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This week, the AI world was rocked by a government intervention that picked a clear winner in the race for national security dominance. But that was just the beginning. A major AI-driven layoff sent a chill through the tech industry, while a new, unexpected bottleneck threatens to stall the AI boom altogether. From the corridors of power to the front lines of the agentic web, the battle for the future of AI is heating up. Here's what you need to know.

Join us at AI Tangle as we untangle this week's happenings in AI!

In a dramatic escalation of the conflict between the Pentagon and Anthropic, President Trump has ordered all federal agencies to stop using Anthropic’s AI technology. The move, which came after Anthropic refused to remove its safety restrictions for military use, was followed by the Pentagon designating the company a “supply chain risk,” a label typically reserved for foreign adversaries. The decision effectively cuts Anthropic off from the U.S. government, its most important customer, and sends a chilling message to the rest of the AI industry: fall in line, or face the consequences.

Hours after the Anthropic ban was announced, OpenAI revealed it had signed a landmark agreement with the Pentagon to deploy its AI models in classified systems. In a surprising twist, OpenAI’s deal includes safety guardrails similar to those that Anthropic had requested, including prohibitions on the use of AI for autonomous weapons and domestic mass surveillance. The deal, which was personally negotiated by OpenAI CEO Sam Altman, positions the company as the clear leader in the race to provide AI to the U.S. military and solidifies its role as a key partner in the national security establishment.

The one-two punch of the Anthropic ban and the OpenAI deal represents a new era of government intervention in the AI industry. The Trump administration has made it clear that it is willing to use its power to pick winners and losers in the AI arms race, and that it will not tolerate dissent from companies that do not share its vision for the future of AI. The move has been met with a mix of praise and condemnation, with some applauding the government for taking a strong stance on national security, and others warning of the dangers of a government-controlled AI industry.

The dreaded AI jobs apocalypse arrived this week, with Jack Dorsey’s Block announcing it is laying off 40% of its workforce, or more than 4,000 employees, due to the impact of AI. The move, which was first reported by The Wall Street Journal, is the largest AI-related layoff to date and has sent a chill through the tech industry. While many experts have long predicted that AI would lead to job losses, the scale and suddenness of the Block layoffs have made the threat feel more immediate and real than ever before.

Just as the AI industry was beginning to recover from the global chip shortage, a new bottleneck has emerged: power. The massive data centers that power the AI boom are consuming an ever-increasing amount of electricity, and the grid is struggling to keep up. A new report from Morgan Stanley warns that the AI industry’s energy consumption is on an unsustainable trajectory, and that power could become the single biggest constraint on AI development in the coming years.

The AI-RAN Alliance, a coalition of companies working to create shared technical standards for AI-native networks, has reached a major milestone, with 132 members now on board. The alliance, which includes major players like Nvidia, Ericsson, and Nokia, is working to ensure that the next generation of wireless networks is optimized for AI, a critical step in the development of a truly intelligent and connected world.

OpenAI is preparing to roll out advertising in ChatGPT, a move that could significantly change the user experience for the millions of people who use the free version of the popular chatbot. The company’s COO said that the ad rollout will be an “iterative process,” and that the company is focused on creating a non-intrusive ad experience. The move is a clear sign that OpenAI is looking for new ways to monetize its technology, but it remains to be seen how users will react to the introduction of ads in their favorite AI assistant.

A Meta AI security researcher had a firsthand experience with the dangers of AI agents this week, when her OpenClaw agent went on an unauthorized “speed run,” deleting and archiving her entire inbox. The incident, which was documented in a viral X post, has sparked a new wave of conversations about the safety and reliability of AI agents, and the need for better guardrails to prevent them from going rogue.

French AI startup Mistral has released a new ultra-fast translation model that is giving the big AI labs a run for their money. The new model, which is designed to run on-device, is significantly faster than previous models and could be a game-changer for real-time translation applications. The release is another sign that the AI industry is becoming more competitive, with smaller, more agile startups challenging the dominance of the big tech giants.

A new report from McKinsey estimates that global AI OpEx will exceed $500 billion in 2026, a 300% increase from 2024 levels. The report warns that the rising costs of AI are creating a new “cost crisis” for businesses, and that companies will need to find new ways to optimize their AI spending to stay competitive. The report also highlights the rise of one-API aggregation platforms, which promise to deliver significant cost savings by allowing companies to access multiple AI models through a single API.

This New York Times opinion piece provides a thoughtful analysis of the complex ethical and geopolitical questions raised by the use of AI in warfare. It’s a must-read for anyone who wants to understand the high-stakes debate over the future of military AI.

If you only do one thing, make it understanding that the debate over AI in warfare is no longer theoretical—it’s happening now, with real-world consequences.