Terence Mauri
👤 PersonAppearances Over Time
Podcast Appearances
It took ChatGPT two months to reach 100 million users. It took the cell phone 16 years to reach 100 million users. And so the excitement phase, I think, has happened over the last couple of years, especially we've seen over a trillion dollars of capex go into AI infrastructure, over $250 billion of VC money as well. That's going up exponentially.
It took ChatGPT two months to reach 100 million users. It took the cell phone 16 years to reach 100 million users. And so the excitement phase, I think, has happened over the last couple of years, especially we've seen over a trillion dollars of capex go into AI infrastructure, over $250 billion of VC money as well. That's going up exponentially.
So that excitement phase, we've now moved to the experimental phase. For example, T-Mobile and OpenAI have just formed a partnership for a sort of proactive AI decision-making model that will be able to proactively help solve customers' pain points. You know, three phases. Number one, excitement phase, exuberance, excitement. Number two is the experimental phase that I believe we're in right now.
So that excitement phase, we've now moved to the experimental phase. For example, T-Mobile and OpenAI have just formed a partnership for a sort of proactive AI decision-making model that will be able to proactively help solve customers' pain points. You know, three phases. Number one, excitement phase, exuberance, excitement. Number two is the experimental phase that I believe we're in right now.
The next phase, the next horizon which we'll be entering over the next 18 months is the embedded phase. And that's where actually AI eventually will just become invisible. Every great technology, if it's truly great, should be invisible. It'll be embedded in our cell phones, in our toothbrushes, in our TVs, a trillion sensor economy connected together
The next phase, the next horizon which we'll be entering over the next 18 months is the embedded phase. And that's where actually AI eventually will just become invisible. Every great technology, if it's truly great, should be invisible. It'll be embedded in our cell phones, in our toothbrushes, in our TVs, a trillion sensor economy connected together
amplifying intelligence, cross-pollination, helping tackle some of the world's biggest existential challenges from climate change to healthcare. And we're at the embryonic stage of that, but it doesn't take much imagination to think about
amplifying intelligence, cross-pollination, helping tackle some of the world's biggest existential challenges from climate change to healthcare. And we're at the embryonic stage of that, but it doesn't take much imagination to think about
where we're going with this over the next couple of years, that the sort of cost of production, the cost of knowledge production is going to reach zero in the next 15 years. It would take you a lifetime to read 8 billion words. Now imagine that the fastest AI today can do that in the blink of an eye. And again, we can start to see the exponential opportunity of this platform.
where we're going with this over the next couple of years, that the sort of cost of production, the cost of knowledge production is going to reach zero in the next 15 years. It would take you a lifetime to read 8 billion words. Now imagine that the fastest AI today can do that in the blink of an eye. And again, we can start to see the exponential opportunity of this platform.
But I want to say as well that we have to be careful of artificial idiocy. Am I investing in warm AI or cold AI? A room AI is humanity first. AI. It's a humanity-first future enabled by AI. It maximizes, elevates what makes us more human, and it protects wellbeing, loneliness, democracy, truth, and transparency. That's warm AI.
But I want to say as well that we have to be careful of artificial idiocy. Am I investing in warm AI or cold AI? A room AI is humanity first. AI. It's a humanity-first future enabled by AI. It maximizes, elevates what makes us more human, and it protects wellbeing, loneliness, democracy, truth, and transparency. That's warm AI.
The bad news is right now, most governments, most organizations are not investing in warm AI. They're investing in cold AI. Cold AI is machine-first future enabled by AI. It elevates division, disinformation, truth decay. It erodes well-being. And so that's the difference. Are we investing in a warm tech future or a cold tech future?
The bad news is right now, most governments, most organizations are not investing in warm AI. They're investing in cold AI. Cold AI is machine-first future enabled by AI. It elevates division, disinformation, truth decay. It erodes well-being. And so that's the difference. Are we investing in a warm tech future or a cold tech future?
What a great question. I think it's a question every leader, every manager should be thinking about right now, which is to use AI in the right way, in an inclusive way, sustainable way, in a way that sharpens the growth and talent agenda. We should be thinking about ROI, which is not just return on investment, but this new human-centric ABI, e-behavior indicator.
What a great question. I think it's a question every leader, every manager should be thinking about right now, which is to use AI in the right way, in an inclusive way, sustainable way, in a way that sharpens the growth and talent agenda. We should be thinking about ROI, which is not just return on investment, but this new human-centric ABI, e-behavior indicator.
which is return on intelligence, return on imagination. Imagine a cognitively enabled enterprise where your talent gets to solve the biggest problems, the biggest challenges that it faces. That means 10x productivity, 10x engagement, 10x execution. We know that that's not the reality for most organizations right now.
which is return on intelligence, return on imagination. Imagine a cognitively enabled enterprise where your talent gets to solve the biggest problems, the biggest challenges that it faces. That means 10x productivity, 10x engagement, 10x execution. We know that that's not the reality for most organizations right now.
I just had an article published a few weeks ago in Fast Company called The Rise of Boreout. which is the opposite of burnout. Bore out is cognitive or emotional under load. It's boredom at work and it's at record levels. And so if AI is just doing parts of the job which we're already doing and what we're left with is other boring parts of the job, that's not return on intelligence.
I just had an article published a few weeks ago in Fast Company called The Rise of Boreout. which is the opposite of burnout. Bore out is cognitive or emotional under load. It's boredom at work and it's at record levels. And so if AI is just doing parts of the job which we're already doing and what we're left with is other boring parts of the job, that's not return on intelligence.