AI Resilience Report forBusiness Continuity Planners

Right now, AI is mostly augmenting business continuity planners rather than replacing them. According to the Disaster Recovery Journal ^[1], AI acts as both a data "collector and filter," analyzing information from security alerts, operational reports, and internal communications to highlight trends and anomalies that signal risk, prioritizing those which require immediate attention. In real practice, planners are using AI to speed up the paperwork-heavy parts of the job — like drafting reports, reviewing existing plans, and summarizing test results.

A Continuity Insights guide ^[2] describes how machine-learning models can now predict where floods, cyberattacks, or outages might strike, and even trigger automated failover of IT systems. McKinsey goes further ^[3], arguing that resilience is no longer about responding to failure as it happens; it's about forecasting potential incidents before they materialize and enabling infrastructure to self-heal, with agentic AI adept at this automated predict-and-fix work. But the DRJ author is clear: AI's growing role in business continuity is less about automation alone and more about helping organizations build the agility and operational resilience that modern crises increasingly demand.

Adoption is happening, but carefully. The Business Continuity Institute reports ^[4] that Australia's financial regulator APRA warned in April 2026 that governance, risk management, assurance, and operational resilience practices are failing to keep pace with the rapid adoption of artificial intelligence across regulated entities — a big reason companies still want humans in charge of critical plans. Deloitte's 2026 State of AI survey ^[5] also found that only 25% of respondents have moved 40% or more of their AI pilots into production, showing that scaling is slow.

On the plus side for young workers, the World Economic Forum highlights ^[6] that human-centric skills such as creativity, innovation and adaptability are the hardest to automate and valued by employers — exactly the judgment calls continuity planners make during a real crisis. So while AI will handle more of the routine drafting and monitoring, the human role of thinking clearly under pressure looks safe for a while.