RESEARCH REPORT
Learning, Reinvented: Accelerating human–AI collaboration
10-MINUTE READ
September 2, 2025
In brief
- Realizing AI's potential requires new ways of working—humans and AI must learn and adapt together through continuous co-learning.
- Yet only 11% of organizations are currently equipped to enable effective co-learning, creating an urgent gap and a significant opportunity.
- Organizations creating the conditions for co-learning to thrive are seeing big results: higher engagement, faster innovation and improved productivity.
Beyond training: Unlocking the human-AI learning advantage for your workforce
Our global research—covering 14,000 workers and 1,100 executives across 20 industries, spanning 12 countries—reveals a clear shift from traditional training to continuous learning and co-learning: dynamic, continuous collaboration between people and AI. This model boosts creativity, accelerates skill development and enhances resilience by embedding learning directly into daily workflows.
However, most organizations remain unprepared for this new skilling era. Too few have integrated human and AI collaboration through co-learning into their leadership, culture and daily practices — missing out on the opportunity to unleash the shared potential of people and AI. Now is the time to act.
DATA
84%
of executives expect regular human-AI collaboration within 3 years
26%
of workers have been trained to collaborate effectively with AI
35%
of employees are satisfied with their current AI tools
Organizations adopting human-AI collaboration and creating the conditions for co-learning see:
5X
higher workforce engagement
4X
faster skill development
4X
higher likelihood of innovation
1.4X
more likely to report year-on-year profitability increases
Four conditions to accelerate human–AI collaboration and co-learning
Visionary leaders frame AI as an enabler of creativity and innovation versus just a tool for efficiency. When they do, workers are 20% more confident in adapting their work habits to collaborate effectively with it.
Yet many leaders struggle to translate this vision into practice, leaving employees uncertain about AI’s role in their daily work. Closing this gap requires clear, ongoing communication, visible leadership advocacy and building flexibility and autonomy into workplace practices.
-16
percentage-point gap between leaders and employees on whether gen AI experimentation is visibly supported
Time remains the largest barrier to skill-building. Organizations can transform skilling from a separate task into a continuous learning experience by embedding modular, real-time learning directly into workflows.*
Organizations leveraging AI-driven coaching and adaptive learning significantly increase training completion rates, skill acquisition and employee engagement. This approach makes continuous, adaptive learning practical, accessible and impactful — turning daily work into opportunities for growth.
*Accenture Talent Pulse global survey, April-May 2024. N = 2,900.
+20%
higher learning completion rates when one global cloud provider embedded AI-powered coaching into daily workflows (vs. their average program completion rate)
Trust is the cornerstone of effective human–AI collaboration and co-learning. Clear governance, transparent accountability and intuitive explainability tools enable employees to engage confidently with AI. However, over half (53%) of workers still don’t know who’s accountable when AI errors occur—highlighting a critical gap to address.
Strengthening trust involves transparently communicating ethical standards, outlining accountability frameworks and creating environments where employees can safely question, challenge and collaborate with AI as responsible partners.
53%
of workers still don’t know who’s accountable when AI errors occur
AI adoption stalls when tools aren’t aligned with natural work patterns — only 35% of employees today report satisfaction with the gen AI tools provided by their employer. Organizations must prioritize human-centered AI design and adaptive learning experiences, ensuring that tools intuitively fit into existing workflows, values and working styles.
Companies excelling in human-centric AI design build confidence, accelerate adoption and boost resilience — transforming employee experiences into sustained competitive advantage.
Only 35%
of employees today report satisfaction with their AI tools
What success looks like: human–AI collaboration and co-learning in action:
