I’ve been a trader and investor for 44 years. I left Wall Street long ago—-once I understood that their obsolete advice is designed to profit them, not you.
Today, my firm manages around $4 billion in ETFs, and I don’t answer to anybody. I tell the truth because trying to fool investors doesn’t help them, or me.
In Daily H.E.A.T. , I show you how to Hedge against disaster, find your Edge, exploit Asymmetric opportunities, and ride major Themes before Wall Street catches on.

Our next webinar is scheduled Friday, February 20 2pm EST more info below. Disclosure Day: A Playbook For Investors If the Government Confirms It Has Alien Technology. Click HERE to sign up.

Table of Contents

H.E.A.T.

If you think about the likely top themes over the next 1-3 years it’s hard not to put robotics near the top of that list. Look at other technological advancements, TVs were a luxury item not there are multiple in every home, personal computers were a luxury item, now there are many in every home, cars where a luxury item, now most people have 2. Robots………

If you want a clean “tell” that a theme has moved from sci‑fi into capex, it isn’t a hype deck… it’s a stage demo with a product roadmap attached. That happened at CES: Hyundai-owned Boston Dynamics publicly demonstrated its humanoid Atlas, and said a product version aimed at car-assembly work is already in production and slated for deployment by 2028 at Hyundai’s EV facility near Savannah, Georgia. That matters because the market opportunity for “embodied AI” (AI that can do physical work) is being framed as enormous — Morgan Stanley has published research estimating the humanoids market could reach $5 trillion by 2050 (plus supply chains, maintenance, etc.), with adoption accelerating later in the 2030s and into the 2040s. And Barron’s captured the broader Wall Street mood: estimates for robotics run anywhere from “very big” to “civilization-scale big,” and today’s humanoids are still expensive (six figures), but AI advances are pulling the timeline forward — which is why automakers and chip companies are suddenly showing up in the same sentence.

Now here’s the part most investors miss: the investable robot story is not “who has the coolest humanoid.” It’s who controls the pipes—the manufacturing base, the supply chain, the motion stack, the sensors, the compute, and the power that makes robots viable at scale. That’s why SoftBank agreed to buy ABB’s robotics business for about $5.4B, explicitly positioning it as a “AI + robotics / physical AI” move (deal expected to close mid-to-late 2026). That is institutional capital saying, out loud: industrial robotics isn’t mature and boring anymore — it’s the chassis AI is about to ride on.

The real plot twist: China isn’t “catching up” — it’s trying to overwhelm

While U.S. headlines fixate on Tesla vs. Boston Dynamics vs. a handful of startups, China is doing what it did in EVs: state support + supplier density + rapid commercialization + early domestic demand. The WSJ reports 140+ humanoid robotics companies in China, with $26B+ in government-backed investment funds since late 2024 (per Morgan Stanley’s calculation), plus perks like discounted land/rent, favorable lending, and even buyer subsidies (~10% of the price) to get humanoids deployed and collecting data in the wild. And this isn’t abstract — Reuters reported UBTech signed a deal with Airbus around deploying humanoid robots in aviation manufacturing (still early-stage), with UBTech citing sizable order momentum and aiming for production capacity above 10,000 units by 2026. Translation: China is trying to turn humanoids into the next “EV-style” exportable industrial product category — fast.

Winners and losers

(Examples, not recommendations — this is theme framing, not personalized advice.)

Potential winners

1) “Robot picks & shovels” (the non-negotiables)
Robots don’t run on vibes. They run on compute, sensors, power, and motion control. As embodied AI scales, you should expect persistent demand for:

  • AI compute and edge inference (robot “brains,” training, simulation)

  • Sensors and perception (vision, depth, radar/IMU, sensor fusion)

  • Electrification + power infrastructure (charging, factories, data centers, grid hardening — robots don’t help if power is constrained)

2) High-volume manufacturers (robots are a manufacturing game, not just an AI demo)
The industry’s bottleneck isn’t “can we make a robot walk?” It’s can we make 100,000 of them with acceptable reliability, serviceability, and cost. That’s why automakers are central characters — they already know supply chains, tolerances, QA, and scale economics.

3) Industrial automation incumbents (the “boring” winners can be huge)
Even if humanoids are the headline, the near-term monetization is often: automation retrofits, warehouse robots, machine vision, factory software, and integration. And the consolidation wave is real — see SoftBank moving to acquire ABB Robotics.

4) Logistics and warehouse operators who adopt early
Robots don’t just sell hardware — they can reshape margins. The first winners are usually the buyers who deploy successfully (and quietly) before everyone else does.

Potential losers

1) Labor-arbitrage business models
Anything whose “moat” is cheap repetitive labor (light assembly, basic warehouse picking, parts sorting, routine inspection) is structurally exposed if embodied AI gets even good enough.

2) Businesses that depend on slow adoption as a safety blanket
This is the uncomfortable part: adoption doesn’t need to be universal to be disruptive. It only needs to hit the “right” nodes — high-wage geographies, labor-short industries, and regulated environments where reliability gets engineered.

3) Pure-play hype with no scale path
Humanoids are still expensive and hard to manufacture. The losers won’t be the companies with the worst demos — they’ll be the ones without a credible plan for cost-down, service, and supply-chain independence.

The simplest way to frame it

Robotics is the next interface for AI — and the real arms race is industrial capability.

  • The U.S. still leads in foundational models, but China is trying to win the hardware + scale + deployment game.

  • The market opportunity is big enough that credible institutions are already underwriting it as a multi-decade theme.

  • The best “robot” bets often won’t look like robots — they’ll look like compute, sensors, electrification, manufacturing equipment, and automation plumbing.

What I’d watch next

  • Real deployments (factory/warehouse pilots → multi-site rollouts) more than flashy demos

  • Unit economics: service costs, uptime, insurance/liability frameworks, and integration timelines

  • Supply chain localization (especially exposure to China-made components)

  • China policy intensity (subsidies, standards, procurement mandates) as the EV playbook repeats

  • M&A and consolidation (SoftBank/ABB is a signal, not a one-off)

News vs. Noise: What’s Moving Markets Today

A ton going on in the markets last week, below I hit some of the key points. Will be interesting to see whether Thursday was a bottom, and therefore Friday was the start of a recovery, or if Friday was more of a dead cat bounce. We sat down with George Noble on Friday (see below), he would say Friday was an opportunity to get out of AI and Crypto. I don’t make predictions, instead I prefer to be prepared for anything, but I am running higher than normal hedges……

Noise:
“AI killed software, crypto is broken, gold doesn’t hedge, and the capex numbers prove the bubble is popping.”

News:
“This is a positioning-and-ROI tape: software is getting repriced on moat durability, hyperscaler capex is so large it’s forcing ROI discipline, crypto is unwinding without a single catalyst (classic leverage/positioning), and metals are trading with risk because correlations are being driven by positioning—not fundamentals. Macro activity prints still look constructive; the real tail risk is liquidity plumbing (credit/funding), not a sudden economic collapse.”

Here are a few of the key market drivers from last week…..

1) Software / Tech rotation: what’s actually driving the tape

  • Software is the epicenter of the equity drawdown: crowded positioning is the accelerant.

  • The trigger is AI moving from “tools” → “disruptors” in enterprise workflows:

    • Anthropic’s Claude Opus 4.6 aimed at enterprise (not consumer) use.

    • “Cowork” (AI coding platform) + open-source plug-ins made freely available across industries (the note highlights that this is the disruptive wedge if adoption spreads).

  • This is a factor/positioning-driven rotation, not (yet) a macro blowup:

    • Cyclicals remain on firm footing, implying this is idiosyncratic tech risk more than a broad growth scare.

  • Noise framing: “AI killed software” / “SaaS is finished.”

  • News framing: “The market is repricing durability of moats and AI ROI—and crowded positioning is magnifying the move.”

2) The real AI “crack”: not demand collapse — it’s ROI scrutiny vs. capex shock

  • $600B+ of planned AI infrastructure spending in 2026 (hyperscalers), “far exceeding expectations.”

  • Specific capex guidance:

    • Alphabet: $175–185B capex (roughly double last year per your excerpt)

    • Meta: $115–135B

    • Amazon: $200B and the market punishing it (your excerpt cites an ~11% after-hours drop tied to investor concern)

  • Four giants (Microsoft, Meta, Amazon, Alphabet) planning up to ~$670B capex in 2026.

  • As a share of GDP: ~2.1%, compared with:

    • Apollo: ~0.2%

    • Interstate highways: ~0.4%

    • Railroads (1850s): ~2.0%

    • Louisiana Purchase: ~3.0%

  • WSJ also notes capex as a % of sales is surging; Meta potentially >50% of sales in 2026 (per projections cited).

  • Noise: “Capex is huge, therefore AI is a bubble, full stop.”

  • News: “The market is shifting from ‘spend = good’ to ‘show me ROI’ as spend approaches historic-scale capital efforts.”

3) OpenAI “defense week” = credibility stress, not just PR drama

  • CNBC says OpenAI made >$1.4T worth of infrastructure deal commitments last year (that’s your big “scale/credibility” number).

  • The story emphasizes OpenAI leadership going unusually public to “correct narratives” across:

    • Nvidia partnership questions

    • Musk litigation

    • Research vs product focus

    • Anthropic rivalry / “ads” messaging

  • Noise: “This is just media theater.”

  • News: “When the center of the ecosystem starts aggressively managing the narrative, it’s a tell that the market’s credibility threshold is rising.”

4) Crypto winter: the key point is mystery + leverage + fading catalysts

  • Bitcoin:

    • -16% on the week to about $70,008

    • -45% from the October high (~$126,273)

  • Ether:

    • -24% to about $2,052

    • -59% from its own high

  • Many big bulls can’t agree on a single cause; no “smoking gun.”

  • Menu of explanations:

    • attention shifting to other speculation arenas (AI, metals, prediction markets, meme-like trades)

    • product proliferation (ETFs/derivatives) changing perceived “scarcity”

    • Warsh/dollar/rates narrative getting blamed (even if it doesn’t fit perfectly)

    • regulatory “clarity” delays

    • profit-taking after a huge run

  • Noise: “Crypto is collapsing because of one thing (Warsh / ETFs / regulation).”

  • News: “This is what crowded + leveraged markets look like when the catalyst pipeline stalls: lots of theories, one reality—volatility and forced selling.”

5) Precious metals: the best “backup” is correlation/positioning, not “thesis broken”

  • Gold volatility as positioning-driven, not thesis-driven:

    • Gold seen as a “USD diversification trade.”

    • Gold is trading with positive correlation to risk assets right now, suggesting positioning correlation > fundamental correlation.

  • Noise: “Metals are proving the debasement trade is dead (or alive).”

  • News: “In high-correlation tapes, metals can trade like risk assets because positioning is the driver—don’t confuse that with a broken long-term thesis.”

6) Macro backdrop: strong activity data vs. noisy labor prints

  • ISM Manufacturing: 52.6 vs 48.5 expected, first expansionary read in ~12 months, with new orders strong.

  • PMIs: S&P Composite PMI around 53, ISM Services around 53.8 (per your excerpt).

  • Labor “scares” in the note:

    • Challenger job cuts 108k in January, +118% YoY (headline scary)

    • But: quits/hiring/layoffs rates remain consistent with stability; initial claims described as rebound from low levels / weather-related; JOLTS lag effects from shutdown.

  • Noise: “Tech down = growth down.”

  • News: “The economy prints are not recessionary; this is a rotation / repricing story unless credit breaks.”

7) The “macro wild card”: Warsh and the Fed balance sheet (contagion through liquidity, not rates)

  • Key idea: Warsh is framed less as “hawk/dove on rates” and more as a potential balance-sheet regime shift:

    • Prefers a structurally smaller Fed balance sheet (note cites ~$6.6T).

    • More tolerance for financial stress before intervention.

    • “Fed put” effectively lower.

  • Transmission mechanism you can cite:

    • faster QT → reserves drain → tighter collateral conditions → scarcer dollar funding → higher risk of funding-driven stress events.

  • Noise: “Warsh = instant tight money / instant easy money.”

  • News: “The real risk channel is liquidity plumbing—where the Fed put sits and how quickly balance-sheet policy tightens conditions.”

A Stock I’m Watching

Today’s stock is Astera Labs (ALAB)……

Astera Labs (ALAB) is a clean “AI picks & shovels” connectivity beneficiary: Stifel is looking for a Dec-quarter beat versus its ~$249M revenue / $0.51 non‑GAAP EPS view, driven by strength in Aries PCIe retimers, Scorpio P‑Series scale‑out switches, and Taurus Ethernet modules, and thinks ALAB can guide the March quarter higher than its ~$256.5M / $0.52 view as Scorpio X‑Series (scale‑up) begins ramping through 2026—keeping ALAB positioned as a “core beneficiary” of hyperscaler capex into 2026 (and underwriting that with a $200 TP on a premium ~30.7x CY26E EV/Sales multiple).

The bull case is straightforward: as AI racks get denser, the bottleneck shifts toward high‑speed interconnect / fabric and memory attach, which can drive rising “content” opportunity per rack for ALAB; the bear case is equally straightforward: this is a premium‑multiple, hyperscaler‑exposed story, so any capex digestion, qualification/timing slip in Scorpio X, or competitive pressure can hit both fundamentals and the multiple quickly—so it’s a “right theme, entry + sizing matter” setup.

Our next webinar…..

Fri, Feb 20, 2PM EST

Disclosure Day: A Playbook For Investors If The Government Confirms It Has Alien Technology

How to position your portfolio before Washington admits it has non‑human technology, and where the first trillion dollars of “alien alpha” could flow.

Click HERE to sign up

You’re not crazy if you believe in UFOs or UAP (unidentified anomalous phenomena). 

In fact, you want to be ready for the day when we’re told, for real, that we’re not alone.

You won’t read about it in the Wall Street Journal or hear about it on CNBC — yet. 

But “Disclosure Day” is coming. 

And the reality of UAP could trigger a shift in global markets that — no hyperbole — makes the Internet boom and the AI explosion seem tiny.

Matt Tuttle, CEO of Tuttle Capital Management ($4 billion AUM), is an ETF rebel who’s spent decades trading big, unexpected market moves.

He created his H.E.A.T. investing framework—Hedges, Edges, Asymmetry, Themes—to turn left-field events into high-conviction opportunities.

Now, he's deploying that exact playbook on the one catalyst almost no one's positioned for...

In a free live “Disclosure Day” briefing, Matt will explain:

 Why this isn’t about tinfoil hats. A move from rumor to reality could shift seismic capital across defense, energy, materials, and data – with clear winners and losers.

 The “Disclosure Debris:” How small hints can move big money before any big speech from Washington. And why hearings, leaks, and half‑answers already matter more than one big moment if you want a shot at alien alpha.

 Early matters – even if you might feel a bit crazy: A simple way to look at UFO news that lets you stay sane, stay skeptical, and still be in position if this really is the next trillion‑dollar theme.

 Who could win, who could lose, and when it’s too late: Which sectors of defense, energy, and materials might see money rush in first, and how to think about bet size before everyone on TV is yelling about UFO trades.

The one belief shift that could change how you see every headline about UFOs and tech: The real question isn’t “is this true?” but “what if enough other investors decide it is?

A 30‑day playbook for the month after confirmation: A practical way to think about reallocating, hedging, and positioning if Washington ever admits more than it already has – without abandoning your own risk limits.

PLUS . . .  you’ll get a free copy of Matt’s Why The UAP Thematic Frontier May Be Closer – And Far Larger – Than You Might Think briefing.

In Case You Missed It

Perfect time to sit down with George Noble as he nailed this selloff in AI and crypto…..

If you want to hear more from George information about his Best Stock Ideas Online Summit is here…..

The H.E.A.T. (Hedge, Edge, Asymmetry and Theme) Formula is designed to empower investors to spot opportunities, think independently, make smarter (often contrarian) moves, and build real wealth.

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