1. When AI capex arrives, read the free-cash-flow swing — and price the "we can rent it out" hedge
The repeatable method
- On any company ramping AI infrastructure, ignore the capex growth rate on its own and go to the free-cash-flow line: did operating cash cover it, or did FCF flip negative in a single quarter?
- Then interrogate the standard defence — "excess capacity can be rented out externally." Ask whether the company actually owns a cloud/rental channel at scale, and whether that channel earns a return or merely recovers cost.
- Offset the bill against the distribution that could monetize it (users, installed base), and demand a concrete usage metric rather than a roadmap.
Here: TCEHY capex +176% Y/Y to ¥52.8B (~$7.8B) flipped FCF from +¥56.7B to a −¥13.8B outflow; the rent-it-through-Tencent-Cloud defence drew App Economy's "Sounds familiar?" — the same argument the US hyperscalers make. The offset is real distribution: WeChat's 1.4B users, a native WeChat agent in test, Hy3 token usage up 20x since April.
Watch for
- A single-quarter capex step-change big enough to invert FCF, paired with a rental-optionality argument and no monetization number yet — the point where an AI story becomes a financing story.
2. Strip the hyperscalers out of the order book to test whether a cycle is broad
The repeatable method
- For any AI-infrastructure supplier, find the growth rate excluding the handful of giant cloud customers. A cycle that survives that subtraction is an industry refresh; one that doesn't is customer concentration.
- Separate orders from revenue and ask the conversion question: how much of the backlog converted this year, and what does the forward revenue target imply about conversion speed?
- Check the margin cost of the mix — hardware-heavy AI revenue usually dilutes gross margin, so a demand win can still compress the model.
Here: CSCO product orders +35%, but +25% excluding hyperscalers — evidence enterprises are refreshing networks for AI too. $4B of Q4 AI orders took FY26 to $9.3B vs a ~$9B target, yet the stock fell ~4% because only $7.5B of FY27 AI revenue was guided against that backlog, while gross margin fell 2pp to 66% on hardware mix and memory cost.
Watch for
- A backlog that grows faster than the guided revenue conversion — the gap, not the orders, is what the market prices.
3. When customers beg for faster delivery, the bottleneck has moved — and so has the risk
The repeatable method
- Look for supply-side tells in the language: multi-quarter customer forecasts, customers "pushing" for faster delivery, factory-footprint expansion, output-doubling targets. These say capacity, not demand, is binding.
- Treat that as a high-quality problem — but immediately check what the stock has already done. A supply-constrained leader that has doubled is priced for the constraint easing in its favour.
- Locate the demand driver inside the mix (which end-market is pulling) so you know what would have to break for the cycle to end.
Here: AMAT customers give eight-quarter forecasts and push for faster tools; Applied nearly doubled manufacturing space and plans to double quarterly output by 2028, with DRAM at 26% of Semi Systems revenue on the HBM race and advanced packaging guided +70%. Q4 guided $10.25B vs $9.56B consensus — and the stock still slipped after nearly doubling this year.
Watch for
- Record results plus raised guidance met with a flat-to-down stock: the tell that the constraint story is fully discounted and the next move depends on surprise, not on strength.
4. Compare revenue growth against volume growth — the gap is the take-rate story
The repeatable method
- For any marketplace or payments business, put revenue growth beside volume growth (GMV, TPV, processed volume). Revenue growing faster means monetization is improving; slower means the take rate is compressing.
- Decompose the direction: rising take rate → higher fees, advertising, value-added services. Falling take rate → mix shifting to cheaper products, or large customers hitting volume tiers with lower pricing.
- Then ask whether the volume gained is worth the rate given up — check whether total gross profit expectations are still rising, and whether operating leverage improves below the gross-profit line.
Here: three variants of the same test. SE: Shopee GMV +28% vs revenue +49%, take rate 12.6% → 14.6% (monetization improving). DLO: TPV +92% vs gross profit +29%, gross profit per TPV dollar 1.07% → 0.72% — "processing vastly more money but earning less on each dollar" — yet gross-profit guidance still rose and operating profit reached 50% of gross profit from 44%. ADYEY: volume +24% vs net revenue +19%, with the gap being deliberately reinvested into loyalty/billing acquisitions.
Watch for
- Volume accelerating while gross profit per unit of volume falls for a third consecutive quarter — the point at which "we are gaining wallet share" has to start showing up as absolute gross-profit dollars.
5. Judge a lender on cost of credit and risk-adjusted margin, never on loan-book growth
The repeatable method
- Whenever a fintech grows its loan book fast, go straight to three numbers: provisions (Y/Y), 90+ day delinquencies (vs a year ago), and risk-adjusted net interest margin — the margin after expected losses.
- A healthy grower shows the portfolio expanding while cost of credit falls and risk-adjusted NIM rises. A deteriorating one shows the book doubling while provisions and late-stage delinquencies jump.
- Discount management's "specific troubled borrowers / weaker vintages" explanation until at least two subsequent cohorts season cleanly — vintage problems are only anomalies in hindsight.
- Check early-stage vs late-stage delinquency separately: early-stage improving while 90+ day rises means the new book is better than the old one.
Here: the same country, opposite outcomes. NU grew credit 37% to $39.4B while cost of credit fell 9% Q/Q, risk-adjusted NIM rebounded 9.5% → 12.4% and early delinquencies improved to 4.8%. STNE more than doubled its loan book to R$3.75B, but provisions +128% and 90+ day delinquencies 4.7% → 8.6%, blamed on weak H2-2025/early-2026 vintages. SE's Monee sits in between — 1.0% NPLs, but EBITDA up only 13% as provisions and marketing scale.
Watch for
- Loan-book growth and delinquency rate roughly doubling together — the classic sequence in which a lender discovers it grew faster than its underwriting.
6. Separate a guide cut that management chose from one the market forced
The repeatable method
- When guidance is lowered, find which channel or segment shrank. If the company withheld supply from a channel on purpose, read the cut as a mix decision, not lost demand.
- Corroborate with the margin line: deliberate discipline shows up as record gross margin and raised margin guidance alongside the lower revenue guide.
- Watch the healthy channel's trajectory (DTC, first-party, subscription) — if it is compounding while the sacrificed channel shrinks, the mix is improving even as the total slows.
- Set a review date: distinguish temporary inventory discipline from a durable slowdown by whether the sacrificed channel stabilizes within two to three quarters.
Here: ONON fell nearly 20% on an FY26 cut from "at least 23%" to the low 20s — but DTC grew 26% (34% cc) to 46% of sales while wholesale was deliberately held back in the Americas "to protect full-price selling and retailer inventory health," delivering a record 65% gross margin and EBITDA +24%. JD is the mirror image: revenue fell 3% while cutting food-delivery subsidies more than halved losses and doubled EBITDA.
Watch for
- A lowered revenue guide printed alongside a raised gross-margin guide — the signature of a company trading volume for price integrity rather than losing the customer.
7. When a growth pivot changes the margin structure, re-underwrite the business, not the quarter
The repeatable method
- When a new product line drives the growth, check what it does to gross margin — and whether management describes the new level as temporary or permanent. "We expect that margin profile to persist" is a re-rating statement.
- Ask what kind of company the mix shift is producing (a high-margin software-like model becoming a distribution/logistics model), then apply the multiple appropriate to the new business.
- Cross-check cash: revenue accelerating while free cash flow turns negative means the growth is being funded, not self-financing.
Here: HIMS grew revenue 38% on branded GLP-1 volume while gross margin fell 76% → 64% ("management expects that lower margin profile to persist") and FCF swung to −$68M — "increasingly looking like a lower-gross-margin global healthcare platform rather than the exceptionally high-margin telehealth model investors were used to." CSCO and TCEHY show the same mechanic in hardware mix and capex.
Watch for
- Raised revenue guidance paired with narrowed EBITDA guidance — the arithmetic of buying growth at a structurally lower margin.
8. Size an AI revenue lever against the deceleration it has to offset
The repeatable method
- Credit AI adoption only where it appears as recurring revenue — AI ARR, its share of net-new ARR, consumption above included credits — not as usage anecdotes.
- Then put that lever beside the forward guide. If the company beats and still leaves full-year guidance untouched while guiding the next quarter materially lower, the lever is not yet big enough to offset the core.
- Read restructuring (large workforce cuts to fund the pivot) as confirmation of urgency, not of success.
Here: MNDY's AI ARR doubled Q/Q to 17% of net-new ARR (from 10%) with customers consuming past their bundled credits — but FY26 guidance stayed at $1.466–$1.474B despite the beat, Q3 implies 16–17% growth, and ~20% of the workforce was cut to concentrate on the AI platform.
Watch for
- A beat that does not move the annual guide: management is signalling the second half is where the deceleration lands.
9. Track a cash-hoarder by direction of the pile, not its size
The repeatable method
- For a capital-allocation story, ignore the absolute cash balance (always "enormous") and measure the change plus the three uses: net equity purchases, buybacks, and whole-company acquisitions.
- Net buyer vs net seller of equities is the cleanest single signal — especially the first flip after a long stretch on one side.
- Then reset the question from timing to returns: once capital is moving, the risk shifts from "will they deploy?" to "at what return, and under whose judgement?"
Here: BRK.B bought $23B of stocks vs $3B sold — the first net-buyer quarter in over three years — including ~$10B of GOOGL, plus $4.5B of Q2 buybacks (≈$3.4B more in July) and the $6.8B TMHC acquisition, taking cash from ~$397B to $365.5B. "The question is no longer when Berkshire will deploy capital. It is whether Abel can earn Buffett-like returns on it."
Watch for
- A first-in-years flip to net buying alongside accelerating buybacks and an outright acquisition — three simultaneous uses of cash is a policy change, not a trade.
The repeatable method
- For each deal, ask what it lets the acquirer sell to the existing customer that it could not sell before — loyalty, billing, logistics, a new merchant class.
- Split the raised guidance into organic and acquired, and check whether management admits the underlying business is also running ahead of plan.
- Price the dilution explicitly: most platform-broadening deals cost margin points in year one, so the test is whether the widened surface earns them back.
Here: ADYEY bought Talon.One (loyalty) and Orb (usage-based billing) toward a merchant "financial operating system," lifting FY26 cc guidance to 21–23% while conceding ~1 point of EBITDA-margin dilution and capex at ~7% of revenue. GLBE bought Passport to reach merchants outside its Merchant-of-Record model, raising GMV and revenue guidance "partly" on Passport while stating the underlying business is also ahead of plan — with margin still expanding three points to 21%.
Watch for
- A guidance raise the company itself attributes partly to the acquisition — the honest split is the tell that the organic number is real too.