PagerDuty Executive Chair Jenn Tejada told Forbes on July 2, 2026 that AI is shifting from experimental use into production and warned that agentic systems introduce failure modes like model drift, which is harder to detect than a traditional software crash because symptoms surface only after an agent has already taken multiple flawed actions. She pointed to record hyperscaler AI infrastructure spending, estimated near $725 billion for 2026 according to BNP Paribas, as evidence of how fast this shift is happening, and argued that AIOps platforms need to monitor AI agents alongside conventional infrastructure so humans can intervene before a small failure compounds into an outage like the one that hit AWS in October 2025. For engineering and SRE teams building agentic workflows, her core point is practical: instrument for drift now, because agent failures do not announce themselves the way a crashed service does.
