RESEARCH REPORT
The age of co-intelligence
How humans, AI agents and robots are redefining value
5-MINUTE READ
March 26, 2026
In brief
- AI has advanced at unprecedented speed, at times rivaling human reasoning, creativity and decision-making as agentic systems scale enterprises.
- Use of AI is shifting from tools to co-intelligence, where humans lead while AI amplifies judgment, execution and autonomy.
- Accenture and The Wharton School partnered on research showing a shift to a skills-first economy integrated with AI.
AI has progressed from a novelty to a driver of performance faster than any technology before it. Use of AI has shifted from simple augmentation, where AI supports a task, to co-intelligence, where AI can interpret intent, reason through options, coordinate steps, and execute bounded work across functions at machine speed. While benchmarks indicate AI may surpass people in specific domains, only humans bring the full view, including context, values, legitimacy and accountability. That is why humans are not merely “in the loop.” Humans must stay in the lead by setting direction, defining guardrails, challenging analysis, making trade-offs and owning outcomes.
This shift raises a new leadership mandate: redeploy expanded capacity into measurable value and sustained growth. As AI compresses analysis, decision cycles and delivery, it expands both human and digital capacity, and that capacity can be redirected toward reinvention. That includes faster product iteration, new offerings, sharper customer response and smarter capital allocation. Leaders need human-led operating systems where people orchestrate human and AI collaboration and AI executes within clear constraints, so speed and scale increase while responsibility remains firmly human.
In our previous report, Humans, AI and Robots (2024), we focused on productivity: how humans and machines could work better together. This year, the focus shifts to value. Specifically, how the collaboration of human and artificial intelligence reshapes value creation across four fronts:
How human and AI collaboration is reshaping value creation
Economics
The next source of value is growth
AI-enabled ways of working deliver measurable productivity gains, but the true dividend comes from how leaders deliberately redirect that capacity toward expansion, innovation and market advantage.
Individuals
Job titles give way to skills as the new currency of work
Work is no longer organized around static roles, but around skills. The Wharton Accenture Skills Index (WAsX), developed by Wharton and Accenture, provides an empirical view of this shift by mapping jobs at the task and skill level and linking them to economic value in an AI enabled economy. As WAsX shows, breaking jobs down into skills gives leaders a practical way to redesign work and align compensation with both human and AI capabilities.
Workforce
Architecting for agentic scale means putting people in the lead
An organization’s workforce strategy must align closely with its business goals and technology strategy. Creating value at scale requires redesigning jobs around the work that only people can do and regularly recalibrating roles and workflows as AI capabilities expand. Technology can then extend reach, coordination and execution. This approach puts people in the lead, supported by AI, and depends on building trust, effective models of human-AI interaction and continuous skill development to sustain performance and growth.
Society
Co-intelligence will redefine what it means to be human at work
As intelligence becomes more scalable through human-AI systems, responsibility does not scale in the same way. Society must reshape education, work and governance so that AI increases human capacity and progress, while legitimacy, accountability and stewardship remain firmly human.
Leaders who master co-intelligence by integrating human, digital and physical artificial intelligence into a cohesive workforce will define how value, growth and purpose are created in the next decade.
