Key points
- Many workers are worried about AI, and most organizations have not explained their plans. You are not alone in wanting to ask.
- Go in with facts about your own work: which tasks AI could help with and which need you.
- Offer something, such as a small trial, not just a question.
- Ask about training, rules and how roles may change.
- Keep notes and follow up in writing.
Why this conversation matters now
AI is arriving at work faster than most employers are explaining it.
Gallup found that as of May 2026, “15% of U.S. employees use AI daily in their role,” and “30% use it a few times a week or more.” Yet only “25% of U.S. employees say their organization has communicated a clear plan.”
Workers are uneasy. In a Pew Research Center survey of 5,273 US workers, “about half of workers (52%) say they’re worried about the future impact of AI use in the workplace, and 32% think it will lead to fewer job opportunities for them.”
Many people are also using AI on their own. Microsoft and LinkedIn’s 2024 Work Trend Index, a survey of 31,000 people in 31 countries, found that “75% of knowledge workers use AI at work today” and “78% of AI users are bringing their own AI tools to work.” Only “39% of people globally who use AI at work have gotten AI training from their company.”
That gap between use, worry and clear plans is why the conversation is worth having. Managers often have questions too.
Before the conversation: do your homework
List your tasks
Write down what you do in a typical week and roughly how long each task takes. Sort them:
- tasks AI could do or speed up,
- tasks AI could help with,
- tasks that clearly need you.
Look up your job on NeedsAHuman to see how its official task list splits. Use that as a starting point, not a verdict on you.
Know the rules
Check whether your employer has an AI policy. Find out which tools are approved and what data must never go into them. If you already use AI on your own, be ready to say so honestly.
Pick one idea
Choose one task where AI could clearly save time or improve quality. Something low-risk and measurable is best: a weekly report, meeting notes, first drafts, data cleanup.
In the conversation
Open with your goal
Managers respond better to “I want to do my job better” than to “Am I going to be replaced?” You can still ask the second question. Just start with the first.
A simple script
“I’ve been thinking about how AI might affect our work. I made a list of my tasks and where I think AI could help. I’d like to try it on [task] for a month and report back on time saved and quality. I’d also like to understand how you see our roles changing, so I can build the right skills.”
Questions worth asking
- Which AI tools are we allowed to use, and for what?
- Is there training, or budget for it?
- How do you see this team’s work changing over the next year or two?
- Which skills would make me more valuable here?
- If AI saves time on some tasks, what would you want me to spend that time on?
- How will we decide what AI should and should not do?
If you are worried about your role
It is fair to ask directly. Keep it calm and specific:
“I’ve seen that AI can do some of what I do, like [task]. I’d like to understand whether that changes what you need from me, and what I could take on instead.”
Your manager may not know the answer. That is useful information too. Ask when you could revisit the question.
What to offer
Bring something, not just questions:
- A trial. One task, one tool, a set period, a simple measure.
- A summary. Share what you learn with the team.
- Checking. Offer to review AI output for quality and errors. Someone needs to.
- Training others. If you are ahead, help colleagues catch up.
Gallup found that employees with strongly supportive managers are “7.4x as likely to strongly agree that AI gives them more opportunities to do what they do best.” Making it easy for your manager to support you helps you both.
If you are the manager
Many managers are working this out too. A few principles:
- Say what you know and what you don’t. Silence breeds rumor.
- Set clear rules on approved tools and data.
- Invite trials and share results openly.
- Talk about roles, not just tools. People want to know what their job will look like.
- Protect learning. If AI takes the tasks juniors used to learn on, give them other ways to build judgment.
After the conversation
- Write a short follow-up email summarizing what you agreed.
- Run the trial and keep simple notes: time before and after, errors found, quality.
- Report back on the date you agreed.
- Keep building skills. See Which AI skills employers want and How to future-proof your career against AI.
What workers say AI saves
If you need a sense of scale, the US Census Bureau asked workers in March 2026. “About 56% of U.S. workers said they have used Artificial Intelligence (AI) on the job for at least one of 11 tasks.” Among people who used it in the previous week, “a quarter said AI saved them less than an hour and 31% said AI saved them one to two hours.”
Modest, real savings are a good, honest starting point for a conversation.
Sources
- Gallup, “Global Indicator: Artificial Intelligence”, data as of May 2026. https://www.gallup.com/699797/indicator-artificial-intelligence.aspx
- Pew Research Center, “U.S. Workers Are More Worried Than Hopeful About Future AI Use in the Workplace”, 25 February 2025. https://www.pewresearch.org/social-trends/2025/02/25/u-s-workers-are-more-worried-than-hopeful-about-future-ai-use-in-the-workplace/
- Microsoft and LinkedIn, “2024 Work Trend Index”, 8 May 2024. https://news.microsoft.com/2024/05/08/microsoft-and-linkedin-release-the-2024-work-trend-index-on-the-state-of-ai-at-work/
- US Census Bureau, “AI use at work”, 11 August 2026. https://www.census.gov/library/stories/2026/08/ai-use-at-work.html