2025 AI Trends: The Age of AI Agents

2025: The Year of AI in Action

If 2023 was the ‘shock’ of generative AI and 2024 was a year of ‘exploration’, 2025 is definitively the year of ‘execution’. The keyword that defines the AI market this year is ‘AI Agents’.

What Are AI Agents?

While past AI was a passive assistant that responded to user queries, 2025’s AI has evolved into an active worker that plans autonomously and uses tools to achieve user goals.

Characteristics of AI Agents

Traditional AI	AI Agents
Answers questions	Plans to achieve goals
Simple conversation	Uses tools and executes tasks
Passive responses	Active problem-solving
Single tasks	Complex workflow automation

Global research firms predict that by 2028, over 15% of daily business operations will be handled autonomously by AI agents.

Major AI Company Updates

1. OpenAI (ChatGPT)

OpenAI has elevated complex problem-solving capabilities with its o1 series, maximizing reasoning abilities for math and coding challenges.

The Operator feature, unveiled in January 2025, marks a turning point where ChatGPT transcends being a conversational AI to become an ‘executable AI’ that can directly control users’ computers and complete tasks.

2. Anthropic (Claude)

Anthropic’s Claude has emerged as the top performer on SWE-bench, with Claude Opus 4 recognized for exceptional coding abilities.

In the text generation AI market, OpenAI and Anthropic together command approximately 85% market share.

3. Google (Gemini)

Google’s Gemini 2.5 Pro demonstrates strength in multimodal capabilities, with Veo2 leading the video generation market at 39.8% share.

Key Technology Trends for 2025

1. Multimodal AI Expansion

Multimodality has become a crucial trend this year. Multimodal AI can understand and generate text, images, audio, and video simultaneously.

Gartner predicts that 40% of next-generation AI solutions will be multimodal by 2027, up from just 1% in 2023.

2. Evolution from RAG to GAR

RAG (Retrieval-Augmented Generation): Generates new answers based on retrieved information
GAR (Generation-Augmented Retrieval): AI intelligently performs the search process itself to find optimized information

3. Rise of Smaller Models

Rather than massive monolithic models, the focus is shifting to relatively smaller models with more training data, expanding overall system architecture.

4. Image/Video Generation AI

Image Generation:

Imagen3: 28.7% (1st place)
FLUX models: Rapid growth
DALL·E-3: Declining from 2024 dominance

Video Generation:

Google Veo2: 39.8% (1st place)
Runway: 31.6% (2nd place)

AI Coding Assistants

2025 has seen explosive growth in AI coding assistant adoption:

GitHub Copilot: Most widely used
Cursor: Growing popularity as an integrated editor
Claude Code: Anthropic’s specialized coding tool
Amazon CodeWhisperer: AWS ecosystem integration

Developers are beginning to feel that coding without AI is inefficient.

AI Usage Tips

Using AI in Daily Life

Document Writing: Email, report drafting
Coding Assistance: Bug fixes, code review
Learning Aid: Concept explanations, quiz generation
Creative Work: Idea brainstorming

AI Tool Selection Guide

Purpose	Recommended Tool
General conversation	ChatGPT, Claude
Coding/Development	Claude, GitHub Copilot
Image Generation	Midjourney, DALL·E
Video Generation	Veo2, Runway

Conclusion

2025 marks the year AI begins to establish itself as a true work partner beyond being just a tool. With the advancement of AI agents, our way of working is fundamentally changing.

The key is not to fear or blindly trust AI, but to learn how to use it wisely. AI doesn’t replace our capabilities—it expands them.