Will AI Replace My Job? What the Data Says
Anthropic published the most serious study on AI and employment. Nuanced data that goes against both narratives.
Posts about trends
AI and the Pentagon: Silicon Valley's New Battleground
OpenAI, Google, Meta and Anthropic compete for military contracts. Silicon Valley's pivot to the Pentagon is real.
AI Weekly Radar: February 10-18, 2026
Sonnet 4.6 redefines AI pricing, Mistral acquires Koyeb, EU blocks chatbots, India attracts $200B, and 17 startups raise $100M+.
Enterprise AI in 2026: Where We Actually Stand
84% of companies haven't redesigned a single role for AI. We analyze Deloitte's 2026 report and what businesses must do next.
LLM Sycophancy: AIs That Only Tell You What You Want
Stanford identifies artificial flattery as one of AI's major problems in 2026. If you've used ChatGPT lately, you know exactly what they're talking about.
AI Maturity: Less Code, More Focus
Mature AI means less code, not more. The shift isn't smarter tools — it's knowing when to stop engineering and focus.
Weekly AI Radar: January 22-29, 2026
DeepSeek shakes the market, OpenAI and Anthropic compete for healthcare, 95% of GenAI projects don't generate ROI, and Spain gets an AI factory in Barcelona.
OpenAI Prism: the end of the generic chatbot
A free workspace with GPT-5.2 for writing papers in LaTeX. But the real news isn't Prism: it's what it represents about where AI is heading.
AI Trends in 2026: What Actually Matters
The 7 AI trends defining 2026: autonomous agents, small models, MCP, ROI focus and more. A guide for data professionals.
World Models: AI that predicts the physical world
What World Models are, how V-JEPA works, and why Yann LeCun is betting $3.5 billion on them.
LeCun leaves Meta: LLMs won't reach human-level AI
The godfather of AI bets $3.5 billion on a different architecture: World Models.
The AI bubble: 7 trillion looking for returns
Who wins, who loses, and why you should care. Analysis of massive AI investment and its bubble signals.
95% see no results with AI (and why that's normal)
The J-curve of adoption nobody tells you about. Why productivity drops before it rises when you adopt AI.
36% of Spanish companies now use AI: what it means for you
AI adoption data in Spain in 2025 and what it means for those who work with data. A view from Andalusia.
Data Fabric: what it is and why you should care
Unified data architecture regardless of where data lives. What it means for a data engineer and how it relates to tools you already use.
AI is running out of internet to eat
AI models consume data faster than we create it. Quality internet content is almost used up. What comes next?