In 2026, renowned JavaScript author Axel Rauschmayer discovered that his ebook revenues had collapsed from a sustainable living to essentially zero in just two years. At the same time, his blog traffic surged so dramatically that server bills became unaffordable—yet almost all of those hits came from AI scraping bots that never click ads. Large language models are devouring training corpus for free, severing the financial lifeline of independent technical creators.
Skyrocketing Server Bills, Plummeting Incomes
Axel is far from alone. German developer molily compiled an industry roster documenting the fallout. Authors, course creators, and technical instructors across the board have seen their revenue curves fall off a cliff over the past two years. Most peers who once made a living selling web development courses have already shut down their businesses.
LLMs ingest high-quality tutorials and regurgitate them through chatbot interfaces. The search traffic and willingness to pay that once sustained educators vanished simultaneously. Developers are no longer spending time systematically learning a language or framework; they simply prompt a dialogue box for a snippet of code that runs.
Figure: Kyle Cook, creator of the Web Dev Simplified YouTube channel, explains how programming content revenue has halved, noting that producing AI model videos is far easier and more lucrative. Source: YouTube / Web Dev Simplified
Kyle Cook, creator of the million-subscriber YouTube channel Web Dev Simplified, has seen his revenue cut in half. Within the current ecosystem, producing in-depth coding tutorials is labor-intensive and yields shrinking margins, while a hastily thrown-together video reviewing an AI tool pulls in far more views. The tutorial-based monetization model has broken down, and Gresham’s law is driving top-tier educators out of the space.
Slumping Course Sales and Audience Interception
Josh W. Comeau, known for his high-craft interactive tutorials, saw course revenue plunge by more than half, accompanied by a steep decline in student engagement. Learners are increasingly turning to LLMs, relying on error-prone, backward-looking chatbots to generate their code. Sacrificing systematic understanding for immediate output speed trades away long-term engineering quality for instant gratification.
Underlying this frenzy is an unspoken copyright infringement. Model vendors siphon off the collective life’s work of creators without consent or compensation, outputting standardized answers to end users. In the process, the personal voice and craft that educators pour into their work are thoroughly erased.
Figure: Salma Alam-Naylor documents the growing hardships facing DevRel practitioners and technical educators. Source: whitep4nth3r.com
Former Developer Relations practitioner Salma Alam-Naylor eventually stepped away from public-facing educational work to take an internal engineering role, shutting down her public initiatives. As authentic human connections fade, machine dialogues are quietly displacing genuine peer-to-peer technical collaboration.
The Efficiency Illusion: Offloading Bug-Fixing to Editors
Beyond code, technical publishing is feeling the exact same strain. Veteran technical editor Rachel Andrew observed that generative AI is eroding mutual trust across the publishing workflow. AI excels at making mistakes with absolute confidence, producing superficially polished prose that conceals subtle logical flaws from casual inspection.
Writers who rely on AI to save time are merely externalizing their labor costs. The perceived personal efficiency gain simply pushes the burden of fact-checking and troubleshooting onto technical editors and, ultimately, readers. The technology does not reduce the total volume of work—it merely makes someone else’s job harder.
Commoditizing Knowledge Under the Guise of Democratization
AI evangelists routinely frame this transition as the “democratization of technology,” pretending algorithms are knocking down barriers to knowledge. The reality points in the opposite direction. Large models do not teach users deep problem-solving skills; they merely degrade specialized knowledge into a cheap commodity while centralizing compute, data, and power in the hands of a few tech oligopolies.
Once the economic foundations of technical education crumble and the supply of high-craft content dries up, AI models starved of fresh human insight will have nothing left to output but stale, outdated code. The AI models that displace educators today will ultimately hand the bill for technical stagnation to every developer tomorrow.
Reference Links:
- The death of web development education
- The story of this blog so far
- AI is killing developer education
- HN Discussion (item?id=49927100)
- Lobsters Discussion (s/td9dxd)
