J’ai donné une interview pour @lopinion_fr sur la place de l’IA aujourd’hui ! On s’est arrêté pas mal de temps sur la restructuration du marché de l’emploi et des compétences par cette technologie, qui est capable de faire les choses plus vite (et mieux ?). J’ai la chance de
ECONOMY
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AI’s Impact on Entry-Level Jobs Across Industries
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AI Could Wipe Out Entry-Level Jobs, And That Should Terrify Business Leaders #AI is already reshaping entry-level #jobs, especially in areas such as #marketing, #finance, #law, #software development and #customerservice, where junior #workers often handle repetitive tasks. The
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Claude Opus Input Token Pricing Calculation
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Si c’était 230M de tokens input via Claude Opus ça coûterait dans les 1300 dollars.
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DeepSeek V4 Pro disrupts Western AI market pricing
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Lisez bien. L’IA chinoise #DeepSeek a tué le business occidental de l’IA américaine concurrente en imposant un niveau de prix chinois sur le token, véritablement indécent. Le modèle V4 PRO est méchamment performant.
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Anthropic Profitability Shifts AI Generative Market Dynamics
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Anthropic vient de prouver qu’on peut être rentable dans l’IA générative. OpenAI continue de brûler 14 milliards par an et prévoit 115 milliards de pertes cumulées d’ici 2029. Mistral plafonne. Quand l’un démontre que c’est possible, les autres deviennent suspects. Le marché va
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AI Transitions from Token Maximization to Cost Efficiency
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We are transitioning from the intelligence/tokens maximizing era to the cost efficiency optimization era.
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Model control enables labs to monopolize AI products
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And it is the model that makes it so it is the labs, as opposed to every other software vendor, can ultimately be the sole provider of products. Their post-training and their harnesses and their control over access means that they can build products that no one else can touch.
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AI model quality and price evolution over time
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This is elite data – how the pareto frontier moved over time. Took a lot of effort to get right. Huge shift in the model quality & price in the last 3 years. https://t.co/CtafQ4Gd66
— Peter Gostev (@petergostev) 21 mai 2026This is elite data – how the pareto frontier moved over time. Took a lot of effort to get right. Huge shift in the model quality & price in the last 3 years.
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Free chatbots vs costly high-capability AI agents
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Everyone on earth will get really good chatbots for free, so thats good for democratization of AI, but really good agents that can do complex work burn thousands of times more tokens, and will be reserved for places that can afford to pay, which is bad for democratization.
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Compute limits will favor agentic AI over chatbots
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We are quite short of compute, and that is going to result in compute becoming very expensive for complex agentic workflows even as single-turn chatbots get cheaper. So the richest companies & most pressing use cases will use AI agents & everyone else will be stuck with chatbots?