Deixar a IA escrever seu trabalho escolar ou candidatura de emprego vs. escrever você mesmo
Se você agir
Usar IA para escrever o trabalho
11%
Se você não agir
Escrever você mesmo
10%
Porcentagem de quem mais tarde se arrepende de cada escolha. As barras e o registro completo aparecem abaixo.
Carreira
Última revisão 2026-05-28
Qualidade das evidências 4.0/5
Pontuação de revisão em oito dimensões segundo a
grelha de qualidade
. Cada dimensão pontuada de 1 a 5.
D1 Verificação das fontes
5/5
D2 Autoridade e independência das fontes
4/5
D3 Precisão da taxa de arrependimento
2/5
D4 Comparabilidade das fontes
3/5
D5 Padrão de Gilovich
4/5
D6 Qualidade da prosa
4/5
D7 Completude das ressalvas
5/5
D8 Qualidade da amostra
5/5
Média4.0/5
Dados proxy — não existe nenhuma pesquisa direta sobre arrependimento para esta decisão. As taxas são derivadas de pontuações de satisfação e dados de barreiras de acesso em vez de perguntas que perguntavam diretamente sobre arrependimento. Veja advertências abaixo.
Arrependimento por ação
Usar IA para escrever o trabalho
11%
Não existe pesquisa direta de arrependimento: nenhum estudo pergunta aos estudantes se se arrependem de usar IA em um trabalho. Os 11% medem, em vez disso, um resultado adverso concreto — pessoas em busca de emprego que usaram ChatGPT tiveram a vaga negada quando o entrevistador descobriu que a IA escreveu a candidatura (ResumeBuilder 2023). Os frequentemente citados 60% de estudantes usuários de IA que concordam que a IA prejudica o pensamento crítico (RAND dez. 2025) são uma crença sobre um dano geral, não arrependimento quanto a uma decisão específica, por isso deliberadamente NÃO são usados como a taxa
Estudantes dos EUA de 12 a 29 anos que usam IA para trabalhos escolares; separadamente, candidatos adultos a emprego nos EUA que usaram ChatGPT para currículos/cartas de apresentação
dezembro de 2025 (RAND); fevereiro de 2023 (ResumeBuilder)
Arrependimento por omissão
Escrever você mesmo
10%
Nenhuma fonte mede o arrependimento pela inação: nenhuma pesquisa pergunta aos estudantes que escreveram os próprios trabalhos se se arrependem disso, e os estudos citados não fornecem porcentagem para isso. O maior estudo com universitários (SERU) apenas alerta qualitativamente que os não usuários de IA 'podem ficar para trás', e a RAND constata que 78% dos não usuários acreditam que a IA é prejudicial — então a maior parte do não uso é de princípio, não motivo de arrependimento. Os ~10% mostrados são um piso conservador declarado para a minoria com acesso restrito que o SERU sinaliza, derivado de nenhuma estatística de fonte; leia-o como 'sem estimativa confiável', não como uma taxa observada
Estudantes dos EUA de 12 a 29 anos que não usam IA para trabalhos escolares
2024-2026
% se arrependem desta escolha
Usar IA para escrever o trabalhoEscrever você mesmo
11%10%
balanced — Mais ou menos equilibrado — ambas as opções implicam arrependimento semelhante.
Decisões relacionadas
Decisões semanticamente semelhantes — mesmo terreno, compromissos diferentes.
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.
Fontes: acção
Registro de evidências
Cada número abaixo é o que cada fonte relatou, com a citação literal em que nos baseamos e como chegamos ao nosso valor. Clique em qualquer link para verificar diretamente.
2/7 fontes verificadas de forma independente palavra por palavra em relação à fonte citada
[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
Fonte de referência
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
Trecho
“"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."
”
Dados da fonte de
2025-12-01
Acessado
2026-05-28
Cálculo
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
Verificado
Fonte de referência
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
Trecho
“"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."
”
Dados da fonte de
2023-02-07
Acessado
2026-05-28
Verificação
Trecho obtido novamente de forma independente e confirmado palavra por palavra em relação à fonte citada durante nossa auditoria de fundamentação.
Cálculo
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
Estudo primário
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
Trecho
“"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."
”
Dados da fonte de
2024-07-15
Acessado
2026-05-28
Cálculo
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?
Verificado
Fonte de referência
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
Trecho
“"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."
”
Dados da fonte de
2024-07-15
Acessado
2026-07-03
Verificação
Trecho obtido novamente de forma independente e confirmado palavra por palavra em relação à fonte citada durante nossa auditoria de fundamentação.
Cálculo
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
Fonte de referência
72% of student ChatGPT users agree that using ChatGPT to write college application essays is cheating
Trecho
“"72 percent of student ChatGPT users agree that using ChatGPT to write college application essays is cheating."
”
Dados da fonte de
2023-07-31
Acessado
2026-07-03
Cálculo
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
Fonte de referência
Only 18% of hiring managers correctly identified all three cover letter introductions as human- or ChatGPT-written (82% could not)
Trecho
“"only 18% got all three right" when asked to identify which cover letter introductions were written by ChatGPT versus humans.
”
Dados da fonte de
2023-04-01
Acessado
2026-07-03
Cálculo
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
Fonte de referência
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
Trecho
“"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."
”
Dados da fonte de
2025-05-20
Acessado
2026-07-03
Cálculo
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.
Fontes: inacção
Registro de evidências
Cada número abaixo é o que cada fonte relatou, com a citação literal em que nos baseamos e como chegamos ao nosso valor. Clique em qualquer link para verificar diretamente.
[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
Revisado por pares
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'
Trecho
“"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."
”
Dados da fonte de
2024-04-01
Acessado
2026-05-28
Cálculo
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
Fonte de referência
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
Trecho
“"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."
”
Dados da fonte de
2025-12-01
Acessado
2026-05-28
Cálculo
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.
Ressalvas
Nenhum dos lados tem uma pesquisa direta de arrependimento — nenhum estudo publicado pergunta "você se arrepende de ter usado IA no seu trabalho?" ou "você se arrepende de tê-lo escrito você mesmo?". Ambas as taxas exibidas são proxies declarados, não arrependimento medido. O lado da ação está ancorado no resultado adverso genuíno mais limpo disponível: 11% das pessoas em busca de emprego que usaram ChatGPT tiveram a vaga negada quando o entrevistador descobriu que a IA escreveu a candidatura (ResumeBuilder, fev. 2023). Essa cifra aplica-se apenas à coorte adulta de pessoas em busca de emprego e antecede as normas maduras de detecção pelos empregadores — em 2025 o campo já havia se deslocado para aceitar a IA como ferramenta de rascunho, penalizando ao mesmo tempo as submissões totalmente geradas por IA (pesquisas do TopResume e do ResumeBuilder com gestores de contratação) — de modo que se trata de um piso direcional, não de uma taxa precisa da coorte de trabalhos escolares. Os frequentemente citados 60% (parcela de estudantes usuários de IA que concordam que a IA prejudica o pensamento crítico, RAND dez. 2025) são deliberadamente NÃO usados como a taxa: são uma crença sobre um dano social geral, não arrependimento quanto a uma decisão específica, e o aumento de 14% no uso (48→62%), mesmo com essa preocupação subindo (54→67%), é evidência direta de preferência revelada de que a crença no dano e o arrependimento pessoal divergem. O ECR de Bastani et al. (agora publicado na PNAS, 2025) mostra erosão real de habilidade — estudantes com ChatGPT sem restrições tiveram pontuação 17% menor em uma prova subsequente sem IA e não reconheceram a perda — o que significa que qualquer arrependimento autorrelatado subestimaria o verdadeiro dano ao desenvolvimento de habilidades; é um resultado de terceiros a partir de uma amostra turca, usado como evidência de mecanismo, e não como taxa de arrependimento dos EUA. O lado da inação é o mais carente de dados no par: NENHUMA fonte fornece uma porcentagem de arrependimento entre estudantes que escreveram os próprios trabalhos. O estudo SERU apenas alerta qualitativamente que os não usuários de IA "podem ficar para trás", e a RAND mostra que 78% dos não usuários acreditam que a IA é prejudicial, de modo que a maior parte da abstenção é de princípio e improvável de gerar arrependimento. Os 0,10 mostrados são um teto conservador declarado para a minoria com acesso restrito que o SERU sinaliza, não uma cifra observada. Como ambos os lados estão agora ancorados em proxies fracos e não equivalentes que caem próximos um do outro, o regret_delta (0,01) deve ser lido como "nenhum sinal confiável de que um lado domina", e não como uma constatação. Agregar "trabalho escolar" e "candidatura a emprego" como uma única decisão também encobre diferenças reais de incentivos, normas de detecção e riscos, e a mudança de norma de 2023→2025 neste domínio foi mais rápida do que a de qualquer outra entrada do conjunto de dados, de modo que este par tem uma vida útil excepcionalmente curta.
