1. Anthropic’s $30B Surge and the TPU "Checkmate"

In a major hardware reshuffle, Anthropic has announced a massive expansion of its partnership with Google and Broadcom.

• The "Checkmate" Move: Starting in 2027, Anthropic will deploy multiple gigawatts of next-generation Tensor Processing Units (TPUs). While Nvidia has dominated the GPU era, this move signals a pivot toward custom AI chips designed specifically for the Claude architecture.

  
  

• Run-Rate Milestone: Anthropic confirmed that its run-rate revenue has officially surpassed $30 billion, a staggering leap from the $9 billion reported at the end of 2025.

  
  

• American Infrastructure: The vast majority of this new compute will be sited in the United States, forming a core part of a $50 billion investment in domestic AI power.

  
  

2. Geely i-HEV: AI Drives a New World Record

Automotive giant Geely has set a new global benchmark for hybrid efficiency today, launching its i-HEV Intelligent Hybrid technology.

• 2.22L/100km: Integrating "Full-domain AI 2.0," the system achieved a record-breaking fuel consumption of just 2.22 liters per 100km (roughly 106 MPG).

  
  

• AI Cloud Power: The car debuts "AI Cloud Power," which senses real-time exterior data like altitude and humidity to optimize the petrol-electric strategy instantly.

  
  

• Thermal Efficiency: The engine achieved a world-record thermal efficiency of 48.41%, validated by Guinness World Records™.

  
  

3. The "Agentic Rebuild": Companies Outgrow the Cloud

A new analysis from Forbes today warns that enterprise IT infrastructure is hitting a wall as AI agents move from pilots to operational roles.

• Human-Centered No More: Most current cloud and security models were designed for people working 9-to-5. AI agents are "always-on" and perform tasks autonomously, making existing architecture look "creaky".

• The Solution: Businesses are now being urged to "rebuild" their strategy around machine-to-machine communication rather than human-centered workflows to prevent agentic projects from failing.

4. PsiBot Funding: The Rise of Dexterous Manipulation

The field of Embodied AI received a major boost today as PsiBot closed its latest funding round to solve the "dexterous manipulation" challenge.

• VLA Models: The firm builds software around end-to-end Vision-Language-Action (VLA) models, allowing robots to understand and interact with the physical world more like humans.

• Warehouse Validation: The technology has already been validated in logistics warehouses, showing tangible gains in automated sorting efficiency.

Tech Spotlight: SMRT & JARVIS

In Singapore, public transportation provider SMRT is piloting JARVIS, an intelligent data AI platform powered by Oracle Cloud. The system uses autonomous databases to predict and improve rail maintenance, ensuring reliability for two million daily commuters.

Prompt Tip of the Day: The "Agentic Architect" — Infrastructure Auditor

Inspired by today's news that companies need an "Agentic Rebuild," use this prompt to see if your own digital setup is ready for autonomous helpers.

The Prompt: "act as a professional chief ai architect and it strategist. i want to audit my current digital stack [insert tools, e.g., 'i use slack, notion, and a custom crm'] to see if it can support 'always-on' autonomous agents. please structure a framework for this audit that includes:

• bottleneck identification: instructions for the agent to find 3 areas where 'human-only' logins or manual 'two-factor authentication' will break an autonomous agent.

• security perimeter check: a rule for the agent to evaluate if my current permissions allow a bot to 'act' on my behalf without exposing my primary passwords.

• data flow map: a requirement that the agent identify which parts of my workflow use 'unstructured data' (like messy notes) that might confuse a standard agent.

• api readiness report: a template that ranks my tools based on their 'api maturity,' determining which ones are 'agent-friendly' versus 'legacy-locked.'

for each point, provide clear, step-by-step rules that would allow an ai agent to operate as a professional, thorough, and future-minded it consultant."