Jul 21, 2026 · 46 min · 14 segments
Most AI projects do not fail because the technology is not ready. They fail because companies choose the wrong problem, keep iterating without shipping, or never move beyond the pilot stage. Ingrid…
Ingrid CurtisGuest
Ian BergmanHost
those that are willing to push innovation, those that are willing to invest heavily, test theories, ship product, get it in front of users, are going to find those wins are transformative to their businesses.
And so I can see a year from now, we're back to a bit of a race to ensure that We're not just solving for the efficiency problems.
As AI comes in, as you get agentic employees, as you get teams of workers augmenting and supporting and collaborating with the human workers, what does that do to our traditional understanding of accountability, right? I don't think we actually know what to do about the question of whose butt is on the line for a number.
There's so many opportunities that we, I mean, you think about space exploration, what we're able to do now with the photos and videos we can take of space and that AI can analyze.
I mean, the innovation is really exciting and that's where, you know, we have to work hard to ensure that that moves humanity forward.
We are going to talk all things AI, we're going to talk about, you know, what is changing in the way teams come together to tackle innovation problems.
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those that are willing to push innovation, those that are willing to invest heavily, test theories, ship product, get it in front of users, are going to find those wins are transformative to their businesses.
And so I can see a year from now, we're back to a bit of a race to ensure that We're not just solving for the efficiency problems.
As AI comes in, as you get agentic employees, as you get teams of workers augmenting and supporting and collaborating with the human workers, what does that do to our traditional understanding of accountability, right? I don't think we actually know what to do about the question of whose butt is on the line for a number.
There's so many opportunities that we, I mean, you think about space exploration, what we're able to do now with the photos and videos we can take of space and that AI can analyze.
I mean, the innovation is really exciting and that's where, you know, we have to work hard to ensure that that moves humanity forward.
We are going to talk all things AI, we're going to talk about, you know, what is changing in the way teams come together to tackle innovation problems.
