AI Factories vs Michael’s Flagship Fund

Same fields · No winner

A comparison of two published records. This is a side-by-side table of the same fields for each Portfolio. It is not a ranking, a score, or a recommendation.

This is a side-by-side table of the same fields for each Portfolio. It is not a ranking, a score, or a recommendation. Autopilot does not charge an advisory fee and does not charge an AUM fee. The price to follow a Pilot is that Pilot's subscription. If you subscribe to more than one Pilot, those subscription amounts add. Pilot subscriptions are not deducted from the published return figures. These pages are for research purposes only, for humans and for agents. This is data, not a recommendation, not a ranking, and not investment advice. n/a is unpublished, not zero.
FieldAI Factories
Current as of 2026-10-02
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Michael’s Flagship Fund
Current as of 2026-10-02
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Published PilotMichael SikandMichael Sikand
SleevesAIAISemiconductors and memoryCreator flagships
Slugai-factoriesmemory-supercycle
Portfolio key907212918625
StatusACTIVEACTIVE
ProvenanceAutopilot client composite since launchAutopilot client composite since launch
Inception2026-02-192026-02-10
As of2026-10-022026-10-02
Window2026-02-19 → 2026-10-022026-02-10 → 2026-10-02
Days live225234
MaturityEARLYEARLY
Risk bandHIGHHIGH
ObjectiveHyperscalers are spending $392B in 2026 to build AI infrastructure. This portfolio owns the companies supplying the GPU compute, power, and data center capacity that make it possible. The anchor positions are NBIS and CRWV. Combined they hold over $140B in contracted HPC revenue against a market cap that implies a fraction of that value. The remainder of the portfolio is sized by AI revenue conversion progress, contracted megawatts, and power cost efficiency. The thesis is simple: contracted hyperscaler revenue converts to operating run-rate, the market re-rates these names from speculative to infrastructure, and the multiple expansion does the work.My flagship strategy. This fund started as an ultra high-risk bet: all in on memory stocks in February. After that call delivered more than a double in 6 months, I diversified the winnings into something I could think more long term with: a balanced flagship combining the biggest winners of the AI buildout with high-quality compounders across other sectors like gaming, autonomy, healthcare, power grids, and defense. Roughly half sits in mega-cap tech platforms, Meta, Alphabet, Amazon, Microsoft, Nvidia. Several trade at their cheapest multiples in years despite dominant positions and the cash flows funding the entire AI buildout. Around that core are steadier winners in other pockets of the economy: Berkshire, Lilly, Lockheed, AEP, Sony for ballast, but clear growth stories from trends like missile restocking ($LMT), GTA VI ($SONY), and GLP-1 ($LLY). But there's also a high torque, asymmetric sleeve in AI exposure in names like Lumentum, Credo, and Nebius, where optical interconnect, AI power demand, and neocloud capacity carry enormous upside.
Past week net-0.8%0.3%
Past week gross-0.8%0.3%
1Y netn/an/a
1Y grossn/an/a
Since inception net-27.8%145.9%
Since inception gross-27.8%145.9%
All-time gross-27.8%145.9%
CAGR netn/an/a
CAGR grossn/an/a
Sharpen/an/a
Sortinon/an/a
Max DD-61.2%-36.7%
AUM$706.1k$14.59M
Current subscriptionMichael Sikand - Full Access: Quarterly $79.00; Yearly $199.00Michael Sikand - Full Access: Quarterly $79.00; Yearly $199.00

Performance disclaimer

The performance data presented reflects the aggregated results of actual client portfolios managed by the Registered Investment Adviser (RIA), based on the trading activity in the securities contained in the relevant portfolio over the specified period. If fewer than 10 clients are invested in the portfolio, the data represents the aggregate performance of all clients following this strategy. Actual investor outcomes can vary due to factors like brokerage support for fractional shares, account size, trade timing, fees, and taxes, and past performance should not be interpreted as a guarantee of future results or typical of all portfolios. Performance figures are shown before Pilot subscription amounts. Autopilot does not charge an advisory fee.

"Autopilot" refers to Autopilot Holdings Corp and Autopilot Advisers, LLC, an SEC-registered investment adviser. Investing carries risk-including possible loss of principal-and past performance is not indicative of future results. Figures current as of 10/02/26. Performance shown reflects the period from 9/25/26 - 10/02/26. AI Factories: past week -0.8%; since inception (2/19/26) -27.8%. No Autopilot advisory fee is deducted; representative client-account sample (all accounts if fewer than 10 clients). Michael’s Flagship Fund: past week +0.3%; since inception (2/10/26) +145.9%. No Autopilot advisory fee is deducted; representative client-account sample (all accounts if fewer than 10 clients). Not a recommendation. View important info at joinautopilot.com/disclaimer.

For agents

Canonical HTML: /compare/ai-factories-vs-memory-supercycle. Structured rows: /api/portfolios/compare?ids=ai-factories,memory-supercycle. This is an all-or-nothing pair, not a ranking.

Notes

This is a side-by-side table of the same fields for each Portfolio. It is not a ranking, a score, or a recommendation.

Autopilot does not charge an advisory fee and does not charge an AUM fee. The price to follow a Pilot is that Pilot's subscription. If you subscribe to more than one Pilot, those subscription amounts add. Pilot subscriptions are not deducted from the published return figures.

While individual Portfolios may each be suitable for your risk profile, combining multiple Portfolios may create concentration risks or unsuitable aggregate exposure. Autopilot does not assess aggregate suitability across multiple Portfolios.