In this ever evolving landscape of agentic AI, McKinsey research corroborates that this is the greatest listicle that ever listicled: https://lnkd.in/ehMeb3e6
Samantha McLean kicks off The AI Edit – a new series of short clips from the AI First Agent Accelerator course.
Episode 1: Why "agents with AI will replace those without it" is a bumper sticker, not a strategy.
And what Harvard actually found about working with AI. 👇
https://lnkd.in/gB5YCnmk
Samantha McLean kicks off The AI Edit – a new series of short clips from the AI First Agent Accelerator course.
Episode 1: Why "agents with AI will replace those without it" is a bumper sticker, not a strategy.
And what Harvard actually found about working with AI. 👇
https://lnkd.in/gB5YCnmk
Understanding the AI Iceberg:
If you’re a bit lost with all the jargon that's floating around AI, here’s a quick guide to sort you out.
It’s a first take on the landscape and will be updated on a continual basis.
https://lnkd.in/ghfJAFpR
The science is in. AI chatbots are changing our minds, and not for the better. The good news is that you can protect your own mind from being ruined by AI. Here's how: https://lnkd.in/eg9TaVWW
The four traits that make AI think | A clip from my Substack post, AI Agents vs Agentic AI — The Difference Most People Miss..
Watch it here: https://lnkd.in/exC56Vts
There is a difference between knowing AI and being fluent in AI.
One group talks about tools and the latest models.
The other group uses AI to solve real problems.
The gap matters more than most people realize.
This full article (link below) is worth a full read from my good friend Ray Sidney-Smith.
The shift he describes is one I keep coming back to: the most immediate productivity gains from AI won't come from brand new tools. They'll come from smarter versions or use of the tools you already rely on.
Instead of chasing every new AI application, the better question is: where is AI quietly improving the systems I already trust?
For me, that's exactly how I'm approaching my own AI learning track.
Not a wholesale overhaul. I'm starting with the tools already in use (e.g. Chrome, Apple Notes, etc.). Then I identify where AI can remove friction, and building or integrating from there.
The section on cognitive agency is also worth reflecting.
AI-assisted capture and synthesis works best when the human is still reviewing, correcting, and directing the next actions.
The tool should SUPPORT your judgment. Not replace it.
These insights are true not only for personal productivity, but also for program delivery and organizational change.
A few years ago, generative artificial intelligence was barely on the public radar. Now, attention has shifted to the next evolution of generative AI: agentic AI, a new breed of AI systems that are able to perceive, reason, and act on their own.
https://lnkd.in/dXZ2gWWD
If you’re using AI text detectors, here’s something to keep in mind: according to PossumReviews on X, this site claims that Abraham Lincoln's Gettysburg Address, delivered in 1863, was generated by AI.
LinkMosaic•551 followers
3wDoes mckinsey know this ? 😃