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, ALAB, AMD, AMPX, AMZN, APLD, APP, ASTS, AUR, BBAI, BFLY, BKSY, BRK.B, COHR, CRDO, ESTC, ETH, GOOG, GOOGL, HURA, HUT, IBIT, INOD, IONQ, JOBY, KTOS, LITE, MBLY, META, MSFT, MU, NBIS, NEE, NNOX, OKLO, OUST, PDYN, PL, PLTR, POET, QBTS, QUBT, RCAT, RGTI, RKLB, RLAY, RMBS, RR, SDGR, SGOV, TEM, USMV, VGT, VICR, VRT, VST.
Every week, we score ~120 public companies on one question: as AI changes how businesses think, build, and compete, who benefits most? These five ranked highest this week — a sample of the full analysis available to members.
How We Picked Them: Selected from our full coverage based on growth potential, AI advantage, and how well-positioned each company is as of September 21, 2026. We diversified across sectors so you see a range of opportunities, not just one hot corner of the market.
Also available as a PDF download.
TeraWulf Inc. (WULF)
ai
cloud
energy
crypto
Synopsis
This is a real AI-infrastructure transition, not a slogan. The opportunity is large if powered campuses keep turning into rent-bearing capacity, but equity upside depends on capital discipline almost as much as customer demand.
Thesis
TeraWulf owns scarce power-backed campuses in a market where AI demand is outrunning time-to-power, so it can compound revenue non-linearly if it keeps turning signed megawatts into rent-bearing delivery and shifts growth funding toward asset-level capital instead of repeated parent-level
dilution.
Last Economy Alignment (0.7/1.0)
AI makes powered campuses more valuable, not less. TeraWulf captures that through contracted capacity, site control and utility positioning, though financing and approvals
cap how much of the tailwind it can keep.
Critique
If scarce power-backed sites become easier for better-capitalized rivals to finance and replicate, TeraWulf’s contracts may not stop rent compression and the equity remains a capital-hungry builder rather than a premium AI infrastructure owner.
Nebius Group N.V. (NBIS)
cloud
ai
software
enterprise
hardware
Synopsis
This is an execution-heavy AI infrastructure story. If power and cluster delivery keep pace, revenue can outgrow normal software trajectories even with multiple compression; if not,
capex and pricing normalization can absorb much of the upside.
Thesis
Nebius is one of the few public AI-native clouds with real power,
GPU, financing, and workflow integration; if it keeps turning contracted capacity and prepayments into live billable clusters before scarcity normalizes, revenue can scale non-linearly through 2031 even while the
valuation multiple compresses.
Last Economy Alignment (0.7/1.0)
Nebius sells a scarce AI-era input rather than human cognitive labor, and its value capture is tied to power,
GPU capacity, and embedded cloud workflows. The main limiter is not demand but execution and whether compute economics stay attractive as supply expands.
Critique
If
GPU and power scarcity ease before Nebius builds enough trust, distribution, and workflow attach, it could end up as a capital-heavy compute utility with rising revenue but weaker per-share value capture than investors expect.
Tempus AI, Inc. (TEM)
healthcare
ai
software
biotech
medical devices
Synopsis
A real healthcare AI flywheel exists here: diagnostics create scarce data, data improves products, and products deepen workflow embedding. The investment case now depends less on relevance and more on converting that advantage into recurring, self-funded growth.
Thesis
Tempus can outgrow ordinary diagnostics because each added test and workflow relationship creates governed clinical data that can be re-monetized across research, software, and monitoring; the five-year upside is mainly a revenue-quality upgrade, not just more lab volume.
Last Economy Alignment (0.7/1.0)
Cheaper AI raises the value of Tempus' scarce patient-linked data, compliance stack, and workflow embedding; the main limiter is regulator and payer timing, not model access.
Critique
If buyers keep paying mainly for tests and bespoke data projects while reimbursement gates slip, Tempus may remain a premium lab story rather than a compounding platform.
Zscaler, Inc. (ZS)
cybersecurity
cloud
software
enterprise
ai
Synopsis
An inline security leader should keep compounding as AI expands the amount of traffic, data, and autonomous activity that needs policy control. The key investment question is whether monetization shifts from people-based subscriptions toward workloads, transactions, and outcomes before bundled suites compress pricing.
Thesis
Zscaler should compound as AI increases the volume of traffic, identities, workloads, and autonomous actions that need inline policy control, with the main upside coming from cross-sell and a shift from human-seat pricing toward
metered, workflow, and agent-linked monetization.
Last Economy Alignment (0.7/1.0)
Zscaler is strongly aligned because AI expands the amount of machine activity that needs trust, inspection, and permissioning through an inline control point it already owns. It is not closer to 1.0 because value capture is still partly seat-linked and bundled suites can pressure pricing if non-seat monetization matures too slowly.
Critique
If paid human seats flatten faster than Zscaler can monetize agents, workloads, and outcomes, larger suites could bundle good-enough controls and
cap both growth and valuation.
CoreWeave, Inc. (CRWV)
ai
cloud
enterprise
software
Synopsis
The company has a real shot at strong shareholder value creation because it controls a scarce AI-era bottleneck and is layering higher-value software on top. The debate is whether that mix shift arrives fast enough for equity holders before financing needs and eventual pricing normalization take more of the upside.
Thesis
CoreWeave is one of the clearest public ways to own scarce AI compute capacity outside the
hyperscalers; if it keeps turning financed power into live clusters and lifts more revenue into
inference, tooling, and trusted enterprise workflow layers before raw compute pricing normalizes, equity value can still compound strongly through 2031 despite heavy leverage.
Last Economy Alignment (0.8/1.0)
CoreWeave sells a core AI-era bottleneck: power-backed compute. Low software commoditization risk, high switching costs, and capital-scale advantages help, but leverage and future pricing normalization keep it below the top tier.
Critique
If CoreWeave remains mostly a usage-priced
GPU host, scarcity rents fade before
inference, workflow control, and regulated trust layers become material, leaving revenue growth unable to overcome leverage and
dilution.