2025 in AI: The Year Models Became Agents
A journey through the most important AI milestones of 2025: from GPT-5 to Claude Opus 4.5, the agent wars, and what to expect in 2026.
2025 will be remembered as the year AI went from just “answering questions” to systems that execute tasks. Let’s take a journey through the moments that defined the year.
The Models That Marked 2025
November-December: The Avalanche
In just 4 weeks, four giants launched their most powerful models:
| Date | Model | Company | Main Innovation |
|---|---|---|---|
| Nov 17 | Grok 4.1 | xAI | Humor and reasoning |
| Nov 18 | Gemini 3 | Deep Think | |
| Nov 24 | Claude Opus 4.5 | Anthropic | Autonomous agents |
| Dec 11 | GPT-5.2 | OpenAI | Response to competition |
OpenAI’s “Code Red”
Sam Altman issued an internal “code red” memo in December after:
- Gemini 3 led benchmarks
- Claude gained enterprise market share in code
- ChatGPT lost 6% of traffic
This moment revealed that OpenAI is no longer the undisputed leader.
The Code Agent War
2025 was the year AI went from suggesting code to writing it autonomously:
| Tool | 2025 Milestone |
|---|---|
| Claude Code | $1B+ in annual revenue |
| GitHub Copilot | 2M+ subscribers |
| Cursor | Series B round at $1B+ valuation |
| Codex | Specialized GPT-5.2-Codex |
The Birth of Checkpoints
Anthropic introduced checkpoints in Claude Code 2.0, allowing:
- Save state before each change
- Revert with Esc+Esc
- Experiment without fear
This changed the trust dynamic between developer and agent.
The Agentic AI Foundation
Perhaps the most significant moment: competitors joined to create open standards.
Founders
- OpenAI: Agents.md (specification for describing codebases)
- Anthropic: MCP Protocol (communication between agents)
- Block: Goose framework (open source agent)
The “USB-C of AI”
Anthropic’s MCP (Model Context Protocol) is being described as the potential universal standard for connecting agents with the digital world.
Before: Each agent has its own integration
Now: One standard protocol for all
Acquisitions That Shook the Market
Nvidia + Groq ($20B)
Nvidia’s largest acquisition consolidated its dominance in:
- Training: GPUs
- Inference: Groq’s LPUs
Anthropic + Bun
Anthropic acquired the JavaScript runtime that generates $1B/year, strengthening its development stack.
Disney + OpenAI Sora
Disney signed an agreement to allow video generation with 200+ characters from its franchises.
IPOs on the Horizon
Anthropic hired Wilson Sonsini to prepare for a 2026 IPO:
- Potential valuation: $300B+
- Completing internal checklists
- Possible new round before IPO
Reality vs. Hype
What They Promised
“2025 will see the first AI agents join the workforce” - Sam Altman
What Happened
Upwork study (November 2025):
- Agents from OpenAI, Google, and Anthropic
- Failed to complete simple work tasks
- Far from being “digital employees”
The Hype Correction
MIT Technology Review declared 2025 as the year of the “Great AI Hype Correction”:
- Expectations adjusted to reality
- Focus shifted from AGI to practical applications
- Companies prioritized ROI over innovation
The 14 Terms That Defined 2025
According to MIT Technology Review:
- Agentic AI - AI that takes actions
- MCP - Model Context Protocol
- Checkpoints - Saved states to revert
- Inference at the edge - AI on devices
- Multimodal - Text, image, video, audio
- Context window - How much the model remembers
- RAG - Retrieval-Augmented Generation
- Fine-tuning - Model customization
- Prompt engineering - (Started to die)
- AI agents - Autonomous systems
- LPU - Language Processing Unit
- Synthetic data - AI-generated data
- AI safety - Model security
- Model collapse - Degradation from training on AI
What We Learned
For Enterprises
- There’s no single winner: Multi-model is the strategy
- Agents aren’t ready: But they’ll arrive soon
- Governance is critical: Before it’s too late
- Talent remains scarce: Invest in your team
For Developers
- Learn to work with agents: Not against them
- Understand the limits: Don’t delegate what you can’t verify
- Checkpoints are your friend: Experiment with a safety net
- Code still matters: Agents need context
Predictions for 2026
| Area | Prediction |
|---|---|
| Agents | 40% of enterprise apps will have them |
| Models | GPT-6, Claude 5, Gemini 4 |
| Regulation | EU will fully implement AI Act |
| Code | Agents will write 50%+ of new code |
| IPOs | Anthropic, possibly OpenAI |
Conclusion
2025 was the year when:
- Competition intensified
- Agents started working
- Hype was (partially) corrected
- Standards began to emerge
2026 promises to be the year all of this goes to production.
Want to prepare your company for the AI agent era? Let’s talk about technology strategy and roadmap.
Sources
- → MIT Technology Review - AI Wrapped: The 14 AI terms of 2025
- → MIT Technology Review - The great AI hype correction of 2025
- → CNBC - OpenAI Code Red: Google, Anthropic gain ground
- → Tom's Hardware - Agentic AI Foundation: Microsoft, Google, OpenAI, Anthropic alliance
- → Vertu - AI Model Releases Nov/Dec 2025 Comparison
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