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Agentic Utilities

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Author: Citrini
Published: Mar 25, 2026

Introduction Here at Citrini Research, we’ve been talking about “Agents” for as long as we’ve been writing about AI. Back in May 2023, in our Artificial Intelligence: Global Equity Beneficiaries piece, we predicted that AI adoption (and its investing implications) would follow a three-phase process: Phase I: Global Data Center Hyperscaling (“infrastructure”) Phase II: The Democratization of AI/ML (“commodification”) Phase III: Integration & Specialization (you’re here now) Here’s how we described the vision at the time: “The third phase is marked by the deeper integration of AI and ML into various industries and aspects of society, as well as further specialization within the field of AI itself.

The technologies described as “artificial intelligence” may not resemble the LLMs we currently use, and one or more services will provide “agents” capable of carrying out tasks without being prompted directly (an “AI ” This roadmap has proven prescient, though perhaps a better name for Phase III would be the “ Agentic Era”. We start today’s piece with this callback for a reason (not just to pat ourselves on the back). The reason is that we, like many others, have envisioned the coming of the agents pretty much straight out of the gate; AI was never going to be constrained to a chat bot.

In our follow-up piece, Less Deus More Machina, we zeroed in on “AI Losers” – companies and industries most vulnerable to disruption with the proliferation of AI (and, importantly, agentic AI). Our “standalone short” basket of 26 losers worked fairly well against a rising market for the following two years, albeit with a good deal of choppiness along the way. But, the waterfall really began late last year – just as the “agents” arrived. We’ve reached an inflection. AI Agents have gone from an abstract concept to an actual service with expansive real world capabilities that can be directed from a simple iMessage.

For the “losers”, the theoretical risks that were enough to stoke fear for investors have rapidly become tangible risks that fundamentally alter management outlooks. The concept of an “AI Agent” went from buzzword to reality in November 2025 – reaching escape velocity with the release of ClawdBot (now OpenClaw, thanks to Anthropic’s lawyers). Until recently, the coding tools suffered the same flaw as every other hacked-together “AI” SaaS app: the call and response model. Due to degrading context windows, models couldn’t store history of past events so there was only so much that a single run could do.

You were still limited by the command line, but not anymore. In January, OpenClaw – an open-sourced, self-hosted agentic library – became the poster child for agentic technology. As shown by GitHub’s “Star History”, the adoption has been astronomical in just two months. Along with exploding Github references, OpenRouter data shows just how dramatically OpenClaw has accelerated token usage within its product category. OpenClaw went viral because it had the bright idea of storing context in a big text file and looping through new AI calls. Early users were running their agents overnight, and a new ecosystem of skills and plugins boosted its network effects.

And, for just the cost of a Mac Mini, you could run it all via iMessage. We must reiterate that this is the core reason behind the ClawdBot/OpenClaw Mac Mini craze: it has nothing to do with the hardware. Most of these functions are run in the cloud rather than locally, although longtime readers know our thoughts on where that’s headed. In this new paradigm, Jensen Huang is floating the idea of providing “token based compensation” to attract engineering talent. Jensen also recently commented that he would be ‘deeply alarmed’ if one of his engineers earning $500,000 a year did not consume at least $250,000 in tokens.

While we’re cognizant of the fact that this is like a baker saying you should be eating a dozen donuts a day, there’s a lot of truth in it as well. Homebrew Agents are still in “move fast and break things” mode. Agents are vibecoding, answering emails, dumping crypto wallets, and folding proteins. And companies have taken notice… This tells us two things: First, “Agentic AI” is now widely acknowledged as a critical market narrative. Second, picking winners and losers in this space will be a whole lot harder than simply seeing who is talking about it on earnings calls.

Nevertheless, we expect this to be a powerful narrative for true “agentic winners” – particularly if it reshapes the investment case for companies in the dumps. As always, we love a great bottom. We have been slowly adding to our allocation names that are aligned with the “Agentic Utility” layer - we are currently long AKAM, FSLY, CRCL and NET in the Citrindex. We’ve bought all of these when they were widely viewed as being entirely separate from the AI trade.

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