INTELLIGENCE/BUILDOUT The Physical AI Investment Letter
BC Ben Climer
The Founding Price

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Twelve months of The Intelligence Buildout — the monthly letter, the maintained portfolio, the evidence file and all four field guides. Everything opens the moment you join.

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Everything That Opens
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12-Month Founding Membership FOUNDING RATE
The Monthly Letter A new 18-to-24-page issue every month: what changed across the 6 rails, where new money belongs, and what to do with every holding.
$199–499/yr
The Complete Buildout Core The maintained model portfolio. 8 to 12 positions across the rails, each with status, target weight, entry posture, and exit trigger.
$299/yr
The Money Trail The evidence file. Every capex commitment, contract, order book, and backlog traced to a dated primary source.
$99/yr
Core Risk Updates If price or evidence breaks a thesis on any position, you get an update immediately — not three weeks later.
$149/yr
The Monthly Brief The new-money decision, the biggest change, and the most important risk — condensed into a 3-minute email.
$49/yr
The Founding Research Library — 4 Field Guides The Buildout Field Guide · The Money Trail Method · Story vs. Price · The ETF Shortcut. Yours to keep.
$196
Total value at this industry's going rates $1,000+
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Renews at $129/yr unless canceled
$79

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30 DAYS

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Join today, read Issue 001, study the Core, download all 4 field guides and explore the research for a full 30 days. If the membership isn't right for you, simply contact Member Support within the refund period and we'll refund your initial payment.

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What happens after you join

01. Your receipt and member access instructions are sent to your email after payment is successfully processed.

02. Log in to the Physical AI member area and begin with the Opportunity Map and core research library.

03. Explore the watchlist, research dossiers and monthly intelligence updates at your own pace.

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Why Physical AI Matters

AI Is Moving Beyond Software and Into the Physical Economy

Physical AI connects intelligent software with the processors, sensors, machines and infrastructure required to understand and act in the real world.

01 / COMPUTE

Edge AI & Processing

Chips, memory, connectivity and software that allow machines to process information closer to where physical work happens.

02 / PERCEPTION

Vision & Sensors

Cameras, lidar, industrial sensors and perception systems that help machines interpret their surroundings.

03 / ACTION

Robotics & Autonomy

Industrial robots, autonomous platforms and control systems designed to perform tasks in physical environments.

04 / SCALE

Power & Infrastructure

Energy systems, factories, data centers and industrial infrastructure required to deploy Physical AI at scale.

What the Research Tracks

Capital Spending Factory investment, compute capacity and infrastructure commitments
Commercial Adoption Orders, deployments, contracts and recurring customer demand
Thesis Risk Valuation, competition, execution and evidence that may challenge the case

Three Bottlenecks That Can Shape the Physical AI Buildout

Compute Capacity

Physical AI systems require specialized processing, memory, networking and low-latency computing close to the machine.

Reliable Perception

Machines must sense accurately in changing environments, creating demand for better sensors, vision systems and data.

Power & Deployment

Scaling intelligent machines depends on available energy, industrial capacity, supply chains and installation economics.

Physical AI is an investment research theme, not a promise of performance. Individual companies may be volatile, speculative or unsuccessful.

Inside the Research

What a Physical AI Research File Examines

Each research file is built to help you understand the business, the evidence, the valuation questions and the risks before you make your own investment decision.

01

The Investment Thesis

What the company does, where it sits in the Physical AI value chain and what must go right for the thesis to work.

Business model · market position · strategic role
02

The Evidence File

Relevant orders, contracts, capital spending, customer demand and operating signals traced back to dated sources.

Primary sources · filings · earnings materials
03

The Valuation Questions

The assumptions already reflected in the share price, the expectations that appear demanding and the areas that require closer judgment.

Expectations · pricing risk · scenario analysis
04

The Risk Review

Competitive threats, execution risk, cyclicality, concentration, regulation and the developments that could weaken or invalidate the thesis.

Downside factors · thesis breaks · monitoring signals

Physical AI provides educational research, not personalized investment advice. No research file guarantees a specific outcome or future return.

Final Note

The Goal Is Not Certainty. It Is Better Research.

Physical AI is a complex investment theme. Some companies may benefit, others may disappoint, and the market can move against even a well-researched thesis.

The membership is built to help you understand the evidence, identify the risks and make your own decisions with a clearer process. It does not promise profits or remove investment risk.

Your first year is $79. You receive immediate digital access after successful payment, and the membership renews annually unless canceled before the next billing date.

The initial purchase is covered by the published refund policy. Review the full terms before ordering so you know exactly what is included, how renewal works and how to request a refund.

Educational research only · Investing involves risk · No guaranteed outcomes

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Opportunity map · company research · watchlist · risk framework · monthly intelligence updates

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Important disclosure: Physical AI is an educational research publication produced by EnergyMacro, a brand of Real Assets Group LLC. It is provided for informational and educational purposes only and does not constitute personalized investment, legal, tax or accounting advice. Physical AI is not a broker-dealer, registered investment adviser or portfolio-management service and does not execute trades or manage customer funds.

Investing involves risk, including the possible loss of principal. Companies and securities discussed may be volatile, speculative or unsuitable for some investors. Past performance does not guarantee future results. Any examples, scenarios, watchlists or research opinions are provided for educational purposes and may not reflect actual or achievable investment outcomes.

Information may become outdated and should be independently verified before any investment decision. Authors, contributors or affiliated parties may hold or trade securities discussed in the publication, subject to the applicable disclosure and editorial policies. Consult appropriately licensed professionals regarding your individual circumstances.