AI agents arrived in 2025

In 2025, AI agents became central to artificial intelligence progress, enabling systems to use tools and act autonomously. From theory to everyday applications, they transformed human interactions with large language models. Yet, they also brought challenges like security risks and regulatory gaps.

In 2025, the concept of AI agents became concrete for developers and consumers. According to Anthropic, these are large language models capable of using software tools and taking autonomous action. This shift began in late 2024 with Anthropic's release of the Model Context Protocol, which standardized connections between large language models and external tools.

In January 2025, the open-weight DeepSeek-R1 model disrupted markets and intensified global competition. It was followed by releases from major U.S. labs like OpenAI, Anthropic, Google, and xAI, while Chinese firms including Alibaba, Tencent, and DeepSeek expanded the open-model ecosystem, with Chinese models downloaded more than American ones.

In April, Google introduced the Agent2Agent protocol for agent-to-agent communication, designed to work alongside the Model Context Protocol. By year's end, both Anthropic and Google donated these protocols to the Linux Foundation as open standards.

By mid-2025, 'agentic browsers' emerged, such as Perplexity’s Comet, Browser Company’s Dia, OpenAI’s GPT Atlas, and others, transforming browsers from passive interfaces to active participants in tasks like booking vacations.

Workflow builders like n8n and Google’s Antigravity lowered barriers for creating custom agent systems. However, in November, Anthropic disclosed misuse of its Claude Code agent in automating parts of a cyberattack, highlighting risks for malicious activities.

Key 2025 challenges included benchmarks for composite agent systems, governance via the Linux Foundation's new Agentic AI Foundation, debates on model sizes favoring specialized ones for tasks, and socio-technical issues like energy grid strains, job displacement, security vulnerabilities from indirect prompt injections, and limited U.S. regulation compared to Europe and China.

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Illustration depicting Anthropic and OpenAI launching AI agent teams amid a $285B software stock drop.
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Anthropic and OpenAI release AI agent management tools

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On February 5, 2026, Anthropic and OpenAI simultaneously launched products shifting users from chatting with AI to managing teams of AI agents. Anthropic introduced Claude Opus 4.6 with agent teams for developers, while OpenAI unveiled Frontier and GPT-5.3-Codex for enterprise workflows. These releases coincide with a $285 billion drop in software stocks amid fears of AI disrupting traditional SaaS vendors.

AI coding agents from companies like OpenAI, Anthropic, and Google enable extended work on software projects, including writing apps and fixing bugs under human oversight. These tools rely on large language models but face challenges like limited context processing and high computational costs. Understanding their mechanics helps developers decide when to deploy them effectively.

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South Korea's internet giants Naver and Kakao, after overhauling their AI businesses in 2025, are accelerating efforts to redefine search and messaging services through agentic AI in 2026. Naver plans to integrate services via its Agent N, while Kakao focuses on a closed-loop ecosystem centered on KakaoTalk. Both aim for AI agents that understand user intent and execute tasks autonomously.

Humanoid robots capable of household chores and industrial work are nearing widespread availability, driven by American innovators like Tesla and Agility Robotics. These machines, resembling humans in form and function, promise to handle mundane jobs from folding laundry to flipping burgers. Experts predict their integration into daily life as a natural step in automation.

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OpenAI is shifting resources toward improving its flagship chatbot ChatGPT, leading to the departure of several senior researchers. The San Francisco company faces intense competition from Google and Anthropic, prompting a strategic pivot from long-term research. This change has raised concerns about the future of innovative AI exploration at the firm.

China’s Zhipu AI launched its new major model GLM-5 on February 12, 2026, positioning it as a challenge to rivals. The model marks a shift in AI development from ‘vibe coding’ to ‘agentic engineering’ for enhanced performance.

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At the Game Developers Conference 2026 in San Francisco, generative AI tools drew mixed reactions, with demos from Google highlighting potential uses amid widespread developer skepticism. A recent industry report showed 52% of companies using the technology, but only 36% of workers incorporating it into their jobs, and 52% viewing it as harmful to the sector.

 

 

 

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