Table of Contents
Quick Answer
- Narrow AI (ANI): focused on a specific task or domain
- General AI (AGI): hypothetical system matching human intelligence broadly
- Superintelligence (ASI): speculative system surpassing humans
Every product shipping in 2026 is narrow AI, even frontier LLMs.
What Do These Terms Mean?
Narrow AI does one thing — translate, recognize faces, play chess — often superhumanly. Artificial General Intelligence would generalize across any intellectual task with human-level flexibility (Stanford Encyclopedia of Philosophy; Stanford HAI, 2024).
AGI remains undefined in practice — there is no agreed benchmark. OpenAI defines it roughly as "economically valuable work across most tasks."
How Each Works
Narrow AI
- Trained on one domain
- Excels within distribution, fails outside
- Cannot transfer skills across very different tasks without re-training
Hypothetical AGI
- Reasons across novel domains
- Learns new tasks from few examples like humans
- Transfers knowledge between unrelated fields
- Likely requires more than just scaling current transformers (per many researchers)
Examples
Narrow AI (shipping today)
- ChatGPT, Claude, Gemini (general-purpose but still narrow)
- Midjourney (images only)
- AlphaFold (protein structure only)
- Waymo self-driving (driving only)
- Recommendation engines
AGI (not yet)
- No deployed example exists in 2026
- Frontier labs claim progress, no verified breakthrough
- Debates continue over whether current LLMs are on a path to AGI
Narrow vs General vs Super
| Level | Status | Example |
|---|---|---|
| Narrow (ANI) | Widely deployed | All 2026 AI |
| General (AGI) | Unverified, actively researched | None |
| Super (ASI) | Speculative / science fiction | None |
Are Modern LLMs "General"?
LLMs are broad narrow — good at many tasks across text but still brittle, hallucinate, and fail at planning. Researchers disagree on whether they are early AGI or a different path entirely (Yann LeCun, Geoffrey Hinton, Anthropic safety papers, 2024-2026).
When These Terms Matter
- Policy and regulation (EU AI Act defines "general-purpose AI models")
- Safety research (alignment, catastrophic risk)
- Investor narratives (frontier labs claim AGI roadmaps)
- Academic debates
Conclusion
Treat "AGI" claims with skepticism — real products are narrow AI, and narrow AI is already transformative. More on Misar Blog.