βThink of what criminal uses could be made of the tele-transport. No vault, no net of charged wires, nothing could stop a thief from taking anything he wanted. Prisons would cease to be prisons. Criminals could reach in and pick up their friends, no matter how many guards there were. Prisons and bank vaults and national treasuries could be cleaned out in a single day.β
Live translation breaks cultural barriers across Asia
βthis week, I spent doing store visits and distribution. And part of the thing which I found very useful is that, you know, it makes it very easy to connect with people. The live translation capabilities, like if I do this a decade ago, then I would always be accompanied with the translator, now I'm just accompanied with my phone with super cool translation abilities. And I'm able to connect with the nations who don't speak English. And I'm able to understand essentially how the business process is running, with instructions which are all written in Bahasa, as same as in India.β
βThere would be trips back to the earth for sentimental reasons, to see the place where one's ancestors were born and had lived, to goggle at the monument which marked the point from which the first spaceship had taken off for the moon, to visit old museums and see old cities and breathe the air that men and women had breathed for thousands of years before they found the power to take them anywhere. In the end, earth would be just a worn-out planet.β
Agents create a 1% error that compounds to 25% across workflows
βlet me take Agent EKIS as an example. It increases complexity in two levels. It increases essentially technical complexity. How do I manage essentially accuracy of a process with multiple agents interacting with each other, each of which is probabilistic and a 1% error may propagate to a 25% error at the end of the process? So how do I organize for this, which is the technical complexity? The second complexity is organizational complexity. We are very excited about agents, but what does the organization structure of the future look like? Like, do we have agents who are acting as employees working together with humans?β
Super-saturated space fields crystallize and devour energy screens
βSimple, said Craven. They were just fields that had more energy packed into a certain portion of space than space could take. Space-fields that had far more than their share of energy, more than they could hold. A super-saturated solution will crystallize almost immediately after the tiniest crystal put into it. Those fields acted the same way. They crystallized instantly into hyperspace the moment they came into contact with other energy.β
Liquid cooling is the hidden gem powering AI data center growth
βwhen we think about cloud and edge computing, five or six years ago, we spent a lot of time thinking about it. One thing I'd like to say is those scientists and engineers have not stopped thinking about innovation. For example, as we think about GPU-based clouds, AI-based data centers, there's some really interesting advances in liquid cooling. You might say, well, why is that a hidden gem? Well, when you start to have the number of data center growth that we're anticipating, I believe data centers are growing 30 percent year-on-year. I mean, it's an astounding trend of demand, especially if I just think these AI systems are hungry hippos. They need a lot of compute power. That's really hot.β
Bioengineering extends far beyond pharma into food and fabric
βif you look at the future of bioengineering, for instance. Now, by the way, that's not just life sciences companies, it's not just pharma and cynical companies. I mean, the amazing thing is when you can program life, you can start to create new materials. And so what does that mean? Everything from apparel, artificial spider silk in order to create fabrics, to agriculture, again, incredibly important all across Asia, for instance, and whether or not it's being able to develop crops that can deal with climate change and or just increase the nutrition and as well as the taste of different crops.β
Free energy will scatter humanity across the planets
βWith the new material-energy engines, life on every planet would be possible now, even easy. The cost of manufacture, mining, shipping, across the vast distances between the planets, would be only a fraction of what it had been when man had been forced to rely upon the unwieldy, expensive accumulator system of supplying life-giving power. Now Mars would have power of her own, even Pluto could generate her own.β
βMan doesn't want to live under scientific government. He doesn't want to be protected against blunders. He wants what he calls freedom. The right to do things he wants to do, even if it means making a damn fool of himself. The right to rise to great heights and tumble to equally low depths. That's human nature. I rule it out. Bet you can't rule out human nature.β
Autonomous vehicles show how fast we normalize new tech
βLareina, I live in San Francisco, and this is a little bit about the way the technology trends feel. You sort of have to look back because things become so normalized so easily. So there are a bunch of autonomous vehicles driving around San Francisco, and it used to be like, wow, that car has no driver, right? And I've told this story before, but our young daughter saw a taxi go by, and I had to explain to her what a taxi was. And she said, oh, that's like a Waymo with a driver.β
Don't wait on the sidelines in this technology era
βDon't wait on the sidelines. A lot of times business leaders say, wow, that's really interesting. Maybe I'll watch someone else run that play first, and then I'll be a fast follow. Quite frankly, there have been many technology eras where that is absolutely and has proven out to be the right thing to do. But in this instance, over the last couple of years, really since Chat GPT was released, I don't think you can wait on the sidelines. So you just got to get in the game and run the ball, and you got to compete to win.β
Chambers chooses exile over returning home defeated
βI wish you could see it my way, Manning, he said. There's no place for me on earth. No place for me in the solar system. You see, I tried and failed. I'm just a has-been back there. He laughed quietly. Somehow, I can't imagine myself coming back in the role of the defeated tribal leader, chained to your chariots, so to speak.β
Agentic AI marks the shift from chat to autonomous action
βdid we find some things that really popped this year that we, for example, added agentic AI? Again, we don't think this is just going to be a one-year thing, but I think all of us have been talking about agents a lot quite recently. And we think we're just starting on that journey and many of our clients are just starting on that journey. So certainly while AI has been with us all the years that we've been studying trends, this year the idea of agents, this idea of foundation models acting in the world, doing things that are more autonomous and more multi-step, that's something that clearly came to the surface here as well.β
Asia's super app ecosystem accelerates agentic AI adoption
βthe super app ecosystem nature of Asia. So if you look at China, which has got a large number of super apps, if you look at Korea, which has got a super app, if you look at Indonesia or India with their own versions of super apps, then these are actually driving very significant consumer behavior given the nature of demographics of Asia. The second thing is ultimately AI comes down to, and both Michael and Lareina spoke about this, the chips and the semiconductor stack. Majority of the stack is being built in Asia.β
80% of tech transformation challenge is organizational, not technical
βFor every generation of new frontier technologies, as hard and as fun as it is to talk about the speeds and feeds and all the technology, almost 80% of the challenge is on the organizational side. It is around change management. It is around aligning for digital, for AI. We've talked about rewiring organizations, and it is matching your technology strategy to your corporate strategy. It's having the right talent in place. So the tech stack is important, having the data is important. But then how do you change your incentives? How do you change your culture? How do you change the way you operate?β