We have all done it. You are at an airport waiting for a flight. Your train journey is going to take another two hours. You have just checked into a hotel, or perhaps you are sitting in a café trying to get some work done. Your mobile signal isn't great, so you look at the available networks and see exactly what you need: free Wi-Fi.
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Sustainability reporting used to be a document. At many large companies, it is now an institution, with its own staff, calendar, controls, and internal audit trail. The 2026 edition of the State of Play study from the IFAC, AICPA, and CIMA found that 97 percent of the world's largest companies disclosed some form of sustainability information in 2024, and 75 percent obtained some level of third-party assurance over it, up from 73 percent the year before and just 51 percent in 2019, the first year the study ran.
Most organizations know what they would do if a critical system went down. There are incident response plans, disaster recovery arrangements and business continuity procedures designed for exactly that scenario. But there is another question we don't ask nearly as often: What happens if the technology hasn't failed, but your organization can no longer use it?
The World Economic Forum’s new Risk Management, Reimagined: Outlook to 2035 is one of the more thoughtful critiques of traditional risk management I have read in some time. It also stops one important step short.
In risk management, we tend to obsess over black swans. Rare, unpredictable, high impact shocks that arrive without warning and rewrite the narrative overnight. Yet most organizational failures are not born from surprise. They emerge from visible, accelerating threats that were identified, debated, scored, and then quietly deprioritized because mitigation was inconvenient, expensive, or politically uncomfortable. These are gray rhinos. High probability, high impact risks charging directly at the organization. The breakdown is not foresight. It is governance.
There is a point in any FedRAMP program when the conversation has to leave the whiteboard. The target date is on the calendar. The evidence exists somewhere, though perhaps not in the form the new model expects. Controls are operating, responsibilities are divided among teams, and someone has to determine how much of what already exists can make the move to 20x.
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