My 4 P’s AI Investment Framework

by | Sep 25, 2026

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Everyone’s been chasing AI headlines for a couple of years now, but most traders are still missing the infrastructure play unfolding beneath the surface.

Instead of trading apocalypse headlines, I’ve been using what I call the Four P’s framework…

Processors, Plumbing, Power and Permission.

Think of it as your map through the server farm jungle.

This isn’t a theoretical exercise. These are real investments in real infrastructure — with real risks and opportunities that many investors overlook.

The Hardware Layer: Processors and Plumbing

Let’s start with processors. Nvidia (NVDA) remains an obvious tollbooth, though its stock has recently been rolling sideways. Meanwhile, Advanced Micro Devices (AMD) and Arm Holdings (ARM) have shown strength. Broadcom (AVGO) may also have an opportunity to turn higher.

Cloud giants keep spending and building. As long as model developers demand more computing power, these chip companies are manning the AI boom’s cash registers.

But expectations are wearing a jetpack. China export rules, customer concentration and slower capital spending could turn an incredible quarter into a 12% overnight drop. Strong demand doesn’t eliminate valuation risk.

Then there’s plumbing. Data centers aren’t magic castles floating in the cloud. They occupy real land often near real people, and contain expensive computers that require cooling, power, switches, transformers and substantial industrial equipment.

Companies such as Vertiv (VRT) and Eaton (ETN) are research candidates if they can keep turning the data center buildout into bottom-line profits. If AI racks grow denser, the companies installing electrical and cooling systems could benefit. Still, orders can be lumpy and a backlog is not the same as revenue.

The Constraint Nobody Saw Coming: Power and Permission

AI’s favorite food is electricity. Every new chatbot, data center and cloud service creates physical demand for megawatts, grid connections and reliable energy.

Energy providers are potential candidates, but the political argument increasingly centers on who pays the power bill. Some proposed regulations would require AI data centers to cover the costs created by their increased electricity consumption rather than shifting those expenses to households and other businesses.

That gives the futuristic AI debate an old-fashioned constraint — affordable power.

Finally, there’s permission. This is where the AI victory lap meets zoning boards, cybersecurity teams, product liability lawyers and neighbors asking why a new facility is consuming so much local power.

The regulatory path may not require an entirely new rulebook. Existing cybersecurity and product liability laws could be applied before lawmakers create AI-specific regulations. Even so, cyber failures, autonomous agent incidents, export restrictions and community opposition could slow adoption.

The Four P’s aren’t just categories. They’re a checklist for separating real infrastructure plays from hype-driven nonsense. Use them wisely.

Jeffry Turnmire
Jeffry Turnmire Trading

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I’m just a regular dude in Knoxville, Tennessee: a husband, father, civil engineer, urban farmer, maker and trader.

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*This is for informational and educational purposes only. There is inherent risk in trading, so trade at your own risk.

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We develop tools and strategies to the best of our ability but no one can guarantee the future.There is always a risk of loss when trading, and past performance is not indicative of future results. From 10/9/25 – 9/18/26 on 210 live trades taken with real money, the win rate is 100%, 1.04% average return, with an average hold time of less than 2 hours.

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