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For agents to become truly powerful, they need an open ecosystem similar to the internet. Kevin Scott highlights protocols like MCP and NLweb as foundational layers that serve the same purpose as HTTP and HTML, enabling interoperability and allowing agents to take action across diverse systems.

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Agent Skills and the Model Context Protocol (MCP) are complementary, not redundant. Skills package internal, repeatable workflows for 'doing the thing,' while MCP provides the open standard for connecting to external systems like databases and APIs for 'reaching the thing.'

By integrating the open-source agent framework OpenClaw into its "Scout" agent, Microsoft executes a classic platform strategy. It embraces a popular open standard to attract developers while ensuring the core ecosystem runs on its proprietary cloud infrastructure.

The next evolution of the internet, "Web 4.0," moves beyond human-centric design to serve AI as the primary user. This requires new protocols that give AI agents write access and their own wallets, allowing them to permissionlessly pay for compute, deploy apps, and participate in an economy without human intervention.

An autonomous agent is a complete software system, not merely a feature of an LLM. Dell's CTO defines it by four key components: an LLM (for reasoning), a knowledge graph (for specialized memory), MCP (for tool use), and A2A protocols (for agent collaboration).

OpenAI has quietly launched "skills" for its models, following the same open standard as Anthropic's Claude. This suggests a future where AI agent capabilities are reusable and interoperable across different platforms, making them significantly more powerful and easier to develop for.

A more likely AI future involves an ecosystem of specialized agents, each mastering a specific domain (e.g., physical vs. digital worlds), rather than a single, monolithic AGI that understands everything. These agents will require protocols to interact.

Current AI agents operate in isolation without high-level protocols for collaboration. This creates a critical gap for an 'internet of cognition,' which would enable agents to share context, understand intent, establish trust, and collectively solve problems, moving beyond siloed, human-mediated outputs.

MCP provides a standardized way to connect AI models with external tools, actions, and data. It functions like an API layer, enabling agents in environments like Claude Code or Cursor to pull analytics data from Amplitude, file tickets in Linear, or perform other external actions seamlessly.

Microsoft is integrating the open-source agent framework OpenClaw into its ecosystem for its "Scout" agent. This allows Microsoft to ride a rapidly growing open standard, a move Apple is unlikely to replicate due to its closed ecosystem. It's a strategic platform play to accelerate agent adoption within its enterprise base.

The future of AI is not just humans talking to AI, but a world where personal agents communicate directly with business agents (e.g., your agent negotiating a loan with a bank's agent). This will necessitate new communication protocols and guardrails, creating a societal transformation comparable to the early internet.