
We keep our ear to the ground for the interesting stats, insights and discussion points you need to feel in the know to shape the future with confidence.
Governments around the world are eager to embrace AI but enthusiasm doesn’t always translate into results. Research shows that only about one in four government AI pilots ever make it into production, with many projects stalling before citizens see any real benefit. The most interesting part of this story isn’t the technology itself, but what separates the projects that stick from the ones that disappear. From helping border officers spot risks to giving citizens more control over their data, some governments are proving that successful AI starts long before the first line of code is written.
How governments can take the big AI opportunity
AI is moving past the hype and into the day-to-day. The tools are stronger, the ambition is clearer and leaders are starting to connect AI across the business instead of treating it as a series of pilots. The biggest opportunity is fixing the moments where work slows down, decisions stall and people spend too much time chasing updates. Agentic AI helps reduce that friction. When work flows better, value grows and confidence grows with it.
How agentic AI can help unlock enterprise value at scale
Companies have never had more AI pilots, prototypes and proofs of concept. The harder question is what happens next. Many organizations are discovering that real returns don’t come from layering AI onto existing ways of working, but from rethinking how work gets done in the first place. The good news is that leaders are starting to separate the experiments worth scaling from the ones worth shelving. There may be a way out of the trap after all…
How can you break out of the AI ROI trap?
People are already handing over the keys. Ask them if they trust AI and many will hesitate. Watch what they do and a different story unfolds. More people are letting AI help with purchases, finances and everyday decisions, and some are already letting it act on their behalf. That’s a big shift. Adoption is moving faster than confidence. Trust can’t live in policy documents alone, it has to show up in the experience. Expectations are changing quietly, then all at once, and organizations need to keep pace…
As AI moves from advice to authority, who defines its limits?
Most companies are still using AI to shave a few minutes off a task here and there. Meanwhile, a growing number are handing entire workflows over to AI, from gathering data and spotting anomalies to drafting reports and forecasting performance. The obvious result is a faster finance team. But it also changes who does what, where decisions get made and how work moves across the organization. Bad news for repetitive tasks. Great news for anyone tired of living in spreadsheets.