How Consultants and Advisors Use AI in 2026: Benchmark of 1,892 People

How 1,892 consultants and advisors 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 · 1,892 people · Updated November 2, 2026

How consultants use AI: 13% are leaders: AI rolled out to their team or company (All respondents: 14%).

We asked 1,892 people who are consultants, agency owners, advisors and investors 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.

62%
are still early: just exploring or testing a few tools
All respondents: 63%
13%
are leaders: AI is rolled out to their team or used across their company
All respondents: 14%
34%
say their biggest blocker is picking the right tools
All respondents: 32%
32%
want AI to help them save time in the next 90 days
All respondents: 40%

Key findings

  • Consultants and advisors are close to the benchmark average. 13% are leaders, against 14% of all respondents, and 62% are still early.
  • The biggest blocker is picking the right tools (34%), followed by the skills gap (30%).
  • Their top goal is to save time (32%). More of them than average want to grow revenue: 17% against 14%.
  • ChatGPT is the most used AI tool (81% of those who named a tool), then Claude (70%) and Gemini (48%). Perplexity stands out: 21% use it, against 16% of all respondents.
  • Leaders lean on Claude. 75% of leaders use it, against 64% of those still early.

How far along consultants and advisors are with AI

The largest share of consultants and advisors say they are “just exploring” (35%). 8% say AI is used across their company and 5% are rolling it out to their team.

Consultants and advisors
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 consultants and advisors back

We asked for the single biggest blocker. Picking the right tools leads at 34%. If that is you too: shortlist tools by the job you need done.

Picking the right tools
34%all 32%
Skills gap
30%all 30%
No time
11%all 15%
Budget
6%all 6%
Results they can't trust
6%all 6%
AI moves too fast to keep up
6%all 5%
Security or legal concerns
4%all 3%
Tools didn't stick
2%all 2%
Getting the team on board
1%all 2%
  • Consultants and advisors
  • All respondents

What they want from AI in the next 90 days

32% want to save time, 31% want to build their AI skills and 17% want to grow revenue.

Save time
32%all 40%
Build AI skills
31%all 28%
Grow revenue
17%all 14%
Build an AI product
11%all 9%
Make better decisions
6%all 5%
Ship faster
1%all 2%
Cut costs
1%all 2%
  • Consultants and advisors
  • All respondents

The AI tools consultants and advisors use

People named 3.4 AI tools each on average. These are the 12 most used, as a share of the 1,738 people here who named at least one. Compare any of them in our AI tool database.

ChatGPT
81%all 79%
Claude
70%all 69%
48%all 47%
Canva
24%all 24%
21%all 16%
17%all 16%
Microsoft Copilot
12%all 12%
6%all 5%
Salesforce
4%all 6%
Grok
4%all 4%
Otter
4%all 4%
4%all 4%
  • Consultants and advisors
  • All respondents

What the leaders use differently

Leaders are the 248 consultants and advisors whose AI is rolled out to their team or used across their company. They named 3.7 tools each, against 3.1 for the 1,182 who are still early. These are the clearest differences.

ToolLeadersEarlyGap
Claude75%64%+11 pts
Microsoft Copilot16%9%+7 pts
Perplexity25%19%+6 pts
Notion AI8%4%+4 pts
  • Share of each group who use the tool. Leaders: 232 people, early: 1,062 people.

Where they use AI at work

Writing comes first (65%), then research (55%) and personal productivity (52%). People could pick several areas.

65%all 69%
55%all 54%
42%all 34%
32%all 32%
25%all 22%
23%all 21%
20%all 21%
Product
19%all 19%
Operations
16%all 24%
  • Consultants and advisors
  • All respondents
  • Asked July 20 to August 31, 2026: 1,080 answers.

Budget for a first AI project

38% are not sure yet. The most common amount named is under $500 (41%).

Under $500
41%all 37%
$500 to $5K
13%all 12%
$5K to $25K
4%all 6%
$25K to $100K
2%all 3%
$100K+
1%all 2%
Not sure yet
38%all 40%
  • Consultants and advisors
  • All respondents
  • Asked from September 1, 2026: 813 answers.

Who answered

54% decide, recommend or have a say in what their company buys.

Company size

Just me
59%all 35%
2 to 10
19%all 16%
11 to 50
5%all 10%
51 to 200
4%all 11%
201 to 1,000
3%all 9%
1,001 to 5,000
4%all 7%
5,000+
5%all 13%
  • Consultants and advisors
  • All respondents

Top industries

Professional services
29%all 18%
Marketing and media
10%all 9%
Financial services
10%all 8%
Software and tech
9%all 11%
Healthcare
9%all 11%
Education
9%all 10%
  • Consultants and advisors
  • All respondents

Say in what their company buys

Decide what to buy
33%all 27%
Buy just for themselves
27%all 20%
Not involved
19%all 27%
Recommend what to buy
11%all 14%
Have some say
10%all 12%
  • Consultants and advisors
  • All respondents

What leaders told The AI Report podcast

“About a third of content is not machine readable right now.”

Vivek Pandya, Director and Lead Insights Analyst, Adobe Digital Insights at Adobe. Check whether AI can actually read your website. Adobe's analysis of retail pages finds about a third of content is not machine-readable. Restructure and organize your content, including your home page, store locator, returns and FAQ pages, so it is clear to machines. Then make sure reviews, Reddit threads and social posts back up what your site claims, because AI agents cross-check before recommending you. Watch or read the episode.

“We figured that it was better to go more narrow and deep and really scale agents on what is our core process, which is recruitment.”

Denis Machuel, CEO at The Adecco Group. Adecco started with AI pilots scattered across the business, then switched to going narrow and deep: it picked its core process, recruitment, and scaled agents there first. If your pilots are spread thin, choose the one workflow that drives the business and go deep on it. 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, Students and career switchers.

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 1,892 consultants, agency owners, advisors and investors.

  • 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 1,738 people here who named at least one tool.
  • Where people use AI was asked from July 20 to August 31, 2026 (1,080 answers here).
  • Budget was asked from September 1, 2026 (813 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.