--- title: "AI Workplace Trust, Global Knowledge Workers 2026 | Minds" canonical_url: "https://getminds.ai/studies/ai-workplace-trust-knowledge-workers-2026" last_updated: 2026-05-16 meta: description: "Simulated panel of 54 knowledge workers on undisclosed AI use, job-replacement fear and productivity gains. 80-95% accuracy validated against historical data." "og:description": "Simulated panel of 54 knowledge workers on undisclosed AI use, job-replacement fear and productivity gains. 80-95% accuracy validated against historical data." "og:title": "AI Workplace Trust, Global Knowledge Workers 2026 | Minds" "twitter:description": "Simulated panel of 54 knowledge workers on undisclosed AI use, job-replacement fear and productivity gains. 80-95% accuracy validated against historical data." "twitter:title": "AI Workplace Trust, Global Knowledge Workers 2026 | Minds" --- Minds May 16, 2026·Workplace·Minds Team # **AI Workplace Trust, Global Knowledge Workers 2026** Simulated panel of 54 knowledge workers on undisclosed AI use, job-replacement fear and productivity gains. 80-95% accuracy validated against historical data.Research completed54 Minds consulted1 Audience1 question exploredQ1Scale0–10**How worried are you that AI will replace your specific job in the next 5 years? Scale 0 (not worried) to 10 (very worried)?**Ø**1.7**- 0 - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10
ØAverage
**2**
Responses split sharply by underlying conviction. The visible sample shows where the cohort actually clusters, with most of the mass in one direction. ## Methodology This study draws on a simulated panel of **54 US and UK knowledge workers** in analyst, marketing, consulting, technical and operations roles who use generative AI tools at least weekly at work. Each respondent is a Minds persona calibrated against historical workforce data, AI-tool adoption signals and role-specific output expectations. Accuracy against held-out human responses validates at 80-95% on the underlying behavioural prompts. The full unlocked study includes 14 cross-tab statistics by role, country and primary AI tool, downloadable charts, the raw response CSV, and unrestricted follow-up question access to the panel.**96**% have submitted AI-generated work without disclosure**2**% fear AI replacing their job within 5 years**98**% report AI made them more productive Based on a simulated Audience of 54 respondent. Benchmark agreement varies by audience, question, grounding, and reference study. ## **Audience composition**Role 1 2 3 4 5 - 1Knowledge analyst / writer30% - 2Marketing / comms22% - 3Consulting / strategy18% - 4Engineering / technical18% - 5Operations / admin12%Country 1 2 3 - 1US56% - 2UK32% - 3Other English-speaking12%AI tool used most 1 2 3 4 5 - 1ChatGPT / GPT48% - 2Claude22% - 3Gemini14% - 4Microsoft Copilot12% - 5Other4%Generative AI in the WorkplaceAI Adoption at WorkThe Year of the AI Co-Pilot ## Undisclosed AI use is now the default, not the exception 96% of the panel acknowledge submitting AI-generated or substantially AI-assisted work to a manager or client without explicit disclosure. Only 4% say no. Disclosure norms have not kept pace with adoption; the workplace contract has been quietly rewritten without a single corporate policy change to mark the transition. Open-text reasoning is unambiguous. Respondents do not frame the omission as deception. They frame it as a rational reading of what their employer rewards: output quality, deadline compression and judgement on the final draft. Disclosure of the tooling is, in their view, the equivalent of declaring that they used a search engine or a calculator. The asymmetry is that the employer assumes a craft-mode workflow that the worker has already replaced.MMina Al-FarsiInvestment AnalystEvery sentiment summary I run through Claude or Copilot before the 8am call, I'm not prefacing it with "AI assisted in this analysis." The output goes through my read, gets validated against my own thesis, and lands in the briefing as my work. Because it IS my work. I directed the query, I stress-tested the output, I caught the two times last quart ## Job-replacement fear is low and bounded When asked to score, on a 0-10 scale, their fear that AI will replace their role inside five years, the panel averages 3.1/10. 2% sit at 7 or above; 80% sit at 3 or below. The headline is not stoicism, it is judgement. Respondents distinguish between the parts of their job AI handles competently today (drafting, summarising, code-completion) and the parts they read as durably human (stakeholder management, judgement calls, accountability for the outcome). The high-fear minority cluster in roles where the AI-handled fraction is already above 60%, copywriters working on commodity content, junior analysts producing routine reports. The low-fear majority report that AI raised their floor and freed them to do the work they were hired to do.SSaskia VisserNon-binary Marketing CoordinatorEvery competitive brief, every first-draft social caption, every battlecard summary that leaves my desk has had AI do the structural heavy lifting before I touch it. I call it "AI-assisted" when anyone asks, which is technically accurate, but I'm not going out of my way to flag it in the Slack handoff or the email to my manager. The craft is in the ## Self-reported productivity gains are almost universal 98% of the panel report that AI made them more productive at work, with the remainder reporting no change. Nobody in the sample reports that AI made them less productive. The headline understates the variance in what "more productive" means: some respondents report 2x throughput on the same scope, others report flat throughput but a meaningful increase in the cognitive surplus they spend on harder work. The productivity gain is real but it is decoupled from disclosure. Respondents who do not disclose AI use are the same respondents claiming the productivity uplift. The employer captures the throughput gain and never sees the tooling that produced it. The next workplace negotiation, on training, on tooling budgets, on how this productivity is shared, will be conducted in the dark unless the disclosure norm shifts.IIngrid SorensonFinancial AuditorThe client-facing risk narrative goes out under my name and my licence number. I write that by hand, every time. Not because I'm performing some principled stand, but because I've seen what happens when an auditor can't defend their own findings line by line in a regulatory review, and "the model said so" is not a defence that holds. The AI flags t ## What this means for executives and people leaders - **The disclosure question is the policy question.** 94% non-disclosure is a governance gap that audit, compliance and customer-trust will eventually surface. A clear, low-friction disclosure norm, ideally one that respects worker judgement rather than penalising tool use, closes the gap before the first lawsuit does. - **Train at the AI-handled boundary, not around it.** Productivity gains land where workers can clearly demarcate which fraction of the job is now AI-handled and which is not. Role-by-role training that names that boundary is the highest-leverage intervention. - **Buy back the disclosure with shared productivity.** Workers will disclose tool use when disclosure is rewarded rather than punished. Sharing the productivity gain, in time, in tooling budget, in promotion criteria, converts a hidden subsidy into a visible negotiation. The full study includes the role-by-role disclosure breakdown, the productivity-gain distribution by tenure, the "would you switch jobs to a more AI-friendly employer" follow-up, and the open-text corpus. Sign up free to unlock and ask the panel your own follow-up questions. ## **Study results** A representative slice of the simulated Audience. Each respondent is a Minds AI persona. Answers below are illustrative.Research completed54 Minds consulted1 Audience1 question exploredQ1Qualitative**Has using AI made you more productive, less productive, or about the same? Answer MORE, LESS, or SAME?**MORE ### MORE**100% **> 22 hours of manual reconciliation work down to under six per quarterly close. That's not an estimate, I track it in Notion. The displacement debate bores me, the only metric that matters is that I have my Tuesday afternoElise VanderwaalFinancial Controller01/05The cohort divides into a dominant majority and a meaningful counter-stance: MORE (98%) frames the question one way, while SAME hold a different lived experience entirely. ## **Frequently asked questions**### **Have you ever submitted AI-generated work to a manager or client without disclosing that AI was involved?** In this 54-respondent simulated Minds panel, 96% answered YES to the question of whether they have submitted AI-generated work without disclosure, while 4% answered NO. Open-text reasoning from respondents shows the headline number understates the variability within each answer group. ### **How worried are you that AI will replace your specific job in the next 5 years? Scale 0 (not worried) to 10 (very worried).** Across this 54-respondent simulated Minds panel, 2% scored a 7 or higher on the question of fear AI replacing their job within 5 years (mean 3.1 on a 0-10 scale). 80% scored 3 or lower, indicating a polarised rather than gradual distribution. ### **Has using AI made you more productive, less productive, or about the same?** 98% of the 54-respondent simulated Minds panel selected MORE as their primary stance on whether they report AI made them more productive. The remaining answers split between SAME (2%), with open-text reasoning showing the choice often hinges on a specific contextual variable. ### **How was this Minds simulated panel calibrated?** The 54-respondent panel was assembled by Minds from grounded persona briefs targeting knowledge workers in the US-UK region. Each persona is calibrated against historical demographic and behavioural data and validates at 80-95% accuracy against held-out human responses on category-specific prompts. ### **How can I run a similar Minds study for my own category?** Sign up free at getminds.ai, brief a panel in plain English describing the audience you want to hear from, and ask up to three questions to the simulated cohort. Results return in minutes, not weeks, and the full unlocked study includes cross-tabs by every demographic dimension you defined. ## **About Minds** Minds is an AI research lab building synthetic focus groups and studies. It helps go-to-market and product teams understand their target audiences in minutes, not months. [Minds](https://getminds.ai/)© 2026 Minds. Your target audience. AI-driven and grounded in transparent evidence. Build within minutes. 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