Dated piece. Written when our engine tracked 28 industries; the figures below are as of that date. In October 2026 the engine moved to 31 industries, aligned with the current GICS industry groups.
By Scott Covert · independent analyst & builder of the AI Stock Market Impacts engine · Ontario, Canada
Updated May 29, 2026
We ran all 28 industries through our AI Market Cascade engine and measured how much Trump administration policy actually moves vs. structural AI forces. The answer surprised us.
Our engine scores every industry on 8 analytical dimensions, including geopolitics and policy. For Trump-era analysis, we isolated one question: does this administration's policy overwhelm the structural forces already reshaping this industry, or is Washington just noise?
We call the metric "Policy Overwhelm" -- how much structural AI forces (Wall Street capital flows, consumer behavior shifts, technology adoption velocity) dominate over whatever happens at 1600 Pennsylvania Avenue. A score of 0.9 means the market barely notices the White House. A score of 0.2 means Trump IS the variable.
This does not mean 17 industries are "safe." They face enormous disruption from AI itself. It means the disruption is structural and technological, not political. The president changes. The AI transformation does not.
These industries have forces so large, so structural, and so deeply embedded in market dynamics that federal policy is a rounding error. The disruption they face comes from AI adoption, demographic shifts, and capital reallocation -- none of which require congressional approval.
Data center power demand dwarfs anything the White House does. State commissions control rates. AI adoption in grid management is already past the point of no return. The executive branch has almost zero leverage here.
State-level regulators, aging demographics, and climate-driven losses make federal policy irrelevant. AI claims automation is already past the inflection point. Insurers answer to actuarial tables, not the Oval Office.
NVIDIA sells everything it can make regardless of who is president. The generational shift to AI compute overwhelms export restrictions. Demand is so far ahead of supply that policy friction is absorbed without a flinch.
AI agents replacing human workflow is a corporate efficiency mandate, not a political one. Government contracts are a fraction of revenue. Every Fortune 500 CTO has the same directive regardless of which party controls Washington.
People must eat. Grocery demand is inelastic. Warehouse automation proceeds regardless of immigration policy. The supply chain optimization happening inside Walmart and Kroger is driven by margin pressure, not legislation.
The Fed controls interest rates, not the Oval Office. Remote work patterns and AI infrastructure demand (data centers, edge computing facilities) are structural forces reshaping commercial real estate from the inside out.
An "Overwhelm" score measures how much structural forces (AI adoption, capital flows, demographics) dominate over political forces. Higher = Washington matters less.
For these industries, the question is not "how does AI disrupt them?" It is "how does Trump's policy change the terms of that disruption?" Tariffs rewrite supply chains. Immigration policy determines labor availability. Agency appointments decide which regulations get enforced and which get gutted. This is where politics directly moves stock prices.
As of May 2026, the legal foundation has shifted. On February 20, 2026, the Supreme Court struck down the broad IEEPA "reciprocal" and fentanyl tariffs in a 6-3 ruling. Within days the administration replaced them under Section 122 of the Trade Act of 1974 -- a flat tariff on imports from nearly every country, raised toward the statute's 15% ceiling, but capped at 150 days and set to lapse around July 24, 2026 unless Congress acts. China's effective rate still runs near 25% once Section 301 duties stack on top, and product-specific Section 232 tariffs (25% on certain advanced semiconductors since January; up to 100% on patented pharmaceuticals phasing in from July 31) survive the ruling untouched. The mechanism changed; the pressure on the industries below did not.
Tariffs on Chinese components dictate supply chains, margins, and consumer pricing. Apple, Dell, and HP face a net negative effect of -0.7 in years 1-2 as they scramble to diversify manufacturing. Apple now assembles roughly a quarter of its iPhones in India and is racing to make that the main source for U.S.-bound units -- a direct response to the layered Section 122, Section 301, and Section 232 duties. Every percentage point of tariff still translates to margin compression or price hikes that suppress demand.
"Trump IS the story here." No amount of AI efficiency gains offsets a tariff stack that runs near 25% on the China-sourced portion of your bill of materials.
Universal tariffs function as a regressive consumption tax. Nike and Starbucks face a double hit: margin compression from import costs and Chinese consumer boycotts in response to trade war rhetoric. Discretionary spending is where tariff pain shows up first because consumers simply stop buying.
"The single greatest exogenous shock to global retail supply chains in modern history."
The administration plays tariff "whack-a-mole" across every manufacturing hub -- China, Vietnam, Bangladesh, Mexico. Companies cannot reshore apparel manufacturing in 3 years. The capital expenditure alone is prohibitive, and domestic labor costs make it noncompetitive. Apparel margins face sustained compression with no clear exit.
Export controls, CHIPS Act uncertainty, and a Section 232 tariff of 25% on certain advanced semiconductors (in effect since January 2026) make geopolitics the primary variable. TSMC, ASML, and Applied Materials are caught between US and Chinese strategic interests. One executive order or proclamation can reshape which companies can sell which chips to which countries. No other industry has this level of direct presidential influence over its competitive landscape.
Three industries share a variable that no financial model can quantify: the influence of one appointee at HHS and FDA.
Whether megacap pharma's lobbying apparatus can contain this before real structural damage occurs -- or whether we are watching the early stages of genuine regulatory disruption -- is unknowable. This is not a bull or bear call. It is a volatility call. These three industries carry risk that cannot be priced from historical data because there is no historical precedent for this appointment.
This is the finding most investors are missing. The direct tariff impact is modelable. The second-order effects -- how the rest of the world responds -- are where the real damage compounds.
Trump policy is one analytical layer. Our engine scores all 31 industries across 8 dimensions -- including AI adoption velocity, Wall Street capital flows, human psychology, and historical parallels. The full picture is more nuanced than any single political lens.
Or get the 31 Industry Reports for $37
I'm Scott Covert — an independently curious person and the person who built everything here, including the 28-industry cross-effect engine — the “AI Revolution Cascade Matrix”. I'm not a fund, a broker, or a newsletter reselling someone else's research. I built the systems that take my ideas and sources and turn them into opinion pieces with machine-verified reasoning and sources, all shown so you can argue with me (I am, after all, trying to predict the future of the stock market, through a series of continual deep research loops into everything affecting stocks).
My edge is pattern recognition across fields (an involuntary feature of ADHD), not a Wall Street pedigree. Everything here is directional synthesis meant to help you think, not financial advice. (If you're a publication or fund and want to license or collaborate, that lives over here.)