Daily Briefing — March 24, 2026

Jensen Huang went on the Lex Fridman podcast and dropped what he clearly knew was a grenade: "I think we've achieved AGI." Fridman had framed the question around his own definition of AGI, basically an AI system that can start, grow, and run a successful tech company worth over a billion dollars. Huang said, essentially, that we're already there. He pointed to OpenClaw, the open source AI agent platform that's been going viral, as evidence that individual agents are already doing serious work.

Here's the thing though. AGI is famously slippery as a term. Tech leaders have spent months running away from it, inventing new phrases that mean roughly the same thing but sound less like science fiction. And the word carries real legal and financial weight, particularly in contracts between companies like OpenAI and Microsoft where the definition of AGI can trigger massive clauses.

So when Huang says "we've achieved AGI," he's doing something calculated. He's not making a scientific claim with a precise definition behind it. He's making a move. He's shaping the narrative at a moment when the AI industry desperately wants the world to believe that the technology has crossed a threshold. Whether it actually has depends entirely on how you define the finish line, which is exactly why no one can agree on the finish line.

Oil just doubled in four weeks. That is not a typo. The conflict with Iran and the resulting blockade in the Strait of Hormuz have sent crude prices from around $70 a barrel to nearly $140, and United Airlines CEO Scott Kirby is already planning for $175 a barrel through the end of 2027. He put it in a memo to his own employees, which tells you he is not messing around.

United is trimming about 5 percent of its flight schedule, cutting the low demand slots first: red eyes, Tuesdays, Wednesdays, Saturdays. That sounds like a minor operational tweak until you remember that jet fuel makes up somewhere between a quarter and a third of what airlines spend to operate. When your biggest cost line doubles, you do not just quietly absorb it and move on.

The broader implication here goes well beyond travel. Supply chains run on fuel. Logistics costs feed into the price of basically everything that gets shipped anywhere. If oil stays elevated for two or more years the way Kirby is modelling, that pressure ripples into corporate budgets, hiring plans, and the general appetite for spending on anything discretionary. One supply chain professor at Michigan State put it plainly: this would be unwelcome news for everyone who is not in oil refining.

The thing is, Kirby himself says he thinks it probably will not get that bad. But he is preparing as if it will anyway. That is actually pretty good strategic instinct, and it is worth paying attention to how fast a major operator moved from "watching the situation" to "cutting schedules and communicating clearly."

Larry Fink, the guy running $14 trillion in assets at BlackRock, just used his annual letter to say the quiet part out loud: AI is probably going to make rich people richer and leave everyone else watching from the sidewalk. His argument is not exactly radical, but it carries weight when it comes from someone who has that much skin in the game. The pattern he is describing is not new either. The last few decades of wealth creation mostly rewarded people who already owned financial assets, and Fink is warning that AI is shaping up to repeat that dynamic at a scale that would make the previous version look modest.

What makes this worth paying attention to is who is saying it and why now. Fink is not some outsider critic. He runs one of the largest asset managers on the planet, and he is essentially telling his own investor base that the spoils here will concentrate fast around a small number of companies and a small number of people. The gap between the firms that get the AI flywheel spinning early and the ones that do not is going to widen quickly.

For people building careers in FinTech or adjacent industries, this is a signal about where leverage is going to sit. The companies that figure out how to operationalise AI effectively are going to pull ahead in a way that makes it very hard for slower movers to catch up. That affects hiring, wages, and which employers are worth betting your next three years on.

The FCC just dropped a significant policy bomb on the consumer networking market. Any router made outside the United States is now effectively banned from future import, unless a manufacturer already has radio authorization for a specific product. The FCC framed this as a national security move, adding foreign consumer routers to its Covered List, which cuts off the authorization process that every new radio device needs before it can legally enter the country. No authorization, no import. Full stop.

To put the scale of this in perspective: virtually every consumer router on shelves right now is manufactured abroad. We are talking about a near total shutdown of new product pipeline for the category. Companies with existing authorizations can keep shipping those specific products, and your current router is not suddenly illegal, but the moment anyone tries to bring in a new model that has not already been cleared, the door is closed.

The deeper implication here is not just about routers. This follows the FCC doing the exact same thing to foreign made drones last December. There is a clear and accelerating pattern of the US government treating connected hardware as a national security perimeter, not just a consumer product category. For anyone working in tech procurement, supply chain, or product development, this is the new normal you need to build around.