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Implic Research · Issue 12 · December 2024

Technology Revolutions and Financial Capital

Tracing the cyclical structure of five technology revolutions to understand how financial capital’s role shifts across the Irruption, Frenzy, Synergy, and Maturity phases — and what that implies for investing in today’s AI cycle.

December 2024Reading time ~25 min
Implic Notes

The relationship between technology revolutions and financial capital can be summarized in four points. First, the technological paradigms that reshape human society do not arrive continuously; they tend to emerge at random and are profoundly unpredictable. New breakthroughs rarely grow out of the old, stable order — they arise as technological mutations and migrate gradually from the periphery to the core. Revolutionary technological mutations are always bottom-up, discontinuous, and impossible to engineer by fiat. Second, the innovations of a technology revolution always appear and erupt in clusters, with a wave of extraordinary talent and innovative companies emerging seemingly out of nowhere: in a new technology cycle it is invariably new people and new companies building the new technology, and development broadly follows the sequence of infrastructure → the “killer artifact” → derivative applications. (Throughout this report, “killer artifact” renders the source’s term for the category-defining product at the heart of each revolution.) Third, absorbing a technology revolution entails the rupture and re-coupling of the capital system — one of the core causes of financial cyclicality. To financial capital, each technology revolution is a batch of brand-new opportunities, and the key variable that breaks the inertia of incumbent firms, institutions, and social habits: financial capital must break the prevailing consensus, move toward the (correct) non-consensus, and then forge a new consensus, so the capital system inevitably passes through a rupture between financial capital and production capital before the two re-couple. Fourth, the diffusion of a single technology revolution generally takes about half a century: the first half is the Installation period, subdivided into the Irruption and Frenzy phases; the second half is the Deployment period, subdivided into the Synergy and Maturity phases, in which the new paradigm becomes mainstream and category definers enjoy the growth dividend.

Different phases of the technology-revolution cycle call for different investment strategies. The Installation period’s defining feature is that the new technology has only just erupted; the key test is whether penetration of the killer-artifact product has crossed 1–5%. At this stage the most rewarding allocation is 80% of capital in the previous cycle’s mature application companies for steady growth and 20% in the current cycle’s infrastructure. The Deployment period’s defining feature is that the killer artifact’s representative company — the category definer — has become clear: it will grow enormously through the Synergy phase and explore upper-layer applications on that base. Here the right strategy is to back the category definer’s rapid growth without wavering, while using venture capital to support upper-layer applications in their early days.

Implications for the current stage: invest primarily in the internet cycle’s mature application companies for steady growth and returns, while positioning in the new cycle’s infrastructure. The AI stack is still in its infrastructure-building stage, with compute, data, and energy as the three pillars; early prototypes of the killer artifact have appeared, but the product form that drives a rapid penetration breakout is still awaited. Every new technology revolution produces a new company that captures the greatest value and profit — never a continuation of the previous cycle’s winners.

01

The Cyclical Structure of Technology Revolutions and Financial Capital


Both technology revolutions and financial capital develop in strongly cyclical patterns; the two reinforce each other, and their relationship shifts from phase to phase. Counting from the First Industrial Revolution, technology revolutions have run through five iterations, and we are now entering the opportunity of a new AI cycle. Within every cycle, financial capital has encouraged and diffused innovation — and earned returns beyond ordinary profit for doing so.

More important, the separation of financial capital from production capital helps new innovation mutate in nonlinear ways. Precisely because financial capital exists, the winners of the previous cycle do not always capture the next cycle’s innovations, while financial capital finds it easier — and is more willing — to back what looks, by the old cycle’s standards, like “peripheral innovation,” and is therefore positioned to catch the birth of the new cycle’s killer artifact. The killer artifact — the category-defining product — is the core of every technology revolution: its appearance opens the cycle, and its penetration determines which phase the cycle is in.

Within a single technology-revolution cycle, different kinds of financial capital play markedly different roles at different phases. The Irruption phase is dominated by venture capital, production-expansion capital, and the introduction and iteration of financial instruments, and its hallmark is the appearance of the killer artifact. The Frenzy phase is led by speculative capital, debt capital, and grey capital, as the market whips itself into a mania around a single theme. In the Synergy phase all six kinds of financial capital participate, harvesting the killer artifact’s rapid growth and backing the adaptive innovations that grow alongside it. By the Maturity phase, production-expansion capital, debt capital, and grey capital dominate, earning steady returns in adaptive-innovation categories while scouting the next cycle’s opportunities.

The role of financial capital across the phases of a technology-revolution cycle
● marks the types of financial-capital innovation active in each phase
PhaseVenture capitalProduction-expansion capitalFinancial-instrument introduction & iterationSpeculative capitalDebt capitalGrey capitalHallmark
Irruption●●●The killer artifact appears
Frenzy●●●A mania erupts around the theme of the day
Synergy●●●●●●Harvests the killer artifact’s rapid growth and backs adaptive innovations growing alongside it
Maturity●●●Earns steady returns in adaptive-innovation categories while seeking the next cycle’s opportunities
Exhibit 1Source: Implic Capital research

Zooming in on a single cycle, the penetration curve traces a classic S-shape: the killer artifact’s appearance opens the Irruption phase; during the Frenzy, financial capital gradually decouples from production capital and the bubble bursts at the turning point; thereafter financial and production capital re-couple through the Synergy and Maturity phases. The first half of the cycle (the Installation period) is driven by financial capital, the second half (the Deployment period) by production capital.

The phases of a single technology-revolution cycle
Schematic penetration S-curve · financial capital leads the first half of the cycle; production capital leads the second
Penetration Irruption Frenzy Turning Synergy Maturity End of the previous revolution Killer artifact appears Bubble bursts Seeds of the next revolution Financial capital dominates Production capital dominates

Irruption

Technical infrastructure develops rapidly; early capital greatly accelerates the technology.

Frenzy

Financial capital begins to decouple from production capital; derivatives proliferate and a bubble forms.

Synergy

Infrastructure is completed; financial capital re-couples with production capital and the technology–capital mapping normalizes.

Maturity

Financial capital accumulates as productive capacity expands; idle capital begins to incubate the next revolution.

Exhibit 2Source: Implic Capital research

On a longer horizon, five technology revolutions have succeeded one another: the First Industrial Revolution of 1771 (the Spinning Jenny), the steam-and-railways revolution of 1829, the steel-and-electricity revolution of 1873, the oil, automobile, and mass-production revolution of 1918, and the information-technology revolution of 1974 (with the PC’s mainstreaming, epitomized by Windows 95, as its landmark) — followed by the new cycle opening around 2022. Each cycle’s diffusion lasts roughly half a century (58, 43, 45, 74, and 40+ years), and the idle financial capital accumulated in one cycle is precisely the fuel that ignites the next revolution.

Cycles and industry themes iterate across technology revolutions
Timeline of the five technology revolutions · each cycle’s diffusion span noted beneath the curve
1771 1829 1873 1918 1974 2022 First (Industrial Revolution) Spinning Jenny · 58 yrs Second (Steam & railways) 43 yrs Third (Steel & electricity) Steel · 45 yrs Fourth (Oil, autos & mass production) Ford Model T · 74 yrs Fifth (Information technology) Win 95 · 40+ yrs
Exhibit 3Source: Implic Capital research
02

The First Three Technology Revolutions: Financial Capital Struggles to Capture Value


In the first three technology revolutions, textiles, steel, and the electrical industry created the greatest value, yet financial capital struggled to capture it. A technology revolution revolves around the appearance of its killer artifact; in essence, new technology drives a step-change in industrial productivity: the first two revolutions opened with the textile machine and standardized production, while the third erupted with the mass production of steel — new means and modes of production taking hold and lifting productivity dramatically.

Across these three cycles, financial capital was still at an early stage of its development and depended heavily on industrial capital: it had reached visible scale, but its core function remained enabling industry; it had not yet become an independent industry of its own. Only at the end of the third technology revolution did financial capital, hatched out of industrial capital, begin to acquire real independence.

The first two technology revolutions: financial capital as an aid to production efficiency

The driving force of the first two technology waves was raising productivity in cotton textiles. The cost of spinning 100 lb of cotton in Britain fell from £2.1 in 1780 to £0.1 in 1830 — down 94% in 50 years. The worldwide consequence of collapsing production costs was a surge in the value of cotton-goods exports: Britain’s cotton-textile exports totaled a mere £260,000 in 1780 and reached £41.05 million by 1830, compounding at roughly 10–20% a year through 1780–1810 and beyond. In this process, the bank capital that provided credit to the industry profited most.

Britain’s cost of spinning 100 lb of cotton fell 94% in 50 years
Unit: £
2.1 1780 1.1 1790 0.6 1795 0.2 1810 0.1 1830 −94% over 50 years
Exhibit 4Source: Implic Capital research (compiled from public historical statistics)
British cotton-textile exports surged; bank capital profited most
Unit: £10,000 · phase CAGRs above the curve
0 1,000 2,000 3,000 4,000 26 1780 166 1790 763 1802 1,895 1810 2,253 1820 4,105 1830 Frenzy Synergy Maturity 20.6% 13.5% 12.1% 1.7% 6.2%
Exhibit 5Source: Implic Capital research (compiled from public historical statistics)

The third technology revolution: steel and electricity capture the most value; financial capital reaches initial scale

The third technology revolution formed a three-layer structure with electricity as the energy infrastructure, steel as the killer artifact, and heavy industry as the derivative application. The rapid fall in steel prices marked the revolution’s irruption: in relative-price terms, steel fell from 2.8 in 1870 to about 1.1 around 1885, then held near 1.0 through the Frenzy, turning, and Synergy–Maturity phases, ending at 0.9 in 1920.

The rapid fall in steel prices marked the irruption of the third technology revolution
Relative steel price, 1870–1920 · phase boundaries above
2.8 1870 2.1 1875 2.3 1880 1.1 1885 1.2 1890 1.0 1893 1.0 1895 0.7 1898 1.3 1900 1.0 1905 1.0 1910 1.0 1915 0.9 1920 Irruption Frenzy Turning point Synergy & Maturity
Exhibit 6Source: Implic Capital research (compiled from public historical statistics)

Financial capital in this era had reached initial scale but remained inseparable from industrial capital. The sales of the major American and German electrical companies from 1893 to 1913 show the industry’s order-of-magnitude expansion: over two decades, Westinghouse’s sales grew from £1.0M to £8.0M and General Electric’s from £4.24M to £17.84M, while Germany’s Siemens and AEG reached £23.65M and £22.65M. Over the same period, US investment in industry (net of inflation) rose from $2.7B in 1879 to $20.8B in 1914.

Sales of the major US and German electrical companies, 1893–1913
Unit: £ thousand (constant exchange rates) · NA = not disclosed in source
YearWestinghouse (US)General Electric (US)Siemens (Germany)AEG (Germany)
18931,0004,240800550
18992,4004,4803,300NA
19064,82012,020NA8,750
19138,00017,84023,65022,650
Exhibit 7Source: Implic Capital research (compiled from public historical statistics)
$2.7B
US industrial investment, 1879
$8.2B
US industrial investment, 1899
$20.8B
US industrial investment, 1914 (net of inflation)

Financial capital’s participation in the electrical industry already foreshadowed its later ability to capture industrial value independently: behind Edison’s financing stood two financial houses, Drexel and Morgan; Thomson-Houston was funded by Boston capitalists; and the merger of the two into General Electric was engineered by Henry Villard — a man of both finance and railroads.

Financial capital’s participation in the electrical industry
By the end of the third technology revolution, financial capital was gaining real independence
EventParticipants
Edison company financingDrexel & Co. (finance); J.P. Morgan & Co. (finance)
Thomson-Houston financingBoston capitalists (finance)
Merger of the two into General ElectricVillard (finance + railroads)
Exhibit 8Source: Implic Capital research
03

The Fourth Technology Revolution: Oil, the Automobile, and Mass Production


The fourth technology revolution formed a cycle with oil as the energy infrastructure, the automobile industry as the core killer artifact, and mass consumption and applications (aircraft, automobiles, and the like) as derivative applications. Infrastructure, killer artifact, and applications realize their value in sequence, each in its own phase of the cycle.

The killer artifact captures the most value within the cycle, while derivative applications live longer: automobiles captured the greatest value during the Synergy phase, with the stock rising 8-fold — the measure of a killer artifact’s worth within its cycle. Upper-layer applications, by contrast, stay vigorous after the cycle ends; their growth early in the next cycle can even exceed that of the Synergy-phase killer artifact.

Infrastructure companies capture the new cycle’s value first

Standard Oil, the energy infrastructure, saw its stock rise about 400% during the “eve of irruption” (1892–1909), before automobiles were even in volume production — infrastructure companies always capture the new cycle’s value first. Through the Irruption phase its stock climbed another 200% or so, punctuated by a crash on the antitrust breakup of 1911 before resuming its rise.

Standard Oil share price: infrastructure companies capture the new cycle’s value first
1892–1920 · price index (schematic redrawing; phases and moves faithful to the original chart)
100 300 500 700 900 1100 1892 1896 1900 1904 1908 1912 1916 1920 Eve of irruption +400% Irruption +200% Crash on the 1911 breakup
Exhibit 9Source: Global Financial Data, Implic Capital research

The killer artifact captures the most value in the Synergy phase

General Motors’ share-price trajectory maps the killer-artifact company’s performance across the whole cycle: up about 200% to $5 in the Frenzy (1920s); down 35% in the turning phase (1930s), touching $0.4 at the low; up about 800% in the Synergy phase (1940s–1950s), from around $2 to $18; then, in Maturity (1960s–1970s), a spike to $40 followed by a 39% retreat to $11 by the late 1970s.

General Motors share price: the killer artifact captures the most value in the Synergy phase
1920s–1970s · log scale (schematic redrawing; phases, key levels, and moves faithful to the original chart)
1 5 20 50 100 1920s 1930s 1940s 1950s 1960s 1970s Frenzy +200% Turning point −35% Synergy +800% Maturity −39% 5 3 0.4 4 2 5 18 40 11
Exhibit 10Source: Public market data, Implic Capital research

Derivative applications capture value in Maturity and early in the next phase

The derivative-application companies of the Nifty Fifty — IBM, Coca-Cola, Merck, GE, and Disney among them — first rose about 200% in the fourth revolution’s Maturity phase (peaking at 3.06 around 1972), then gave back 65% in the bear market; but from the mid-1970s to the late 1990s — early in the next phase — they compounded roughly 6,900%. The growth momentum of derivative applications carried into the next cycle, even outrunning the Synergy-phase killer artifact.

Derivative-application share prices: value captured in Maturity and early in the next phase
1968–2002 · log scale · IBM, Coca-Cola, Merck, GE, and Disney of the Nifty Fifty as proxies (schematic redrawing)
1 10 100 1/2/68 1/2/73 1/2/78 1/2/83 1/2/88 1/2/93 1/2/98 Maturity +200% −65% Early next phase +6900% 3.06
Exhibit 11Source: Public market data, Implic Capital research

Auto production and cycle milestones

Seen through output, US auto production went from about 0.4 million units around 1908 to 5.4 million in the Frenzy, back down to 3.1 million in the turning phase, then 8.2 million and 13 million through the Synergy phase, finally reaching 22.8 million in 1974. Penetration crossed 5% during the Irruption phase — precisely the signal of the automobile switching from slow growth onto an exponential track.

Auto production and milestones of the fourth technology revolution
Auto production (units) · below: infrastructure, killer artifact, and derivative applications entering in sequence
Mid-18th c. 1908 1920 1929 1943 1959 1974 Eve of irruption Irruption Frenzy Turning point Synergy Maturity 0.4M 5.4M 3.1M 8.2M 13M 22.8M Penetration crosses 5% Auto production (units) Infrastructure (energy) Killer artifact (the automobile) Derivative apps
PhaseMilestones
Eve of irruptionCrude price falls 10-fold; annual crude output around 100 million barrels
IrruptionAssembly-line production; Ford in volume production; penetration crosses 5%
FrenzyMass-manufacturing industries rise (petrochemicals, aircraft, communications); fierce competition cuts car prices 10-fold
Turning pointThe field of automakers widens further; the Big Three — GM, Ford, Chrysler — take shape; annual crude output reaches 2.1 billion barrels
SynergyMass-consumption industries rise (appliances, consumer goods); Ford goes public
MaturityThe US auto landscape is settled — the Big Three plus American Motors still standing; annual crude output reaches 20 billion barrels
Exhibit 12Source: Implic Capital research
04

The Fifth Technology Revolution: The Killer Artifact Takes Most of the Profit


The fifth technology revolution formed a cycle with the microprocessor as hardware infrastructure, the PC and the iPhone as core killer artifacts, and internet applications as the upper layer — and for the first time, financial capital could capture value across both private and public markets. The fifth revolution offered the largest opportunity of any technology revolution, and its killer artifacts the largest multiples: Microsoft and Apple each grew roughly 600-fold, in the Frenzy and Synergy phases respectively — which for the PC and for mobile were precisely their own irruption windows. The application layer grew fast too, but still a shade behind the killer artifacts.

Infrastructure: growth concentrated in the first half of the cycle

Intel, the emblem of hardware infrastructure, saw its growth concentrated in the cycle’s first half: up about 350% in the Irruption phase (1972–1987) and about 5,900% in the Frenzy (1987–2000); after the bubble burst in 2000 it fell 75% through the turning phase, added only about 275% in the Synergy phase (2003–2020), and gave back about 50% in the Maturity stage after 2020. The infrastructure company’s window for capturing value opens visibly earlier — and closes sooner — than the killer artifact’s.

Intel share price: hardware infrastructure, with growth concentrated in the first half of the cycle
1972–2022 · log scale, $0.13–64 (schematic redrawing; phases and moves faithful to the original chart)
0.13 0.25 0.5 1 2 4 8 16 32 64 1972 1977 1982 1987 1992 1997 2002 2007 2012 2017 2022 Irruption +350% Frenzy +5900% Turning −75% Synergy +275% Maturity −50%
Exhibit 13Source: Public market data, Implic Capital research

Killer artifacts: Microsoft and Apple capture the most value in the Frenzy and Synergy phases

As the killer artifacts of the PC and the mobile internet, Microsoft and Apple captured value exactly when their platforms erupted: Microsoft rose about 59,900% in the Frenzy (1987–2000), retreated 50% in the turning phase, added another 1,325% in the Synergy phase, and slowed to 32% in Maturity; Apple rose 100% in the Irruption and 625% in the Frenzy, fell 80% in the turning phase, then — riding the mobile internet the iPhone opened — rose about 64,900% in the Synergy phase (2003–2021), easing to 12% in Maturity.

Apple and Microsoft share prices: the most value captured in the Frenzy and Synergy phases respectively
1982–2022 · log scale, $0.01–1000 (schematic redrawing; phases and moves faithful to the original chart)
Microsoft Apple
0.01 0.1 1 10 100 1000 1982 1987 1992 1997 2002 2007 2012 2017 2022 Irruption AAPL +100% Frenzy MSFT +59900% AAPL +625% Turning MSFT −50% AAPL −80% Synergy MSFT +1325% AAPL +64900% Maturity MSFT +32% AAPL +12%
Exhibit 14Source: Public market data, Implic Capital research

Derivative applications: the most value captured in the Synergy phase

The derivative applications, represented by Google, Meta, and Amazon, rose about 4,500% in the Frenzy (1997–2000), crashed 92% in the turning phase, then compounded roughly 37,330% across the long Synergy phase (2002–2021), and still logged a 25% gain into Maturity. Solid fundamentals should keep them supported through the Maturity phase.

Derivative applications (Google, Meta, Amazon), return multiple: the most value captured in the Synergy phase
1997–2022 · log scale, 0.1–10000 (schematic redrawing; phases and moves faithful to the original chart)
1 10 100 1,000 10,000 1997 2002 2007 2012 2017 2022 Frenzy +4500% Turning −92% Synergy +37330% Maturity +25%
Exhibit 15Source: Public market data, Implic Capital research

Laying the fifth revolution’s five phases side by side makes the relay structure — infrastructure → killer artifact → upper-layer applications — plain to see:

The five phases of the fifth technology revolution
Time span, hallmark events, and representative companies of each phase
PhaseCycle positionPeriodHallmarkRepresentative companies
Phase 1Eve of irruptionPre-1970Chips are born and costs fall fast, foretelling the inevitable IT revolutionTexas Instruments, Intel, Micron
Phase 2Irruption1971–1986The killer artifact appears; the operating system marks the birth of the PC internetMicrosoft, Apple
Phase 3Frenzy1986–2000Upper-layer applications around the killer artifact begin to appearAmazon, eBay, PayPal, Google
Phase 4Synergy2001–2020The iPhone appears, the mobile internet begins, and mobile-native applications take offLinkedIn, Facebook, Twitter, YouTube, Instagram
Phase 5Maturity2020–?No new category emerges; momentum helps application companies keep capturing large value—
Exhibit 16Source: Implic Capital research
05

Further Reflections


Reflection one: technology evolves along infrastructure → killer artifact → derivative applications

Within a single technology cycle, technology consistently evolves along the path of infrastructure → killer artifact → derivative applications, and financial capital must rotate its sub-sector themes accordingly to capture the most value in each phase. The third revolution ran on electricity as energy infrastructure, steel as the killer artifact, and heavy industry as derivative applications; the fourth on oil as energy infrastructure, the automobile as the killer artifact, and durable consumer goods, communications, and defense manufacturing as derivative applications; the fifth on the microprocessor as hardware infrastructure, the computer and the smartphone as killer artifacts, and PC- and mobile-internet applications as the upper layer.

Sector progression across three technology revolutions
Bottom-up: ① infrastructure → ② killer artifact → ③ derivative applications

Third technology revolution

③ Derivative applicationsHeavy industryApplications derived from electricity and steel
↑
② Killer artifactSteelThe core of the third technology revolution
↑
① InfrastructureElectricityEnergy infrastructure

Fourth technology revolution

③ Derivative applicationsDurable consumer goods, communications, defense manufacturingApplications derived from the automobile and oil
↑
② Killer artifactThe automobileThe core of the fourth technology revolution
↑
① InfrastructureOilEnergy infrastructure

Fifth technology revolution

③ Upper-layer applicationsPC-internet / mobile-internet applicationsUpper-layer applications around the killer artifacts
↑
② Killer artifactComputer / smartphoneThe core of the fifth technology revolution
↑
① InfrastructureMicroprocessorHardware and infrastructure
Exhibit 17Source: Implic Capital research

Meanwhile, across successive technology cycles, the value captured by the killer-artifact company keeps growing, and financial capital’s toolkit for capturing it keeps expanding. Financial-capital instruments have developed alongside the cycles: from a single function — bank credit — at the start, to financial capital partly hatching out of industrial capital in the third revolution, to the growth of public-market equity investment in the fourth, and the full flowering of private- and public-market equity investment in the fifth. Every added instrument marks another increment in financial capital’s ability to capture industrial value; and because each new technology cycle is larger than the last, the later the cycle, the more value financial capital captures — the fourth revolution’s Synergy-phase killer artifact (the automobile) grew 800%, while the fifth’s (Apple) grew 64,900%. Within one cycle, the investment theme also differs by phase and must stay aligned with the cycle’s progress.

Financial-capital instruments matured across the five technology revolutions
1771–2022 · the later the cycle, the more value financial capital captures
1771 1829 1873 1918 1974 2022 Mainly bank credit Some financial capital hatches from industrial capital → Public-market equity investing develops → Private & public equity investing flourishes → Killer artifact in Synergy (autos): +800% Killer artifact in Synergy (Apple): +64900%
Exhibit 18Source: Implic Capital research

Reflection two: falling production costs and killer-artifact penetration above 5% mark a new revolution’s irruption

Two signals identify the irruption of a new generation of technology revolution. The first is a rapid fall in the production cost of the means of production, which marks that the material basis for the new revolution is in place: in the first two revolutions, Britain’s cotton-spinning cost fell 94% over 50 years (Exhibit 4); in the third, steel’s relative price plunged during the Irruption phase (Exhibit 6); in the fourth, the crude-oil price index likewise fell severalfold across the 1870s–1890s — the collapse in oil production costs paved the way for the automobile.

The second is the killer artifact appearing and its penetration crossing 5%: once a cycle’s killer artifact breaks through that threshold, scale becomes possible and the category flips from slow growth onto an exponential track. In the third revolution, steel’s share of output crossing 5% marked the eruption of heavy industry; in the fourth, automobile penetration crossing 5% marked the eruption of assembly-line manufacturing (Exhibit 12); in the fifth, PC penetration crossing 5% marked the eruption of the information industry — the Intel 4004 of 1971 held just 2,250 transistors, versus 1.2 million by 1989; after the IBM PC launched in 1981 and the Apple Macintosh in 1984, computer sales climbed an exponential path, and MS-DOS, the World Wide Web, Mosaic, and Internet Explorer in turn pushed the cycle into its Frenzy.

The fifth technology revolution: PC penetration crossing 5% marked the eruption of the information industry
1971–2000 · top: computer sales (schematic); bottom: transistors per microprocessor · panels share the x-axis
Eve of irruption Irruption Frenzy Computer sales (units, schematic) 1,000 5,000 20,000 50,000 140,000 1981 IBM PC · MS-DOS 1984 Apple Macintosh WorldWideWeb Mosaic graphical browser Internet Explorer Transistors per microprocessor 2,250 22,900 275,000 1,200,000 1971: Intel 4004, the world’s first microprocessor 1971 1975 1980 1985 1990 1995 2000
Exhibit 19Source: Implic Capital research

Reflection three: Installation vs. Deployment — is the killer artifact settled?

The deepest difference between the Installation and Deployment periods is whether the killer artifact has been settled — and the investment categories that capture the most value differ accordingly. Installation-period strategy: put 80% into the previous cycle’s application companies for steady growth and 20% into the coming cycle’s infrastructure — the fourth revolution’s derivative-application companies kept performing through Maturity and the next cycle’s Installation period (Exhibit 11), while Intel, the fifth revolution’s infrastructure standard-bearer, completed most of its rise precisely during Installation, i.e. the Irruption and Frenzy phases (Exhibit 13). Deployment-period strategy: back the category definer’s growth without wavering — General Motors’ 800% rise in the Synergy phase (Exhibit 10) and Apple’s 64,900% (Exhibit 14) are both footnotes to the category definer in Deployment.

In short: as a new cycle opens, the best allocation pairs the previous cycle’s mature application companies with the current cycle’s technology innovators, combining stability with growth; in the Frenzy, invest in the private market in the companies most likely to become the category definer in their track; and in the Synergy and Maturity phases, own the category definer and its derivative-application companies.

Installation vs. Deployment: whether the killer artifact is settled determines what to own
Schematic penetration S-curve · markers ①–⑤ tie each phase to its key facts
Penetration Irruption Frenzy Turning Synergy Maturity 1 2 3 4 5 Installation period Deployment period 1 Prior-cycle derivative apps still grow steadily on momentum 2 The killer-artifact product marking the new cycle appears 3 Industry melee around the artifact; the category definer emerges 4 The artifact company grows fast; new derivative apps build on it 5 Derivative-application companies mature
Exhibit 20Source: Implic Capital research

Reflection four: implications for the current stage

AI, the central theme of a brand-new technology cycle, must likewise pass from infrastructure to killer artifact to applications — and it is still early in the Irruption phase: the AI stack remains in its infrastructure-building stage, with compute, data, and energy as the three pillars; prototypes of the killer artifact have appeared, but the product form that triggers a rapid penetration breakout is still awaited. The next milestone is killer-artifact penetration crossing 5%; the milestone after that is the emergence of the representative company in the killer-artifact race — most likely a new company building a new product, not an extension of a mature company from the previous cycle.

What this implies today: own the internet cycle’s application companies plus the AI cycle’s infrastructure. On one side, invest in the previous technology cycle’s application companies (the Magnificent 7) for dependable growth — after rising 37,330% through the Synergy phase, Google, Meta, Amazon and peers still logged a 25% gain in Maturity on solid fundamentals (Exhibit 15). On the other, position in the new cycle’s infrastructure themes: compute (Nvidia), data (Google, Meta, and other companies with edge data-collection reach), and new energy (fusion, batteries, and other new energy technologies).

AI, the core theme of a new technology cycle, is still early in the Irruption phase
Schematic penetration S-curve · below: the infrastructure → killer artifact → derivative applications relay, and today’s infrastructure themes
Eve of irruption Irruption Frenzy Turning point Synergy Maturity Magnificent 7 still compounding steadily Next milestone: killer-artifact penetration crosses 5% Second milestone: the killer-artifact race finds its champion — most likely a new company with a new product, not last cycle’s incumbents Today: data, energy, and compute build out fast; early killer-artifact prototypes have just appeared Infrastructure Killer artifact Derivative apps Compute Nvidia Data Google, Meta, and others with edge data-collection reach New energy Fusion, batteries, and other new energy technologies
Exhibit 21Source: Implic Capital research

This report is based on publicly available information, independently compiled by Implic Capital. It is for informational purposes only and does not constitute investment advice. Historical stock-price exhibits are faithful schematic redrawings of the original research charts; phase boundaries and key annotations follow the original data.