Most of the time, innovators don’t move fast and break things
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Summary
What This Article Is About
W Patrick McCray challenges the dominant innovation mythology—epitomized by Google image searches yielding “lots of lightbulbs” representing sudden genius flashes by Thomas Edison or Steve Jobs—arguing this “Great White Man approach” fundamentally misrepresents how technological change actually occurs. He demonstrates that Edison “almost never worked alone,” smartphones function because of state-funded R&D rather than Jobs’s singular genius, and corporate research labs like General Electric and AT&T explicitly discouraged disruption, instead seeking incremental improvements to existing systems where “anyone could make a contribution to research ‘even though he be entirely untouched by anything that might be considered the fire of genius.'” McCray introduces the Otts—Bill and daughter Lizzie who built a car-powered washing machine during the Great Depression by removing a rear tire and adding a drive belt—as exemplars of anonymous contributors whose incrementalism constitutes “the real stuff of technological change.”
The essay redefines technology beyond physical objects to include invisible infrastructure: technical standards (screw threads requiring decades of international consensus-building), ideologies (the quest for efficiency from Oliver Evans’s 1790 flour mill through Taylorism to today’s Fourth Industrial Revolution), and layered accumulation where technologies “stack” like geological sediment—SPRINT’s wireless network built atop 19th-century Southern Pacific Railroad lines demonstrates how “old and new technologies accumulate on top of and beside each other.” McCray argues Silicon Valley has created a “monoculture of thought” that obscures technology’s materiality (rare-earth minerals, Foxconn workers), ignores maintenance and repair, and falsely equates computer companies with all “tech” while excluding Boeing or Amazon. He contends innovation isn’t always beneficial—citing crack cocaine, AK-47s, job-destroying automation, and medical innovations raising ethical questions about resource allocation—concluding that “continuity and incrementalism are a much more realistic representation of technological change” than the disruptive genius narrative, urging recognition of maintainers, users, standards, and the “intangibles” that actually enable technological systems to function.
Key Points
Main Takeaways
Great White Innovator Myth
Innovation narratives centered on lone genius men like Edison or Jobs obscure that Edison worked collaboratively, smartphones rely on state-funded research, not singular vision.
Incrementalism Over Disruption
Corporate labs like GE and AT&T actively discouraged disruption, seeking marginal improvements to existing systems; continuity rules, disruption is rare in technological history.
Technology Beyond Things
Technology includes invisible infrastructure—technical standards created through political consensus, regulations, patents, professional accreditations—not just physical devices and machines.
Layered Technological Stacking
Technologies accumulate like geological sediment—SPRINT built wireless networks atop 19th-century railroad infrastructure; old and new persist simultaneously creating “lumpy, bumpy” technological landscapes.
Efficiency as Ideology
Efficiency isn’t timeless universal value but historically grounded ideology—from Oliver Evans’s 1790 flour mill through Taylorism to Fourth Industrial Revolution—sometimes trumped by other imperatives.
Innovation Not Always Beneficial
Crack cocaine and AK-47s were innovative; automation destroyed jobs; medical innovations raise ethical questions—innovation mythology obscures that technological change brings losses alongside gains.
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Article Analysis
Breaking Down the Elements
Main Idea
Dismantling Innovation Mythology
McCray challenges pervasive “Great White Innovator” mythology attributing progress to disruptive genius individuals, demonstrating instead innovation occurs through incremental change by anonymous contributors, invisible infrastructure like technical standards, and layered accumulation of existing technologies. Systematically deconstructs popular narratives—Edison’s lone genius, Jobs’s singular vision, Silicon Valley disruption ethos—revealing Edison worked collaboratively, smartphones depend on state-funded research, corporate labs actively discouraged novelty favoring marginal improvements protecting investments. Introducing Kansas Depression-era Otts (car-powered washing machines) as representative innovators recenters history around “incrementalism that is real stuff of technological change,” arguing mythology obscures “broad and deep currents actually driving innovation.” Reframing includes recognizing technology encompasses non-material elements, understanding technologies stack geologically, appreciating innovation brings losses alongside gains demanding critical assessment.
Purpose
To Reconstruct Technology History’s Epistemology
McCray reshapes understanding of technological change by replacing dominant Great Man narrative with complex framework emphasizing collective effort, infrastructure, continuity. Functions as both historiographical critique—exposing how books like Isaacson’s perpetuate misleading accounts—and pedagogical intervention using classroom experience demonstrating how narrow perceptions limit understanding. Arguing “history of technology too important to be left to technologists” positions proper understanding as democratically necessary, warning mythological thinking produces policy failures like “breathless Hyperloop stories” while “neglecting public transport based on existing, proven technologies.” Purpose extends beyond correcting record to enabling better decision-making: recognizing maintenance matters, understanding efficiency as historically contingent not universal, appreciating change “unfolds in fits and starts unevenly” demands humility about disruption claims.
Structure
Myth Deconstruction → Case Studies → Conceptual Reframing
Opens with myth-demolition—Google image searches, Edison/Jobs hagiography, Isaacson’s shallow narratives—establishing innovation mythology before introducing counter-evidence through Otts and corporate lab histories showing disruption discouraged. Develops three major conceptual expansions: technology includes non-material infrastructure (standards requiring political consensus, ideologies like efficiency quest), technologies layer geologically (SPRINT built on railroad infrastructure, 19th-century Japan mixing steam and sail), innovation isn’t inherently beneficial (crack cocaine, job-destroying automation, medical ethics dilemmas). Each section employs specific examples grounding abstract arguments. Balances critique (exposing Silicon Valley monoculture, debunking Victorian Internet comparisons) with reconstruction (recognizing maintainers, appreciating invisible standards, understanding efficiency contingency), concluding by integrating insights emphasizing “continuity and incrementalism” over disruption, “intangibles” over material objects, diverse global perspectives over linear progression.
Tone
Scholarly Iconoclasm with Pedagogical Patience
McCray writes as historian-educator challenging received wisdom while maintaining accessibility, balancing sharp critique—calling reliance on Musk or Thiel for tech history equivalent to “turning to Bill Clinton or Newt Gingrich to tell political history of 1990s”—with patient explanation using classroom anecdotes and familiar examples (hardware store screws, kitchen arrangements, postal systems). Combines academic authority citing Winner’s “artefacts have politics” and Ensmenger on geography-technology relationships with conversational directness asking “how come you haven’t heard of Otts?” and describing Silicon Valley fascination as “dysfunctional relationship hallmarks.” Employs measured indignation at mythological thinking’s consequences without descending into polemic, instead constructing systematic alternative through accumulated evidence. Voice maintains scholarly precision while pursuing demystification, making complex historiographical arguments accessible through vivid imagery and strategic repetition of incrementalism, continuity, anonymous contributors typically erased.
Key Terms
Vocabulary from the Article
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Tough Words
Challenging Vocabulary
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A figure of speech in which a part represents the whole or vice versa; using a specific example to stand for an entire category or concept.
“Just as ‘computer’ is a synecdoche for ‘technology’, Silicon Valley has come to reflect a certain monoculture of thought about technology.”
People who believe in minimal government regulation of technology and markets, advocating that technological innovation should proceed with maximum freedom from state intervention or oversight.
“Techno-libertarians might claim ‘I made it’ but the reality is that, without international standards, whatever they made wouldn’t work very well.”
The highest point or peak of development; the culmination or maximum influence of a trend, movement, or phenomenon.
“By the early 20th century—the apogee of Taylorism—experts argued that increases in efficiency would realise the full potential of individuals and industries.”
The 19th-century belief that American expansion across the continent was inevitable, justified, and divinely ordained; more broadly, any ideology claiming inevitable progress or rightful dominance.
“On one hand, this is a portrait of American manifest destiny. Seen another way, it’s a vivid example of how interdependent transportation and communication systems were.”
Expressing praise or commendation; containing or characterized by high approval, admiration, or complimentary language.
“Bureaucrats and business leaders alike spoke about cheap postage in laudatory terms that resemble what we hear for many emerging technologies today.”
Having a harmful, destructive, or insidious effect, especially in a gradual or subtle way; causing serious damage or injury to understanding or well-being.
“Popular terminology—the ‘Cloud’ being the most pernicious—obscures the undeniable materiality of technology.”
Reading Comprehension
Test Your Understanding
5 questions covering different RC question types
1According to the article, early 20th-century corporate research labs at companies like General Electric and AT&T actively encouraged their scientists and engineers to create disruptive technological novelty.
2What does McCray mean by arguing that technology includes more than just “things”?
3Which sentence best expresses McCray’s view about the relationship between efficiency and technological change?
4Evaluate these statements about technological layering and persistence discussed in the article:
The telegraph was essentially equivalent to today’s internet in democratizing communication for the majority of people circa 1900.
SPRINT’s wireless network infrastructure originated from laying fiber-optic cables along 19th-century Southern Pacific Railroad tracks.
In 19th-century Japan, steam and sail, railroads and rickshaws coexisted, demonstrating that industrial revolutions were distributed unequally in time and place.
Select True or False for all three statements, then click “Check Answers”
5What can be inferred about McCray’s view on the relationship between innovation mythology and contemporary technology policy?
FAQ
Frequently Asked Questions
The Otts exemplify everything innovation mythology erases: anonymous contributors, incremental adaptation, necessity-driven problem-solving during the Great Depression, and collaborative family effort rather than lone genius. Bill and daughter Lizzie ‘hacked the automobile and re-invented the washing machine’ by removing a rear tire and adding a drive belt—exactly the kind of innovation ‘thought leaders at Davos or TED’ celebrate rhetorically, yet ‘how come you haven’t heard of the Otts?’ Because the Great White Man narrative systematically ignores ‘the critical role that anonymous, unrecognised people play in the incrementalism that is the real stuff of technological change.’ The Otts weren’t creating novel technologies from scratch but adapting existing ones resourcefully, representing how most innovation actually occurs: people making do with available technologies, solving immediate problems through clever modification rather than disruptive breakthroughs. Their obscurity despite genuine innovation demonstrates how mythology marginalizes the very processes that drive technological change, elevating charismatic entrepreneurs while erasing countless contributors whose aggregate incremental adaptations constitute actual progress.
Standards reveal that technological progress requires creating stability and consensus rather than constant disruption. When you buy a screw confident it matches specifications, that’s because ‘American and European bureaucrats and engineers worked for decades to establish standards’ through ‘national and international meetings’ and ‘input from professional engineering societies’—a profoundly political rather than technical process. The 1924 American Standards Association president called standards ‘the liberator’ that relegated solved problems ‘to the realm of the routine,’ showing progress comes from transforming ‘the novel into the mundane’ and making ‘the local into the global.’ This contradicts innovation ideology celebrating perpetual novelty: standards embody anti-disruption, creating technological stability enabling interchangeable parts and global trade. McCray notes complaints that AT&T’s promoted standards ‘stifled innovation and further centralised corporate power,’ revealing tension between standardization benefiting users (through compatibility) and potentially consolidating market power. Standards as ‘political artefacts’ embodying ideologies like internet openness demonstrate technology isn’t value-neutral objects but infrastructure encoding beliefs, requiring democratic oversight rather than technocratic or market-driven determination alone.
The lumpy/bumpy metaphor challenges linear progress narratives, emphasizing that ‘old and new technologies accumulate on top of and beside each other’ rather than newer technologies simply replacing older ones. McCray uses geological imagery—technologies ‘settle over time, like sediment’ forming ‘layers that a geologist might conjure’—showing how infrastructure stacks: 19th-century railroad lines became microwave tower routes became fiber-optic cable paths, with SPRINT’s wireless network built atop Southern Pacific Railroad’s 1800s geography. This persistence creates uneven technological landscapes: ’19th-century Japan was a world where steam and sail, railroads and rickshaws all shared common space,’ while ‘in the Second World War, the most common transport for the German army wasn’t tanks but horses.’ The flatness myth suggests uniform technological adoption globally, but McCray shows ‘Industrial revolutions were distributed unequally in place and time,’ with cutting-edge and obsolete technologies coexisting based on economic, political, and geographical factors. This matters because ‘our prevailing focus on the shock of the technological new often obscures how we see the old,’ leading to neglect of existing proven technologies in favor of speculative innovations, undermining maintenance while chasing disruption.
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This article is rated Advanced because it requires understanding historiographical debates about technology history, distinguishing between popular mythology and scholarly analysis, and synthesizing arguments across multiple conceptual registers—material infrastructure, political processes, ideological formations, and policy implications. Readers must track how McCray systematically deconstructs Great White Innovator narratives while constructing alternative frameworks emphasizing incrementalism, standards, and layering. The piece assumes familiarity with concepts like synecdoche, techno-libertarianism, Taylorism, and manifest destiny, while requiring ability to follow complex arguments about why efficiency is historically contingent rather than universal, how technologies stack geologically, and why innovation isn’t inherently beneficial. Advanced readers must appreciate sophisticated moves like using Kodak’s creation of amateur photographer communities to demonstrate innovation includes user-creation not just object-invention, or recognizing how numerically controlled machine tools served managerial oversight rather than efficiency. The article rewards understanding how methodological claims (redefining technology beyond things) connect to political stakes (enabling better policy), demanding critical reading skills to evaluate whether McCray’s counter-narratives about the Otts and maintenance workers successfully challenge innovation mythology or risk overcorrection.
“The Cloud” epitomizes how digital boosterism obscures technology’s material reality and labor conditions. McCray calls it ‘the most pernicious’ example of terminology that ‘obscures the undeniable (but not all-encompassing) materiality of technology,’ because ethereal cloud imagery erases that ‘all the stuff that makes the internet and the web work is actually made of something—silicon, plastic, rare-earth minerals mined in Bolivia or China.’ The metaphor also renders invisible ‘the Foxconn workers in Shenzhen who assemble iPhones and other high-tech devices,’ allowing consumers to ignore extraction, manufacturing, and labor exploitation underlying supposedly dematerialized digital services. This connects to McCray’s broader critique of ‘extreme perspective of technology that rejects its “thinginess”‘ prevalent among ‘high-tech intellectuals’—treating technology as pure information or software obscures resource consumption, environmental impact, and human costs. Maps representing internet infrastructure as ‘disembodied nodes and flowcharts’ similarly hide physical geography, making invisible the material constraints and geopolitical factors shaping digital systems. The Cloud terminology isn’t merely imprecise but ideologically functional, enabling techno-libertarian fantasies of frictionless innovation unconstrained by material reality while obscuring extraction economies and labor conditions that would demand political and ethical reckoning.
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