This article, an interview with AI and business behaviorism expert Daniel Kędzierski, dismantles the reassuring narrative that AI is merely an assistant. Kędzierski argues this was a “lie” and that AI is a disruptive technological revolution that will make certain professions obsolete and fundamentally change the job market.
The New Economics of AI
The interview explains that the business models for large language models are shifting due to massive operational costs. Kędzierski posits that new releases like GPT-5 are focused on cost optimization rather than groundbreaking performance. As a result, companies like OpenAI are moving towards a tiered system with expensive “Super Premium” plans for advanced features, while potentially degrading free versions. This strategy aims to create FOMO (Fear Of Missing Out) to drive users towards paid subscriptions.
The End of the Employee’s Market in IT
The article directly confronts the idea of the “death of programming,” stating that AI will increasingly take over coding tasks, particularly in front-end development. This shift is already leading to layoffs and signifies the end of the employee-centric market in the tech industry. Kędzierski challenges the notion that new jobs are being created to replace those lost, arguing that roles like “prompt master” were fleeting trends and no truly new professions have emerged from the AI revolution yet.
Giants vs. Specialists in the AI War
While giants like OpenAI (aggressive and agile) and Google (resource-rich but constrained) compete, the true advantage may lie with specialized, niche AI models. Kędzierski uses his own company, FastTony, as an example. Its model leverages behavioral psychology and deep local context for marketing—areas where global, universal models are weak. By using exclusive data and understanding local communities, specialized AIs can offer more effective, persuasive, and emotionally resonant solutions than their larger counterparts.
Mentoring question
The article claims that AI is eliminating jobs without creating new ones to replace them, and that specialized skills will be key. How can you identify the unique, context-dependent, or emotionally nuanced aspects of your current role that a global AI model would struggle to replicate?
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