The market’s latest obsession has a simple premise: if AI can replicate it with a prompt, the economic moat just got thinner. If AI can’t replicate it — because it requires real-world capacity, networks, permits, engineering, labor, physical logistics, or decades of installed infrastructure — then it suddenly looks… durable. That’s the “HALO” trade: Heavy Assets, Low Obsolescence — and it’s showing up in performance. Goldman’s strategists point to a sustained gap between capital-intensive companies (value driven by physical assets) versus capital-light companies (value driven by human/digital capital), with the “hard asset” side materially ahead since early 2025.

What makes this different from the usual “value rally” is the psychological driver: AI disruption fear. When investors aren’t sure who gets automated next, they don’t calmly model it — they reprice the whole category. The result is a market that looks “fine” at the index level but is violent under the surface: money rotates into sectors that sell tangible stuff (energy, materials, industrials, staples, utilities) and out of sectors that sell digital labor (parts of software, fintech, brokerage/wealth, certain “middleman” models).
The most important nuance: HALO isn’t anti-technology. It’s anti-obsolescence risk. In fact, many HALO names can benefit from AI twice — first because they’re “hard to replace,” and second because AI infrastructure buildout demands more power, more grid, more construction, more equipment, more logistics. That’s why this trade can persist longer than the average “fear rotation”… especially if rates stay elevated and the market keeps punishing long-duration, asset-light multiples.

These are not “predictions” — they’re clean examples of heavy assets + low obsolescence exposure that fit the HALO framing investors are gravitating toward.

Important: some of these may ultimately be huge AI winners (because they adopt AI and expand margins). The point is: in a HALO tape, these are the types of models the market tends to shoot first — because they’re perceived as more “prompt-replaceable,” asset-light, and multiple-sensitive.

A simple framework that matches what’s happening under the hood:

HALO can reverse fast if:

That doesn’t kill the concept — it just means the trade is regime-dependent.

You can see it in the violent target cuts on some high-narrative infrastructure names. The market is saying: “Show me contracted demand, throughput, margins, and delivery.”

Lot of deals yesterday……

AMD made a deal with META

INTU and DOCU made deals with Anthropic

The big event tonight are NVDA earnings after the close.

This was interesting, we’ve been noticing every day around 10AM Bitcoin has a strong move….

I’ll have to keep an eye on this, we trade 0DTE options on Bitcoin and MSTR every day, and I always wait for the 10AM move to get out of the way.

Keysight (KEYS) is quietly becoming one of the most leveraged “picks-and-shovels” beneficiaries of the AI buildout—because as AI racks and clusters scale, the testing and validation problem explodes. In the latest print, KEYS delivered a meaningful beat versus the high end of guidance and then raised FY26 growth to “just above 20%,” with the April-quarter outlook implying roughly ~30% y/y revenue growth and a big step-up in earnings power. What’s driving it: hyperscalers are pulling KEYS in “from early R&D all the way to manufacturing” to emulate real AI workloads and stress conditions across an increasingly complex infrastructure stack—electrical vs optical, Ethernet fabrics, and the next wave of co-packaged optics, silicon photonics, and optical circuit switching (more architectural churn typically = more test content). On top of that, management flagged record defense orders (spectrum operations, space/satellite, radar) and described one of the strongest demand funnels they’ve seen in decades. Net-net: KEYS looks less like a traditional instrumentation cyclical and more like a mission-critical toll collector on the messy, expensive transition to the next generation of AI interconnect and defense modernization.

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