Welcome back to Altitude!

This edition digs into the Fed hiking rates even as the labor market visibly cooled, what that tension means for the way private credit is sorting into two distinct markets, and a run of AI-infrastructure financings large enough to reshape how growth companies think about their capital stacks.

On Our End:

$30M bank facility ($20M revolving / $10M term). Private credit lender scaling its loan book.

$27.5M term loan facility for battery storage company.

$20M senior-secured facility. Auto lender, structured to convert from revolver to term as the borrowing base matures.

$15M senior-secured credit facility. Growth-stage operating company. Up to $15M in total availability with $5M funded at close, a four-year term, 15% cash-pay interest, and a small equity kicker (a penny warrant for 2% of common). We're pre-clearing high-level terms with the company before drafting a formal term sheet — a step we increasingly find saves everyone time compared to negotiating a full document before both sides agree on the deal's shape.

$4M senior facility, scalable to $15M. Real estate lender, supporting balance-sheet growth ahead of a broader capital raise.

$1.75M junior term loan to support acquisition of a regional HVAC business.

Why the next financing advantage goes to companies with clean books, not the lowest headline rate.

On September 17, the Federal Reserve did something that caught a lot of desks off guard: it raised the federal funds target range a quarter point, to 3.75%–4.00%, in the same month the labor market was visibly losing steam.

Two weeks later, the September jobs report landed — just 29,000 new jobs, unemployment up to 4.2% from 4.1%. The Fed hiked into softening data. That's not how this is supposed to go.

Layer on top of that a separate storyline that's been building all year: the New York Fed has spent since spring quietly sitting down with JPMorgan, Wells Fargo, Barclays, and Morgan Stanley to examine their lending to nonbank credit funds — exposure that's grown from roughly $300 billion in 2016 to more than $1.5 trillion today.

JPMorgan took real writedowns in March on loans to software companies it judged exposed to AI disruption. The European Central Bank and the Bank of England have opened their own reviews. Earlier this year, some fund investors tried to pull nearly 40% of their capital in a single quarter.

Put those two threads together, and the market narrative writes itself: credit is tightening, scrutiny on private lenders is rising, and the whole asset class is overdue for a reckoning.

I don't think that's the right way to read it — and more importantly, I don't think it's the useful way to read it if you're a founder or finance leader figuring out what your next raise looks like.

What's actually happening is a split, not a slide.

The scrutiny landing on banks and large credit funds is concentrated in one area: big, liquid, mark-to-model exposure, often tied to the same AI trade driving today's eye-popping valuations.

That's a meaningfully different animal from the lower-middle-market direct lending that makes up most of the private credit market by deal count — smaller facilities, real collateral, cash-flow underwriting, no mark-to-market feedback loop to spiral.

Goldman Sachs Asset Management said as much this week: scrutiny on private credit hasn't dented institutional demand for alternatives.

That's not spin. It's a sign the market already understands the split I'm describing, even if the headlines haven't caught up.

The strongest counterargument is that regulators don't open four-bank reviews and three-country probes for no reason, and valuation discipline in one corner of a market can spill over into funding costs and appetite everywhere else.

If a large credit fund has a bad quarter publicly enough, LPs get nervous about the whole category, and that nervousness doesn't neatly respect segment lines.

That risk is real and worth watching.

But here's what it misses: the companies and lenders who get hurt by a flight to quality are the ones whose underwriting depended on the froth holding — not the ones underwriting cash flow in the first place.

A Fed that just hiked into a cooling labor market is telling you borrowing costs aren't dropping on your timeline. In that environment, the advantage shifts to whoever has the cleanest financials and the most credible plan, not whoever can chase the lowest headline rate from the biggest fund.

The headlines will keep treating private credit as one thing cracking.

It's actually two things diverging — and knowing which side of that line you're standing on is about to matter a lot more than the rate on the term sheet.

In a model-misbehavior disclosure dated September 26, 2026, OpenAI said its AI models engaged with U.S. government websites in unexpected ways, with reporting describing at least one instance where a model attempted to access an education site's systems.

Why It Matters: As enterprises race to deploy AI agents for real work, the gap between an impressive demo and something safe to run unsupervised in production remains wide — and it's the AI labs themselves that are surfacing it.

For Our Audience: If you're evaluating AI agent tools for underwriting, reporting, or customer-facing work, this is a reminder to scope permissions tightly and keep a human in the loop, not a reason to stop evaluating.

USDA's Economic Research Service projects 2026 food prices up 2.9% overall, with beef and veal leading at a 6.3% increase, driven by a multi-year contraction in the U.S. cattle herd that's outpacing any softening in demand.

Why It Matters: Persistent protein inflation squeezes margins for restaurant groups, food manufacturers, and CPG brands at exactly the moment the Fed just signaled it isn't in a hurry to cut rates.

For Our Audience: Food & beverage operators financing inventory or expansion should be underwriting deals against sustained input-cost inflation, not a return to pre-2024 pricing.

A Gallup workforce survey of nearly 24,000 U.S. employees found that 50% now use AI in their roles, and organizations that have adopted AI are more likely than non-adopters to both expand headcount (34% vs. 28%) and cut headcount (23% vs. 16%).

65% of employees at AI-adopting companies report real productivity gains, but fewer than 1 in 10 say it's fundamentally changed how work gets done.

Why It Matters: The caricature of AI adoption as either pure efficiency or mass layoffs misses what's actually happening — it accelerates both inside the same organization.

For Our Audience: Finance leaders building headcount plans or underwriting growth stories that lean on AI productivity gains should demand specifics, not slogans.

The Fed hiked into a softening labor market rather than cutting into it; inflation is still running above target, and credit conditions are tightening even as private credit faces its own sorting process.

Borrowing costs aren't coming down on anyone's preferred timeline — plan accordingly.

Market Summary: The combination of a hawkish Fed and a cooling labor market is an unusual pairing, and it runs counter to the “rate relief is coming” narrative many founders have been planning around.

Borrowing costs are likely to remain elevated longer than the optimistic case assumed, raising the bar for underwriting discipline across the board — public credit, private credit, and everything in between.

For companies planning a raise or refinancing in the next two quarters, the message is simple: plan for today's rate environment, not the one you're hoping for.

Crusoe Energy Systems — Series F, $3.9b, AI Data-Center Energy Infrastructure

Crusoe — which built its business powering computing with stranded and flared natural gas before pivoting hard into AI data-center infrastructure — closed one of the largest venture rounds of the year.

The size of the round says as much about the capital intensity of the AI buildout as it does about Crusoe specifically: powering AI at scale is now a trillion-dollar infrastructure problem, and investors are writing growth-equity-sized checks to companies solving the energy side of that equation, not just the chips.

RXO acquired by C.H. Robinson — $5.8B

Each RXO shareholder receives $17.25 in cash plus 0.0856 C.H. Robinson shares (implied $30.25/share), roughly 57% cash / 43% stock, with election and proration mechanics for shareholders.

Strategic Rationale: Scale. Freight brokerage margins have been under pressure for years, and this is a bet that scale and combined technology — not specialization — wins the next cycle.

Smaller / Undisclosed:

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To your growth,

Thanks for reading Altitude!

If you're financing growth, evaluating a refinancing, or just want a quick check on a term sheet, connect with me directly on LinkedIn. If you know someone who'd get value from this, forward it their way.