Job Task Re-Engineering With AI: A Massive Opportunity Ahead - E194
Description
In this week’s podcast I discuss the trend (and need) for job task re-engineering: breaking down our jobs into tasks, so we can effectively use AI and Agents to speed things up. As more and more vendors announce AI Agents to assist with work, our best opportunity for massive improvement is to “re-engineer” how we do things, not just “add agents” to our current jobs.
As I describe, most companies build job titles in a “mashed potato” approach where we squash a bunch of things into one job description. Thanks to AI we can now think about work differently, and this will impact sales, marketing, HR, engineering, and just about every other function in our companies. In some ways this is a return to the old ERP model of “designing work around the software” but this time the Agents are smart, programmable, and learning! So if we do this well we’re going to see massive improvements in productivity.
I talk about Rolls Royce, EPAM, and the PR battle between Salesforce and Microsoft for “Agent-Tech.” Plus I talk about why Chief Learning Officers have a new role in 2025!
Lots of new ideas to think about here.
Please watch this video for more on this topic.
Additional Information
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Vendors Mentioned
Sana Labs (the platform under Galileo)
United States
