The Return of the “Old Economy” — and What the Stock Price Already Knows
February 20, 2026
10 min read
The Return of the "Old Economy" — and What the Stock Price Already Knows
While everyone talks about AI and digital disruption, the market is sending the opposite signal: mines, pipelines, power grids, and energy are running at all-time highs. Our original analysis for The Market by NZZ — plus the extended investor's view for arvy readers.
The thesis on video — 1 minute
In 30 seconds — the core thesis
- The stock price is a discounting mechanism — it prices reality six to eighteen months in advance. When energy, commodities, and infrastructure are running at highs now, the market is saying something about 2027–2028.
- What many considered relics are gaining value again — mines, power grids, pipelines. These businesses can't be scaled with a keystroke. Permits, capital, and years of construction are entry barriers.
- Scarcity wins value when the cycle turns — what was long seen as a weakness (capital intensity, long build times) becomes a source of pricing power. That's the irony of the AI era: the physical world becomes the bottleneck again.
The original analysis — the forward-looking mechanism
The stock market is a forward-looking mechanism.
Depending on the visibility of the underlying business, it tends to price in conditions six to eighteen months in advance. Stock prices move long before the fundamentals become obvious. Only in retrospect does everything seem crystal clear.
That's why we always keep an eye on the stock price alongside the fundamentals. It's the only truly objective signal we get — an aggregate of thousands of opinions, expectations, fears, and forecasts, condensed into a single number. Imperfect, yes. But honest.
"It doesn't matter what a company is earning or has earned — you have to imagine the situation 18 months from now. That's where the price will be." — Stanley Druckenmiller
Recently we've seen decisive moves in areas that many market participants long ignored: commodity companies like copper and gold producers, energy stocks at new all-time highs, transportation companies breaking out after years of consolidation. What do they have in common? They are asset-heavy businesses — the kind of businesses that haven't been in demand for over a decade.
→ Read the full article on The Market by NZZ
Chart 1: Energy sector at new all-time high over 20 years
Source: TradingView
01The uncomfortable question behind the NZZ analysis
If the stock price discounts six to eighteen months ahead, then the important question isn't "why are energy, commodities, and infrastructure running now?" — but: what is the market seeing for 2027 and 2028 that many investors don't see yet? And exactly there lies the point that doesn't fit into an NZZ column, but is everything for your investment decision.
There are three possible readings of the current move — and each leads to a different consequence for your portfolio:
Reading 1 — Classic cyclical normalisation. Old-economy sectors were under-invested for over a decade; valuations are simply catching up to what they should structurally have earned. Moderate boost, then back to trend. If true, the rotation is real but time-limited — perhaps 18 to 24 months of outperformance, then mean reversion.
Reading 2 — Structural shift. The global economy is re-industrialising. Reshoring, energy transition, defence spending, data centres. This isn't a cycle but a new investment cycle — comparable to the 1950s through 1970s. If true, we're talking about a 10–15-year trend, not a short rotation.
Reading 3 — The AI resource thesis. Artificial intelligence needs physical infrastructure on a scale nobody expected. Electricity, copper, semiconductor inputs, data-centre cooling, fibre optics. If true, the rotation isn't an old-fashioned comeback but a consequence of digitalisation — and the two worlds are structurally coupled through their inputs.
Why the distinction matters
Most investors see "energy at all-time high" and react binary — they buy or ignore. The disciplined investor asks the second question: which of these three readings is dominant? Because investment duration, sector weighting, and single-stock selection depend decisively on this answer. A cyclical rotation is bought differently than a 10-year structural shift.
02Three structural drivers that could be different this time
Our view: all three readings have substance — but readings 2 and 3 are stronger than most investors want to believe. Here are the three structural drivers that could turn old economy this time from a temporary bounce into a multi-year investment cycle:
Driver 1 — A 15-year capex diet has created bottlenecks
Since the bottom of the global financial crisis in March 2009, the market rewarded asset-light business models. Software, platforms, asset-light. The result: in mining, energy, and grid infrastructure, there has been structural under-investment for over a decade. Copper mines that should be in production today were never permitted. Power grids that should be sized for the coming load weren't expanded. This investment gap is real — and it cannot be closed within two years, even if everyone wanted to tomorrow.
Driver 2 — Permitting time as an unbeatable entry barrier
The decisive point: even with unlimited capital, a new copper mine cannot be built in 18 months. Realistically that's 7–15 years from initial idea to production — permits, environmental reviews, infrastructure, construction. A new high-voltage transmission line takes 8–12 years in many developed countries. This time component is a fundamental entry barrier that seems unimaginable in an AI world — and exactly that makes existing assets valuable. What you can't replace in two years has structurally higher pricing power.
Driver 3 — AI is a physical resource consumer
The irony of the current market phase: of all things, the AI revolution — considered the ultimate asset-light story — is driving the asset-heavy renaissance. A single large data centre uses the electricity of a mid-sized city. Estimates for global electricity demand from AI infrastructure by 2030 range from doubled to quadrupled today's level. That sets a chain in motion: more electricity needs more copper (for cables and transformers), more natural gas and nuclear (as base load), more rare earths, more steel, more concrete. Software growth translates directly into hardware demand.
The multiplicative logic
These three drivers don't act side by side — they reinforce each other. Capex diet × permitting friction × AI demand shock produces a supply-demand bottleneck that can last several years. That's why the market is already discounting prices not yet visible in quarterly figures. Druckenmiller was right: you have to imagine the situation 18 months from now. That's where the price will be.
03What this means for your quality portfolio
Here it gets interesting — and honestly difficult. Quality investing has historically had a tough relationship with old-economy sectors. Mining and energy are classic "price takers" — they have little pricing power over commodity prices, their margins are cyclical, their capital returns swing wildly. Exactly the opposite of what a quality investor seeks.
But: not every asset-heavy business is the same. Within the old economy there are sub-categories that are very compatible with classical quality criteria:
- Lowest-cost producers in commodities — whoever has the cheapest natural gas, cheapest copper, or cheapest electricity in a region has a structural moat that lasts decades
- Irreplaceable infrastructure — pipelines, power grids, ports, rail. Quasi-monopolies with regulated but stable returns
- Specialists with reserve advantages — mining companies with long-term, high-quality deposits and low extraction costs
- Equipment and engineering champions — the companies selling the shovels in a gold rush. Often asset-light businesses themselves with old-economy end markets
The decisive difference between quality in software and quality in old economy is the source of the moat: in software it's scale advantage and switching costs. In old economy it's replacement cost — the next mine, the next power plant, the next pipeline costs many times more to build. Scarcity as a moat. This logic was very well understood by classical investors like John Templeton or Sam Zell. It's coming back.
Concrete implications for investors, depending on form of engagement:
| Form of engagement | Structural old-economy exposure | What to review |
|---|---|---|
| Broadly diversified world ETF (e.g. MSCI World) | Low — typically <10% energy, <5% materials | Are you structurally under-invested in a regime change? |
| Tech-focused strategies | Practically zero old economy | High concentration on what runs furthest from the trend |
| Active quality strategies | Variable — selective, with clear moat criteria | How does the manager view the rotation? Has the portfolio reacted? |
| Sector-thematic funds (energy/materials) | Very high — simultaneously cyclically risky | Concentration risk in a single bet |
How arvy is positioned in exactly this market phase — and how our sector allocation has shifted since the start of the year — is documented transparently in the current arvy Strategies Quarterly Report Q1 2026. The other side of the same coin, the software sector, is covered in our software companion piece.
04Three scenarios for the next 18 months
Nobody can time the market — not us either. But we can lay out the three most plausible paths and honestly assess each one's implications:
Bull Case
Multi-year investment cycle, old economy outperforms structurally
AI infrastructure demand develops as forecast or stronger, the capex bottleneck lasts at least 5–7 years, ESG-driven cost-of-capital premiums in fossil sectors stay high. Old economy outperforms structurally — not a cyclical rotation, but the second half of an investment cycle that has already begun. Energy infrastructure, lowest-cost producers, and equipment champions deliver the outperformance of the next decade.
Base Case
Sector rotation runs 18–24 months, then differentiation
The initial outperformance continues at first, but the market starts differentiating more aggressively — within old economy, companies with real structural advantages win, while broad sector plays lose momentum after the first 18 months. Quality selection within the rotation becomes more important than blanket sector exposure. Our base case.
Bear Case
AI capex normalises, traditional sectors deflate again
AI infrastructure demand turns out to be overestimated, an investment cycle normalises faster than expected. Energy and materials sectors give back part of the gains, asset-light models return. In this scenario, investors who entered the rotation late and concentrated are hit hardest.
How arvy navigated the three previous stress tests — COVID 2020, rate shock 2022, and tech corrections 2023/2025 — and why quality typically comes through full market cycles better, is covered in our pillar "Investing in Turbulent Times".
05What you should review now
An honest self-assessment takes 30 minutes and is the most valuable step an investor can take in a regime change. Four concrete checks:
1. Inventory — where do you stand today? Look at how much of your portfolio is engaged in energy, materials, industrials, and infrastructure. With an MSCI World ETF, typically under 15% combined. With a pure tech portfolio, near zero. With an old Swiss bank portfolio of Roche, Nestlé, Novartis, also low in this category. You can't decide what you don't know.
2. Concentration check — are you positioned against the rotation? If your portfolio is structurally concentrated in "asset-light" and "quality tech" (which has been rewarded for the last 10 years), you may now be on the wrong side of a regime change. That's not necessarily a problem — but it's worth being a conscious decision, not just the result of old allocation.
3. Mechanism check — do you understand why it's running? If you hold or want to buy energy or commodity stocks, can you explain in two sentences whether you're betting on cyclical normalisation, structural shift, or the AI resource thesis? Anyone who can't articulate this clearly should answer this question first before making more purchases.
4. Horizon check — how much time do you have? Old-economy investments are volatile. If your investment horizon is 10+ years, you can sit out drawdowns and benefit from the structural trend. If your horizon is 2–3 years, the position is risky — because the bear case (AI capex normalisation) hits these sectors hardest.
What disciplined investors do now
They don't panic-sell all tech positions to rotate into commodities — that would be strategy hopping at its worst. They look at their allocation honestly, check whether they're structurally under-invested in a 5–10-year trend, and adjust gradually. A 5% allocation in quality old-economy champions is a different statement than a 30% blind sector tilt. History rewards investors who are early and stay disciplined — not those who jump into a hot trend at the high.
06Frequently asked questions
Does this mean arvy is actively buying old-economy stocks now?
The exact sector and single-stock allocations are communicated transparently every quarter in our quarterly reports. Generically: we evaluate old-economy companies with the same quality lens as all other investments — cash returns on capital employed, moat stability, valuation discipline. Within the old economy there are companies that meet these criteria and ones that don't. The concrete shifts in our allocation since the start of the year are documented in detail in the Q1 2026 Quarterly Report.
What about ESG concerns with mining and energy?
A legitimate point with real economic relevance, not just ethical. ESG-driven cost-of-capital premiums mean many institutional investors structurally underweight fossil and mining stocks. That's a major reason why the capex diet of the last decade has been so deep — and why today's scarcity is so acute. From an investor's perspective: ESG dynamics are real, but they create exactly the supply scarcity that generates pricing power today. Personal values are something every investor should clarify; the market mechanics are separate from that.
Won't the AI capex wave eventually normalise and crash everything again?
That's exactly the bear case from Section 04 — and it's real, not hypothetical. If AI infrastructure investments normalise faster than expected, today's most popular old-economy plays lose significantly. The important differentiation: short-term demand shocks hit all sector plays, but structural advantages (low extraction costs, irreplaceable infrastructure, regulated returns) persist. Whoever buys broadly into the sector is fully exposed to AI volatility. Whoever invests selectively in real quality businesses within old economy, less so.
How do I distinguish a real structural rotation from a temporary bounce?
Three signals we watch: (1) Breadth — if the rotation affects many sub-sectors (energy, mining, industrials, infrastructure, utilities), it's more likely structural. (2) Duration — if the outperformance carries 12+ months and survives consolidation phases without flipping, that points to structural drivers. (3) Capital flows — institutional allocations shift slowly, but when they do, that's a long-lived signal. Currently we see all three signals — which doesn't mean the rotation can't pause right now.
Further reading — the thematic anchors of this analysis
The Tortoise Problem
Quality investing logic in a rotation
arvy Quarterly Report Q1 2026
Current sector allocation transparently documented
Software — The Other Side of the Rotation
Companion analysis on the asset-light sector
Investing with arvy: The Complete Guide
How this analysis fits the overall strategy
Investing in Turbulent Times
Quality across full market cycles
Why arvy
The full strategy and positioning explanation
What the stock price already knows
The market discounts the future, not the present. When energy, commodity, and infrastructure stocks are running at all-time highs now, that's not a statement about the here and now — it's a statement about 2027 and 2028, made by thousands of investors who together know more than any single market participant. Druckenmiller was right: you have to imagine the situation 18 months from now.
The honest task for every disciplined investor is not to buy old economy because it's running now — but to understand whether the drivers running it are cyclical or structural. Both answers are legitimate. But they lead to very different portfolios, very different time horizons, and very different expectations for the next ten years. Anyone who can't answer that question doesn't have a strategy — they have a reaction.
Original written by Thierry Borgeat, Co-Founder of arvy, for The Market by NZZ. The extended arvy companion piece reviewed by Patrick Rissi, CFA and Florian Jauch, CFA. Data sources: TradingView, own analyses. Druckenmiller quote from public interviews. Last updated: April 2026.
Disclaimer: This article is for general educational purposes and does not constitute personal investment advice. The sector and security designations mentioned are illustrative and not buy or sell recommendations. Past performance is no guarantee of future results. Scenarios are assessments, not forecasts. arvy is a FINMA-supervised asset manager with a CISA licence (Art. 24). Imprint & Legal Notice.
