artificial-intelligence trends recap development

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.

N
Nextsoft
5 min read

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:

DateModelCompanyMain Innovation
Nov 17Grok 4.1xAIHumor and reasoning
Nov 18Gemini 3GoogleDeep Think
Nov 24Claude Opus 4.5AnthropicAutonomous agents
Dec 11GPT-5.2OpenAIResponse 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:

Tool2025 Milestone
Claude Code$1B+ in annual revenue
GitHub Copilot2M+ subscribers
CursorSeries B round at $1B+ valuation
CodexSpecialized 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:

  1. Agentic AI - AI that takes actions
  2. MCP - Model Context Protocol
  3. Checkpoints - Saved states to revert
  4. Inference at the edge - AI on devices
  5. Multimodal - Text, image, video, audio
  6. Context window - How much the model remembers
  7. RAG - Retrieval-Augmented Generation
  8. Fine-tuning - Model customization
  9. Prompt engineering - (Started to die)
  10. AI agents - Autonomous systems
  11. LPU - Language Processing Unit
  12. Synthetic data - AI-generated data
  13. AI safety - Model security
  14. Model collapse - Degradation from training on AI

What We Learned

For Enterprises

  1. There’s no single winner: Multi-model is the strategy
  2. Agents aren’t ready: But they’ll arrive soon
  3. Governance is critical: Before it’s too late
  4. Talent remains scarce: Invest in your team

For Developers

  1. Learn to work with agents: Not against them
  2. Understand the limits: Don’t delegate what you can’t verify
  3. Checkpoints are your friend: Experiment with a safety net
  4. Code still matters: Agents need context

Predictions for 2026

AreaPrediction
Agents40% of enterprise apps will have them
ModelsGPT-6, Claude 5, Gemini 4
RegulationEU will fully implement AI Act
CodeAgents will write 50%+ of new code
IPOsAnthropic, 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.


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