On September 14th, the controversy surrounding cutting-edge model security led to a significant divergence in AI trading: the Philadelphia Semiconductor Index fell 5.2%, while the software ETF outperformed the semiconductor ETF by 10.67 percentage points in a single day, setting a new record. While chip, computing power, and model expansion can be delayed due to regulatory or return-rate pressures, AI agents already integrated into enterprise systems will continue to expand the attack surface, bringing risks such as prompt word injection, unauthorized operations, data breaches, and shadow agents. Therefore, identity and access control, runtime protection, AI governance, and continuous monitoring are considered essential, non-negotiable budget priorities. Palo Alto stated that AI has reduced the time from vulnerability discovery to exploitation from days to hours; CrowdStrike's newly launched Falcon Guardian directly tracks and restricts the actual behavior of AI agents on endpoints. The core shift reflected is that the market is beginning to worry about a slowdown in "money for building AI," while simultaneously increasing the valuation of "money for protecting AI."
