Gallup's survey of 17,874 US workers, fielded January 26 to March 24, 2026 and published October 6, found that among employees who use AI in their jobs, 56% say it helps them find more creative solutions and 47% say it gives them more time on the most interesting parts of their job. In the same survey, 52% of all employees said they have less influence over the adoption of new technology than they would like. The people using AI report real gains, and just over half of all employees want more say in which tools arrive.
What did Gallup find about who benefits from AI at work?
Gallup's AI users report more creative solutions, more time on the work they find interesting, and higher-quality work (46%), which are the reasons a designer takes the job in the first place.
The benefits concentrate among people who use AI often. Of daily or weekly users, 61% said AI gives them more time on the most interesting parts of the job, against 27% of people who use it less often. Meanwhile 54% of employees said they haven't used AI in their role at all.
Why does your team nod at a new tool and keep working the old way?
You probably chose the last tool for good reasons. You saw the hours it could save, set up the account, walked the team through it, and everyone agreed it looked useful. Three weeks later the project tracker is half-updated and the old spreadsheet is back in use.
Gallup reports the influence finding and the benefit findings separately. Our read is that in a small studio they describe one situation: the people who get the interesting-work benefit are the ones using AI every week, and people use a tool every week when it's doing a job they asked it to do. A tool that arrived as your decision is easy to agree with and easy to set aside.
Here a small studio has the advantage: with six people, you can ask everyone what they think in one afternoon and act on the answers the same week. Small Firms Can Do AI Governance Faster and Better than Enterprise Firms covers the same advantage from the policy side.
What should you ask your team before the next AI tool?
Ask each person three questions, one at a time:
- Which task do you put off every week because it drains you?
- If you had two more hours on Thursday, which part of your job would you spend them on?
- What would you need to see before you'd trust a draft from a tool on that task?
Let the most common answer to the first question pick the first task, and let the person who named it help set it up. Their answer to the third question is your review standard.
By the second week, the person who picked the task may hit one bad output and quietly go back to doing it by hand, so put a fifteen-minute check on the calendar for the end of week two and ask what went wrong. Gallup also found 31% of AI users had been asked to take on more responsibilities; if the reward for saving two hours is two hours of new work, people can learn to stop saving time. Agree before you start what the saved hours are for, whether that's design time, client time or leaving at six. The AI Productivity Paradox: Where the Saved Hours Go covers what happens when nobody decides.
Related questions
Why does AI adoption stall in a small team?
It can stall when the people doing the work weren't asked where AI should go. Gallup's 2026 survey found 52% of US employees have less influence over the adoption of new technology than they'd like.
What benefits do employees report from using AI at work?
In Gallup's 2026 survey of US workers, 56% of AI users said it helps them find more creative solutions, 47% said it gives them more time on the most interesting parts of their job, and 46% said it improves the quality of their work.
Do regular AI users benefit more than occasional ones?
Yes, in Gallup's 2026 data. Of daily or weekly AI users, 61% said AI gives them more time on the most interesting parts of the job, against 27% of people who use it less often.
How do I get my team to use a new AI tool?
Ask each person which weekly task drains them, let the most common answer pick the first task, and involve the person who named it in setting it up. Check in at the end of week two, and agree in advance what the saved time is for.
What this changes for a studio
The benefits your designers would want from AI are showing up for people who use it often, and as we read it, frequent use follows a tool that does a job someone asked it to do. Asking first is cheap in a small studio. AI and Workplace Culture: The Manager Decides covers the manager's side of the same question in Gallup's earlier culture data.
This week, ask your team the three questions above, in person and one at a time, and write the answers down. Pick one task from the answers and nothing else. If no one names a task worth automating, you've saved yourself a subscription, and you've learned what your team finds draining.
Working together
Flow State Found works with a limited number of businesses to make their best work their baseline. Your team said yes to the last tool, and you're still the only one logging into it. We help studios start from what the team says drains them, and build the first small system around that. We take on limited engagements, so it starts with a conversation.
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