The Ecology of Acceleration

We Inherit Our Tools. We Must Cultivate Ourselves.

Every generation inherits technology from the past. For current generations, when we were born, people had already been working on roads, electrical grids, vaccines, legal systems, libraries, and even algorithms.

The distinct technologies that allowed this became part of our environments, ingredients for what people expect as normal, valuable, and necessary.

With the accelerating pace of change, it's easy to feel like we haven't inherited the wisdom we need to live with our inventions. So how can we learn to inhabit the rapidly-approaching future?

The Case for Acceleration

Effective accelerationism begins from a reasonable observation: technological progress has repeatedly expanded the range of lives humans can live.¹

Over the centuries, science, medicine, and engineering turned previously fixed constraints into problems that could be investigated and solved. Transportation reduced the practical constraint of distance. Electric lighting extended productive hours beyond sunset. Vaccination prevented diseases that earlier societies could only endure. Telecommunication and Digital networks made information available in seconds that once required travel to monasteries, universities, or archives. Life expectancy increased, child mortality declined, and living conditions in many ways are better than they were for the "average" person centuries ago. ²

Progress also compounds. Better instruments reveal phenomena that were previously invisible -> those observations reshape scientific theories -> those theories make new technologies possible -> and those technologies become instruments for the next round of discovery ³. Microscopes revealed cells and microorganisms, laying foundations for cell theory, germ theory, and modern medicine. Industrial chemistry turned discoveries about molecular structure into synthetic dyes, fertilizers, and medicines. Semiconductors enabled modern computing, and computing now helps scientists predict protein structures, simulate physical systems, and design better semiconductors. The products of one generation of science become the perceptual equipment of the next.

The costs of stagnation are less visible than the costs of failure, but they are just as real. A treatment discovered twenty years later means twenty additional years during which patients cannot benefit from it.

So the conversation I want to have about accelerationism is not whether technological capability matters, but about what follows from it. Every successful technology changes more than the problem it was designed to solve.

Every Technology Becomes an Environment

When reliable lighting became inexpensive and widespread, cities, factories, hospitals, and homes reorganized around the assumption that productive activity no longer ended at sunset. When the printing press lowered the cost of reproducing texts, it expanded literacy, scientific exchange, political argument, and religious reform. It also made propaganda and mass persuasion easier to scale.

Marshall McLuhan argued that media reshape society not simply through the content they carry but through the patterns of life they encourage. Technology solves yesterday's constraints while creating tomorrow's conditions, reorganizing the environments in which later decisions are made.⁴.

Acceleration Moves the Bottleneck

Throughout much of history, our species has struggled with scarcity, and many of those shortages remain serious across much of the world. Technologically wealthy societies increasingly encounter different limits, however: attention, judgment, institutional trust, ecological resilience, and the capacity to govern increasingly complex systems.

In 1971, Herbert Simon observed that an abundance of information consumes the attention of its recipients⁵. The observation anticipated a broader pattern: technological progress often removes one constraint while making another more consequential.

For centuries, relatively few people could create or circulate knowledge at scale. Digital networks changed that economics. Publishing became inexpensive and millions of people could reach global audiences, creating a new problem: no individual could evaluate everything being produced. Attention became the resource through which that abundance had to be filtered. search engines, recommendation systems, and social platforms emerged to manage that abundance. Recommendation and notification systems learned which material generated engagement, making a new product that could be bought, measured, and optimized.

Artificial intelligence appears to be shifting the chokepoint again⁶, ⁷. Generating software, reports, translations, lesson plans, marketing copy, and scientific summaries is becoming dramatically cheaper. Producing plausible output is becoming cheaper, while evalutaing it becomes more consequential -- and necessary. Scientists still have to decide which questions deserve investigation. Physicians have to recognize what an automated summary missed and whether a recommendation fits a particular patient. Citizens have to distinguish authentic evidence from convincing fabrications⁸.

Judgment grows through experience, repeated decisions, and exposure to consequences. Trust accumulates through reliable relationships. Institutions acquire memory by preserving knowledge across generations rather than depending on individual leaders. Stewardship develops over years of maintaining places, organizations, and communities long enough to understand how today's decisions reshape tomorrow's possibilities.

Our ability to transform the world is expanding faster than our ability to cultivate the people and institutions responsible for living within those transformations.

Civilization Is Made of Interdependent Ecologies

Progress is often discussed as though countries keep a single scoreboard, economic growth. But countries maintain many forms of wealth at once: fertile soils, functioning watersheds, productive markets, durable infrastructure, and public trust.

These are not independent accounts; they form an ecology. Markets depend on trust. Scientific research depends on institutions that reward careful inquiry. Cities depend on landscapes, watersheds, farms, mines, and electrical grids that many urban residents rarely see. Each form of wealth is supported by other parts of the system.

A society can increase measurable output while consuming the capacity that sustains it. Industrial agriculture dramatically increased yields through fertilizers, irrigation, mechanization, and crop breeding, but some systems achieved those gains partly by drawing down soils, aquifers, biodiversity, and freshwater quality.⁹¹⁰ Companies repeat the pattern when they eliminate inventory, spare capacity, supplier redundancy, experienced staff, or preventive maintenance—reserves whose value often becomes visible only during disruption (when they're working, nothing happens).

This is where civilization begins keeping two ledgers. The first ledger records visible gains: higher yields, faster computation, greater productivity, cheaper communication, while the second records the conditions that made those gains possible.

The debt of progress accumulates, when we mistake liquidation for growth.

What is the Measure of a Forest?

A timber plantation can maximize production by simplifying the landscape to one species, specific planting ages, and removing competing undergrowth¹¹. Healthy forests also store water, cycle nutrients, support many forms of life, and adapt to drought, disease, and fire ¹²¹³. These capacities depend on relationships that disappear when attention narrows to a single production metric.

Optimization asks how to increase output from a system. Cultivation asks what allows that system to remain alive.

Every generation inherits more than the capabilities of the one before it. It also inherits soils, institutions, languages, customs, and landscapes shaped by previous generations. So progress should be measured not only by the capabilities a generation passes on, but by the condition of the world it leaves for the next.

We inherit both.

Climate change is already making farmers more vulnerable to drought, pests, and crop failure, and we'll all feel those effects as agricultural advances try to catch up to to the change that's happening across the world. ¹⁴

Distraction emerged from the interaction between business incentives, interface design, and predictable features of human attention¹⁵ rather than one intentional technology.

Footnotes

1. For effective accelerationism in its proponents' own terms, see Guillaume Verdon ("Beff Jezos"), "Notes on e/acc Principles and Tenets", and Marc Andreessen, "The Techno-Optimist Manifesto", which argues explicitly for accelerated technological development as a route to material abundance and problem-solving. ↩

2. Global life expectancy rose from roughly 32 years in 1900 to 71 years in 2021, while child mortality has fallen dramatically across most of the world. See Saloni Dattani et al., "Life Expectancy", and Saloni Dattani et al., "Child and Infant Mortality", Our World in Data. ↩

3. The cumulative character of scientific and technological development is discussed extensively in the economics and history of innovation. For a broad empirical treatment of how technologies and scientific capabilities build on prior knowledge, see W. Brian Arthur, The Nature of Technology: What It Is and How It Evolves (Free Press, 2009). ↩

4. Marshall McLuhan develops this argument in Understanding Media: The Extensions of Man (1964), especially the opening chapter, "The Medium Is the Message". McLuhan argues that the social significance of a medium lies partly in the changes of scale, pace, and pattern it introduces into human affairs. ↩

5. Herbert A. Simon, "Designing Organizations for an Information-Rich World", in Martin Greenberger, ed., Computers, Communications, and the Public Interest (Johns Hopkins Press, 1971), pp. 40–41. Simon argued that information abundance necessarily creates scarcity elsewhere because information consumes the attention of its recipients—hence his well-known formulation that "a wealth of information creates a poverty of attention." ↩

6. For the rapid expansion of generative-AI capabilities alongside increasing difficulty in evaluation and governance, see Stanford Institute for Human-Centered Artificial Intelligence, "The 2026 AI Index Report". The report documents rapid capability and adoption growth while emphasizing that evaluation methods, governance systems, and other supporting institutions are struggling to keep pace. ↩

7. Stanford's 2026 AI Index describes a closely related mismatch: AI capabilities are advancing rapidly while governance frameworks, evaluation methods, educational systems, and data infrastructure struggle to keep pace. See Stanford Institute for Human-Centered Artificial Intelligence, "The 2026 AI Index Report". ↩

8. See National Institute of Standards and Technology, "Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile" (2024), particularly its treatment of confabulation, information integrity, and content provenance risks associated with generative AI. ↩

9. The Green Revolution combined high-yield crop varieties with expanded irrigation, fertilizer, pesticides, and other agricultural technologies to produce large increases in food output. See Food and Agriculture Organization of the United Nations, "Towards a New Green Revolution". ↩

10. The FAO from the UN notes that Green Revolution systems increased food production while intensive monocropping and heavy fertilizer and pesticide use also contributed to soil degradation, water pollution, and biodiversity loss; see "Agriculture's 'Green Revolution' Must Continue to Evolve". The broader tradeoff between increased material production and declining regulating ecosystem services is also documented in the IPBES Global Assessment Report on Biodiversity and Ecosystem Services. ↩

11. For evidence on the relationship between tree diversity, productivity stability, and forest multifunctionality, see Florian Schnabel et al., "Species Richness Stabilizes Productivity via Asynchrony and Drought-Tolerance Diversity in a Large-Scale Tree Biodiversity Experiment", Science Advances 7, no. 51 (2021), and Robin Veryard et al., "Positive Effects of Tree Diversity on Tropical Forest Restoration in a Field-Scale Experiment", Science Advances 9 (2023). ↩

12. Forests provide multiple simultaneous ecosystem functions beyond timber production, including water regulation, soil protection, biodiversity habitat, nutrient cycling, and climate regulation. See Food and Agriculture Organization of the United Nations, "The State of the World's Forests 2020", and FAO, "Halting Deforestation and Maintaining Forest Ecosystem Services". Also see fire ecology on the Ologies podcast, or English heath habitat restoration after timber monoculture ↩

13. For the role of fungi and other soil organisms in decomposition, nutrient cycling, soil formation, and ecosystem function, see Food and Agriculture Organization of the United Nations, "State of Knowledge of Soil Biodiversity", and D. J. Read and J. Perez-Moreno, "Mycorrhizas and Nutrient Cycling in Ecosystems — A Journey Towards Relevance?", New Phytologist 157, no. 3 (2003). ↩

14. See Intergovernmental Panel on Climate Change (IPCC), "Climate Change 2022: Impacts, Adaptation and Vulnerability, Chapter 5 — Food, Fibre and Other Ecosystem Products". The IPCC finds that climate change is already affecting agricultural productivity and that heat, drought, precipitation changes, pests, and other climate-related hazards pose increasing risks to food production and food security. ↩

15. For evidence that interface design and information visibility shape how limited attention is allocated online, see Nathan O. Hodas and Kristina Lerman, "Attention and Visibility in an Information Rich World". Their analysis of social platforms found that human cognitive limits and interface-level visibility strongly influence information propagation. ↩