Defining roles for humans and AI in the future of work
Defining roles for humans and AI in the future of work
https://www.weforum.org/stories/2026/06/future-of-work-define-roles-humans-ai/
Publish Date: 2026-06-22 11:36:00
Source Domain: www.weforum.org
- As artificial intelligence (AI) improves at tasks such as analysis, content generation and decision-making, human value will lie in defining problems, setting constraints, evaluating outcomes and making final decisions.
- Two important roles are emerging for human oversight of AI – the “AI work architect” who designs how AI should be used and the “AI steward” who is more concerned with outputs and outcomes.
- Organizations need to redesign work and training after adopting AI tools, combining AI literacy with domain expertise, process knowledge, risk awareness and decision-making authority.
Artificial intelligence (AI) does not begin with an instruction or end with a recommendation. It begins with a real-world problem and ends with a real-world consequence.
Generative AI (GenAI) has moved quickly from novelty to workplace infrastructure. It writes, summarises, translates, codes and analyses data, making many tasks cheaper, faster and increasingly automated.
The result is not only job anxiety but more practically, the question arises: which parts of human work become more important as AI takes on more execution?
The World Economic Forum’s Future of Jobs Report 2025 shows that technology, demographics and uncertainty are reshaping labour markets towards 2030. It estimates that 170 million jobs may be created, 92 million displaced and 39% of existing skill sets transformed or rendered obsolete by 2030.
The next step is to connect these debates through a clearer map of human and machine work. Existing debates often frame work as AI versus humans, white-collar versus blue-collar or technical versus human skills. But the bigger change lies inside the work process itself.
As AI becomes more capable, the execution layer expands: processing information, generating content, optimizing options and automating actions. Human value moves to the work around execution, where context, responsibility and trust determine whether AI creates value.
The new division of work in the AI…
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