Organisations across Asia Pacific are losing an average of US$300 million annually from downtime incidents, according to new research from Splunk, a Cisco company, and Oxford Economics — with nearly half reporting that incorrect AI-driven automation has directly caused service degradation or outages.
AI Adoption Is Outpacing Operational Readiness
The study, The Hidden Costs of Downtime, finds that 41.1 per cent of APAC organisations say AI adoption has increased their overall downtime risk, even as 85 per cent are simultaneously increasing investment in AI-driven security automation. Half of organisations report having experienced downtime or service degradation caused by incorrect AI-driven automation — a finding that points to a widening gap between the speed of AI deployment and the maturity of enterprise governance frameworks around it.
At the global level, aggregate downtime costs for Global 2000 companies have surged to US$600 billion annually — a 50 per cent increase in just two years. The average cost of a downtime incident has reached US$15,000 per minute, with organisations losing US$95 million in revenue annually on average. A single downtime event produces an average 3.4 per cent drop in shareholder value.
The Hidden Costs Beyond Revenue
Downtime triggers a cascade of secondary costs that compound its financial impact. Ransomware payouts have nearly tripled since 2024, now averaging US$40 million. Regulatory fines average US$51 million per organisation, with 57 per cent of technology executives viewing these as very or prohibitively disruptive. Meanwhile, 81 per cent of technology leaders cite customer loss as a consequence of downtime, and nearly 20 per cent of marketing professionals report that it takes an entire quarter to recover brand health after a major incident.
Data breach disclosure has emerged as the most feared hidden cost: 71 per cent of technology executives rate it as very or prohibitively disruptive, up dramatically from 23 per cent in 2024 — reflecting the growing severity of regulatory and reputational exposure from security incidents.
AI Expertise Correlates with Resilience
The report identifies a cohort of organisations classified as “AI Workflow and Triage Experts” — those deploying AI specifically for incident triage and root cause analysis — that are significantly more resilient. Seventy-four per cent of these organisations avoided publicly disclosing a data breach last year, compared to 54 per cent of non-experts. They are also nearly three times more likely to have never lost a customer due to downtime.
Despite this, 68 per cent of technology leaders express concern that their AI agents will behave unpredictably, underscoring the need for governance frameworks and human-in-the-loop oversight as organisations scale autonomous systems. The median annual spend on AI tools for downtime prevention and response stands at US$24.5 million.
“The most resilient organisations are not the ones with the most tools or the biggest vision for AI. They are the ones that align technology with business outcomes, empower people with context, and design systems that bend, but do not break, under pressure,” said Kamal Hathi, SVP and GM at Splunk.
