A scoring engine that analyzes how AI is reshaping the relative value of 28 stock market industries over 1 to 10 year horizons. We map 150+ cross-industry cascade effects, score each industry across 9 analytical dimensions, and run multiple scenarios — so you can see not just which industries are affected, but how they affect each other, and when.
No. All content is educational scenario analysis. Nothing on this site constitutes financial advice or investment recommendations. Our scores represent structured opinion models, not predictions of stock prices. Always consult a qualified financial advisor before making investment decisions.
The engine analyzes each industry through four intelligence layers:
Fundamentals — the structural AI disruption scores. Adoption velocity, revenue expansion, margin impact, and 150+ cross-industry cascade connections. This is what should happen based on technology and economics.
Market Reality — the gap between fundamentals and what the market currently believes. Institutional positioning, retail sentiment, how much of the AI thesis is already priced in. This is where money is made or lost in the 1–3 year window.
Systemic Forces — the forces that no single company or policy can resist. Technology adoption cycles, how fast the economy can adapt to automation, and the game-theory dynamics that make maximum AI adoption the inevitable strategy for every company and nation.
Wildcards — policy shifts, trade disruptions, regulatory changes, and unpredictable events that can temporarily override everything else.
Most investment tools analyze one or two of these layers. We integrate all four for every industry, at every time horizon.
Yes. Everything maps to one of the four layers. Tariffs and policy are Layer 4 (Wildcards). Stock buybacks and passive index flows are Layer 2 (Market Reality). Job displacement and the speed of economic adaptation are Layer 3 (Systemic Forces). Energy constraints feed Layer 1 (Fundamentals). If something affects how AI reshapes industry value, it has a place in the model.
For situations the baseline scores don't cover, the custom scenario analysis lets you describe any situation — a specific trade war escalation, a technology breakthrough, a regulatory change — and see how it ripples through all 28 industries with all four layers applied.
28 industries covering the full economy: cloud platforms, enterprise software, chip design, semiconductor foundries, big pharma, biotech, tech hardware, banks, insurance, diversified financials, energy, utilities, telecom, healthcare equipment, capital goods, transportation, automobiles, retailing, consumer discretionary, consumer durables, consumer services, food & beverage, food retail, household products, materials, real estate, media & entertainment, and commercial & professional services.
We track our own accuracy. We maintain a prediction database with 17 credibility-scored expert sources and score our engine's disagreements with Wall Street consensus each month. When we're wrong, we say so and recalibrate. The engine's confidence bands widen at longer time horizons because uncertainty compounds — a 1-year score is more precise than a 10-year score, and the model is transparent about that.
We also track how often major analysts and AI experts have been right. Some are accurate 95% of the time on certain topics. Others are right less than 20% of the time. We weight our inputs accordingly.
The engine's structural scores are updated through a monthly calibration cycle: regime assessment, behavioral data refresh, multi-source intelligence check, and prediction accuracy scoring. The cross-industry cascade effects are adjusted when real-world evidence warrants it. Custom scenario analyses use real-time data and the latest calibration automatically.
The baseline matrix shows pre-computed scores for all 28 industries across 5 time horizons and 3 scenarios. It's the structural foundation — what happens under standard conditions.
Custom scenario analysis lets you go deeper. Describe any situation — "What happens to energy stocks if tariffs hit 60% and a major data center build is announced?" — and the system applies all four intelligence layers, 150+ cross-effects, and our proprietary research to give you a specific, grounded analysis.
Members can run custom scenario analyses on any topic. For enterprise licensing, custom research, or white-label integration, reach out via the contact page or the enterprise access page.
AI Stock Market Impacts is created by Scott Covert. The engine draws on structured research from 430+ verified sources, 17 credibility-weighted expert channels, and a calibration process informed by institutional research, academic publications, and proprietary cross-industry modeling. More at scovert.com.