What happens when AI agents stop assisting work and start reshaping how value moves through an organization? And what does that mean for people, roles, and leadership when velocity matters more than productivity?
In this episode of The Future of Less Work, host Nirit Cohen sits down with Tim Sanders, Chief Innovation Officer at G2, to explore how agentic AI is changing the very mechanics of work. Drawing on G2’s large-scale enterprise data and Tim’s experience across platforms like Upwork, the conversation moves beyond hype to examine what’s actually happening inside organizations adopting AI agents.
Together, Nirit and Tim unpack why jobs should be understood as collections of tasks and judgment, how agents are removing repetitive work while elevating human contribution, and why the real competitive advantage lies in augmentation rather than substitution. They explore the shift from productivity to velocity, why organizations stall when they overload “human-in-the-loop” approvals, and how trust—not technology—is the true gate to scaling AI autonomy.
Tim shares concrete examples from industries like banking to show how management decisions, not technical limits, determine success with agents. The discussion also dives into emerging roles such as agent designers, auditors, and managers, and why judgment, taste, and goal-setting—not technical expertise—will define the most valuable work in an AI-driven world.
If you’re wondering how AI agents will change careers, leadership, and what it means to do meaningful work when machines handle the grind, this conversation offers a grounded and deeply human perspective on what comes next.
Guest Information:
Tim Sanders is the Chief Innovation Officer at G2. He’s also an executive fellow at the Digital Data Design Institute at Harvard and a New York Times bestselling author of five books, including Love is the Killer App.
Links:
- G2’s AI Agents Insight Report: “AI Agents are Winning Hearts and Wallets”
- Tim’s 5 Bold Predictions on the Rise of Agentic AI and the $30B Orchestration Boom
Chapters:
00:00 — What happens when AI starts doing the work?
01:20 — If AI takes the tasks, what do humans do?
03:00 — Does automation actually make jobs more valuable?
05:06 — Is AI really replacing jobs or is that a myth?
07:26 — Why can’t companies shrink their way to greatness?
09:20 — Why productivity is the wrong metric in an AI world
11:35 — How AI changes business growth and velocity
13:37 — Why fear blocks AI adoption inside organizations
15:08 — Why leaders and employees see AI so differently
17:05 — How much should humans stay in the loop with AI?
19:03 — When does human oversight slow work down?
21:00 — Who actually decides how much AI autonomy to allow?
22:06 — How leaders misjudge risk when designing AI workflows
23:15 — How do you bring people along when AI changes work?
24:59 — Why trust matters more than technology for AI scale
26:38 — What new roles emerge when AI agents do the work?
28:18 — What makes someone a good manager of AI agents?
29:57 — What signals show where the future of work is heading?
31:30 — How do people build judgment if AI does the entry work?
32:47 — Is experience really what builds human judgment?
34:49 — How must education change for an AI-driven world?
35:45 — What question should we all ask about our work now?
