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The Three-Bucket Analysis For Your Job While this transformation sounds overwhelming, there's a practical framework anyone can use to navigate it. Raman suggests taking the top dozen tasks in your current role and sorting them into three buckets: The first bucket contains tasks that AI tools, and agents will increasingly perform if not fully automate—things like summarizing notes or generating content templates. The second bucket includes tasks you'll do collaboratively with AI. This involves what Raman calls "AI literacy"—your ability to use AI tools effectively in your daily work. The third bucket holds tasks that remain uniquely human. This is where our work will increasingly focus in the innovation economy. "If you're heavy on that first bucket," Raman warns, "that means you've gotta upskill and transition. You're not gonna be safe just staying with a job that is highly vulnerable to AI disruption."

Getting more granular, we can also look at specific occupations within these occupational categories, as well as tasks associated with that occupation. For example, tasks associated with copywriters and editors show the highest amount of task iteration, where the user iterates on various writing and editing tasks with the model. By contrast, tasks associated with Translators and Interpreters show among the highest amounts of directive behavior—where the model is used for translating documents with minimal human involvement.

As part of a randomized controlled trial (RCT) testing, the team recruited adults diagnosed with major depressive disorder (MDD), generalized anxiety disorder (GAD), and people at clinically high risk for feeding and eating disorders (CHR-FED). After a spell of four to eight weeks, participants reported positive results and rated the AI chatbot’s assistance as “comparable to that of human therapists.” For people at risk of eating disorders, the bot helped with approximately a 19% reduction in harmful thoughts about body image and weight issues. Likewise, the figures for generalized anxiety went down by 31% after interacting with the Therabot app.

In agent mode, Copilot will iterate on not just its own output, but the result of that output. And it will iterate until it has completed all the subtasks required to complete your prompt. Instead of performing just the task you requested, Copilot now has the ability to infer additional tasks that were not specified, but are also necessary for the primary request to work.

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