The AI-theme Portfolios on Autopilot: who runs them, what each one is betting on, and how they differ from the AI-model Portfolios

I'm Chris, co-founder of Autopilot. "AI portfolio" means two completely different things on our platform, and the confusion costs people. One kind uses an AI to pick the stocks. The other kind is picked by a person and holds AI companies. This page is the map of the second kind: every AI-themed Portfolio with a published fact sheet, who runs it, what it's betting on in the Pilot's own words, and the one case that sits in between.

One thing first, because we're an SEC-registered investment adviser and I have to say it. Autopilot is the app. The actual investment advice comes from Autopilot Advisers, LLC. If you want the full legal version of anything in here, it's on our disclaimer page.

1) The distinction

AI-model Portfolios: a large language model does the selecting, a human runs the process, and the Portfolio's holdings are whatever the model chose. We run four, from GPT, Claude, Grok, and DeepSeek, and they're the subject of How the AI-model Portfolios are built: what GPT, Claude, Grok, and DeepSeek actually do, who runs them, and how to follow one. AI-theme Portfolios: a person decides which companies to own, and the companies happen to be in the AI business, from chips and memory to power, optics, and data centers. Same word, opposite roles. Everything below is the second kind, plus one hybrid.

2) The infrastructure bets

AI Leaders, published by Brooker Belcourt, who describes himself as a former Citadel and Coatue analyst, launched November 11, 2025: the "Oligopolies" that supply the buildout, chips, power, cooling, inspections, and distribution, with his own bubble warning written into the description. It has its own page: The AI Leaders Portfolio: a former Citadel and Coatue analyst's bet on the companies that power AI, and how to follow it in your own brokerage.

AI Infrastructure, published by Daniel Koss, launched March 25, 2026. His description argues that "AI inference demand is entering a multi-year structural supply deficit," driven by four forces he lists: modality shifting from text to video to physical-world models, compute distributing to billions of edge devices, autonomous agents replacing human-in-the-loop workflows, and latency compression unlocking adoption. His bio describes him as founder of Edelbridge Capital, running a concentrated fund focused on "the companies building the physical backbone of AI."

AGI Portfolio, published by Devika Gehlaut, launched August 19, 2025, described in one line as "companies tracking the AI build-out across compute, infrastructure and energy," by a Pilot whose bio says she is building an AI startup.

Wolff's AI Revolution Fund, published by Peter Wolff, launched February 4, 2025: a "specialized, high concentration investment vehicle targeting companies poised to become leaders in the artificial intelligence sector," with allocations adjusted periodically on valuation, company performance, and earnings. His other Portfolios are in Peter Wolff's Portfolios on Autopilot: the Flagship, the Top 15, the ETF Strategy, the Medical Edge, the AI and Crypto Revolution funds, and the All Weather, and what one subscription covers.

3) The component bets

Michael Sikand publishes two that go a layer deeper into the hardware. Memory Supercycle, launched February 10, 2026, began as a concentrated bet on memory chips and broadened into his flagship. Photonics Is Next, launched September 24, 2025, bets that optical components become essential infrastructure for AI connectivity the way GPUs did for compute. Both are labeled high risk by the Pilot himself, and both are in Michael Sikand's Portfolios on Autopilot: Memory Supercycle, Photonics Is Next, and Asymmetric Bets, and why he tells you up front they're high risk.

4) The hybrids: a person using an AI tool

Quiver Quantitative publishes two Portfolios where the descriptions say the holdings are selected by KnowIt AI, a model Quiver describes as using market data, sentiment analysis, and technical signals. AI Cash Flow Leaders, launched April 15, 2026, targets the four bottlenecks its description names, chips, memory, optics, and power, plus the hyperscalers driving demand, with holdings chosen "based on current AI-related revenue and publicly reported capex trends." KnowIt AI Flagship, launched April 24, 2026, is described as an AI-driven Portfolio focused on AI and big-tech stocks with a three-to-six-month horizon. These are in between the two kinds: a Pilot's rule, executed by a tool. Our fact sheets say it this way: where a Pilot uses an AI tool in their own stock-selection process, that tool does not advise clients, select investments for clients, or place trades. Quiver's Portfolios are in Quiver Quantitative on Autopilot: the Y Combinator, South Korea Is Next, KnowIt AI Flagship, and AI Cash Flow Leaders Portfolios, and what one subscription covers.

Dr. Lira's AI Finance Labs, the Pilot behind the four AI-model Portfolios, also publishes a themed one: the AI World War III Portfolio, launched October 31, 2023, described as "a focused investment in the defense and aerospace sector" and, per the description, powered by large language models. It's a theme chosen by people and a basket filled by a model, which makes it the clearest hybrid of all.

5) How to read a theme

A themed Portfolio is a sector bet with a story. Judge the story by the record, not the other way around: each of these has a fact sheet with a live follower composite from its launch date, gross and modeled net, with drawdown and a date on every figure, and none of them has a record older than its Autopilot launch, whatever the theme's history. Two AI-themed Portfolios in one account are one bigger AI bet. And the Pilots who write "high risk" into their descriptions are telling you something the ones who don't may also be true of. The method is in How to read a Portfolio's track record before you follow it. Following any of them works the same way: you connect the brokerage you already have, pick the Portfolio, and set how much of the account follows it. Then you give Autopilot Advisers limited authority to send orders to that account. When the Portfolio changes, we send them and your broker fills them. The money stays put.

Frequently asked questions

What AI portfolios are on Autopilot?

Two kinds. Four AI-model Portfolios whose stock picks come from GPT, Claude, Grok, or DeepSeek, run by Dr. Lira's AI Finance Labs. And AI-theme Portfolios chosen by people and holding AI-related companies: AI Leaders (Brooker Belcourt), AI Infrastructure (Daniel Koss), AGI Portfolio (Devika Gehlaut), Wolff's AI Revolution Fund (Peter Wolff), Memory Supercycle and Photonics Is Next (Michael Sikand), and Quiver Quantitative's AI Cash Flow Leaders and KnowIt AI Flagship, whose holdings are selected by an AI tool under the Pilot's rules. Each has a fact sheet.

What's the difference between an AI-picked portfolio and an AI-themed portfolio?

In an AI-picked, or AI-model, Portfolio, a large language model selects the stocks and a human runs the process; the holdings can be in any sector. In an AI-themed Portfolio, a person selects the stocks and they happen to be AI-related companies, from chips and memory to power and optics. Autopilot has both, plus hybrids where a Pilot's rules are executed by an AI tool. Both are followed the same way, in your own brokerage account.

Which Autopilot Portfolios invest in AI infrastructure?

By their published descriptions: AI Leaders (the suppliers of chips, power, cooling, inspections, and distribution), AI Infrastructure (the physical backbone of AI inference), AGI Portfolio (compute, infrastructure, and energy), AI Cash Flow Leaders (chips, memory, optics, and power plus the hyperscalers), Memory Supercycle (memory chips, since broadened), and Photonics Is Next (optical components for AI connectivity). Their largest positions, with timestamps, are on their fact sheets.

Do any Autopilot Pilots use AI to pick their stocks?

Yes, in two ways. Dr. Lira's AI Finance Labs runs the four AI-model Portfolios, where a large language model does the picking, and the AI World War III Portfolio, a defense-and-aerospace theme its description says is powered by large language models. Quiver Quantitative's AI Cash Flow Leaders and KnowIt AI Flagship describe their holdings as selected by KnowIt AI under Quiver's rules. In every case the tool doesn't advise clients or place trades; Autopilot Advisers, LLC manages the following.

TLDR

AI-model Portfolios let a model pick the stocks; AI-theme Portfolios let a person pick AI companies; a few hybrids let a Pilot's rules run through a tool. The themed shelf runs from picks-and-shovels infrastructure to memory and photonics, each with a fact sheet and a record that starts at its Autopilot launch. Read the drawdown before the story, and remember that two AI themes in one account are one bet.

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