Agentic AI Hits Breakout Year – The Next Research Trend I’ve Captured

Over the past few years I have been tracking the development of agents , and 2026 is widely regarded as the Agentic AI breakout year, with research exploding and Codex emerging as a flagship example.

According to the latest arXiv statistics, the total number of agent‑related papers has reached roughly 9,000 , with more than 99% published after 2023; monthly additions average about 1,000 papers , and the total volume has nearly tripled in the past year.

Reviewing this year’s top conferences shows the prominence of agent research: among the 247 workshops accepted at ICML 2026 , 60 directly address “agentic AI,” accounting for about 24% of the program and making agents a core discussion theme.

Staying current is a major challenge; the most published direction is the use and engineering of agent tools, while agent safety and alignment are the fastest‑growing topics, with 29% of Black Hat USA 2026 sessions focusing on AI‑agent security.

To help researchers, I have compiled a 324‑paper collection of high‑quality agent papers from 2026 conferences and journals, organized by sub‑areas such as memory, safety, evaluation, reasoning, and multi‑agent systems.

Many colleagues, including myself, now employ Codex and Claude as “small employees” to automate repetitive research steps—literature search, code experiments, plotting, writing, etc.—potentially saving up to 70% of research time .

I also share a set of 16 skills and thousands of commands that enable full‑process assistance (experiments, writing, polishing, figure generation, top‑journal reproducibility, literature management, empirical analysis, rebuttal preparation). A tutorial and installation package for running Codex skills are bundled together for easy setup.

Finally, using AI agents is merely a means to boost efficiency, akin to using a car instead of walking; genuine innovation, ideas, and hands‑on work remain essential, and researchers should avoid over‑reliance on AI to preserve their own scientific capabilities.