How AI is reshaping workflows and redefining jobs
AI's most significant impact lies in reshaping entire workflows rather than just automating individual tasks. Research from MIT Sloan and other institutions shows that how tasks are sequenced and grouped affects AI's value more than isolated task performance. Organizations can gain efficiency by assigning end-to-end task chains to AI, even if human performance on some steps is superior.
- ▪A new paper titled 'Chaining Tasks, Redefining Work: A Theory of AI Automation' argues that AI’s impact is greatest when applied to entire workflows, not just single tasks.
- ▪Task sequencing and grouping matter because even similar roles can have different automation potential based on workflow structure.
- ▪AI can create value by handling entire task chains despite not outperforming humans on every step, primarily by reducing coordination and handoff costs.
- ▪The research highlights that a single task difficult for AI can break an automation chain, making task adjacency crucial for effective AI integration.
- ▪Coordination costs between humans and AI often outweigh minor quality differences, making end-to-end AI execution more efficient in some cases.
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Credit: Anton Vierietin / Shutterstock Ideas Made to Matter Artificial Intelligence How AI is reshaping workflows and redefining jobs By Kristin Burnham Apr 22, 2026 4 minute read Share What you’ll learn: A new paper from researchers at the MIT Sloan School of Management argues that AI’s biggest impact comes from how it reshapes entire workflows — specifically, how tasks are sequenced, grouped, and handed off between humans and machines. Most organizations have approached artificial intelligence as a tool for boosting productivity at individual tasks, such as drafting emails, summarizing documents, or generating code. But new research suggests that this task-by-task mindset may be limiting the true value of AI.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at MIT Sloan.
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