Shahidi, Immorlica, Lucier argue AI reshapes entire workflows
Updated
Updated · MIT Sloan News · Apr 22
Shahidi, Immorlica, Lucier argue AI reshapes entire workflows
4 articles · Updated · MIT Sloan News · Apr 22
Their new research paper, published by MIT Sloan, Yale University, and Microsoft, introduces a framework showing AI’s value emerges from how tasks are sequenced and grouped, not just automated individually.
The study finds that clustering AI-suitable tasks into continuous chains can boost efficiency, as coordination costs from frequent human-AI handoffs often outweigh marginal quality differences at individual steps.
This research urges organizations to redesign workflows for AI compatibility, emphasizing that substantial productivity gains require systemic changes rather than treating AI as a plug-in tool for isolated tasks.
How can redesigning work for AI avoid degrading job quality for employees?
As AI reshapes over half of all jobs, which human skills become priceless?
Can AI truly manage a company without traditional human hierarchies?
Why do startups using workflow AI achieve 90% more revenue than their peers?
What is the number one mistake leaders make when adopting artificial intelligence?
AI Task Chaining in 2026: Unlocking 15% Productivity Gains Through Workflow Redesign
Overview
In 2026, researchers from MIT, Yale, and Microsoft introduced AI task chaining, a new approach that sequences interdependent tasks to redesign workflows for greater efficiency. This method overcomes the inefficiencies of prior automation by reducing costly handoffs between humans and machines. By applying AI chaining, industries like marketing and healthcare transformed complex processes, automating routine tasks and freeing humans for higher-value work. However, successful adoption requires organizations to address cultural resistance, fragmented legacy workflows, and governance gaps through audits, iterative redesign, and workforce upskilling. These efforts have already led to significant productivity gains, with projections showing widespread job reshaping and sectoral advantages for early adopters.