Archive
Original reporting on AI agents, funding moves, tools, and the infrastructure layer reshaping how work gets done.
Salesforce just bet its entire platform on multi-agent orchestration. If it works, every enterprise software company has to follow. If it doesn't, the AI era for business software gets pushed back a decade.
Apple's partnership with Google to integrate Gemini into iOS is not primarily about adding AI features to iPhone. It is about positioning Apple as the preferred AI runtime for third-party developers.
A new survey of 2,400 knowledge workers shows 91% are using AI tools at work. But only 20% report measurable productivity gains. The gap between AI adoption and AI outcomes is a genuine management challenge.
Microsoft is positioning Windows 11 as the operating system layer for AI agents. The implications for enterprise software, developer tooling, and the future of desktop computing are significant.
Infrastructure companies, AI labs, and startups are all racing to own the "agentic middleware" layer — the orchestration, memory, and execution layer that turns raw LLM calls into reliable autonomous systems.
Horizontal AI tools compete on feature parity and price. Vertical AI products solve specific problems so well that buyers pay premiums of 5-10x over generalist alternatives.
Model Context Protocol crossed 97 million installs faster than any developer tool in recent memory. The competition with Anthropic's ACP and Google's A2A is effectively over — MCP is becoming the standard.
Build 2026 marked a turning point: Microsoft repositioned its entire developer platform around AI agents. Copilot is no longer a feature — it is the architecture.
Regulatory intervention in Meta's proposed AI deal marks a new era of tech nationalism in artificial intelligence.