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Your people decide whether AI pays off

The tools are the easy part. Whether AI pays off in your business comes down to your people knowing when to use it and when to check it. That can be taught, and it doesn't take long.

AXXEM AI ·

You buy a new AI tool for the office. Two months later, one person uses it every day. Everyone else has gone back to the old way.

The tool is the same for all of them. The difference is the people.

Your people are wondering about their jobs

Many of them are quietly asking one question. Will AI take my job, or will someone who uses AI take it? How they answer decides how much of your money ever gets used.

The job market has already answered part of it. In an analysis of more than a billion job ads across 27 countries and territories, roles asking for AI skills advertised 62% higher pay in 2026.1 That compares job ads rather than what any one person earns. Still, the message is plain. AI skill is worth something, and your people can see that.

AI helps beginners the most

In a study of 5,172 customer-support agents, AI raised the number of problems solved per hour by 15% on average. Newer and less-skilled agents gained the most. The most experienced agents gained very little.2

In a writing experiment, people using AI finished 40% faster, and their work was rated 18% better.3

So on a single task, AI mostly helps people catch up. It won't turn your best person into a superstar. It can bring a new hire up to speed much faster.

The skill that matters is knowing when to trust it

AI is good at some tasks and quietly bad at others. The hard part is telling which is which.

In a study of 758 consultants, AI made people faster and better on tasks it handles well. On a task it handles badly, people using AI got the answer wrong more often than people working without it. The gap was 19 points.4

A Microsoft study found a related pattern. The more people trusted AI, the less they checked its work.5

So the skill to teach is easy to say. Know when to use AI, and always check what it gives you.

Training is cheap, and it works

Most people get almost none. In a 2026 survey of 11,749 employees at large companies, only 36% said they felt properly trained.6

The hours make a big difference. In a 2025 survey of 10,635 employees, also at large companies, the share who used AI regularly grew with training:7

  • No training: 18%
  • One to five hours: 63%
  • More than ten hours: 89%

These are big-company numbers, and a small business is different. The lesson still travels. A few hours of real training changes who picks up the tool.

Five hours is an afternoon or two.

What this means for your business

Buying the tool is the easy part. The payoff comes from people who know where it helps, where it fails, and how to check it. You can teach that, and it doesn't take long.

See where you stand — book a free 45-minute business assessment.


  1. PwC, Global AI Jobs Barometer (Jun 2026; more than one billion job ads across 27 countries and territories). Measures advertised pay on job postings, which compares roles rather than tracking any individual's earnings over time. ↩

  2. Brynjolfsson, Li & Raymond, Generative AI at Work, Quarterly Journal of Economics 140(2), 2025. Productivity is measured as issues resolved per hour. The published abstract reports the 15% average; it describes the most experienced and highest-skilled agents as seeing small gains in speed and small declines in quality. Verified against the published abstract 2026-09-23. ↩

  3. Noy & Zhang, Experimental Evidence on the Productivity Effects of Generative AI, Science (2023). ↩

  4. Dell'Acqua et al., Navigating the Jagged Technological Frontier, Harvard Business School / BCG working paper 24-013 (2023). The 758 subjects were BCG consultants, and BCG staff co-authored. On the task outside AI's capability, participants using AI were 19 percentage points less likely to reach a correct solution than those without it. ↩

  5. Lee, Sarkar, Tankelevitch et al., Generative AI and Critical Thinking, CHI 2025 (Microsoft Research; a survey of knowledge workers). Higher confidence in AI was associated with less critical thinking. The finding is an association rather than proof of cause. ↩

  6. BCG, AI at Work 2026: Why Strategy Matters More Than Tools (Jun 2026; n=11,749 employees across 14 markets, at companies with $100M to over $10B in revenue). It does not describe a small business. ↩

  7. BCG, AI at Work 2025: Momentum Builds, but Gaps Remain (Jun 2025; n=10,635 employees across 11 markets, at companies with under $500M to over $5B in revenue). The figures are the share of people within each training band who use AI regularly (daily or several times a week), read from the published chart; the five-to-ten-hour band is 82%. It does not describe a small business. ↩