Training adopters use artificial intelligence in workforce development activities.
ibm.comResearch reportUpdated 23 September 2026
AI Role-Play Statistics: Adoption, Practice, and Learning Outcomes
AI roleplay is gaining ground as workplace AI use, learning demand, and skills development accelerate.
Key insights
the numbers most people quoteGenerative AI course enrollments rise 1,060% year-over-year on Coursera during 2023.
coursera.orgWorkplace learners strongly want practical guidance using AI at work.
learning.linkedin.com- $4.4 billion
was the estimated global artificial-intelligence-in-education market size in 2023.
- 0%
was the measured productivity improvement for the most-skilled customer-support agents using an AI assistant.
- 30%
of workers say they use artificial intelligence to analyze data.
- 12.2%
more tasks were completed by consultants using GPT-4 in a controlled workplace experiment.
- 14%
was the average productivity increase for customer-support agents given access to an AI assistant.
Practice the conversation before it counts.
Try itWhat we read into it
Taken together, these figures make AI roleplay a practical training priority, not a novelty, as workplace use is widespread, adoption is broad, and executives expect further expansion. Organizations should move from pilots to measured practice, pairing reskilling with human-skills development and checking whether roleplay improves performance.
- 49%
of organizations report using artificial intelligence for workforce development or training-related activities.
- 75%
of knowledge workers report using artificial intelligence at work.
- 79%
of organizations report that they regularly use generative AI.
- 65%
of organizations report regularly using generative AI in at least one business function.
- 42%
of organizations report actively deploying artificial intelligence.
- 91%
of learning and development professionals say human skills are increasingly important in the changing world of work.
- 92%
of executives say their organizations plan to increase their use of generative artificial intelligence over the next three years.
Forecastibm.com - 40%
of executives say their organizations have already trained or reskilled their workforce because of generative artificial intelligence.
What we read into it
Taken together, the figures point to practice becoming a routine workplace need, not a novelty, as course enrollment surged 1,060% and 55% of users engage weekly. Someone deciding what to do next should focus on repeatable, time-saving applications such as analysis, information gathering, communication, and skill development, while choosing tools they can use responsibly.
- 78%
of AI users report bringing their own AI tools to work.
- 1,060%
was the year-over-year increase in generative artificial intelligence course enrollments on Coursera during 2023.
- 55%
of employees who use artificial intelligence at work report using it at least once a week.
- 78%
of AI users report bringing their own AI tools to work rather than relying only on employer-provided tools.
- 68%
of employees say they struggle with the pace and volume of work, creating demand for practice and coaching tools.
- 75%
of knowledge workers say they use artificial intelligence at work, including for learning and skill development.
- 49%
of people who use artificial intelligence at work say they use it for analysis or information gathering.
- 68%
of people who use artificial intelligence at work say they use it to save time.
What we read into it
With 90% saying AI saves time and 79% reporting better work quality, adoption increasingly looks like a practical workplace skill rather than a novelty. A sensible next step is to build fluency through repetitive tasks, track the gains, and discuss responsible use openly so competence is visible without making people feel replaceable.
4 in 5 people say they want to learn how to use artificial intelligence at work.
- 66%
of workers say they would not hire someone without AI skills.
- 40%
of workers say they would be comfortable using artificial intelligence to negotiate a salary or promotion.
- 79%
of employees who have used generative artificial intelligence at work report that it improves the quality of their work.
- 70%
of employees who have used generative artificial intelligence at work would delegate as much work as possible to it.
- 52%
of employees who use artificial intelligence at work are reluctant to admit that they use it for their most important tasks.
- 53%
of employees worry that using artificial intelligence on important work makes them look replaceable.
- 83%
of employees say artificial intelligence helps them be more creative.
Learning Outcomes
8 of 12 statisticsWhat we read into it
AI looks most useful when work is repetitive or within its capabilities, but results should be measured rather than assumed across roles. Evidence of faster, higher quality, and more satisfying work supports targeted pilots that track outcomes by task and skill level before wider adoption.
- 14%
was the average productivity increase for customer-support agents given access to an AI assistant.
- 34%
was the productivity increase for the least-skilled customer-support agents using an AI assistant.
- 0%
was the measured productivity improvement for the most-skilled customer-support agents using an AI assistant.
- 12.2%
more tasks were completed by consultants using GPT-4 in a controlled workplace experiment.
- 25.1%
faster task completion was recorded for consultants using GPT-4 on tasks within the model's capability frontier.
- 40%
higher quality scores were recorded for consultants using GPT-4 on tasks within the model's capability frontier.
- 73%
of employees report that generative artificial intelligence helps them complete tasks more quickly.
- 66%
of employees report that generative artificial intelligence allows them to produce higher-quality work.
Practise the Next AI Conversation
For your next conversation, do not rely on theory or wait for the stakes to rise. Open AI role-play practice in Careertrainer and rehearse the exact situation you face—whether it is a feedback talk, negotiation, or customer discussion. Add your product, industry, and values in a few fields, then start speaking in under five minutes.
The practical advantage is repeatable, low-risk practice: one AI plays the counterpart while another evaluates your goals, milestones, and anti-patterns with consistent scoring. Use the feedback to close a specific skill gap, then repeat the conversation until your delivery improves. For managers building this into leadership development, executive coaching with AI makes difficult conversations safer to practise, with live audio, measurable outcomes, and EU-hosted delivery.
Practice these numbers
- Before the next conversation where the wrong question could cost you trust, practice it out loud with a realistic counterpart. Careertrainer uses live voice and psychologically profiled characters that reveal information gradually, respond to your choices, and maintain context across sessions. Afterward, a separate AI provides evidence-based feedback, so you can rehearse difficult moments without real-world risk.
- Before your next feedback, conflict, or performance conversation, give leaders a safe way to rehearse the exact situation they face. Careertrainer combines live-voice AI role-play with measurable scorecards, scenario-specific goals, and scalable learning paths—so leadership teams can build conversation confidence without relying on one-off theory. EU hosting and GDPR-compliant processing support responsible use in DACH organizations.
- Before a high-stakes feedback conversation, conflict talk, or difficult employee discussion, let your leadership team practice the moment—not just study communication theory. Careertrainer provides live-audio role plays with realistic counterparts, immediate scorecard feedback, and visible skill gaps that make progress measurable across a team. The platform is designed for scalable training with GDPR-compliant EU hosting.
- After you have practiced—or completed—a demanding conversation, get coaching that points to what actually happened in the exchange. Careertrainer uses a separate AI evaluator to assess scenario goals and core conversation skills, combining them in a 70/30 model with concrete transcript citations. Deterministic scoring from milestones and anti-patterns makes the coaching more consistent than a chatbot’s general opinion.
Cite this report
Lindner, J. (2026). AI Role-Play Statistics: Adoption, Practice, and Learning Outcomes. Careertrainer. https://careertrainer.ai/en/reports/ai-roleplay-statistics/
Sources
last verified 23 Sept 2026- microsoft.com21 stats
- ibm.com4 stats
- github.blog4 stats
- learning.linkedin.com3 stats
- nber.org3 stats
- papers.ssrn.com3 stats
- mckinsey.com2 stats
- pwc.com2 stats
- grandviewresearch.com1 stats
- udemy.com1 stats
- coursera.org1 stats
How we collect and check these numbers
Each figure is taken from a published source with a reachable URL. We keep the original wording, group numbers by theme, and mark one counter-intuitive finding per section. Counts and sources on this page are derived from the cited rows — they are not marketing totals.
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