The Waning Days of Techno-Futurism
Source: Nick Potkalitsky Substack
Author: Nick Potkalitsky
Original source: https://nickpotkalitsky.substack.com/p/the-waning-days-of-techno-futurism
Published: 2026-03-15
Source type: essay
Private backup: the full article text is archived in the private repository at archives/articles/nickpotkalitsky-substack-com-the-waning-days-of-techno-futurism.source.md. It is not published on the public Quartz site.
Summary
Nick Potkalitsky argues that early techno-futurist confidence surrounding AI has weakened as the social consequences of generative AI have become visible. He uses Marc Andreessen’s 2023 Techno-Optimist Manifesto as a symbolic high-water mark, then contrasts it with public concern, AI-generated internet sludge, data center resistance, political deepfakes, and school assessment crises. The article rejects both simple optimism and simple pessimism, pointing instead toward technoskepticism: a critical posture that asks who benefits, who is harmed, what is lost, and how technologies reshape civic and educational life.
Pull quotes
Beyond clean categories
“The truth is that this work is far too complicated for clean categories.”
Confidence eroding
“That confidence has since eroded considerably.”
A broad concern
“The concern is bipartisan, cross-generational, and global.”
Technoskepticism interrogates
“Technoskepticism, as Krutka et al. originally framed it, does not reject technology. It interrogates it.”
Durability note
The examples of public AI sentiment will age, but the technoskeptical posture remains useful: schools need ways to question who benefits, who is harmed, and what educational values are being reshaped by AI systems.
Big ideas
- AI literacy has to be taught inside real subjects
- Schools should start with learning values before choosing AI tools
- AI-era media literacy needs resilience, not just fact-checking
- AI literacy should help people notice how AI changes what counts as knowing
Claims
- Technoskepticism gives schools a middle path on AI
- AI literacy only works when it is connected to subject-area knowledge
- AI-era media literacy needs emotional resilience too
- “Use case” language can hide what AI adoption changes
Key evidence and examples
- Andreessen’s Techno-Optimist Manifesto is used as a symbolic peak of confident techno-futurism.
- The article cites public concern about AI, AI-generated text flooding the internet, data center protests, and political deepfakes.
- Schools are described as facing high student GenAI use, unreliable detectors, returns to oral exams or in-class writing, and unclear policies.
- Samantha Serrano’s typology of GenAI social studies errors includes fabrication, semantic, flattening, media representation, and contextual offense.
Education relevance
Very relevant for AI literacy, social studies education, civic education, media literacy, school policy, and teacher professional communities after the first AI hype cycle.