Disclaimer: This analysis is for informational and educational purposes only and does not constitute investment advice. All investments carry risk, including the risk of loss. Past performance does not guarantee future results. Please consult with a qualified financial advisor before making investment decisions.
Position Disclosure: The author holds positions in the following symbols: AAOI, AAPL, ACHR, AI, AISP, ALAB, AMBA, AMD, AMPX, AMZN, ANET, APLD, APP, APUS, ASTS, AUR, AVGO, BBAI, BEAM, BFLY, BKSY, BRK.B, CEG, COHR, COIN, CRDO, CRM, CRNC, CRSP, CRWD, CRWV, DDOG, DNA, EQIX, ESTC, ETH, ETN, FIVN, FLNC, FN, GOOG, GOOGL, HURA, HUT, IBIT, INOD, IONQ, IREN, JOBY, KTOS, LITE, LMND, MBLY, META, MPWR, MRVL, MSFT, MSTR, NBIS, NET, NNOX, NOW, NTRA, NVDA, OKLO, ON, ORCL, OUST, PANW, PATH, PDYN, PL, PLTR, POET, PRME, PWR, QBTS, QUBT, RCAT, RDVT, RGTI, RIOT, RKLB, RLAY, RMBS, RR, RXRX, SDGR, SERV, SITM, SMCI, SMR, SOUN, STEM, SYM, TEM, TQQQ, TSLA, TSM, TWST, USMV, VGT, VICR, VRT, ZS.
This "taster" represents a small selection of high-ranking AI-leveraged opportunities from our analysis framework. Each has been evaluated for its alignment with "The Last Economy" thesis—focusing on companies positioned to benefit from fundamental shifts in technology, capital deployment, and value creation through 2030.
Selection Criteria: Companies were selected from our Builder membership tier based on AI segment exposure, Last Economy alignment score, and ranked by growth potential as of January 28, 2026. We applied some diversity constraints to ensure you get to see a balanced set of asset classes and sectors in this short list.
Also available as a PDF download.
Strategy Inc (MSTR)
crypto
software
enterprise
ai
Synopsis
Returns are primarily a function of bitcoin price and the durability of the issuance engine. If capital stays open and BTC appreciates materially into 2031, equity can compound non-linearly; if premiums compress, downside can be reflexive.
Thesis
A scaled bitcoin balance sheet plus an issuance engine can compound per-share bitcoin exposure; if BTC financialization deepens, Strategy can
re-rate from “BTC proxy” to “BTC operating platform,” while software adds modest but real option value and trust/controls moat.
Last Economy Alignment (0.7/1.0)
Direct beneficiary of digital asset financialization and new trust rails; downside is heavy dependence on capital markets and policy regime stability.
Critique
If the stock persistently trades at/under bitcoin
NAV, issuance becomes uneconomic, senior claims dominate, and the compounding loop stalls—leaving equity as a leveraged, volatile BTC holder with capped upside.
Palladyne AI Corp. (PDYN)
ai
robotics
defense
software
aerospace
Synopsis
The setup is a credibility-driven transition: convert acquired
backlog into delivered revenue, then turn autonomy into repeatable deployments. Upside is meaningful if software attach and customer follow-ons arrive before financing constraints dominate.
Thesis
PDYN’s non-linear upside is converting “R&D-style autonomy” into procurement-ready, repeatable defense/industrial deployments by pairing
SwarmOS + avionics + certified U.S. manufacturing, then shifting mix toward higher-margin software and recurring security/verification add-ons as adoption scales.
Last Economy Alignment (0.7/1.0)
Embodied autonomy + defense supply-chain credibility fit a world where cognition is cheap, trust/security are scarce, and geopolitics favors domestic production.
Critique
The acquisitions may lock PDYN into a lower-
multiple manufacturing/services mix, while defense procurement timing plus
dilution risk caps equity upside even if revenue grows.
Aurora Innovation, Inc. (AUR)
transportation
ai
robotics
software
hardware
Synopsis
The upside comes from turning early route wins into a scalable, bookable driverless capacity product with improving economics. The main risk is that validation and permissioning remain sequential, slowing scale enough to drive
dilution and
multiple compression.
Thesis
AUR’s non-linear upside is a shift from “proved-it-on-one-route” to a repeatable driverless freight product: expand lanes + remove onboard supervision + embed booking into dispatch software, turning safety/reliability into a premium autonomy
take-rate on a massive freight spend pool.
Last Economy Alignment (0.7/1.0)
Autonomy commoditizes driving labor; winners monetize trust + uptime + distribution. Aurora’s partner ecosystem and operational proof can become the moat, but scale is gated by safety/regulatory acceptance.
Critique
Driverless scale may stay lane-by-lane and partner-gated long enough that
dilution + slower adoption compress per-share upside even if the tech works.
Recursion Pharmaceuticals, Inc. (RXRX)
biotech
ai
healthcare
software
Synopsis
The 2031 outcome hinges on converting early clinical proof into an FDA-aligned path and scaling monetization beyond one-off milestones. If that happens, revenue quality improves and the
multiple can expand alongside early commercialization.
Thesis
If
REC-4881 converts early proof into an FDA-aligned
registrational plan and Recursion turns its platform into repeatable “product + partnered + software-like” economics, RXRX can
re-rate from pre-revenue
TechBio to an early-commercial, data/compute-scaled biotech by 2031.
Last Economy Alignment (0.7/1.0)
RXRX compounds on proprietary data + compute loops (cheap cognition), but must convert that edge into regulator-accepted human proof and trusted workflows.
Critique
If
REC-4881’s FDA pathway becomes larger/slower than hoped and “platform monetization” stays milestone-lumpy,
dilution + AI commoditization can cap the
re-rate through 2031.
SentinelOne, Inc. (S)
cybersecurity
software
ai
cloud
enterprise
Synopsis
A credible path exists to compound revenue via module attach and outcome-based automation, but ecosystem gating and suite competition likely keep valuation below category leaders. The five-year upside is mainly execution-driven revenue growth with modest
re-rating.
Thesis
If SentinelOne turns AI-driven security labor displacement into measurable outcomes (faster containment, fewer incidents) and packages that as platform modules (data, cloud, response automation), it can compound revenue to ~3B by 2031 while staying capital-light; the stock can
re-rate modestly as durability and cash generation become repeatable.
Last Economy Alignment (0.7/1.0)
AI increases both attack volume and automation demand; security becomes a “trust infrastructure.” SentinelOne’s edge+cloud AI and workflow automation are well-positioned, but distribution (Microsoft/platform suites) and trust incidents can still cap upside.
Critique
The platform thesis may not monetize: Microsoft + scaled suites could bundle away differentiation, while Windows ecosystem rule changes and governance/cash obligations slow execution and keep SentinelOne in a “challenger
discount.”