink to “Finding 4. What switchers earn”
The destination pays. In the United States, the Bureau of Labor Statistics puts the median wage for all occupations at $50,980 (May 2025). Around it sit the tech destinations career changers aim at:
| Occupation | Median wage (May 2025) | Projected growth 2025–35 | Typical openings per year |
|---|---|---|---|
| Software developers | $135,980 | +10% | ~106,100 (combined with QA) |
| Data scientists | $120,230 | +35% | ~24,800 |
| All occupations | $50,980 | +3% | n/a |
A data scientist's median is more than 2.3 times the all-occupation median (our arithmetic on BLS figures). Both BLS pages were updated on August 27, 2026 to the 2025–35 projection vintage.
Whether an individual switcher lands above the median is a different question, and the closest public answer comes from peer-reviewed research on US microdata: about half of the workers who moved from a declining occupation to a growing one ended up in a role that paid more. Moving toward growth is a coin flip weighted slightly in your favor, before any personal skill or preparation enters the picture.
Russia offers one verified proxy, with its base stated plainly. Among 3,600+ Russians who changed jobs in 2023, average income grew by about 20% after the move, and those under 25 gained more than a third (Работа.ру and СберАналитика; the figure covers job changers, not strictly profession changers). The destination context: the median IT salary in Russia reached 191,000 ₽ per month in the first half of 2026, up 4% over the previous half-year (Хабр Карьера).
Finding 5. What predicts finishing: the second missing numberPermalink to “Finding 5. What predicts finishing: the second missing number”
The completion picture is stark and well documented. Across 221 massive open online courses, the median completion rate was 12.6%, measured in peer-reviewed research (Jordan, 2015). Russian online schools report internal completion in the range of 5–15%. Both numbers point the same way: roughly nine in ten self-directed adult learners do not finish what they started.
Russian data adds a harder edge. The share of Russians whose employer paid for professional courses fell from 15% to 11% over two years, while 16% paid out of pocket; among people who did train, 48% reported no change in their work activity afterwards, up 9 percentage points in two years (SuperJob, n=5,000). Paying for a course and finishing it are different problems, and both now sit more often with the individual than the employer.
What no free public dataset tells anyone is what separates the finishers from the quitters. Study intensity, prior adjacent skills, mentorship, financial runway, a dated plan versus an open-ended one: none of it is measured publicly anywhere in the four markets. Course platforms hold this data privately and do not publish predictors. We flag this as the second structural gap, because it is the one learners feel every evening after work. What you can control today is the part research does support: structure and accountability, the hard core of how adults stay motivated in online learning.
Where demand is headingPermalink to “Where demand is heading”
United StatesPermalink to “United States”
Software developer employment is projected to grow 10% from 2025 to 2035, with about 106,100 openings per year across the combined developer and QA group. Data scientist is the fastest-growing occupation this report cites, at 35%. Two forces pull in the same direction. Workers with AI skills earn a 62% wage premium over workers without them, up from 57% a year earlier, across more than one billion job ads in 27 countries (PwC). And 39% of the core skills attached to jobs today will change by 2030 (World Economic Forum). AI Engineer ranked first on LinkedIn's 2026 Jobs on the Rise list for the United States. For someone weighing a switch, demand is not the question. Entry is.
RussiaPermalink to “Russia”
The pipeline is unusually strong for a tight market. One in five working Russians has already retooled within two years, and 37% more plan a change within a year. The market they step into is the tightest in years: 10.3 resumes per vacancy against a norm of 8 or fewer, with unemployment at 2.2%, a historic low (hh.ru, citing Rosstat). Employers are scaling back sponsored training (15% to 11% over two years), and learners carry more of the cost themselves. What Russians want to learn leaves no doubt about direction: 64% named AI and digital literacy as the skill they will need within 3 to 5 years, and 53% named data skills.
Middle East and North AfricaPermalink to “Middle East and North Africa”
Public outcome data on MENA career switchers does not exist; what is public is demand, and it is steep. Generative AI course enrollments grew 344% year over year in the UAE and 165% in Saudi Arabia; enrollments in entry-level professional certificates grew 36% across the region (Coursera platform data; the UAE leads the region in Coursera's skills ranking at #38). LinkedIn's Jobs on the Rise lists for the UAE, Saudi Arabia and Egypt are topped by sales, technical and sustainability roles. We deliberately make no outcome claims for this region: the data to support them is not public.
Latin AmericaPermalink to “Latin America”
The same boundary applies: demand data only. Latin America has the fastest-growing generative AI enrollment rate in the world at 425% year over year, and cybersecurity enrollments grew 106% (Coursera platform data). The Inter-American Development Bank analyzed more than 6.2 million online job postings across 15 Latin American countries between 2022 and 2025 to map which digital jobs are being created. Whether switchers in the region finish their transitions, and what they earn afterwards, is not measured in any free public source we could find.
What we see in our own data (Traecta internal, aggregated)Permalink to “What we see in our own data (Traecta internal, aggregated)”
Traecta builds personalized career roadmaps, so our own counters carry one signal worth stating, with its limits: this is opt-in product data from a young product, not a market measurement.
Between launch and September 3, 2026, 16 users generated 95 roadmaps in the app. Of those 95, 61 (64%) are explicit "from X to Y" career-switch plans: sysadmin to DevOps, QA to cybersecurity, accountant to data analyst, cashier to data analyst, graphic designer to frontend. The single most common destination is data work: 32 of 95 roadmaps (34%) target data and analytics, data science, ML, or AI.
That lines up with the demand picture above, and it collides with it too: data roles sit inside the field that Indeed measured as one of the hardest to enter from outside. People are aiming at the destination with the steepest entry wall. A dated, structured plan is how you climb a wall like that. That is how my own switch went: from sysadmin work into a HealthTech data team, where my first analyst tasks were queries against systems I had kept running for years. Adjacency did the heavy lifting.
What this meansPermalink to “What this means”
If you are considering a switch:
- Your fear is data-backed, and it is about money, not age. Fear of income loss stops 58% of Russian considerers; age stops 14%. Plan the runway first: savings, a timeline in months, and a weekly study budget you can hold alongside your job.
- Expect a wall at the entry, not at the exit. Tech fields take fewer external entrants than hospitality or retail, so structure beats enthusiasm. Adjacent moves (QA to security, analyst to data) match how real switches happen; our guide to switching careers into tech maps the realistic routes.
- Treat course completion as the enemy. Nine in ten self-directed learners never finish. If you enroll in anything, enroll with a finish date and a weekly hours commitment already written down.
If you hire: because so few people enter software development from another occupation, external talent is a sourcing strategy you are leaving on the table. About 47% of US computer and mathematical jobs do not require a bachelor's degree (BLS), and 51% of the 36 million Americans working in STEM occupations hold a sub-baccalaureate as their highest credential (NSF pilot data). Career changers with adjacent experience are the labor supply your competitors are filtering out, and career paths without a degree keep widening.
If you produce research or policy: the two gaps in this report are the agenda. Measure time-to-switch and completion predictors, publish them free, and the next version of this report will have a chapter where today it has an honest blank.
LimitationsPermalink to “Limitations”
This is a synthesis of existing public sources, not an original survey, and it inherits their weaknesses. Self-selection runs through every voluntary survey cited; vendor surveys (SuperJob, Defin and AIMIKA, Работа.ру, Авито Работа) come from companies with adjacent commercial interests, and Coursera's report is platform data. Definitions of "changing profession" differ across countries and surveys, and we never pool or average across bases. BLS projections describe the 2025–35 vintage (pages updated August 27, 2026) and are estimates, not guarantees. The Russian income-gain figure covers job changers in 2023, not strictly profession changers. MENA and Latin America appear only as demand sections, because no free public outcome data exists for them. Traecta's internal counters describe 16 users of a young product and are illustrative only. We dropped figures we could not re-verify rather than hedge them into usefulness.
About TraectaPermalink to “About Traecta”
Traecta — Your Personalized Career Roadmap. Traecta builds personalized career roadmaps for professionals switching into tech: a dated plan from your current skills to a target role, built around your schedule and budget, not a library of courses. If the numbers in this report describe you, your personalized career roadmap from Traecta starts with a 15-minute plan.
SourcesPermalink to “Sources”
Every figure in this report maps to a source below. All URLs checked live between July 12 and September 3, 2026; volatile sources were re-checked on September 3, 2026.
- Indeed Hiring Lab, "Job mobility and career transition patterns" (June 10, 2025)
- BLS OOH: Software Developers, QA Analysts, and Testers (2025–35; updated Aug 27, 2026)
- BLS OOH: Data Scientists (2025–35; updated Aug 27, 2026)
- Song et al., occupation transitions and pay, Science Advances (peer-reviewed)
- hh.ru, "Тренды на рынке труда" (May 2026; unemployment cites Rosstat)
- PwC, Global AI Jobs Barometer 2026
- World Economic Forum, Future of Jobs Report 2025
- LinkedIn Jobs on the Rise 2026, US list (ranking independently confirmed)
- Jordan, K., MOOC completion rates, The International Review of Research in Open and Distributed Learning (IRRODL), 16(3), 2015, peer-reviewed
- BLS TED: early-1980s cohort held 8.6 jobs ages 18–34 (2022)
- Stack Overflow Developer Survey 2025 (n=49,019)
- Defin × AIMIKA survey, via Известия (March 3, 2026)
- SuperJob survey, via RB.ru (May 4, 2026)
- Работа.ру × СберАналитика press release (July 2024; 2023 job changers, n=3,600+)
- Авито Работа survey, via Forbes Russia
- Хабр Карьера, H1 2026 salary review (July 2026)
- SuperJob survey, via CNews (July 17, 2026; n=5,000)
- SuperJob research center survey, via ТАСС (September 2021; n=1,600)
- OTUS, course completion breakdown, vc.ru (April 2022; industry-reported range)
- Coursera, Global Skills Report 2025 announcement (platform data)
- LinkedIn News, fastest-growing jobs in the Middle East (2023)
- Inter-American Development Bank, online job postings in Latin America (2026)
- BLS ORS factsheet: Computer and Mathematical Occupations
- NSF NCSES InfoBrief NSF 25-352, NTEWS pilot data (experimental statistics)
- Traecta internal data, aggregated (production counters, queried September 3, 2026; opt-in product data, illustrative only)
