Defining roles for humans and AI in the future of work

Shift in Human Value: As AI improves in execution tasks, human value will shift towards defining problems, setting constraints, and making final decisions.
Emerging Roles in AI Oversight: Two key roles are emerging: the “AI work architect” who designs AI application, and the “AI steward” who oversees AI outputs and outcomes.
Redesigning Work with AI: Organizations need to redesign work and training post-AI adoption by blending AI literacy with domain expertise, process knowledge, risk awareness, and decision-making authority.
Focus on Context and Responsibility: Success from AI involves framing real-world problems, contextually reviewing AI outputs, and maintaining responsibility for real-world consequences.
The AI-era Work Cycle: This cycle consists of humans defining problems for AI, AI executing tasks, and humans overseeing AI outputs to make informed decisions.
Generative AI’s Impact: Generative AI automates numerous tasks, leading to job anxiety and the need to redefine what human work becomes more valuable.
Future of Work: The future of work is not just about replacing human roles but enhancing them by increasing responsibility and overseeing AI to improve outcomes.
Training and Human Design: Training should combine AI literacy with understanding of processes and risk, and involve those closest to work to help in redesigning the AI-era work cycle.

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