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I’ve had a number of conversations about AI over the previous couple years—some insightful, some overhyped, and some that left me questioning whether or not we’re even speaking about the identical know-how. However every so often, I get the chance to take a seat down with somebody who not solely understands the know-how but additionally sees its broader implications with readability and honesty. This episode of the TechSpective Podcast is a kind of moments.
Jeetu Patel, President and Chief Product Officer at Cisco, joins me for an unscripted, unfiltered dialog that covers extra floor than I may have outlined in a set of pre-written questions. Truly, I did draft a set of pre-written questions. We simply didn’t comply with or use them in any respect. Jeetu and I’ve identified one another for some time, and this episode displays the type of dialog you solely get with somebody who’s deeply immersed in each the strategic and human sides of tech. It’s considerate. It’s philosophical. And it doesn’t pull punches.
On the heart of our dialogue is the idea of “agentic AI”—a time period that’s getting used extra ceaselessly, generally with out a lot readability. We unpack what it truly means, what it may well realistically do, and the way it differs from the wave of chatbots and content material mills that got here earlier than it. Extra importantly, we discuss how these AI brokers may change not simply the duties we automate, however how we take into consideration work itself.
After all, with any dialog about AI and the way forward for work comes the inevitable stress: what will get misplaced, what will get reimagined, and what nonetheless requires distinctly human judgment. Jeetu brings a nuanced take to this, rooted in his expertise main product innovation at one of many world’s largest tech corporations. It’s not a dialog crammed with predictions a lot as it’s a reframing of the questions we ought to be asking.
What stood out to me is how rapidly we normalize the extraordinary. A know-how that felt magical two years in the past is now embedded in our each day workflows. That velocity of adoption modifications the stakes. It means we should be extra deliberate—not nearly what AI can do, however what we would like it to do, and what we danger offloading too rapidly.
We additionally contact on the philosophical implications. If AI brokers actually can deal with extra of the cognitive heavy lifting, what’s our position within the loop? Can we turn out to be editors? Overseers? Explorers of latest frontiers? And the way will we put together for jobs that don’t exist but, utilizing instruments which might be evolving sooner than we will doc them?
I feel this episode will resonate with anybody making an attempt to navigate this second—whether or not you’re in product improvement, coverage, advertising and marketing, or simply somebody who likes to suppose a couple of strikes forward. It’s about greater than AI. It’s about how we adapt, how we outline worth, and what we select to carry onto because the panorama shifts.
Give it a hear. And as at all times, I’d love to listen to your ideas.
