Letting AI write your school assignment or job application vs writing it yourself
If you act
Using AI to write the assignment
11%
If you don't
Writing it yourself
10%
Percentage who later regret each choice. Bars and full ledger render below.
Career
Last reviewed 2026-05-28
Evidence quality 4.0/5
Eight-dimension review score against the
quality rubric
. Each dimension scored 1–5.
D1 Source verification
5/5
D2 Source authority & independence
4/5
D3 Regret-rate accuracy
2/5
D4 Source comparability
3/5
D5 Gilovich pattern
4/5
D6 Prose quality
4/5
D7 Caveat completeness
5/5
D8 Sample quality
5/5
Average4.0/5
Proxy data — no direct regret survey exists for this decision. Rates are derived from satisfaction scores and access-barrier data rather than questions that directly asked about regret. See caveats below.
Action regret
Using AI to write the assignment
11%
No direct regret survey exists: no study asks students whether they regret using AI on an assignment. The 11% measures a concrete adverse outcome instead — ChatGPT-using job seekers denied a job once the interviewer discovered AI wrote the application (ResumeBuilder 2023). The often-cited 60% of student AI users agreeing AI harms critical thinking (RAND Dec 2025) is a belief about a general harm, not regret about a specific decision, so it is deliberately NOT used as the rate
US students ages 12–29 who use AI for schoolwork; separately, US adult job seekers who used ChatGPT for resumes/cover letters
December 2025 (RAND); February 2023 (ResumeBuilder)
Inaction regret
Writing it yourself
10%
No source measures inaction regret: no survey asks students who wrote assignments themselves whether they regret it, and the cited studies give no percentage for it. The largest undergraduate study (SERU) only warns qualitatively that AI non-users 'may fall behind,' and RAND finds 78% of non-users believe AI is harmful — so most non-use is principled, not regretted. The ~10% shown is a disclosed conservative floor for the access-constrained minority SERU flags, derived from no source statistic; read it as 'no reliable estimate,' not an observed rate
US students ages 12–29 who do not use AI for schoolwork
2024–2026
% who regret this choice
Using AI to write the assignmentWriting it yourself
11%10%
balanced — Roughly balanced — both choices carry similar regret.
Related decisions
Semantically similar decisions — same territory, different trade-offs.
There is no survey that asks students whether they regret using AI on an assignment, so this side has no measured regret rate. The number used here — 11% — is the cleanest genuine adverse outcome on the action side: a ResumeBuilder survey of 1,000 US job seekers found that 78% got an interview after submitting ChatGPT-written application materials and 59% were hired, but 11% were denied a job once the interviewer realised AI had written the application. The figure most often quoted in this debate — 60% of student AI users (67% of all students) agreeing that AI for schoolwork harms critical thinking, in the RAND American Youth Panel’s December 2025 wave (n=1,214 youth ages 12–29) — is deliberately not used as the rate, because it measures a belief about a general harm, not regret about a specific decision. The tell is that usage kept climbing anyway, from 48% to 62% of students in seven months even as that concern rose from 54% to 67%: students who believe AI is harmful in the abstract overwhelmingly keep using it, which is the opposite of what a regret signal would predict.
The evidence base for actual harm is stronger than the evidence base for actual regret. A field RCT by Hamsa Bastani and colleagues at Wharton, conducted with about 1,000 Turkish high-school math students, found that students given unrestricted ChatGPT-4 access during practice solved 48% more problems correctly during sessions but then scored 17% lower than the control group on a subsequent no-AI exam. The crucial follow-up finding: students did not recognise that they had learned less. If the harm is invisible to the person doing it, self-report regret will systematically understate true regret on a skill-development axis — students who lost skill cannot regret a loss they cannot see. Surveys of college applicants (foundry10, 2024) found about a third had used AI for admissions essays, with 6% having AI write the final draft; 72% of student ChatGPT users in the Intelligent.com survey agreed that using ChatGPT to write college essays counts as cheating, indicating moral discomfort that runs alongside continued use.
The inaction side is genuinely thin, and no published survey gives any percentage for regret among students who wrote assignments themselves. The largest available undergraduate study — the SERU Consortium survey of 95,000+ undergraduates across 20 research universities, published in Science in May 2026 — found that roughly a third of undergraduates do not use AI and that non-use skews lower-income, female, and racially underrepresented, with the researchers warning only, qualitatively and without a number, that these students “may fall behind in college and eventually the workplace.” That framing makes retrospective regret possible among non-users whose abstention is access-constrained rather than principled, but the RAND finding that 78% of non-users believe AI for schoolwork is harmful pulls hard the other way: most students who don’t use AI think they are right not to, which is the opposite of a regret signal. The 10% shown here is therefore a disclosed conservative ceiling for that access-constrained minority, not a measured rate — and because both sides are now anchored on weak, non-equivalent proxies that land close together, the comparison should be read as “no reliable signal that one side dominates,” not as a finding that either choice generates more regret.
The 2023-to-2025 norm shift in this domain has been faster than any other decision in the dataset. ResumeBuilder’s hiring-manager survey in early 2023 found only 18% of hiring managers could identify a ChatGPT cover letter; by 2025, TopResume’s industry data show that roughly a third of hiring managers can spot AI-generated copy in under twenty seconds, 19.6% of recruiters would reject an AI application outright, and 52% accept proofreading or drafting support. Schools have shifted from blanket bans to acceptable-use policies. The figures cited here were taken in one short snapshot of a moving target; the directional finding (action generates more reported concern and concrete adverse outcomes than inaction) is robust, but the magnitudes will move again, plausibly within the next twelve months.
Sources: action
Claim ledger
Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.
2/7 sources independently verified verbatim against the cited source
[1]RAND Corporation / Schwartz & Diliberti — More Students Use AI for Homework, and More Believe It Harms Critical Thinking: Selected Findings from the American Youth Panel
Reference source
67% of students agreed AI for schoolwork harms critical thinking in Dec 2025 (up from 54% earlier in 2025); among actual AI users the share was 60%, vs 78% among non-users; 62% of students used AI for homework, up from 48% in May 2025
Excerpt
“"67 percent of students said using AI for schoolwork harmed critical thinking… up from 54 percent earlier in the year. Non-AI users: 78 percent expressed concern vs. 60 percent among actual users. The percentage of middle school, high school, and college students using AI for homework rose from 48 percent to 62 percent. Female students: 75 percent believed AI harmed critical thinking; male students: 59 percent."
”
Source data from
2025-12-01
Accessed
2026-05-28
Calculation
RAND American Youth Panel survey of 1,214 youth ages 12–29, fielded December 2025, results published March 2026. This is a BELIEF measure, not a regret measure, and is NOT used as the headline rate. The 67% headline (60% among actual users, 78% among non-users) records agreement with the statement that using AI for schoolwork harms critical thinking — a general attitude about a societal harm, not "I regret having used AI on my own assignment." A student can believe AI is harmful in the abstract and feel no personal regret about their own use; the 14% rise in usage (48→62%) even as concern climbed from 54% to 67% is direct revealed- preference evidence of exactly that gap. No survey has directly asked "do you regret having used AI for your schoolwork?", so this belief figure is retained only as context for why the action side is hard to measure, not as the regret rate. The headline rate is instead anchored on the ResumeBuilder 11% denied-a-job figure (a concrete adverse outcome) below.
[2]ResumeBuilder.com (Pollfish panel) — 3 in 4 Job Seekers Who Used ChatGPT to Write Their Resume Got an Interview
Verified
Reference source
46% of job seekers used ChatGPT for resumes/cover letters; 78% got an interview; 59% were hired; 11% were denied a job when the interviewer discovered ChatGPT use; 88% said they were 'somewhat' or 'highly' likely to continue using it
Excerpt
“"46% of job seekers are using ChatGPT to write their resumes and/or cover letters. 78% got an interview when using application materials written by ChatGPT. 59% were hired after applying to a job using materials written by ChatGPT. 11% were denied a job when the interviewer discovered they used ChatGPT. 88% of the total sample say they are 'somewhat' (41%) or 'highly' (47%) likely to continue using ChatGPT to write their job application materials in the future."
”
Source data from
2023-02-07
Accessed
2026-05-28
Verification
Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
Calculation
ResumeBuilder.com online survey of 1,000 US job seekers, fielded February 2023 via Pollfish. Reputable-reference (industry panel) not peer-reviewed. The 11% denied-a-job figure is the strongest available concrete-consequence proxy on the action side for the job-application cohort: it is a hard adverse outcome rather than an attitude. The 88% continuation rate is a strong revealed- preference signal against high regret — most users would not report planning to repeat a behavior they regretted — but is consistent with regret being concentrated in the ~11% who paid a concrete cost. Not used as the headline rate because (a) sample is job seekers only, not the schoolwork cohort, and (b) the field date precedes mature employer detection norms. Used to anchor the lower bound of plausible action regret.
[3]Bastani, Bastani, Sungu, Ge, Kabakcı, Mariman — Wharton / SSRN working paper — Generative AI Without Guardrails Can Harm Learning: Evidence from High School Mathematics
Primary study
Students with unrestricted ChatGPT-4 access during practice performed 17% worse on a subsequent no-AI exam than the control group; the AI-assisted group solved 48% more practice problems correctly but failed to retain the skill
Excerpt
“"When access is subsequently taken away, students actually perform worse than those who never had access (17% reduction for GPT Base). Students with ChatGPT solved 48 percent more of the practice problems correctly, but they ultimately scored 17 percent worse on a test. Students said they did not think that ChatGPT caused them to learn less even though they had."
”
Source data from
2024-07-15
Accessed
2026-05-28
Calculation
Field RCT with ~1,000 Turkish high-school math students across three grade levels, four 90-minute practice sessions, posted to SSRN July 2024 by Wharton researchers. Used as the mechanism evidence underpinning the action-side regret framing: the harm the RAND respondents fear (skill erosion) is empirically real, even though students themselves did not perceive it. This creates the gap that makes "regret" particularly hard to measure — students who lost skill did not realize they had lost it, so self-report regret rates probably understate true regret. Not a US sample; treat the 17% effect size as directional. The paper is a working paper, not yet peer-reviewed at last revision.
[4]Education Week (reporting on foundry10 research led by Jennifer Rubin) — 1 in 3 College Applicants Used AI for Essay Help. Did They Cheat?
Verified
Reference source
About a third of 2023-24 college applicants used an AI tool for admissions-essay help; about 6% relied on AI to write the final draft
Excerpt
“"About a third of high school seniors who applied to college in the 2023-24 school year acknowledged using an AI tool for help in writing admissions essays... About 6 percent of students overall relied on AI to write the final drafts of their essays instead of doing most of the writing themselves."
”
Source data from
2024-07-15
Accessed
2026-07-03
Verification
Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
Calculation
foundry10 research led by Jennifer Rubin, reported by Education Week (July 2024). Added to ground the body-prose claim "Surveys of college applicants (foundry10, 2024) found about a third had used AI for admissions essays, with 6% having AI write the final draft," which cited foundry10 by name in the body text without a corresponding frontmatter source. Not a regret measure; used as contextual evidence for the scale of AI use in the action-side cohort.
[5]Intelligent.com — Intelligent.com Survey Finds 1 in 10 College Applicants Are Using ChatGPT to Write Their College Application Essays
Reference source
72% of student ChatGPT users agree that using ChatGPT to write college application essays is cheating
Excerpt
“"72 percent of student ChatGPT users agree that using ChatGPT to write college application essays is cheating."
”
Source data from
2023-07-31
Accessed
2026-07-03
Calculation
Intelligent.com/Pollfish survey of 749 college-bound high school seniors and incoming college freshmen, fielded July 15-21, 2023; 303 respondents (41%) had used ChatGPT in the prior six months and answered the cheating-perception question. Added to ground the body-prose claim "72% of student ChatGPT users in the Intelligent.com survey agreed that using ChatGPT to write college essays counts as cheating," previously stated without a supporting frontmatter source. Not a regret measure; used as evidence of moral discomfort alongside continued use.
[6]ResumeBuilder.com (Pollfish panel) — 82% of Hiring Managers Unable to Identify Cover Letters Written by ChatGPT
Reference source
Only 18% of hiring managers correctly identified all three cover letter introductions as human- or ChatGPT-written (82% could not)
Excerpt
“"only 18% got all three right" when asked to identify which cover letter introductions were written by ChatGPT versus humans.
”
Source data from
2023-04-01
Accessed
2026-07-03
Calculation
ResumeBuilder.com/Pollfish survey of 1,000 US hiring managers, fielded March 22-26, 2023 (screened for management roles at companies with 2+ employees, $50k+ salary, frequent application reviewers). This is a different ResumeBuilder survey than the job-seeker survey cited above (same publisher, distinct sample of hiring managers rather than applicants). Added to ground the body-prose claim "ResumeBuilder's hiring-manager survey in early 2023 found only 18% of hiring managers could identify a ChatGPT cover letter," previously stated without a supporting frontmatter source.
[7]TopResume — Survey: Where Employers Draw the Line on the Use of AI in Hiring
Reference source
19.6% of recruiters would reject an AI-generated resume/cover letter outright; 33.5% of hiring managers can spot AI-generated copy in under 20 seconds; 52% accept AI for proofreading or drafting support
Excerpt
“"One in five (19.6%) recruiters would reject a candidate with an AI-generated resume or cover letter." "Over a third (33.5%) of hiring managers can spot an AI-generated resume in under twenty seconds." "Just over half (52%) say using AI for proofreading or drafting support is acceptable."
”
Source data from
2025-05-20
Accessed
2026-07-03
Calculation
TopResume/Pollfish survey of 600 US hiring managers, fielded May 15-16, 2025. Added to ground the body-prose claim "by 2025... TopResume's industry data show that roughly a third of hiring managers can spot AI-generated copy in under twenty seconds, 19.6% of recruiters would reject an AI application outright, and 52% accept proofreading or drafting support," previously stated without a supporting frontmatter source.
Sources: inaction
Claim ledger
Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.
[1]UC Berkeley News (reporting on SERU Consortium study published in Science) — The Largest Study of AI Use by Undergrads Is In, Revealing Disparities in Access — and in Cheating
Peer-reviewed
Two-thirds of undergraduates used GenAI as of spring 2024; low-income, racially underrepresented, and female students used AI less, and researchers warned these students 'may fall behind in college and eventually the workplace'
Excerpt
“"Low-income, racially underrepresented and female students using AI less, and these students may fall behind in college and eventually the workplace because of unequal access to or practice using AI. Students from wealthier families can access advanced AI tools… students who don't have resources may only… use free AI tools."
”
Source data from
2024-04-01
Accessed
2026-05-28
Calculation
SERU Consortium survey of 95,000+ undergraduates at 20 research universities, fielded spring 2024, published in Science May 2026. Used only as a qualitative opportunity-cost signal: the published finding frames non-use as a possible future disadvantage ("may fall behind in college and eventually the workplace"), but states NO percentage for regret or for concern about falling behind. No direct survey asks non-users "do you regret not having used AI?", so there is no measured inaction-side regret rate. The 0.10 rate is not derived from any source statistic — it is a deliberately conservative ceiling for the access-constrained minority the SERU authors flag, set low because RAND shows 78% of non-users believe AI is harmful (i.e. most non-use is principled and unlikely to be regretted). This is the data-sparsest side of the entry; treat the number as a disclosed proxy floor, not an observed figure.
[2]RAND Corporation / Schwartz & Diliberti — More Students Use AI for Homework, and More Believe It Harms Critical Thinking: Selected Findings from the American Youth Panel
Reference source
78% of non-AI-using students believed AI for schoolwork harms critical thinking (Dec 2025); 38% of students were not using AI for homework as of Dec 2025
Excerpt
“"Non-AI users: 78 percent expressed concern vs. 60 percent among actual users. The percentage of middle school, high school, and college students using AI for homework rose from 48 percent to 62 percent."
”
Source data from
2025-12-01
Accessed
2026-05-28
Calculation
Same RAND panel. The 78% concern rate among non-users is direct evidence that abstention from AI is mostly principled, not regretful: the modal non-user thinks AI use is harmful and is therefore unlikely to regret their non-use. This pulls the inaction-regret rate down sharply, and is the reason the disclosed 0.10 proxy floor is set well below the one-third non-use share — it reflects only the residual access-constrained minority the SERU demographic gap finding flags, not principled abstainers. The revealed-preference signal — total AI usage rising from 48% to 62% in seven months — is consistent with some inaction-side regret driving conversion, but cannot be cleanly decomposed from peer effects, capability improvements, or institutional normalization.
Caveats
Neither side has a direct regret survey — no published study asks "do you regret having used AI for your assignment?" or "do you regret having written it yourself?" Both displayed rates are disclosed proxies, not measured regret. The action side is anchored on the cleanest genuine adverse outcome available: 11% of ChatGPT-using job seekers were denied a job once the interviewer discovered AI wrote the application (ResumeBuilder, Feb 2023). That figure applies only to the adult job-seeker cohort and predates mature employer detection norms — by 2025 the field had shifted toward accepting AI as a drafting tool while penalizing fully AI-generated submissions (TopResume and ResumeBuilder hiring-manager surveys) — so it is a directional floor, not a precise schoolwork-cohort rate. The often-quoted 60% (share of student AI users who agree AI harms critical thinking, RAND Dec 2025) is deliberately NOT used as the rate: it is a belief about a general societal harm, not regret about a specific decision, and the 14% rise in usage (48→62%) even as that concern climbed (54→67%) is direct revealed-preference evidence that belief-in-harm and personal regret diverge. The Bastani et al. RCT (now published in PNAS, 2025) shows real skill erosion — students with unguarded ChatGPT scored 17% lower on a subsequent no-AI exam and did not recognize the loss — which means any self-report regret would understate true skill-development harm; it is a third-party outcome from a Turkish sample, used as mechanism evidence, not as a US regret rate. The inaction side is the data-sparsest in the pair: NO source gives a percentage for regret among students who wrote assignments themselves. The SERU study only warns qualitatively that AI non-users "may fall behind," and RAND shows 78% of non-users believe AI is harmful, so most abstention is principled and unlikely to be regretted. The 0.10 shown is a disclosed conservative ceiling for the access-constrained minority SERU flags, not an observed figure. Because both sides are now anchored on weak, non-equivalent proxies that land close together, the regret_delta (0.01) should be read as "no reliable signal that one side dominates," not as a finding. Aggregating "school assignment" and "job application" as one decision also papers over real differences in incentives, detection norms, and stakes, and the 2023→2025 norm shift in this domain has been faster than any other entry in the dataset, so this pair has an unusually short shelf life.
