AI in sales statistics: adoption and impact

AI-in-sales statistics range from “almost every sales team uses AI” to “fewer than one in five businesses do.” Both can be true, because they measure different things: different people, different definitions of “use” and very different samples.

This page sorts the verified data into five groups: how many businesses use AI, how sales teams use it, what controlled studies have measured, how buyers use it, and what’s holding teams back. Each figure says who was surveyed and when, so you can judge it for yourself.

Methodology: We only include figures we could trace to the original source; each links to it. Surveys run by companies that sell AI or sales software are labeled as vendor research. Predictions are labeled as predictions. Last checked October 2026.

How many businesses use AI

Government data gives the most conservative and most representative picture.

• 19.8% of US businesses reported using AI in a business function as of May 3, 2026, and the rate stayed between 17% and 20% from December 2025 to May 2026 — US Census Bureau (Business Trends and Outlook Survey, 2026)
• 37% of firms with 250 or more employees used AI, compared with under 20% of firms with four or fewer employees — US Census Bureau (May 2026)
• 39.7% of businesses in the information sector used AI, compared with about 14% in retail — US Census Bureau (May 2026)
• About 41% of the US workforce used generative AI for work in November 2025, though only about 12% used it daily — Federal Reserve Board, FEDS Notes (April 2026, summarizing the Real-Time Population Survey)
• About 78% of the labor force works at firms that have adopted AI, because big employers adopt first — Federal Reserve Board (2026, citing the Atlanta Fed’s Survey of Business Uncertainty, November 2025)
• 58% of small businesses said they use generative AI, up from 40% in 2024 — US Chamber of Commerce (August 2025; sample size not stated in the release)
• 75% of small and medium-sized businesses said they are investing in AI — Salesforce SMB Trends (published 2025, 3,350 SMB leaders worldwide; vendor research)

Note that the Census Bureau changed its AI question in November 2025 to ask about use “in any business function,” so older Census figures aren’t directly comparable. The Fed note also warns that firm-level, worker-level and generative-AI-only surveys measure different things and shouldn’t be compared directly.

What this means for your team: If you run a small contractor, lawn care or real estate business and haven’t adopted AI tools, you’re closer to the norm than the headlines suggest. That gives you time to adopt carefully: pick one or two jobs where AI saves real hours, rather than buying every tool at once.

AI in sales teams

Sales teams adopt faster than the average business, according to vendor surveys of sales professionals.

• 54% of sales teams already use AI agents, and 34% more expect to within two years — Salesforce State of Sales (2026 edition, 4,050 sales professionals in 22 countries surveyed Aug–Sep 2025; vendor research)
• 34% of sales teams with agents use them for prospecting, and 34% use them for coaching — Salesforce (2026 edition)
• 1.7x: high performers were 1.7 times more likely than underperformers to use prospecting agents — Salesforce (2026 edition)
• 8% of sales reps said they don’t use AI at all — HubSpot State of Sales (2025, 1,000+ global sales professionals; vendor research)
• 84% of sales pros said AI saves time and optimizes processes, and 83% said it personalizes prospect interactions — HubSpot (2025)
• 69% of leaders and 45% of employees use AI regularly (at least several times a week) — Microsoft Work Trend Index (2025, 31,000 workers in 31 markets surveyed Feb–Mar 2025)
• 81% of leaders expect AI agents to be moderately or extensively part of their AI strategy within 12–18 months — Microsoft (2025)

The gap between these numbers and the Census figures is partly about samples: Salesforce’s survey, for example, only includes companies with 21 or more employees, and “using AI” can mean anything from a chatbot to an autonomous agent.

What this means for your team: The most common sales uses are unglamorous: drafting outreach, summarizing calls and records, and prospecting research. These are also the easiest to check. Exa’s AI assistant answers questions about your CRM data, summarizes leads and deals with risks and next steps, and drafts replies and quotes, which covers the jobs most teams start with.

Measured impact

Survey correlations are common; controlled studies are rare. Here are both, labeled.

• 3.7x: sellers who effectively partner with AI tools were 3.7 times more likely to meet quota — Gartner (2024, 1,026 B2B sellers surveyed Jan–Mar 2024)
• 2.6x: sales organizations that give sellers AI-enabled next best actions were 2.6 times more likely to achieve commercial growth — Gartner (published May 2026, 227 chief sales officers surveyed Aug–Sep 2025)
• 2.4x: organizations that prioritize upskilling sellers on AI were 2.4 times more likely to achieve strong revenue growth — Gartner (same survey)
• 14%: a generative AI assistant raised customer support agents’ productivity (issues resolved per hour) by 14% on average, and by 34% for novice and lower-skilled workers, with minimal impact on the most experienced — NBER Working Paper 31161 (2023, 5,179 customer support agents)
• 0% to 16.3%: across randomized field experiments in seven workflows at a large online retailer, the effect of generative AI on sales ranged from no detectable impact to 16.3% — Fang et al., arXiv (2025, experiments run 2023–2024 covering millions of users)
• 29% of leaders and 20% of employees said AI saves them at least an hour a day — Microsoft Work Trend Index (2025)
• 88% of sales pros with AI agents said AI makes them more productive — Salesforce State of Sales (2026 edition)

The Gartner multipliers come from surveys and show association, not cause: teams that are good at selling may also be good at adopting tools. The NBER and arXiv studies are stronger evidence because they compare groups with and without AI. Both found gains that depend heavily on the job and the person, and the retail experiments found gains mainly where AI added something the business wasn’t already doing well.

What this means for your team: Expect the biggest gains on newer reps and on tasks you currently do badly or not at all, like writing up every call or reviewing stalled deals weekly. Measure before and after on one workflow at a time.

Buyers use AI too

• 45% of B2B buyers used generative AI during a recent purchase, mainly to gather information on vendors and products — Gartner (published May 2026, 645 B2B buyers surveyed Aug–Sep 2025)
• 69% of B2B buyers prefer to validate AI-generated insights with sales reps — Gartner (same survey)
• 51% of buyers said they’re more likely to encounter misleading information from generative AI, and 49% said the same of sales reps — Gartner (same survey)
• 94% of B2B buyers used large language models to summarize reviews or analyze data during their purchase — 6sense (2025, 4,000+ B2B buyers; vendor research)

What this means for your team: Your prospects may arrive having already asked a chatbot about you. Clear, specific information on your website and in your quotes helps both the AI summary and the human reading it. Buyers still want a person to confirm what the AI told them, which is a strong argument for answering fast and accurately.

Concerns and limits

• 52% of US workers said they’re worried about the future impact of AI in the workplace, and 36% said they’re hopeful — Pew Research Center (2025, 5,273 employed US adults surveyed Oct 2024)
• 63% of US workers said they don’t use AI much or at all in their job, and 16% said they use it for at least some of their work — Pew Research Center (same survey)
• 51% of sales pros said security concerns delayed AI initiatives — Salesforce State of Sales (2026 edition)
• 46% of sales pros with AI agents said data quality issues hurt their sales — Salesforce (2026 edition)
• Fewer than 40% of sellers will report that AI agents improved their productivity by 2028, even as agents outnumber sellers tenfold, Gartner predicts — Gartner (prediction, November 2025)

What this means for your team: The risks are practical: bad data in, wrong answers out; customer data shared with tools you haven’t vetted; and automation that sends things nobody reviewed. Keep a human approving anything that sends a message, changes a record or involves money. In Exa, the AI assistant only creates tasks, notes, messages, appointments or automations after you confirm an action card, and it respects each user’s role and permissions. Our posts on human-in-the-loop AI and using AI with customer data go deeper.

Final thoughts

The verified data tells a more measured story than the hype. Fewer than one in five US businesses report using AI in a business function, though sales teams and larger firms are well ahead. The strongest studies find real productivity gains, largest for less experienced people and for work that wasn’t being done well before. And buyers, who now use AI themselves, still want a human to confirm what they’ve learned.

For a small team, that suggests a simple plan: clean up your CRM data, pick one or two time-consuming jobs for AI, keep a person in the loop, and measure the result. For practical starting points, see generative AI for sales and our guide to what an AI CRM can and can’t do.