Stanford’s 2026 AI Index report contains a number that should stop everyone in their tracks. According to Terminal-Bench, the success rate of AI agents handling real-world tasks jumped from 20% in 2025 to 77.3% in 2026. In cybersecurity specifically, AI agents now solve problems 93% of the time — up from 15% in 2024. That’s not incremental improvement. That’s a phase transition.

The same report notes that frontier AI models now meet or exceed human performance on PhD-level science questions, multimodal reasoning, and competition mathematics. Generative AI reached 53% global population adoption within three years — faster than the personal computer or the internet. The estimated value of AI tools to US consumers hit $172 billion annually by early 2026, with the median value per user tripling in a single year.

The gaps are equally revealing. AI still struggles with learning from video, coherent video generation, multi-step planning, and household chores — robots succeed at real domestic tasks only 12% of the time. The picture is not “AI can do everything.” It’s “AI can do specific things extraordinarily well, and the list is expanding faster than anyone predicted.”