Anthropic

"The AI future could be astonishingly good."

Anthropic is an AI safety company and the creator of Claude, one of the most capable large language models. Founded in 2021 by Dario Amodei, Daniela Amodei, and other former OpenAI researchers, Anthropic builds powerful AI systems while investing deeply in alignment, interpretability, and responsible deployment. In the agentic economy, Anthropic's strategy is depth over breadth: three layers with remarkable focus, betting that model quality and developer ecosystem can win without vertical integration.

Claude and Constitutional AI

Claude is distinguished by its Constitutional AI (CAI) training approach — where AI behavior is guided by a set of principles rather than purely by human feedback. Claude's strengths in long-context understanding, nuanced analysis, and code generation have made it a leading choice for enterprise AI deployment and agentic AI applications. Claude is one of the two leading frontier agents at Layer 1 of the agentic economy.

Model Context Protocol (MCP)

Anthropic developed and open-sourced the Model Context Protocol (MCP), enabling AI models to connect to external tools, data sources, and services. MCP has rapidly become foundational infrastructure for the agentic web, with broad ecosystem adoption across competing AI providers. With over 17,000 MCP servers now available, MCP is winning the protocol adoption race and following Reed's Law dynamics where network value grows exponentially with subgroup formation.

Claude Code and Agentic Development

Claude Code and the Claude Agent SDK represent sophisticated agentic systems capable of autonomous multi-step reasoning, tool use, and self-improving software workflows. With 4% of GitHub commits now authored by Claude Code — and on track to potentially reach 20%+ — the self-improving software loop, where AI agents debug and enhance the tools they depend on, represents a paradigm shift that Anthropic's tools are central to. Anthropic doesn't own data, compute, or silicon — it relies on partners (primarily Amazon and Google for cloud). This is a deliberate bet that the protocol and developer layers matter more than infrastructure ownership.

Safety-First Scaling

Anthropic's Responsible Scaling Policy establishes capability thresholds that trigger increased safety measures as models grow more powerful. Combined with investment in mechanistic interpretability, this reflects a philosophy that consequential AI companies must internalize safety as a core engineering discipline.