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Use AI to prepare work—such as drafting, summarizing, organizing, or generating options—but keep a person responsible for the goal, the checks, the final decision, and its consequences. The safest starting point is a task you understand, where mistakes are easy to catch and the cost of an error is limited.
Which work tasks should you give to AI?
AI is most useful as support for work you can evaluate yourself. It can produce a first draft, summarize material, outline a document, brainstorm alternatives, or reformat information. Treat the result as a proposal, not as evidence that the work is correct. Make sure you have permission to enter the relevant information into the tool, and follow your employer’s AI, privacy, and data-handling rules.
Workplace productivity gains are not guaranteed. Microsoft Research’s July 2024 report synthesizes more than a dozen studies in real workplaces and finds that effects vary by role, function, organization, adoption, and utilization. A tool that saves time on one task may add review work—or be unsuitable—on another. Microsoft Research’s report on generative AI in real-world workplaces discusses those varied effects.
Adoption figures are snapshots, not a forecast for your job. In Microsoft and LinkedIn’s 2024 Work Trend Index, 75% of surveyed global knowledge workers said they used generative AI; that report described research involving 31,000 people across 31 countries. The figure describes that survey and year, not current usage or an expected productivity increase for any individual. The 2024 Work Trend Index provides the survey context.
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How do you decide whether a task is suitable?
Before handing off work, assess four things: how repeatable it is, what harm an error could cause, how readily you can detect an error, and whether speed matters. Microsoft Support offers these factors as a guide to choosing between an AI assistant or agent and human-led work. Microsoft’s decision guide recommends partial automation or human-led work with AI support when verification is difficult.
| Approach | Speed | Risk and accuracy | Accountability |
|---|---|---|---|
| Automate a repeatable, low-consequence task | Can be faster, especially when the task is routine | Appropriate only when errors are easy to detect and correct; review the result | A person remains responsible for deciding whether the output is fit to use |
| Use AI for support while keeping the task human-led | May speed up preparation, such as drafting or organizing | Useful when the work needs judgment or verification; the person checks the AI’s contribution | The person owns the analysis and final decision |
| Keep the task fully human-led | May take longer | Preferable when errors are hard to spot or could cause significant harm, and AI support would not make the work safely verifiable | The person performs and owns the work |
This is a decision aid, not a guarantee that a particular task is safe to automate. A task’s risk depends on its context and consequences. For consequential work, use AI at most to prepare material that a qualified person can independently check.
How can you use AI without losing critical thinking?
Keep your own purpose and standards in view. Tell the tool what you need, but do not let a fluent answer decide what matters. Compare its suggestions with your knowledge of the work, and ask what assumptions or missing context could change the answer. If you cannot judge whether the result is sound, do not treat it as ready for use.
Microsoft’s 2026 Work Trend Index reports that 86% of surveyed AI users said they treat AI output as a starting point rather than a final answer and remain responsible for the thinking. In the same report, 50% named quality control of AI output and 46% named critical thinking as important human skills as AI takes on more work. The survey covered 20,000 AI-using workers in 10 countries. These are survey responses, not proof that every respondent reviews every output consistently or a prediction of what will happen in your role. Read Microsoft WorkLab’s 2026 Work Trend Index report.
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsHow do you check AI-generated work before sending it?
Use a review routine matched to the stakes. Do not rely on confident tone, plausible detail, or a polished format as evidence of accuracy.
- Check important claims. Verify factual statements against trusted sources, especially claims that affect a decision or someone’s work.
- Test the parts that can fail silently. Recheck calculations and test code in the appropriate environment before relying on them.
- Check fit and context. Confirm the output answers the actual question, reflects the relevant circumstances, and suits its intended audience.
- Remove unsupported material. Delete claims, assumptions, or details you cannot substantiate rather than passing them along because the draft sounds convincing.
- Own the handoff. Before sharing or acting on the result, decide that it is fit for purpose and accept responsibility for how it is used.
For work where a mistake could cause substantial harm, a quick proofread is not enough if the underlying claims cannot be independently checked. Keep that work human-led or limit AI to preparation that does not substitute for the required judgment.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should you do when the stakes or rules are unclear?
Pause before entering sensitive information or relying on AI for a consequential decision. Check your organization’s rules for approved tools, privacy, and data handling, and ask the relevant manager or specialist if you do not know whether a use is allowed. NIST describes its AI Risk Management Framework as voluntary guidance for incorporating trustworthiness considerations into the design, development, use, and evaluation of AI systems; it is a general framework, not a statement of your employer’s policy. NIST’s AI Risk Management Framework explains its purpose.
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