Look out for the boom in the US economy when the Supreme Court throws out Trump's tariffs.
ECONOMY
-
Future employment landscape dominated by AI sector growth
By
–
In the future almost everyone will be employed in the AI sector.
-

AI Threatens High-Paid Consulting Jobs at McKinsey
By
–
AI Is Coming for the Consultants. Inside McKinsey, ‘This Is Existential.’ The fear of irrelevance and job loss is now reaching even the highly paid professions.
-
Dynamic Auction Queue System for Claude Sonnet API Access
By
–
Here's a wild idea for you: keep just one server running Claude 3 Sonnet online, hook up a job queue with a limited length and have an auction mechanism people can use to buy their place in the queue such that price varies with demand
-

AI Models Replacing Human Models in Fashion Industry
By
–
The reaction was to be expected – and it is likely to become even stronger. AI is cheaper than human models. Consequently, companies, including fashion companies, will fall back on AI models. And I mean that in a completely value-neutral way, without making an assessment. It
-

AGI Race Goes Global: AI Spending Dominates US GDP Growth
By
–
The race for AGI is borderless. AI spending has surpassed consumer spending for contributing to US GDP growth in H1 2025 Datacenter capex is exploding
-

Inflation Crisis: Prices Up 146%, Incomes Stagnant
By
–
This is staggering… Incomes have not risen 146% in the same time to match. Money is breaking.
-
AI Energy Consumption: Training and Inference Load Impact
By
–
“AI adds load in two ways: massive one-off training runs and the relentless drip of inference as millions query models all day.” https://
eladelantado.com/news/energy-co
llapse-ai-consumption/
… -
Companies Slow to Adopt AI Face Existential Business Challenges
By
–
Companies / industries that are slow to understand and adopt AI have no idea what’s coming.
-
Llama 4 failure reshapes AI landscape geopolitically
By
–
The relative failure of Llama 4 turned out to be very consequential to the AI landscape. It led to the shifting the locus of open weights development to China, a move towards closed models as companies running local Llama couldn’t continue to upgrade, & big talent wars in the US.