“The highest risk decisions need to have the highest true currency of information behind them. In other words, garbage in, garbage out. With agentic AI, it's garbage in, one million garbage out.”
The Energy Gang · Climate & Energy · November 2026
Context
Asked what AI can do for the energy industry, Context Labs' Chris Rezendes argues that agents multiply whatever quality of data they are fed, so the source of the data matters more than the model.
Transcript
…take this ethereal thing called emissions or emissions intensity that maybe has some traction in a compliance or in a voluntary sustainability domain? Can we help make it strong enough to turn it into a commercial commodity market or capital market term? And we've been doing that with our clients.
…he had a good line about what we're now looking at is what AI can do for the energy industry. And that sense that obviously there's a lot of talk about AI needing energy, but you can reverse it and say AI can make a huge contribution to energy as well. What's your sense of what that impact can be?
…trading, or investment business. It's to give these large, capital-intensive, highly regulated, high-risk, and in some cases, some might say, more vulnerable than we knew, industries and assets, companies, and balance sheets, and give them the opportunity to make better decisions faster because they'll have a better set of data. There's a concept called TCI or true currency of information. The highest risk decisions need to have the highest true currency of information behind them. In other words, garbage in, garbage out. With Agentic AI, it's garbage in, one million garbage out. And so it just becomes the leverage that one could achieve by having these parallel processing systems driven by these GPUs, driven by NVIDIA, optimized for your application. What are you feeding the application? And where does the data come from? Does the data come from the unwashed internet? Does the data come from a hypothecation in a model? Does the data come from a synthetic data set? The…
Context Labs then was founded in 2013. You've been in this business for a while. Obviously, there's a trend. I've been in the business since 2018. Right, and there's a tendency, as you all know, for people to talk as if AI was magically invented in 2022 with Chat GPT. It's obviously been around for…
Sure, so first things first, our founder, Dan Harple, and our CTO, Gavin Nickel, were two of the essentially co-inventors of the real-time streaming protocol, RTSP. That's the protocol that enables us to broadcast this in its digital, but to the human ear, feels analog. So it is the real-time…
Meaning, what does that mean?
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