U.S. High Tech, European Luxury, and China’s EVs

Abstract

This research note compares three sectoral archetypes—U.S. high technology, European luxury goods, and China’s electric-vehicle industry—to show how different institutional systems convert technological vintages into income, labor allocation, risk-bearing, and inequality. The note’s central contribution is a three-part inequality typology. U.S. high tech creates new inequality through frontier rents, equity upside, scarce technical talent, and concentrated control of intangible assets. European luxury monetizes existing inequality by converting heritage, scarcity, craft, and cultural authority into status consumption. China’s EV industry reorganizes opportunity through industrial scaling, supply-chain mobilization, regional production-system transition, and skill reallocation.

The comparison is interpretive rather than econometric. The cases are selected as archetypes of frontier invention, mature-prestige value, and scaled industrial transition, not as representative summaries of entire economies. The guiding puzzle is not simply why these sectors are successful. It is why these particular forms of success emerged where they did. Technologies may travel globally, but industries take local form. The institutional arrangements of each society shape how a technological vintage becomes a production system, a labor market, a risk contract, and an inequality pattern.

The argument is deliberately asymmetric. China’s EV industry provides the strongest evidence for institutional realization because the same broad technology was available to all major regions, but China scaled the full production ecosystem most rapidly. U.S. high tech is a strong but more confounded case of frontier-invention institutions. European luxury is best read as an illustrative archetype of mature-prestige value rather than as evidence that Europe lacks frontier sectors. Together, the cases show that technologies do not generate distributional outcomes on their own. Institutions determine how societies allocate talent, labor, capital, legitimacy, and risk around each vintage—and therefore what kind of inequality, opportunity, and political backlash follows.

1. Introduction: Technologies Travel, Industries Take Local Form

The leading sectors of major economies reveal more than industrial specialization. They reveal institutional character. The United States is associated with frontier high technology: software, cloud computing, semiconductors, digital platforms, venture capital, and artificial intelligence. Europe is globally visible in luxury goods: fashion houses, leather goods, watches, wine, perfume, jewelry, and heritage brands. China has become the central case of electric-vehicle scale-up: batteries, supply chains, software-integrated vehicles, charging infrastructure, and fierce domestic competition.

These sectors are not chosen because they summarize entire economies. They are chosen because each makes visible a distinct institutional pathway through technological vintage change. U.S. high tech illustrates how a society allocates talent and capital toward frontier uncertainty. European luxury illustrates how a mature production system can survive by converting age into authority. China’s EV industry illustrates how a new industrial vintage can be scaled through manufacturing depth, state support, domestic competition, and rapid product iteration.

The deeper question is why these forms emerged where they did. High technology, luxury consumption, and electric vehicles are all global phenomena. Yet their most visible institutional realizations differ sharply. The United States is especially effective at converting frontier uncertainty into privately captured upside. Europe is especially effective at converting inherited cultural capital into symbolic and status value. China is especially effective at converting strategic technologies into scaled production systems.

The note’s central proposition is therefore simple: a technology becomes economically consequential only when an institutional system allocates talent, labor, capital, legitimacy, and risk around it. Technologies may travel globally, but industries take local form. The institutional arrangements of each society shape how a technological vintage becomes a production system, a labor market, a risk contract, and an inequality pattern.

This is not a claim that institutions mechanically determine outcomes. That would risk circularity: one could infer institutional “fit” from the very industry one is trying to explain. The argument is more modest. Each case is used to reveal a mechanism, and the mechanisms vary in evidentiary strength. The EV case is closest to a within-technology comparison, because the United States had Tesla, Europe had legacy automakers, and China nevertheless scaled the broad EV production ecosystem fastest. The high-tech case is suggestive because frontier invention and U.S. institutions are deeply intertwined. The luxury case is illustrative because heritage is place-bound by definition. This asymmetry is not a weakness of the note. It clarifies what each case can and cannot prove.

2. Conceptual Frame: Technological Vintage as Institutional Bundle

The term “technological vintage” is usually used to describe capital or production systems embodying different generations of technology. Older and newer vintages coexist; they do not disappear at once. Firms, workers, institutions, and consumers remain attached to different vintages for long periods. This creates layered economies rather than smooth representative production functions.

Vintage-capital theory emphasizes that new investment embodies newer technology. Chari and Hopenhayn’s work on vintage human capital extends this logic to workers: skills are not always generic; they can be tied to particular production systems [1]. Jovanovic and Nyarko likewise show that learning-by-doing and technology choice create adjustment costs when actors move between technologies [2]. These insights matter because technological change is not only a matter of installing machines. It is also a matter of moving human capability from one production system to another.

This note extends the vintage idea beyond machines and worker skills. A technological vintage is treated as a production-and-institution bundle composed of technical knowledge, physical and intangible capital, talent and labor formation, risk-bearing and reward allocation, institutional support and legitimacy, and consumer meaning.

This broader definition links vintage-capital theory to Schumpeterian growth, general-purpose technology, comparative capitalism, and institutional political economy. Schumpeter emphasized creative destruction [3]. Aghion and Howitt formalized innovation-driven growth through replacement [4]. Bresnahan and Trajtenberg conceptualized general-purpose technologies [5]. Hall and Soskice showed how institutional configurations shape comparative advantage [6]. Acemoglu, Aghion, and Zilibotti linked distance to frontier with appropriate institutional forms [7]. Comin and Hobijn showed that technology adoption can be measured across countries and time [8].

The contribution here is not to replace those literatures. It is to use three cases to show how institutional arrangements create different inequality signatures from different technological vintages.

The case selection is mechanism-based rather than geography-based. The United States also contains mature and transitional sectors, including legacy automobiles, energy, healthcare, retail, agriculture, public infrastructure, and old industrial regions. Europe also contains frontier and near-frontier sectors, including ASML in semiconductor equipment, Novo Nordisk in biopharmaceuticals, Airbus in aerospace, SAP and Spotify in software and digital services, and ARM in chip architecture. China also contains vast non-EV consumer-goods sectors, digital platforms, real estate, heavy industry, low-margin export manufacturing, and traditional state-owned enterprises. The three cases therefore do not summarize entire national economies. They isolate mechanisms.

The three cases also do not describe the same inequality object. U.S. high tech primarily illuminates income and wealth concentration from frontier rents: founder equity, stock options, venture returns, superstar wages, public-market capitalization, and platform power. European luxury primarily illuminates the consumption and symbolic side of inequality: it turns wealth hierarchy into demand for distinction, while also concentrating supply-side rents among brand owners, controlling families, designers, and luxury conglomerates. China’s EV industry primarily illuminates spatial, sectoral, and skill reallocation during industrial transition: new manufacturing clusters rise, older combustion-engine regions and firms face pressure, and workers are sorted across new and old production systems.

The comparison is therefore not apples to apples in a narrow statistical sense. It is a typology of distributional mechanisms. Frontier invention creates new top-end rents. Mature prestige monetizes existing hierarchy. Industrial scaling reorganizes opportunity across sectors, regions, firms, and skill groups.

3. Three Institutional Realizations

3.1 U.S. High Tech: Frontier Invention and New Inequality

U.S. high technology is the clearest contemporary example of the frontier-invention vintage. Its economic logic is not broad direct labor absorption. It is asymmetric upside. A small number of people and firms capture enormous returns because the marginal product of successful software platforms, cloud infrastructure, AI systems, and semiconductor designs can scale globally.

This system is especially visible in artificial intelligence. The Stanford AI Index 2025 reported that U.S.-based institutions produced forty notable AI models in 2024, compared with fifteen from China and three from all of Europe combined [9]. The precise numbers will change year by year, but the institutional structure is clear: the United States combines research universities, frontier firms, venture capital, cloud infrastructure, compute access, immigration, and equity markets in a way that rapidly pulls talent into frontier vintages.

The reason this case took root so strongly in the United States is institutional. Frontier-invention vintages require a system that can tolerate extreme uncertainty and concentrate upside. Venture capital, elite research universities, immigration, defense and public research procurement, deep equity markets, stock-based compensation, entrepreneurial labor mobility, and tolerance for failure all support a risk contract in which a small number of successes can pay for many failures. This is especially important for software, semiconductors, cloud infrastructure, digital platforms, and artificial intelligence, where intangible assets and network effects allow successful firms to scale rapidly.

This helps explain why the same high-tech archetype did not appear with equal force in Europe or China. Europe has excellent science, engineering, and frontier firms in specific domains, but its more coordinated labor systems, fragmented capital markets, smaller integrated digital market, stronger precautionary regulation, and lower tolerance for winner-take-most disruption have historically made it less conducive to U.S.-style platform formation. China has produced enormous digital platforms and technical talent, but state direction, capital-market constraints, geopolitical limits, censorship, data governance, and global trust barriers complicate the open-ended frontier-invention model, especially for globally dominant software and AI platforms.

The hypothesis is not that only the United States can innovate. ASML, Novo Nordisk, Airbus, SAP, Spotify, ARM, Tencent, Alibaba, Huawei, BYD, and CATL all disprove that. The narrower claim is that the U.S. institutional system is especially effective at turning frontier uncertainty into privately captured upside.

The talent-allocation mechanism is selective. The system attracts engineers, founders, researchers, product managers, designers, data scientists, chip architects, and venture investors. Labor is mobile and often globally sourced. Rewards are highly skewed: salaries matter, but stock options, founder equity, venture returns, and public-market capitalization matter more. This is the institutional risk contract of American high tech: failure is tolerated, upside is privatized, labor is mobile, capital is patient only when the upside is extreme, talent flows toward frontier uncertainty, and the state supports the ecosystem indirectly through defense research, university funding, procurement, immigration, intellectual-property law, and capital-market depth.

The inequality consequence is structural. U.S. high tech creates new inequality because frontier rents are concentrated in ownership and scarce human capital. Founders, early employees, venture capitalists, and public shareholders capture extraordinary gains. Superstar regions such as Silicon Valley, Seattle, Austin, Boston, and New York benefit from network effects in labor markets, venture finance, and knowledge spillovers. Workers outside the frontier vintage may face displacement, wage stagnation, or exclusion from the new geography of opportunity.

This does not mean U.S. high tech produces only harm. The PC, internet, smartphone, cloud, and AI waves have also generated consumer surplus, lower communication costs, new business formation, productivity potential, and access to services. But the ownership and labor-market rewards from frontier creation are not broadly distributed by default. The system creates the future before it solves the distributional problem created by that future. In this sense, U.S. high tech is socially disruptive but technologically regenerative.

3.2 European Luxury: Mature Prestige and Inequality Monetization

European luxury goods should not be read as a claim about Europe as a whole. Europe contains several institutional modes at once. ASML, Novo Nordisk, Airbus, SAP, Spotify, and ARM all complicate any simple story that Europe has become only a heritage economy. The point here is narrower: European luxury is one especially revealing institutional mode because it shows how a mature production vintage can preserve economic value by moving from functional performance to symbolic authority.

Luxury is not simply expensive consumption. It is often the cultural afterlife of an older production system. Fashion houses, leather goods, watches, wine, perfume, jewelry, and haute couture are not frontier technologies in the same sense as AI chips or electric-vehicle batteries. Their value comes from place, history, craft, design codes, scarcity, intergenerational brand memory, and social recognition. The production system is old, but the brand system keeps it alive.

European luxury emerged in Europe because Europe possesses an unusually deep stock of place-based cultural capital. Fashion, wine, watches, perfume, jewelry, leather goods, and haute couture draw on long histories of aristocratic consumption, urban craft districts, protected regional identities, museums, tourism, design education, family firms, luxury conglomerates, and legally or socially enforced markers of authenticity. These institutions allow older production systems to move from functional utility to symbolic authority.

This is why European luxury is not merely old manufacturing. It is old manufacturing transformed into cultural capital. The French handbag, Swiss mechanical watch, Italian leather good, or Bordeaux wine does not win primarily by functional performance against newer alternatives. It wins by carrying a history that consumers recognize as status, taste, and distinction.

This helps explain why the same mature-prestige archetype did not arise with equal force in the United States or China. The United States has powerful brands, entertainment, consumer culture, and premium goods, but it lacks the same density of pre-modern aristocratic heritage, old-world craft legitimacy, and place-based symbolic authority. China has ancient craft traditions and a fast-growing luxury consumer base, but the twentieth century disrupted many hereditary status systems, and global luxury legitimacy remains strongly tied to European symbols of refinement. China may build future prestige brands, but the current global luxury hierarchy still draws heavily on European historical capital.

Luxury therefore converts maturity into authority. A product is not valuable because it is technologically new. It is valuable because it appears timeless. That is why luxury fits the vintage framework, but with an important qualification. A mature vintage can continue to perform a necessary economic function, be protected from competition through regulation or political power, or relocate value away from function and into symbolism. Luxury goods largely follow the third path. The Swiss mechanical watch no longer wins by telling time better than a digital watch or smartwatch. Bordeaux wine no longer wins because young consumers must drink it. Paris fashion no longer wins because clothing technology requires it. These goods survive because they carry status, memory, craft, and cultural meaning. That is a Veblen move, not simply an incumbent-protection move [13].

The European luxury sector is economically significant. LVMH reported revenue of about €84.7 billion in 2024 [11]. Bain and Altagamma’s luxury-market work shows the sector’s scale but also its fragility: recent reporting placed the personal luxury goods market at about €358 billion in 2025 after two years of contraction, and Bain estimated that the industry had lost roughly 70 million consumers since 2022 as brands raised prices and focused more heavily on top-spending clients [12]. That combination is important: the sector remains enormous, but its demand base is vulnerable to generational shifts, aspirational-consumer fatigue, China cycles, tourism cycles, and pricing discipline that narrows the customer base.

The institutional system behind luxury differs sharply from U.S. high tech. It does not primarily allocate talent to technical invention. It allocates talent to preservation, design, storytelling, retail theater, craftsmanship, brand control, celebrity association, and global status management. Luxury supports artisans, designers, retail professionals, marketing specialists, brand managers, supply-chain specialists, and cultural intermediaries. But its highest returns accrue to brand owners, controlling families, designers, and global luxury conglomerates. The production worker’s skill matters, but the economic rent is mostly attached to the brand.

This gives European luxury a distinctive inequality signature. Luxury goods do not primarily create new inequality the way U.S. high tech does. They monetize existing inequality. The sector flourishes when there is a sufficiently large class of global consumers willing to spend on distinction. It turns wealth inequality into demand. The richer the global elite and upper-middle classes become, the larger the potential market for status goods. But this also means luxury is vulnerable when aspirational consumers retreat or younger cohorts reject inherited status markers.

Luxury is therefore admirable as culture but dangerous as a growth model if mistaken for frontier renewal. It preserves value, but it does not necessarily renew the production frontier. Prestige can be profitable, but it is not the same as technological command.

3.3 China’s EV Industry: Industrial Scaling and Opportunity Reorganization

China’s electric-vehicle industry represents the scaled industrial-transition vintage. EVs are not merely cars with batteries. They reorganize the automobile production system around batteries, power electronics, software, charging infrastructure, supply chains, mining and refining, grid interaction, and consumer electronics logic. The vehicle becomes part machine, part battery platform, part software interface, and part energy system.

China’s EV rise is striking because it shows how a country can move from adopter to scaler and partial originator within a major industrial vintage. According to the International Energy Agency, global electric-car sales topped 17 million in 2024. China’s electric-car sales exceeded 11 million; almost half of China’s domestic car sales were electric, and China accounted for almost two-thirds of global electric-car sales that year [10]. This is not niche adoption. It is mass transition.

The EV case is the strongest evidence for the institutional-realization argument because the technology was broadly available to all major regions, but the institutional outcomes diverged. The United States had Tesla and frontier EV entrepreneurship. Europe had strong legacy automakers, engineering capacity, and climate regulation. China nevertheless scaled the full EV production ecosystem most rapidly. That pattern suggests that the decisive difference was not the availability of the technology alone. It was the institutional capacity to turn the technology into a production system.

China’s EV industry emerged in China because the Chinese institutional system is unusually well suited to industrial scaling. Electric vehicles require more than invention. They require battery supply chains, mineral processing, electronics manufacturing, charging infrastructure, local-government support, production engineering, supplier coordination, domestic market depth, and fierce product iteration. China’s system combined industrial policy, manufacturing labor, infrastructure construction, local experimentation, battery firms, software integration, and intense price competition.

This does not mean China’s EV rise was simply planned by the state. The more accurate interpretation is that the state helped create the field, while firms competed brutally inside it. Policy support, domestic demand, manufacturing depth, and battery learning interacted with market discipline. The result was a fast transition from adoption to scaling and, in some areas, partial technological leadership.

This helps explain why the same EV scaling archetype did not appear first in the United States or Europe. The United States had Tesla and frontier EV entrepreneurship, but it lacked comparable battery supply-chain depth, manufacturing coordination, and state-led infrastructure consistency. Its legacy auto regions, dealer systems, fuel infrastructure, and political polarization slowed broad reallocation. Europe had strong legacy automakers and engineering capacity, but its combustion-engine settlement, labor institutions, regulatory complexity, energy costs, and slower battery-supply-chain formation made rapid scaling harder. China’s advantage was not just EV technology. It was the institutional capacity to turn EVs into a national-scale industrial transition.

Recent work on China’s EV diffusion suggests that the transition cannot be explained by subsidies alone. Product-quality gains, model variety, battery-cost decline, and learning effects appear central to the rise of EV sales share from roughly 1 percent in 2015 to about 45 percent in 2024 [14]. In this sense, the industry demonstrates a real production-system transition, not just a policy-induced demand bubble.

The reward system is different from both U.S. high tech and European luxury. It is not as concentrated as Silicon Valley-style platform equity, but it is not egalitarian. Winners emerge through scale, cost control, supply-chain dominance, and product speed. Firms face brutal price competition. Margins can be thin. Policy support may be significant, but policy discipline and competition can also be severe. The state helps build the field, but firms still fight intensely inside that field.

The inequality consequences are mixed. China’s EV vintage is more labor-absorbing than U.S. high tech because it pulls in manufacturing, batteries, logistics, infrastructure, mining, retail, and maintenance. It can create regional industrial opportunity and middle-skill employment. But it also creates inequality between regions with EV clusters and regions without them, between winning and losing firms, between new-energy workers and legacy internal-combustion workers, and between skilled engineers and routine labor.

China EVs therefore do not simply create top-end wealth concentration. They reorganize industrial opportunity. The inequality signature is not only financial; it is regional, sectoral, and skill-based. Its central achievement is the conversion of a new technology into a large-scale production ecosystem.

4. Protective Foil and Political-Economy Backlash

4.1 Legacy Automobiles and the Refusal of Re-selection

The three main cases all engage technological vintage change in different ways. U.S. high tech engages by creating frontier vintages. China’s EV industry engages by scaling a new industrial vintage. European luxury engages by relocating mature-vintage value from function to symbolism. None of these is the pure protective-shielding mode, where institutions defend an older production system against the generational performance test.

Legacy internal-combustion automobiles provide the natural foil. The EV transition threatens not only a product line but an entire institutional settlement: engine plants, supplier networks, dealer systems, union contracts, regional employment bases, maintenance ecosystems, fuel infrastructure, engineering cultures, and political constituencies built around the combustion engine. When these actors seek slower mandates, softer emissions rules, protective tariffs, subsidies for legacy firms, or regulatory treatment that delays reallocation, they are not exiting the performance test in the way luxury does. They are trying to keep the old vintage inside the protected arena long enough to avoid rapid re-selection.

This foil clarifies the distinction. Luxury survives by moving from utility to distinction. Legacy combustion survives politically by contesting the terms and speed of technological replacement. The first monetizes inherited hierarchy. The second protects an inherited production settlement. Both involve mature vintages, but they are not the same institutional response.

4.2 Three Backlash Profiles

The three inequality signatures also imply different political economies of backlash.

The frontier-invention mode creates new inequality through concentrated upside. Its losers are often diffuse: workers outside the frontier regions, mid-skill professionals facing automation, communities priced out of superstar cities, and citizens who experience the new wealth as cultural and political domination. The backlash is broad but often unfocused. It can appear as resentment against elites, platforms, immigration, finance, education, or the political class more generally.

The mature-prestige mode monetizes existing inequality rather than creating many new displaced workers. Its politics are therefore quieter. Luxury consumption may offend egalitarian sensibilities, but it usually does not produce a large class of newly displaced workers who can organize against it. Its vulnerability is less mass backlash than demand fragility: aspirational-consumer retreat, generational taste shifts, China cycles, tourism shocks, or moral rejection of inherited status symbols.

The industrial-scaling mode reorganizes opportunity and therefore produces more visible, spatially concentrated losers. EV scaling creates new winners in batteries, software, charging infrastructure, and new manufacturing clusters, but it also threatens combustion-engine plants, legacy suppliers, repair networks, fuel systems, and regions built around the old automobile vintage. Concentrated losses are politically more explosive than diffuse anxiety. This is why industrial transition often generates sharper organized resistance than luxury consumption or even frontier digital wealth.

The typology therefore predicts not only different inequality channels, but different backlash forms. Frontier invention produces status anxiety and anti-elite resentment. Mature prestige produces quiet dependence on inequality and taste cycles. Industrial scaling produces regional and sectoral conflict over the speed of reallocation.

5. Implications and Conclusion: AI as the Next Institutional Realization Test

The first implication is that societies cannot copy sectors without copying institutional risk contracts. Europe cannot become Silicon Valley simply by subsidizing startups while maintaining institutional structures designed to protect mature vintages. China cannot turn EV scale into durable global rent without trust, safety, brand legitimacy, software depth, and foreign-market acceptance. The United States cannot easily replicate China’s EV scaling without manufacturing depth, supply-chain coordination, and industrial patience.

The second implication is that inequality must be interpreted by vintage type. U.S. high tech creates inequality through frontier rents. The policy issue is how to widen access to human capital, ownership, and geographic participation without destroying frontier incentives. European luxury monetizes inequality through status consumption. The policy issue is whether mature-prestige sectors remain cultural assets or become substitutes for future-oriented production. China EVs reorganize inequality through industrial transition. The policy issue is whether the benefits of scale reach workers, regions, suppliers, and consumers broadly, or whether price wars and overcapacity destroy value.

The third implication is that technological leadership is not only a function of invention. It depends on the institutional system that carries the technology from idea to production to social income.

This question matters because the next major vintage—artificial intelligence—will not arrive as one uniform economic force. It will be filtered through different institutional systems. The United States may process AI as frontier rent creation: talent concentration, compute infrastructure, venture finance, equity upside, and platform power. Europe may process AI through regulation, consumer rights, safety standards, and market governance. China may process AI through industrial deployment, state coordination, and production-system scaling. Other countries may process AI primarily as dependency, labor substitution, or service-sector disruption.

U.S. high tech, European luxury, and China’s EV industry are institutional mirrors. The United States shows how a society allocates talent toward frontier risk and rewards winners with extreme upside. European luxury shows how mature production systems can preserve value by converting craft and age into cultural authority. China shows how a new industrial vintage can be scaled through manufacturing depth, state coordination, and market discipline.

The broader question is therefore not simply which country has which leading sector. It is why global technologies take such different institutional forms once they are rooted in particular societies. The institutional arrangements of each country shape the industry vintage: who enters it, who finances it, who bears the risk, who captures the reward, and who is left to adjust.

A technological vintage does not arrive as a machine alone. It arrives as a social test. It asks whether a society can allocate talent, labor, capital, legitimacy, and risk in a way that renews its productive base rather than merely protects its inherited settlement. The three cases in this note do not exhaust that test, but they make the test visible.

References

1. Chari, V. V., and Hugo Hopenhayn. 1991. “Vintage Human Capital, Growth, and the Diffusion of New Technology.” Journal of Political Economy.
2. Jovanovic, Boyan, and Yaw Nyarko. 1996. “Learning by Doing and the Choice of Technology.” Econometrica.
3. Schumpeter, Joseph A. 1942. Capitalism, Socialism and Democracy. Harper.
4. Aghion, Philippe, and Peter Howitt. 1992. “A Model of Growth Through Creative Destruction.” Econometrica.
5. Bresnahan, Timothy F., and Manuel Trajtenberg. 1995. “General Purpose Technologies: Engines of Growth?” Journal of Econometrics.
6. Hall, Peter A., and David Soskice, eds. 2001. Varieties of Capitalism: The Institutional Foundations of Comparative Advantage. Oxford University Press.
7. Acemoglu, Daron, Philippe Aghion, and Fabrizio Zilibotti. 2006. “Distance to Frontier, Selection, and Economic Growth.” Journal of the European Economic Association.
8. Comin, Diego, and Bart Hobijn. 2010. “An Exploration of Technology Diffusion.” American Economic Review.
9. Maslej, Nestor, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Njenga Kariuki, Emily Capstick, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, Tobi Walsh, Armin Hamrah, Lapo Santarlasci, Julia Betts Lotufo, Alexandra Rome, Andrew Shi, and Sukrut Oak. 2025. Artificial Intelligence Index Report 2025. Stanford Institute for Human-Centered Artificial Intelligence.
10. International Energy Agency. 2025. Global EV Outlook 2025. IEA, Paris.
11. LVMH. 2025. 2024 Annual Results.
12. Bain & Company and Fondazione Altagamma. 2024–2026. Luxury Goods Worldwide Market Study and market updates.
13. Veblen, Thorstein. 1899. The Theory of the Leisure Class.
14. Yu, Hao, and Jinge Li. 2026. “Heterogeneous Diffusion of Electric Vehicles in China: Demand, Learning, Product Entry, and the Incidence of Industrial Policy.”
15. Kapferer, Jean-Noël, and Vincent Bastien. 2012. The Luxury Strategy. Kogan Page.
16. Reuters. 2024. “Semiconductor Equipment Maker ASML Ships Second High-NA EUV Machine.”
17. Reuters. 2024–2026. Reporting on luxury-market demand, Bain/Altagamma updates, and consumer-base contraction.