AI tools are everywhere in the workplace now. Yet many people still feel unsure how to use them well. That mismatch has a name. It is the AI skills gap, and it is growing in many companies. The good news is that it can be closed. It takes clear goals, practical training, and steady support from leaders. In this post, we will look at where the gap comes from and what you can do about it.
How Big Is the AI Skills Gap?
Usage is climbing fast. PwC surveyed more than 49,000 workers across 48 countries in 2026 (The Next Web, 2026). It found that 64% had used AI at work in the past year. Daily use of generative AI also jumped from 14% to 22%.
However, skills haven’t kept up. CompTIA (2026) found that 80% of professionals use AI tools several times a month. Yet only 29% say they know the technology well.
Training is slipping too. A Jobs for the Future poll found that just 36% of workers have the training and resources they need for AI, down from 45% in 2024 (Public Sector HR Association, 2026). In short, use is rising while support is falling. That is the heart of the problem.
Why the Gap Keeps Growing
Several forces drive this. First, tools change quickly. A skill learned last spring may already feel dated.
Second, many workers teach themselves. About 70% of workers in an Indeed and YouGov survey said they have started experimenting with AI on the job (Staffing Industry Analysts, 2026). That curiosity is great. Still, self-taught habits vary widely in quality and safety.
Third, training often misses the people who need it most. In that same survey, only 15% of workers who had not yet embraced AI said they received proper training. Similarly, PwC found that the largest group of workers, which it calls the engine room, often lacks access to learning (The Next Web, 2026). Only two in five of them said they could get the development they need.
As a result, a small group races ahead while most people fall behind.
Start by Measuring Where You Stand
Before fixing anything, find out where you are. Survey employees about how they use AI today. Ask what tasks they want help with. Also ask what stops them from learning more.
CompTIA (2026) found two main hurdles workers face. One is limited time. The other is uncertainty about which skills matter most. Your survey will likely echo those themes.
Next, map skills to roles. A marketer needs different abilities than an engineer or an accountant. Therefore, define a few core skills for everyone, plus additional skills for each team. This map becomes the backbone of your training plan. It also helps you track progress later.
Build Training Around Daily Work
Now comes the fun part. Generic courses have their place. However, people learn fastest when they practice on their own tasks.
So build short sessions around common workflows. Show a sales rep how to prep for a call with AI. Show a finance analyst how to check a report draft. Then let them try it right away.
Structure matters too. CompTIA (2026) found that more than six in ten professionals rely on general social tools for AI education. Those sources are not tied to company policies. In contrast, people who actively build job skills reported much higher familiarity, at 47% compared with 29% overall.
Clearly, guided learning pays off. Pair short lessons with hands-on practice, and repeat often.
Close the AI Skills Gap With Support and Time
Training alone is not enough. People need room to use what they learn. Otherwise, new skills fade within weeks.
Protect time on calendars for practice. Set up a channel where people share prompts and tips. In addition, name AI champions on each team who can answer quick questions.
Leaders matter here. When managers use AI openly, others follow. PwC also found that daily AI users felt more confident about their job security and were more likely to believe they could pick up new skills (The Next Web, 2026). Confidence grows with practice. As a result, regular use becomes its own engine for learning.
Keep the Momentum Going
Finally, treat this as an ongoing effort. Measure progress every quarter. Track tool usage, task results, and employee confidence. Then adjust training based on what you find.
Hiring will not solve this alone. The Indeed survey found that 59% of employers see finding AI-native talent as essential (Staffing Industry Analysts, 2026). Yet competition for that talent is fierce. Growing your own people is often faster and cheaper.
To sum up, closing the AI skills gap starts with knowing where you stand. Then focus on everyday tasks, protect time to practice, and keep leaders involved. Do that, and your whole team can move forward together.
References
CompTIA. (2026, July). AI skills tracker. CompTIA.
https://www.comptia.org/en-us/resources/research/ai-skills-tracker-july-2026/
Public Sector HR Association. (2026, April). Survey shows workplace AI training not keeping pace with increasing adoption. PSHRA.
https://pshra.org/?p=28523
Staffing Industry Analysts. (2026, July 28). Lack of AI training contributing to talent shortage. SIA.
https://www.staffingindustry.com/news/global-daily-news/lack-of-ai-training-contributing-to-talent-shortage
The Next Web. (2026). PwC survey of 49,000 workers finds most are falling behind on AI skills. The Next Web.
https://thenextweb.com/news/pwc-survey-workers-ai-engine-room-training
