Latest articles on AI, technology, and software development.
AMD invests $5 billion in Anthropic, then sells Anthropic the chips that investment buys. Nvidia commits roughly $100 billion to OpenAI, tied to compute purchase agreements. This is not fraud — but the pattern is starting to look like the vendor financing that preceded the 2001 telecom bust.
Companies that last raised money before November 2022 are trading at 52-68% discounts on secondary markets, even as post-ChatGPT AI startups command record valuations — a split that's reshaping how VCs price risk.
Global venture funding hit a record $510 billion in the first half of 2026, and two companies took more than 40% of it. That concentration is quietly reshaping which startups can raise money at all — and the effects are already visible in smaller AI labs and application-layer startups getting squeezed out.
Google, Microsoft, Amazon, and Meta have collectively spent over $20 billion since 2024 licensing AI startup technology and hiring their teams — without buying the companies outright. Here's how this structure works, and why founders and regulators both have reasons to worry.
Microsoft, Google, Amazon, and Meta have committed hundreds of billions to AI infrastructure. Here is what that money actually builds — and what the real bottlenecks are.
AI startup funding in 2025-2026 has bifurcated sharply. Foundation model companies like Anthropic and xAI raise at $50B+ valuations while application-layer startups face brutal Series A crunches. Here's what's actually working and what investors want to see.
Defense technology startups raised over $30 billion in venture capital between 2024 and 2025, making military AI, autonomous drones, and dual-use platforms the fastest-growing category in venture investing — and forcing Silicon Valley to reckon with the ethics of building weapons systems.
In the span of two years, HashiCorp, Redis Labs, and Elastic all changed their licenses from permissive open source to something more restrictive. All three faced major community forks within months. The license wars reveal a deep tension at the center of modern software business: open source drives adoption, but it is very hard to profit from once a cloud provider decides to compete with you.
The race for AI leadership has moved beyond private companies. Governments from the UAE to Saudi Arabia to the US are committing sovereign capital at unprecedented scale to control the infrastructure that runs AI — and the data that trains it.
France backed Mistral with €109M. Saudi Arabia committed $100B+. The UAE's G42 landed $1.5B from Microsoft. Sovereign AI isn't about beating OpenAI — it's about data jurisdiction, strategic insurance, and not depending on American infrastructure for national functions.
After two years of foundation model hype, VC investment in AI startups has shifted — away from "train a better base model" and toward infrastructure, vertical applications, and agentic systems. The numbers from Q1 and Q2 2026 reveal a maturing market with clearer winners, harder questions for generalist plays, and a new wave of bets on AI agents doing real work.
A wave of startups is racing to build AI agents that don't just answer questions but complete multi-step tasks autonomously inside enterprise systems. The market is real, the competition is fierce, and the distinction between 'AI agent' and 'fancy chatbot' is harder to pin down than it looks.