2026년 나머지 AI 트렌드 및 예측
에이전트 AI부터 엣지 배포까지, 2026년 하반기 AI 환경을 형성할 핵심 트렌드.
1. Agentic AI Goes Mainstream
AI agents that can plan, use tools, and execute multi-step tasks autonomously will move from demos to production. Expect more coding agents, research agents, and business process automation.
2. Small Models Get Smarter
The gap between 7B and 70B models continues to shrink. Techniques like knowledge distillation and improved training data are making small models viable for production.
3. Edge AI Deployment
Running models on devices (phones, laptops, IoT) becomes more practical. Apple, Google, and Qualcomm are all shipping dedicated AI accelerators.
4. AI-Native Applications
New applications designed around AI capabilities (not bolted on) will define the next wave. Think: AI-first note-taking, AI-native design tools, AI-powered IDEs.
5. Regulation Accelerates
The EU AI Act enforcement begins. More countries introduce AI-specific regulations. Compliance becomes a competitive advantage.
6. Multimodal Becomes Default
Text-only interfaces become the exception. Most new AI products handle text, images, audio, and video together.
7. AI Safety Industry Emerges
Red-teaming, evaluation, and guardrail services become a billion-dollar market. Every enterprise AI deployment needs safety testing.
8. Open-Source Closes the Gap
Llama, Qwen, and Mistral continue to improve. By end of 2026, open models match proprietary ones on most tasks.
What This Means for Developers
- Invest in understanding agents and tool use.
- Learn to evaluate and fine-tune small models.
- Build with multimodal from the start.
- Stay current on regulation in your market.