MyPassion.ai
Original research · Data frozen July 28, 2026 · Updated August 14, 2026

The Career Change Report 2026

What 6,837 people told us about being lost in their careers. Between January 29 and July 28, 2026, people from 156 countries answered the MyPassion.ai career quiz while looking for direction. This report aggregates their anonymized answers: who is questioning their career, why, and where the pattern breaks with common advice.

Every chart and table is free to reuse under CC BY 4.0 with a link to this page. Every figure is computed from one frozen response-level dataset, which we share with journalists and researchers on request.

19.1%are paid well and want out anywayn = 6,515
59.2%of them have 8+ years of experiencen = 1,035
52.9%cannot name a direction or a strengthn = 3,656
Key findings

Twelve numbers that describe career doubt in 2026

Each line below is a complete claim with its own base, written to be quoted as it stands. Sections further down break every one of them apart.

  1. 0119.1% of people questioning their career are in jobs that already pay well and want out anyway (n = 6,515).
  2. 0259.2% of those well-paid leavers have 8 or more years of experience. Career doubt peaks at seniority, not at entry level (n = 1,035).
  3. 0326.2% of the well-paid group name boredom as their core struggle, against 6.0% of students and 6.1% of the multi-interest group (n = 714).
  4. 0452.9% name a self-knowledge problem as their core struggle: no idea which direction to pick, or no idea what they are good at (n = 3,656).
  5. 056.4% to 20.1% is how far the share naming boredom climbs across the formal degree ladder, from high school to master's level or above.
  6. 0622.6% of respondents with 8 or more years of experience name boredom, against 5.3% of those with none (n = 962 and 1,713).
  7. 0715.9% identify as specialists who master one subject. Among the well-paid group it falls to 12.2%, the lowest of any segment (n = 6,473 and 1,235).
  8. 0839.0% of people who say they have too many interests name that as their core struggle. No other group self-diagnoses so consistently (n = 690).
  9. 0965.0% of people returning after a career break describe themselves as stuck or going in circles (n = 203).
  10. 1029.9% name learning, going deep on a topic that grips them, as their strongest flow trigger, ahead of creating at 22.4% (n = 2,330).
  11. 11156 countries are represented, and the fifteen largest account for only 76.0% of respondents (n = 6,389).
  12. 126.9 min median time to complete the quiz; 75.4% of the 6,860 started sessions finished.
Finding 1

One in five is paid well and wants out anyway

Career quizzes are stereotyped as a student activity, and students are indeed the largest group: 45.6% of respondents describe themselves as a student or graduate with no clear direction. The surprise is the second-largest group. 19.1% are in a career that pays well and are seeking change regardless. They outnumber both the multi-interest group (18.7%) and the stuck-or-unemployed group (16.6%).

Bar chart of career quiz takers by life situation, 19.1% in well-paying careers
Share of 6,515 respondents describing their current situation.Download image
Table 1Who is questioning their careerLife situation as respondents describe it themselves.
SegmentShareBase n
Student or graduate, no clear direction45.6%2,971 of 6,515
In a well-paying career, seeking change19.1%1,247 of 6,515
Too many interests, can't pick one18.7%1,216 of 6,515
Stuck or unemployed, going in circles16.6%1,081 of 6,515

Source: MyPassion.ai Career Change Report 2026 (n = 6,515 respondents), dataset frozen 28 July 2026

Finding 2

Career doubt peaks at seniority, not at entry level

Inside the well-paid group, experience skews heavily senior: 59.2% have 8 or more years in the workforce, and 80.6% have at least four. The people most likely to be questioning a well-paying career are not restless juniors; they are the ones who have seen enough of the path to judge where it ends. The full breakdown of what that group says is wrong sits in The Golden Handcuffs Index.

Bar chart of well-paid career changers by years of experience, 59.2% have 8 plus years
Well-paid respondents seeking change, by years of experience (n = 1,035).Download image
Finding 3

The problem is self-knowledge, not options

Asked to name their core struggle, 52.9% of respondents pick one of two answers: they have no idea which direction to pick (26.5%), or they cannot tell what they are actually good at (26.4%). Only 20.5% describe the opposite problem of too many interests. Most career advice assumes people need more options. The data says most people need a clearer read on themselves.

Bar chart of five core struggles, self-knowledge problems total 52.9%
Core struggle named by 3,656 respondents.Download image
Table 2The five core strugglesThe struggle respondents name when asked what is actually stopping them.
SegmentShareBase n
No idea which direction to pick26.5%968 of 3,656
Can't tell what they're good at26.4%965 of 3,656
Too many interests to commit to one20.5%748 of 3,656
Nothing they try feels like a passion15.1%552 of 3,656
Stuck or bored in current work11.6%423 of 3,656

Source: MyPassion.ai Career Change Report 2026 (n = 3,656 respondents), dataset frozen 28 July 2026

Finding 4

The educated are not confused. They are bored.

Splitting the same struggle question by education produces the cleanest gradient in the dataset. The share who name boredom, being stuck in what they already do, rises with every degree: 6.4% of high-school respondents, 14.9% of bachelor's graduates, 20.1% at master's level or above. Education narrows the confusion and replaces it with a different question: this works, but is it what I want to keep doing?

Column chart showing boredom as core struggle rising from 6.4% to 20.1% with education
Share naming boredom as their core struggle, by education (bases: 1,553 / 1,078 / 568).Download image
Finding 5

Only 16% identify as specialists

Asked how they naturally work, respondents split almost evenly between improving what exists (29.0%), connecting ideas or people (28.1%), and starting new projects (27.0%). Deep single-subject mastery comes last at 15.9%. The classic instruction to find your one passion and go deep describes a sixth of the population and quietly misfires for the rest.

Donut chart of self-described work styles, 15.9% identify as specialists
Self-described work style (n = 6,473).Download image
Table 3How people say they naturally work
SegmentShareBase n
Improving what already exists29%1,876 of 6,473
Connecting ideas or people28.1%1,820 of 6,473
Starting new projects27%1,746 of 6,473
Mastering one subject15.9%1,031 of 6,473

Source: MyPassion.ai Career Change Report 2026 (n = 6,473 respondents), dataset frozen 28 July 2026

Finding 6

Learning beats creating as a flow trigger

When respondents name the activity that makes them lose track of time, learning wins: 29.9% pick going deep on a topic that grips them, ahead of creating (22.4%), being with people (21.8%), technical problem-solving (15.8%), and physical activity (10.1%). Flow is the signal the MyPassion.ai quiz is built around, because what someone does without external pressure is the most honest data point they produce.

Bar chart of five flow triggers, learning ranks first at 29.9%
Strongest flow trigger named by 2,330 respondents.Download image
Finding 7

Career doubt is a global condition

Respondents came from 156 countries. The United States leads with 32.7%, followed by India (12.9%) and the United Kingdom (7.2%), but two-thirds of all responses come from outside the US. The fifteen largest countries together account for 76.0%, which leaves roughly a quarter of all responses spread across the remaining 141. The question behind this report is not an American anxiety; it shows up in every labor market the quiz reaches.

Bar chart of respondent share by country across 156 countries
Top countries by share of 6,389 respondents reporting a country.Download image
Table 4The fifteen largest countriesCountry is self-reported. The remaining 141 countries hold 24.0% of responses between them.
CountryShareBase n
United States32.7%2,087 of 6,389
India12.9%824 of 6,389
United Kingdom7.2%463 of 6,389
Australia4.5%289 of 6,389
Canada4.3%276 of 6,389
Germany2.9%186 of 6,389
Indonesia1.8%112 of 6,389
South Africa1.7%110 of 6,389
Pakistan1.6%100 of 6,389
Malaysia1.2%78 of 6,389
Netherlands1.2%78 of 6,389
Philippines1.2%77 of 6,389
New Zealand1.1%68 of 6,389
United Arab Emirates0.9%57 of 6,389
France0.8%52 of 6,389

Source: MyPassion.ai Career Change Report 2026 (n = 6,389 respondents), dataset frozen 28 July 2026

Deeper cuts

Crossing the dataset with itself

The seven findings above each read one question at a time. The published dataset has ten columns, so the more interesting material is in the crossings: what a segment says when you already know who they are. Every table below reads across its rows, each row on its own base, printed in the last column.

How to read these tables. Percentages run across a row and sum to 100 within it, on that row's own base. They are never shares of the full 6,837. A row whose base falls under 100 is suppressed and prints "n/a" rather than a percentage that its base cannot carry.
Cut 1

Each group has a different problem, and only one knows it

Crossing life situation against core struggle separates four populations that generic career advice treats as one. Boredom is almost entirely a well-paid phenomenon: 26.2% of that group name it, against 6.0% of students and 6.1% of the multi-interest group. Meanwhile the multi-interest group is the only segment that names its own label back at a high rate, with 39.0% picking too many interests, roughly double every other segment. People with too many interests know exactly what is wrong with them. Everyone else is guessing.

Table 5Core struggle by life situationWhat each segment says is actually stopping them.
No idea which direction to pickCan't tell what they're good atToo many interests to commit to oneNothing they try feels like a passionStuck or bored in current workBase n
Student or graduate, no clear direction30%29.5%18.2%16.2%6%1,573
In a well-paying career, seeking change21.8%21%15%16%26.2%714
Too many interests, can't pick one21.7%23.2%39%10%6.1%690
Stuck or unemployed, going in circles28%28.1%12.5%16.8%14.6%679

Source: MyPassion.ai Career Change Report 2026 (n = 3,656 respondents), dataset frozen 28 July 2026

What the well-paid say is actually wrongRespondents in well-paying careers who want out, by the core struggle they name. Boredom leads; for everyone else it comes last.
No idea which direction to pick: 21.8%No idea which direction to pick21.8%Can't tell what they're good at: 21%Can't tell what they're good at21%Too many interests to commit to one: 15%Too many interests to commit to one15%Nothing they try feels like a passion: 16%Nothing they try feels like a passion16%Stuck or bored in current work: 26.2%Stuck or bored in current work26.2%
What the well-paid say is actually wrong. % within each life situation band.
AnswerShare
No idea which direction to pick21.8%
Can't tell what they're good at21%
Too many interests to commit to one15%
Nothing they try feels like a passion16%
Stuck or bored in current work26.2%
Source: MyPassion.ai Career Change Report 2026 (n = 714 respondents), dataset frozen 28 July 2026Download image

Boredom is not what career doubt looks like in general. It is what career doubt looks like once the money is already solved.

Cut 2

Boredom arrives with tenure, and a career break resets it

The same struggle question against years of experience shows boredom climbing steadily with tenure: 5.3% among people with no experience yet, 12.5% at one to three years, 12.8% at four to seven, and 22.6% at eight or more. The exception is the group that stepped away. Among people returning after a career break, boredom falls back to 7.7% and is replaced by directionlessness: 29.4% cannot name a direction and 28.0% cannot name a strength, the highest combined self-knowledge gap of any experience band.

Table 6Core struggle by years of experienceBoredom rises with tenure. The career-break row does not follow the trend.
No idea which direction to pickCan't tell what they're good atToo many interests to commit to oneNothing they try feels like a passionStuck or bored in current workBase n
No experience yet29.7%29.2%22.4%13.5%5.3%1,713
1-3 years25%27.7%19.1%15.7%12.5%440
4-7 years23.5%24.8%22.3%16.6%12.8%391
8+ years22.3%21.2%18%15.9%22.6%962
Returning after a career break29.4%28%14%21%7.7%143

Source: MyPassion.ai Career Change Report 2026 (n = 3,649 respondents), dataset frozen 28 July 2026

Read together with Cut 1, this says the well-paid and the long-tenured are largely the same people, and boredom is what that combination produces. It also says a career break does not carry the boredom across. Time away appears to reset the problem to an earlier and harder one: not knowing what to aim at.

Cut 3

The education gradient is about degrees, not training

The published gradient covers the three formal-degree levels and rises cleanly across them. Adding the two non-degree routes breaks the line. Vocational and certification respondents name boredom at 12.7%, between high school and bachelor's. Self-taught and bootcamp respondents name it at 6.8%, essentially the high-school rate, despite typically working in skilled roles. Whatever the gradient is tracking, it is not simply years spent training.

Boredom rises with every level of educationThe published gradient covers the three formal-degree levels. Adding the two non-degree routes breaks the line: self-taught respondents report boredom at high-school rates.
High school: 6.4%High school6.4%Vocational or certifications: 12.7%Vocational or certifications12.7%Self-taught or bootcamp: 6.8%Self-taught or bootcamp6.8%Bachelor's degree: 14.9%Bachelor's degree14.9%Master's degree or higher: 20.1%Master's degree or higher20.1%
Boredom rises with every level of education. % naming this within each band.
AnswerShare
High school6.4%
Vocational or certifications12.7%
Self-taught or bootcamp6.8%
Bachelor's degree14.9%
Master's degree or higher20.1%
Source: MyPassion.ai Career Change Report 2026 (n = 3,651 respondents), dataset frozen 28 July 2026Download image

Read this one carefully

The self-taught band rests on 146 respondents, the thinnest row on this page. It clears the publication floor of 100 but it is a signal worth checking against a larger sample before building an argument on it. The three formal-degree levels, at 1,553, 1,078 and 568, are the sturdy part of this finding.
Table 7Core struggle by education levelAll five education routes, not just the three-level degree ladder.
No idea which direction to pickCan't tell what they're good atToo many interests to commit to oneNothing they try feels like a passionStuck or bored in current workBase n
High school29.2%28.1%21.6%14.6%6.4%1,553
Vocational or certifications24.8%24.5%22.5%15.4%12.7%306
Self-taught or bootcamp29.5%30.1%22.6%11%6.8%146
Bachelor's degree25.6%25.3%18.2%16%14.9%1,078
Master's degree or higher21%23.4%20.1%15.5%20.1%568

Source: MyPassion.ai Career Change Report 2026 (n = 3,651 respondents), dataset frozen 28 July 2026

The fuller version of this finding, including what it means for how career advice is written for graduates, is in The Education Paradox.

Cut 4

The people furthest into a career are the least likely to call themselves specialists

Work style against life situation produces the finding that argues hardest with conventional advice. Specialists are the smallest group overall at 15.9%, and they are scarcest precisely where seniority is highest: only 12.2% of the well-paid group describe themselves as mastering one subject, against 18.5% of students. The well-paid group is instead the most likely to describe itself as improving what already exists, at 32.1%.

Table 8Work style by life situationSpecialists are rarest among the group with the most experience.
Improving what already existsConnecting ideas or peopleStarting new projectsMastering one subjectBase n
Student or graduate, no clear direction28.4%28%25.2%18.5%2,948
In a well-paying career, seeking change32.1%27.6%28%12.2%1,235
Too many interests, can't pick one25.4%31.1%30.4%13%1,212
Stuck or unemployed, going in circles31.1%25.8%26.8%16.3%1,078

Source: MyPassion.ai Career Change Report 2026 (n = 6,473 respondents), dataset frozen 28 July 2026

Students describe themselves as specialists more often than people with a decade of paid work behind them. That is the opposite of what a build-your-expertise narrative predicts, and it is consistent across the two largest segments on the page. One reading: specialisation is an identity people expect to grow into, and the ones who arrive discover the job was mostly improving what was already there.

Cut 5

What each group loses track of time doing

Flow triggers are the signal the quiz is built around, and they separate the segments more sharply than any other question. Learning leads everywhere, but the well-paid group is the most technical of the four at 21.1% and the least people-oriented at 16.7%, while students sit at 15.0% technical and 24.1% people. The stuck-or-unemployed group is the most learning-driven of all at 32.4%.

Table 9Flow trigger by life situationThe activity each segment names when asked what makes them lose track of time.
Learning or going deep on a topicCreating: writing, design, music, craftBeing with peopleSolving hard technical problemsMoving: sport, outdoors, hands-onBase n
Student or graduate, no clear direction28.6%20.9%24.1%15%11.4%1,006
In a well-paying career, seeking change30.7%20.7%16.7%21.1%10.9%479
Too many interests, can't pick one29.7%24.8%23.4%14.2%7.9%431
Stuck or unemployed, going in circles32.4%25.4%20.5%13.3%8.5%414

Source: MyPassion.ai Career Change Report 2026 (n = 2,330 respondents), dataset frozen 28 July 2026

On this base. The flow question has the thinnest coverage of any field in the dataset, at 2,330 of 6,837 responses, because it was added partway through the collection window. Every row above clears the publication floor, but the per-row bases are the smallest on this page and are printed in the last column.
Methodology

How this data was collected and what it can claim

The data comes from the free MyPassion.ai career quiz. Between January 29 and July 28, 2026, 6,860 sessions were started and 6,837 produced a stored response; 75.4% of started sessions completed all questions, with a median completion time of 6.9 minutes.

This is a self-selected sample of people actively questioning their career, not a representative panel of all workers. We consider that a feature: it measures the population inside the question. It also means the numbers should not be read as national workforce shares, and no figure on this page should be presented as a prevalence estimate for any general population.

Questions were added and revised over the collection window, so each finding is computed only on respondents who answered the current version of that question, and the base is stated next to every number. Legacy answer formats were excluded rather than remapped. Percentages refer to their stated base, never to all 6,837 rows.

Country is self-reported. All free-text answers were removed from the published dataset to protect respondent privacy; only categorical fields are released. The full sampling frame, exclusion rules, suppression threshold, and the limits of what this data can support are set out on the how this research is made.

How to cite this page

Everything here is free to reuse under CC BY 4.0 with a link back. Charts, tables and the response-level dataset included.

MyPassion.AI (2026). The Career Change Report 2026. Career Change Report 2026. Retrieved from https://mypassion.ai/research/career-change-report-2026

Writing about career change? We answer methodology questions and run custom cuts of this data for journalists: email the research team.

The underlying dataset

Every figure on this page, including all five cross-tabs, is computed from one frozen file: 6,837 anonymized response rows, one per quiz response, with ten columns (month, country, education, years of experience, life situation, core struggle, work style, flow trigger, completion, duration band). No free text and no identifiers.

That file is not released. At nine attributes per row, most rows are a unique combination, so it is de-identified rather than anonymous and we treat it accordingly. The reasoning is set out under why the row-level file is not released.

What we do share, on request, is the aggregate table behind any figure here plus custom cuts of it, which is what checking a number actually requires. Email the research team and say what you are working on. Charts, tables and figures on this page are free to reuse right now under CC BY 4.0 with a link back.

Keep reading

More from the Career Change Report 2026

Every page below cuts the same 6,837 responses a different way. Same dataset, same methodology, different question.

Also in this series: job satisfaction statistics 2026, burnout statistics 2026, job hopping statistics 2026. The sampling frame, exclusions and suppression rules are in the research methodology, and the full index sits on the research hub. On the blog, career change at 30 and the multi-career generation put these findings next to what the labour statistics actually measure.

Questions

Frequently asked questions

From 6,837 responses to the free MyPassion.ai career quiz between January 29 and July 28, 2026. Respondents answered for themselves, unprompted, while looking for career direction. Nobody was recruited into a survey panel or paid to answer.

Yes. Every chart, every table, and the response-level dataset are published under CC BY 4.0. Use them in articles, newsletters, presentations, or research, with a link to this report as attribution. Each chart has a copy-ready embed snippet.

No, and the report never claims it is. This is a self-selected sample of people actively questioning their career, which is what makes it useful: it describes the people in the middle of the question, not the average of everyone. Every percentage states its base.

Questions were added to the quiz over time and some can be skipped, so coverage varies by field. Each finding is computed on the respondents who answered that question, and the base is printed next to every number.

Every percentage on this page, including all the cross-tabs, is computed from one frozen response-level dataset of 6,837 anonymized responses, and each table caption names the two columns it groups on. We share that dataset with journalists and researchers on request, so a figure can be checked at source before you publish it.

Yes. The dataset has ten columns, so most questions can be answered by crossing two of them, and we run cuts that are not published here on request. If you need a breakdown we have not published, or want the methodology walked through before you publish, the contact address is in the dataset section on this page.

These 6,837 people took seven minutes to get a clearer read on themselves. The same quiz is free, and your answers make the next report sharper.

Take the free career quiz
Marco Kohns, founder of MyPassion.AI

Research and analysis by Marco Kohns, founder of MyPassion.AI.

Published growth researcher (Journal of Business Research, Q1), MSc NOVA IMS Lisbon, and lecturer on AI for business at Católica Lisbon School of Business and Economics. Previously a growth product manager at a Silicon Valley scale-up operating in 100+ countries.

· · How this research is made

Disclosure: MyPassion.AI operates the career quiz that produced this data and sells a paid career report. Every figure states its base, the method is published in full, and we run custom cuts of the aggregate data for journalists and researchers on request.