How Students and Career Switchers Use AI in 2026: Benchmark of 541 People

How 541 students and career switchers use AI at work: how far along they are, what holds them back, the tools they use and what leaders do differently.

The AI Report benchmark · 541 people · Updated November 2, 2026

How students use AI: 10% are leaders: AI rolled out to their team or company (All respondents: 14%).

We asked 541 people who are students and people switching careers how they use AI at work. They answered The AI Report’s Where You Stand benchmark between July 20, 2026 and November 2, 2026. Here is how far along they are, what holds them back, what they want from AI next and which tools the most advanced teams use, compared with all 14,452 people in the benchmark.

82%
are still early: just exploring or testing a few tools
All respondents: 63%
10%
are leaders: AI is rolled out to their team or used across their company
All respondents: 14%
36%
say their biggest blocker is picking the right tools
All respondents: 32%
31%
want AI to help them build their AI skills in the next 90 days
All respondents: 28%

Key findings

  • Students and career switchers are behind everyone else in the benchmark. 10% are leaders, against 14% of all respondents, and 82% are still early.
  • The biggest blocker is picking the right tools (36%), followed by the skills gap (28%). More people here name keeping up with how fast AI moves: 12% against 5% across the benchmark.
  • Their top goal is to build their AI skills (31%). More of them than average want to build an AI product: 20% against 9%.
  • ChatGPT is the most used AI tool (81% of those who named a tool), then Claude (63%) and Gemini (58%). DeepSeek stands out: 11% use it, against 2% of all respondents.

How far along students and career switchers are with AI

The largest share of students and career switchers say they are “just exploring” (66%). 6% say AI is used across their company and 4% are rolling it out to their team.

Students and career switchers
All respondents
  • Just exploring
  • Testing a few tools
  • Using 1 to 3 tools for real
  • Rolling out to their team
  • Used across the company
  • Helping others with AI

What holds students and career switchers back

We asked for the single biggest blocker. Picking the right tools leads at 36%. If that is you too: shortlist tools by the job you need done.

Picking the right tools
36%all 32%
Skills gap
28%all 30%
AI moves too fast to keep up
12%all 5%
No time
9%all 15%
Budget
7%all 6%
Security or legal concerns
4%all 3%
Tools didn't stick
2%all 2%
Getting the team on board
2%all 2%
  • Students and career switchers
  • All respondents

What they want from AI in the next 90 days

31% want to build their AI skills, 26% want to save time and 20% want to build an AI product.

Build AI skills
31%all 28%
Save time
26%all 40%
Build an AI product
20%all 9%
Grow revenue
12%all 14%
Make better decisions
9%all 5%
Ship faster
1%all 2%
Cut costs
under 1%all 2%
  • Students and career switchers
  • All respondents

The AI tools students and career switchers use

People named 3.9 AI tools each on average. These are the 12 most used, as a share of the 484 people here who named at least one. Compare any of them in our AI tool database.

ChatGPT
81%all 79%
Claude
63%all 69%
58%all 47%
Canva
26%all 24%
26%all 16%
18%all 16%
Microsoft Copilot
11%all 12%
11%all 2%
Grok
10%all 4%
9%all 5%
Power BI
6%all 7%
Lovable
5%all 2%
  • Students and career switchers
  • All respondents

What the leaders use differently

Leaders are the 54 students and career switchers whose AI is rolled out to their team or used across their company. They named 3.7 tools each, against 3.7 for the 441 who are still early. These are the clearest differences.

ToolLeadersEarlyGap
ChatGPT68%82%-14 pts
  • Share of each group who use the tool. Leaders: 50 people, early: 394 people.

Where they use AI at work

Writing comes first (63%), then research (55%) and personal productivity (47%). People could pick several areas.

63%all 69%
55%all 54%
37%all 32%
30%all 34%
27%all 21%
Product
25%all 19%
19%all 22%
18%all 21%
Operations
13%all 24%
  • Students and career switchers
  • All respondents
  • Asked July 20 to August 31, 2026: 541 answers.

Who answered

30% decide, recommend or have a say in what their company buys.

Company size

Just me
81%all 35%
2 to 10
8%all 16%
11 to 50
3%all 10%
51 to 200
3%all 11%
201 to 1,000
3%all 9%
1,001 to 5,000
2%all 7%
5,000+
1%all 13%
  • Students and career switchers
  • All respondents

Top industries

Education
26%all 10%
Marketing and media
14%all 9%
Nonprofits and government
12%all 9%
Healthcare
10%all 11%
Software and tech
9%all 11%
Retail and e-commerce
7%all 6%
  • Students and career switchers
  • All respondents

Say in what their company buys

Buy just for themselves
36%all 20%
Not involved
34%all 27%
Decide what to buy
18%all 27%
Recommend what to buy
7%all 14%
Have some say
5%all 12%
  • Students and career switchers
  • All respondents

What leaders told The AI Report podcast

“You understand that you are now delegating your work to AI. It's not another tool.”

Roy Mann, Co-founder at monday.com. Most of the shift is mental. A developer on Roy's team was frightened when an agent began shipping UI fixes faster than he could read the requests. A week later he was happy, because he had stopped competing with the agent and started operating it. Treat AI as work you delegate, not as a better search box. Watch or read the episode.

“Until you see examples, your brain doesn't come up with use cases.”

Andrew Warner, Founder at Mixergy. Be honest about the learning curve. Andrew says that right now, AI tools mostly don't save time on net. It can take a long time exploring to find something that saves ten minutes a day, but that exploring is how you learn. One way to find real uses is to get together with friends or colleagues and have them show what they've built. Watch or read the episode.

“Most average business users don't understand what they've just allowed there, which is suddenly that thing can access all of that data.”

Cillian Kieran, CEO and Founder at Ethyca. Think before you click accept on an AI connector. Linking an assistant to your CRM, Stripe, QuickBooks or Shopify can quietly give it access to everything in those systems. Cillian describes how, over ten or twelve weeks of casual questions, a small store owner could move sensitive purchase and card data across boundaries it shouldn't cross without realizing it. Understand exactly what you are permitting before you connect a system, and limit access to what the task actually needs. Watch or read the episode.

Next steps

The AI Report benchmark

How do you compare?

Answer the same nine quick questions as these 14,452 people. See which of five AI types you are, how you compare with readers like you, and get a free 30-day AI roadmap by email.

Free. You also get The AI Report, the five-minute AI briefing, every weekday. Unsubscribe anytime.

Compare with other groups

The full benchmark: AI at Work Benchmark 2026, with every industry, role and company size side by side.

By industry: Professional services, Healthcare, Software and tech, Education, Marketing and media, Manufacturing, Nonprofits and government, Financial services, Retail and e-commerce, Real estate, Legal.

By role: Executives and founders, Directors, Managers and team leads, Individual contributors, Consultants and advisors.

By company size: Solo professionals, Small businesses (2 to 50), Mid-size companies (51 to 1,000), Large enterprises (1,001+).

About this data

These numbers come from The AI Report’s Where You Stand benchmark. Between July 20, 2026 and November 2, 2026, 14,452 people completed it. This page covers the 541 students and people switching careers.

  • Answers are self-reported. People chose their own industry, role, company size and stage.
  • “Early” means just exploring or testing a few tools. “Leaders” means AI is rolled out to their team or used across their company.
  • People could pick more than one tool, so tool shares add up to more than 100%. Tool shares are out of the 484 people here who named at least one tool.
  • Where people use AI was asked from July 20 to August 31, 2026 (541 answers here).
  • The role question changed on September 1, 2026. We grouped the old and new answers into six role groups.
  • Percentages are rounded to whole numbers.
  • We never publish individual answers. A group only gets a page with 100 or more people, and we only compare groups of 30 or more.
  • People who take an AI newsletter's quiz are more interested in AI than the average worker, so read these numbers as a benchmark of people actively working on AI, not a national average.

Last updated November 2, 2026. To cite this page: The AI Report, AI at Work Benchmark 2026, theaireport.ai/tools/benchmark.