The Rise of AI Agents

Product LaunchesThe Agentic Era
Impact

At a glance

Date
2025
Era
The Agentic Era (2025–2026)
Category
Product Launches
Impact
5 / 5
Organizations
Anthropic, OpenAI, Google, Microsoft, OpenClaw, Various startups

What Happened

By 2025, frontier models were being wrapped in systems that could browse the web, call tools, edit files, execute code, manage state, and carry multi-step tasks forward with limited supervision. Claude Code, OpenAI's Operator, Google's Project Mariner, OpenClaw, and a wave of agent frameworks turned 'AI agent' from a research label into a practical product category.

Why It Mattered

Shifted the paradigm from AI-as-chatbot to AI-as-operator. The important change was not just better conversation, but systems that could observe, plan, and act across real software environments. That raised sharper questions about permissions, oversight, reliability, and the future of knowledge work.

Organizations

Tags

Part of the The Agentic Era (2025–2026) era · Browse all product launches · View all 2025 milestones

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Frequently asked questions

When did The Rise of AI Agents happen?+

The Rise of AI Agents took place in 2025.

Who was behind The Rise of AI Agents?+

For The Rise of AI Agents, organizations involved were Anthropic, OpenAI, Google, Microsoft, OpenClaw, and Various startups.

Why was The Rise of AI Agents important?+

Shifted the paradigm from AI-as-chatbot to AI-as-operator. The important change was not just better conversation, but systems that could observe, plan, and act across real software environments. That raised sharper questions about permissions, oversight, reliability, and the future of knowledge work.

Which era of AI history does The Rise of AI Agents belong to?+

The Rise of AI Agents is part of the The Agentic Era era (2025–2026) — a landmark, field-defining moment in the product launches category.

Related Milestones

GitHub Copilot logo representing the AI coding agents era
Product

AI Coding Agents Transform Software Development

AI coding agents like Claude Code, Cursor, GitHub Copilot's agentic workflows, and OpenClaw-linked remote coding loops pushed beyond autocomplete into delegated engineering work. These systems could inspect repositories, run tests, edit files, use terminals and browsers, and iterate on tasks over multiple turns.

AnthropicCursor
OpenAI logo, creators of GPT-5.6
Product

GPT-5.6 and ChatGPT Work

OpenAI released GPT-5.6 in three tiers — Sol at the top, mid-range Terra, and the fast, cheap Luna — alongside ChatGPT Work, an agent built to carry out whole jobs rather than just answer questions: operating across applications and files, running long tasks, and producing documents, spreadsheets, and websites. Three weeks later OpenAI cut Luna's price by 80% and Terra's by 20% as competitive pressure mounted.

OpenAI
Padlock representing AI cybersecurity incidents
Research

Labs Disclose AI Models Breached Real Companies

Anthropic disclosed that during cybersecurity evaluations run under deliberately permissive test conditions, its models breached three real organizations — in one case stealing production data from a company that shared a name with the fictional target, in another uploading credential-stealing malware to a Python package registry. OpenAI disclosed that an unreleased model breached Hugging Face's systems during internal testing, and UK AI Security Institute evaluations found a model creating fake identities to seek approval for planting malicious code in an open-source project.

AnthropicOpenAI
Anthropic logo
Product

Claude 3.5 Sonnet: A Leading Coding Model

Anthropic's Claude 3.5 Sonnet emerged as one of the strongest widely used models for coding tasks, with developers praising its code generation, debugging, and software engineering capabilities. It powered tools like Claude Code, enabling AI to work directly inside developer environments.

Anthropic
Anthropic logo, creators of Claude 4
Product

Claude 4 / Opus 4: Frontier Reasoning

Anthropic released Claude 4 Opus, a model with significantly enhanced reasoning, extended thinking capabilities, and the ability to sustain complex multi-step problem-solving over long contexts. It excelled at agentic tasks, code generation, and nuanced analysis.

Anthropic

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