# greyling-software-cost-collapse-permissionless-2025-11-04

## Veille

Collapse of software cost and complexity, AI democratizes development, software becomes "permissionless", societal technical debt, developer productivity +55% - Cobus Greyling - Medium

## Titre Article

The Next Collapsing Tech Cost Is Software Itself

## Date

2025-11-04

## URL

https://cobusgreyling.medium.com/the-next-collapsing-tech-cost-is-software-itself-03e8babf9923

## Keywords

software cost, complexity collapse, IA générative, permissionless development, developer productivity, Marc Andreessen, AI bubble, dark GPUs, Work Slop, AI Slop, technical debt, software democratization, AI tools, ChatGPT, developer employment, enterprise vs. consumer, AI security, AI governance, Gutenberg moment, Software eating the world, a16z

## Authors

Cobus Greyling

## Ton

**Profile:** Conversational-Professional | Analytical with opinion | Analytical-Opinion | Intermediate-Accessible

Greyling adopts a Medium thought-leadership style blending economic/tech analysis with a provocative thesis. Strategic quotes (Marc Andreessen, "Gutenberg moment") and striking concepts ("Work Slop", "AI Slop", "permissionless development") reveal a tech analyst building a strong narrative. The tone alternates between factual rigor (+55% productivity) and memorable phrasing ("Software eating the world"). Typical of Medium articles positioning the author as a critical observer of major tech trends.

## Pense-betes

- **Marc Andreessen**: "No AI bubble" - unlike dot-com (97% "dark" fiber), no "dark GPUs" today
- **Tech wave principle**: "Tech waves surge when the expensive turns cheap enough to squander"
- **Cheap AI**: explosive consumption, people "waste" AI (meme generators, code tweaks)
- **Work Slop & AI Slop**: low-value outputs flooding workflows, emails, the web
- **Intuitive AI UI**: natural language = massive accessibility, record usage
- **Gmail 2004**: 1GB free vs. 4MB for competitors - example of cost collapse
- **4K streaming**: in the background without a second thought, auto-updates consume bandwidth
- **CPUs**: from room-sized mainframes to pocket supercomputers
- **Productivity +55%**: generative AI tools boost developers, reduce cycles/costs
- **Marc Andreessen 2011**: "Software is eating the world" (Wall Street Journal)
- **Past decades**: high software complexity/costs held back production = societal technical debt
- **Software "couldn't eat the world"**: required scarce, costly skilled programmers
- **Now**: "Software is devouring everything because its cost and complexity are collapsing"
- **Permissionless software**: like content (YouTube, blogs, Twitter), software becomes permissionless
- **"Content is now an application; apps are now content"**: blurred lines
- **Developer employment decline**: since 2018 (ADP chart), January 2018 = 100%, January 2024 = ~82%
- **Enterprise ≠ Consumer**: legacy systems, compliance, scale don't disappear overnight
- **"AI might democratise the edges, but the core stays gated"** in enterprises
- **95% of generative AI pilots** fail to reach production (security/governance gaps)
- **Consumer AI**: decentralized platforms "permissionless AI thrives"
- **Software's Gutenberg moment**: revolution comparable to the printing press
- **Software developer employment**: steadily declining since its 2020 peak

## RésuméDe400mots

Cobus Greyling argues that software is undergoing a historic collapse in cost and complexity similar to previous waves (storage, CPUs, bandwidth), fundamentally transforming software production and the development industry.

**No AI bubble according to Marc Andreessen**

Unlike the dot-com bubble, where 97% of deployed fiber optic cable remained "dark" (without demand), current AI faces no demand drought—"there are no dark GPUs". Tech waves surge when the expensive becomes cheap enough to be squandered. AI has reached that point: people "waste" AI on everything, from meme generators to code tweaks, creating "Work Slop" and "AI Slop" (low-value outputs flooding workflows). The intuitive interface (natural language) makes AI massively accessible, triggering explosive consumption.

**History of technology cost collapses**

The article recalls Gmail 2004 (1GB free vs. 4MB for competitors), dial-up where every byte was precious vs. today's background 4K streaming, CPUs evolving from room-sized mainframes to pocket supercomputers. Now it's software's turn.

**Software couldn't "eat the world"**

Marc Andreessen declared in 2011 that "Software is eating the world," but for decades, the astronomical complexity and cost of software development held back production, accumulating massive societal technical debt. Software could not truly "eat the world" as long as it required scarce, costly resources like skilled programmers to build even basic applications.

**The current collapse**

Today, software "devours everything" precisely because its cost and complexity are collapsing. Generative AI tools boost developer productivity by up to 55%, drastically reducing development cycles and costs for everything from prototypes to production code. As content has become "permissionless" (YouTube, blogs, Twitter enabling creation without barriers), software is also becoming permissionless. **"Content is now an application; apps are now content"**—the lines are completely blurring.

**Enterprise vs. consumer divergence**

Greyling qualifies this, however: this transformation will play out differently within enterprises. Legacy systems, compliance obstacles, and scale requirements will not disappear instantly. **"AI might democratise the edges, but the core stays gated"** in an enterprise context. Concrete evidence: while permissionless consumer AI thrives via decentralized platforms, 95% of enterprise generative AI pilots fail to reach production due to security and governance gaps.

**Employment consequences**

The ADP Research chart shows a steady decline in US software developer employment since 2018 (peak ~112% in January 2020, falling to ~82% in January 2024), suggesting a deep industry transformation already underway.

**Gutenberg moment**

The article frames this collapse as "Software's Gutenberg Moment"—a revolution comparable to the invention of the printing press, democratizing software creation in an unprecedented way. The societal technical debt accumulated over decades could finally be resolved thanks to this new accessibility, although the transition creates major disruption for traditional professionals.

## GrapheDeConnaissance

- Cobus Greyling —affirme_que→ le coût du logiciel s'effondre (AFFIRMATION, 0.98)
- Marc Andreessen —affirme_que→ il n'y a pas de bulle IA (pas de "dark GPUs") (AFFIRMATION, 0.97)
- Marc Andreessen —publie→ "Software is eating the world" (EVENEMENT, 0.99)
- IA générative —améliore→ productivité développeurs (CONCEPT, 0.95)
- développement permissionless —améliore→ production logicielle (CONCEPT, 0.92)
- dette technique sociétale —est_basé_sur→ coûts logiciel élevés (CONCEPT, 0.9)
- workslop —est_basé_sur→ surconsommation IA (CONCEPT, 0.88)
- Kore.ai —emploie→ Cobus Greyling (PERSONNE, 0.95)
- Cobus Greyling —affirme_que→ 95% des pilotes IA génératifs d'entreprise échouent le passage en production (AFFIRMATION, 0.93)
- emploi développeurs —mesure→ déclin de ~100% (2018) à ~82% (2024, ADP) (MESURE, 0.91)
- moment Gutenberg logiciel —s_inspire_de→ invention imprimerie (EVENEMENT, 0.85)
- IA générative —permet→ démocratisation création logicielle (CONCEPT, 0.94)

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