The shift in four numbers
The decade of weightlessness — and how it ended
From the aftermath of the 2008 financial crisis through the early 2020s, global equity markets operated under a single governing logic: the companies that require the least capital to generate the most revenue are the most valuable. Zero interest rates compressed the opportunity cost of waiting for future profits. Abundant liquidity sought out the most scalable models. Digital platforms, software subscriptions, and information businesses — none of which needed factories, equipment, or physical networks to scale — absorbed the bulk of the resulting multiple expansion.
By the early 2020s, European Growth stocks traded at more than double the valuation of their Value counterparts — a 150% premium that reflected a market that had come to view physical-asset businesses as structural relics. Grid operators, pipeline networks, heavy industrials, and basic material producers were treated as value traps: businesses with tangible assets but no compelling growth story in a world where software was eating everything.
The post-financial-crisis decade built an equity regime on weightlessness. That regime is reversing. Higher real rates, geopolitical fragmentation, and the AI revolution's voracious appetite for physical infrastructure have collectively repriced the market's understanding of what constitutes durable competitive advantage.
The equilibrium broke decisively with the post-COVID inflation shock. Supply-chain disruptions, the energy crisis following Russia's invasion of Ukraine, and a structural rethink of the globalisation model pushed the cost of capital sharply higher and made economic resilience visible as a value driver again. Energy infrastructure, manufacturing capacity, and national industrial capability were no longer taken for granted — they were revealed as scarce and strategic, and increasingly priced as such.
The key insight from the convergence data is that this has not been a story of Asset-Light collapsing — with the exception of specific pockets of software and digital economy companies directly threatened by AI disruption. It has been a story of Asset-Heavy businesses re-rating upward to meet their lighter peers. Physical capital is not merely recovering; it is being reappraised at a fundamental level.
The inflation shock did not simply raise rates — it revealed that the assets markets had treated as obstacles to growth were, in fact, foundations without which no economy can function. You cannot virtualise a power grid.
Artificial intelligence: eroding some moats, deepening others
The AI revolution is not exerting a uniform directional pressure on equity markets. It is creating two simultaneous dynamics that operate in opposite directions — and both of them, paradoxically, favour the physical economy over the digital one.
Software vendors, IT services firms, media publishers, gaming platforms, logistics software companies, and professional services businesses are all discovering that AI reduces the cost of producing what they have historically charged premium prices for. When a model can draft code, summarise contracts, generate content, or route logistics at a fraction of the cost of human specialists, the rationale for paying high margins to incumbents weakens. The de-rating in Software and IT Services reflects not an earnings crisis today but a fundamental repricing of terminal-horizon earnings — as elevated margins face structural pressure from AI-native entrants.
The five largest US technology platforms have collectively embarked on the most concentrated and fastest capital spending cycle in the history of organised industry. Since the public emergence of generative AI in late 2022, these companies are set to deploy approximately $1.5 trillion in capital between 2023 and 2026 — roughly 2.5× the total they invested across their entire prior operating history. Their combined capex in 2026 alone is forecast to exceed $650bn — more than all the physical capital they accumulated from founding through 2022.
Both pressures flow in the same direction for physical-asset investors. The companies whose margins AI is eroding are the Asset-Light incumbents. The capital that AI is mobilising at unprecedented scale flows directly into physical infrastructure — chips manufactured in expensive plants, data centres built from steel and concrete, power systems that require regulated approvals and decade-long construction timelines. The AI revolution's greatest gift to the physical economy may be its own insatiable appetite for it.
MASS: a framework for identifying durable physical capital
After more than a decade of under-investment — particularly pronounced in Europe, where the capex-to-sales ratio languished at multi-year lows — corporates and governments are now shifting decisively back toward physical assets. The MASS framework is the firm's lens for identifying which businesses are positioned to benefit most durably from this reversal.
An important and often misunderstood element of the MASS framework is that it cuts across conventional sector classifications. Within Industrials — frequently treated as a single block — long-cycle heavy equipment manufacturers are genuine MASS businesses while staffing agencies and business process outsourcers are not, despite sharing a sector label. Within Consumer, automotive manufacturers and airline operators are clearly asset-heavy, while gaming companies and online retailers are not.
A subtler case is Luxury Goods. These businesses carry no conventional physical infrastructure — no pipelines or power stations. Yet they share the structural scarcity characteristic via a distinct mechanism: generational investment in brand equity, specialist production know-how, and heritage craftsmanship that creates an asset as difficult to replicate as any regulated network — and equally resistant to technological disruption. A competitor cannot train a large language model to replicate a century of watchmaking or winemaking expertise. This is structural scarcity of a different kind — cultural and temporal rather than regulatory — but no less real in its economic effects.
The Physical Intensity Score: six measures of material capital
To move the MASS framework from conceptual to operational, the firm constructs a Physical Intensity Score that combines six distinct financial metrics into a single composite ranking. Each company receives a percentile rank averaged across all six metrics relative to the index universe — a 0–100% scale that cleanly identifies where any business sits on the spectrum from pure digital economy to pure physical economy.
| # | Metric | Formula | What it captures |
|---|---|---|---|
| 01 | Tangible Asset Intensity | (Assets − Cash − Intangibles) ÷ Revenue | Net physical capital deployed per unit of revenue. High = dependence on material assets; low = scalable operations AI can replicate. |
| 02 | Fixed Asset Intensity | PPE ÷ Revenue | Property, Plant & Equipment required to support current revenue. High = infrastructure-heavy; low = scales without proportional capex. |
| 03 | Fixed Asset Proportion | PPE ÷ Total Assets | Share of balance sheet committed to long-term physical assets. High = structurally asset-anchored; low = light, vulnerable to digital disruption. |
| 04 | Capital-Labour Intensity | Tangible Assets ÷ Employees | Tangible assets per employee. High = machine-centric; low = labour-intensive, where AI substitution is most immediate. |
| 05 | Reinvestment Intensity | Capex ÷ Revenue | Proportion of revenue reinvested annually to maintain or expand capacity. High = asset-maintenance-heavy; low = scalable but exposed to AI commodification. |
| 06 | Capital Consumption Rate | Capex ÷ EBITDA | Share of operating earnings consumed by capex. High = cash flows absorbed by asset upkeep; low = strong cash conversion but lighter asset barriers. |
| Sector / group | Intensity percentile | MASS classification | Key rationale |
|---|---|---|---|
| Tier 1 MASS — unambiguously asset-heavy | |||
| Regulated Utilities | ~90–95th | Core MASS | Regulated infrastructure; asset lives 25–50 years; grid investment cycle structurally elevated by electrification and AI power demand. |
| Telecoms Networks | ~80–90th | Core MASS | Fibre, spectrum, towers; network density creates near-impenetrable competitive moats. |
| Basic Resources / Energy | ~78–88th | Core MASS | Extraction assets, refineries, reserves; geopolitical scarcity premium; cannot be digitally replicated. |
| Transport Infrastructure | ~70–82nd | Core MASS | Airports, ports, rail, fleets; constrained physical slots; regulatory barriers. |
| Tier 2 MASS — conditional or partial classification | |||
| Long-Cycle Industrials | ~60–76th | Conditional MASS | Heavy equipment, turbines, defence systems; aftermarket service-revenue bundling adds complexity. |
| Luxury / Heritage Consumer | ~55–70th | MASS via Scarcity | Structural scarcity through generational brand equity and irreproducible production know-how. |
| Speciality Chemicals | ~50–65th | Moderate MASS | Plant-intensive; feedstock complexity; IP embedded in process know-how. |
| Asset-Light — AI exposure concentrated here | |||
| Software / IT Services | ~10–22nd | Asset-Light | Human and digital capital dominant; margin durability most exposed to AI commodification. |
| Digital Economy / Media | ~5–15th | Asset-Light | Platform economics; near-zero marginal reproduction cost; highest direct AI substitution risk near term. |
| Business Services / Staffing | ~8–20th | Asset-Light | Labour and process intensive; the human-capital category most directly in the path of AI task automation over 3–5 years. |
Four structural forces behind the asset-heavy rotation
The outperformance of Asset-Heavy relative to Asset-Light equities reflects several reinforcing structural mechanisms. Each operates across different time horizons and through different economic channels — and their interaction makes the rotation more durable than any single factor would suggest.
A new physical-capital supercycle
Fiscal expansion, geopolitical re-regionalisation, supply-chain repatriation, the energy transition, and the AI-driven surge in data-centre and power infrastructure investment are collectively driving a capex supercycle not seen since postwar reconstruction. Manufacturing PMI Future Business Expectations have turned positive relative to Services — historically a six-month leading indicator of Asset-Heavy outperformance.
The interest-rate environment
Asset-Heavy equities outperform when real rates are elevated. Higher rates compress the present value of long-duration earnings — precisely the profile of Asset-Light growth businesses. Physical capacity businesses simultaneously benefit from stronger nominal activity, fiscal investment flows, and pricing power tied to replacement-cost inflation.
The Value–Growth rotation
The Asset-Heavy / Asset-Light dynamic closely mirrors the Value / Growth factor rotation — and the current cycle has been distinguished by Value outperforming rather than Growth collapsing. Energy, materials, and regulated utilities have rerated as investors rediscover the scarcity value of productive physical assets. The directional shift is consistent with structural leadership change rather than tactical rotation.
Positioning undershoot provides fuel
The most underappreciated dimension is how much further the rotation has to run structurally. Cumulative institutional fund flows into European Value vs. Growth strategies remain around −40% of AuM — meaning investors are still dramatically under-allocated to the physical-economy trade despite its 35% outperformance. The technical fuel for continued Asset-Heavy outperformance remains substantial, independent of any incremental fundamental catalyst.
When fiscal policy targets infrastructure, when manufacturing outpaces services, when real rates remain elevated, and when institutional positioning remains at decade-low allocations to the physical economy — all four conditions hold simultaneously today — the structural case for Asset-Heavy equities is as strong as it has been in any period since the 1970s.
Fund flows, positioning, and the structural gap that remains
Despite the sharp near-term performance of Asset-Heavy equities, the longer-term positioning data reveals how early-stage this rotation remains. A decade of momentum-driven allocation toward Asset-Light strategies has left institutions structurally under-positioned in physical capital — and unwinding that positioning takes considerably longer than the momentum that created it.
+3% AuM net inflows into Value-oriented European equity strategies — the first sustained period of positive flow into this category in more than a decade of Asset-Light dominance.
−9% AuM net outflows from Growth-oriented strategies — likely understated, as many Blend mandates have also tilted toward Value exposure without formally reclassifying.
−40% AuM — investors remain deeply structurally under-allocated despite the 35% relative outperformance. Mean reversion of fund positioning toward physical capital has barely begun.
| Dimension | Asset-Heavy (MASS) | Asset-Light | Current edge |
|---|---|---|---|
| Relative price performance since Jan 2025 | +35% outperformance | Lagging | Asset-Heavy |
| Forward P/E relative valuation | Now broadly in line | Now broadly in line | Neutral — fully converged |
| EPS growth forecast (2y CAGR) | ~14% | ~10% | Asset-Heavy |
| ROE trajectory (consensus) | Improving | Flat | Asset-Heavy |
| Near-term earnings revisions | Negative (tariff drag) | Mixed | Asset-Light near-term |
| 12-month fund flows (Value vs. Growth) | +3% inflows | −9% outflows | Asset-Heavy |
| Cumulative positioning gap | −40% (under-allocated) | Over-allocated | Structural room for Asset-Heavy |
| European capex-to-sales ratio | 10-year high | Stable | Asset-Heavy cycle tailwind |
Earnings trajectory and the durability of the premium
The most important test of whether the Asset-Heavy rotation is durable is whether it is grounded in improving fundamentals or whether it simply reflects a one-time multiple re-rating. The earnings picture is increasingly constructive — with one important near-term caveat.
Near-term earnings revisions for Asset-Heavy companies were materially negative following the imposition of broad trade tariffs — physical economy sectors tend to be more cyclically sensitive, more export-oriented, and more directly exposed to cross-border tariff measures than service businesses, which are rarely taxed at the border. This tariff drag produced short-term downward EPS revisions that are important to understand as a cyclical distortion rather than a fundamental reversal.
Strip away the tariff noise, and the medium-term earnings trajectory for Asset-Heavy businesses looks considerably more constructive. Consensus now projects Asset-Heavy companies delivering approximately 14% EPS CAGR over the next two to three years, against roughly 10% for Asset-Light — a divergence that, if realised, provides fundamental support for sustained multiple re-rating.
| Year | Asset-Heavy (MASS) | Asset-Light | Spread |
|---|---|---|---|
| 2024 | −6% | −7% | Both negative |
| 2025E | +13% | +10% | +3 pp Asset-Heavy |
| 2026E | +14% | +5% | +9 pp Asset-Heavy |
| 2027E | +14% | +11% | +3 pp Asset-Heavy |
The ROE gap between Asset-Light and Asset-Heavy remains substantial in absolute terms — digital economy businesses have historically earned superior returns on equity by leveraging the scalability inherent in software and platform economics. But the structural forces now operating are raising genuine questions about whether those elevated returns reflect sustainable competitive advantage or temporary pricing power that AI and new entrants are steadily eroding. Consensus projections now expect flat Asset-Light ROE against improving Asset-Heavy ROE — a trajectory reversal that, if confirmed, would validate the revaluation of physical capital as a structural rather than cyclical phenomenon.
What cannot be copied cannot be disrupted
The equity regime of the 2010s rested on a single enduring premise: the most scalable businesses are the most valuable, because scale without incremental capital is the purest form of competitive advantage. That premise produced extraordinary returns for investors in software, platforms, and information businesses — and it was not wrong. It was accurate for the environment in which it operated.
But environments change. Higher real interest rates have compressed the present value of distant earnings. Geopolitical fragmentation has made physical production capacity — the ability to make things, move things, and power things within secure borders — a strategic asset that policymakers and corporations now explicitly price for. And artificial intelligence, the technology that most threatened to extend Asset-Light dominance indefinitely, has turned out to require a physical infrastructure so vast and so capital-intensive that it has converted the exemplars of weightless capitalism into the heaviest industrial spenders in history.
The MASS framework — Material Assets, Structural Scarcity — captures the businesses positioned to benefit from this transition. They are not glamorous. They do not generate headlines. They do not announce quarterly product launches or benefit from viral adoption curves. What they do, instead, is own the infrastructure that no algorithm can replicate: the power grids, the pipelines, the regulated networks, the long-cycle industrial capacity, and the brand heritage that took decades or centuries to accumulate.
Markets have begun to recognise this. A 35% relative outperformance since early 2025 is real — but with institutional allocations still at −40% of AuM relative to historical positioning, and with the fundamental earnings and return trajectory now inflecting in favour of physical capital, the repricing appears to have considerably further to run.
Gravity always reasserts itself. The assets that markets spent a decade treating as obstacles — heavy, slow, capital-consuming — turn out, in a fragmented world of scarce physical resources and insatiable AI infrastructure demand, to be precisely the assets that matter most.
This report has been prepared by Lualdi Advisors for informational and educational purposes only. The MASS framework (Material Assets, Structural Scarcity) and Physical Intensity Score are proprietary Lualdi Advisors analytical constructs. All quantitative data cited draws on publicly available market information, published equity research, and consensus estimate services; it is presented for illustrative analytical discussion only and does not constitute a forecast, rating, or investment projection. References to basket performance and sector classifications are indicative and approximate. This material does not constitute investment, legal, tax, or financial advice and should not be used as the basis for any investment decision. Past performance is not indicative of future results. Lualdi Advisors makes no representation regarding the accuracy or completeness of any third-party data referenced herein.
