Project delivery in a constantly changing World
Subjects that will influence various types of industry and will be major disruptors in years to come.
As AI control becomes more capable of managing complex systems its tempting to remove human inefficiency by automation. High-stakes industries prove “deliberate inefficiency” isn’t waste—it’s a vital safety mechanism. This post discusses why relying solely on automation creates dangerous blind spots, and how keeping “hands on the controls” prevents catastrophic failures in complex projects.
In something akin to a Jedi mind trick frontier AI models have managed to escape the constraints their human masters thought were in place. What actually happened and what does this mean?
Microsoft’s AI just found 16 critical security flaws in Windows — before any human did. It used a five-stage pipeline with 100+ specialised agents: map, scan, challenge, deduplicate, prove. Sound familiar? It should. It’s everything a great stage gate process is supposed to do. Just faster. And it never gets tired.
What if an AI could find critical flaws in your systems that human experts missed for 27 years — for $50? That’s no longer hypothetical. Steve Gibson calls it the biggest shift in security history. Here’s what every leader needs to understand before adversaries get the same capability.
AI just found 15 out of 16 zero-day vulnerabilities in OpenSSL—the most critical encryption library on the internet. We’re at a tipping point. AI is both securing our systems AND flooding bug bounties with spam. What does this mean for technology leaders? My summary of this development explores the shift every technology leader needs to understand.
AI is transforming project management from reactive task coordination to strategic leadership. Soon predictive analytics, autonomous resource allocation, and proactive risk management will handle the heavy lifting—freeing PMs to focus on what humans do best: leading teams, navigating complexity, and making strategic decisions. Augmentation, not replacement.
Dashboards show what changed, not why. Metric Trees solve this: they break your North Star Metric into clear drivers and levers, turning panic into structured investigation. Teams trace issues to root causes and act with confidence. Stop guessing. Build a Metric Tree.
Robotics and artificial intelligence (AI) have come a long way in 2025. Thanks to new learning techniques, today’s robots are picking up skills faster than ever. This opens the door to exciting changes—both in...
We have seen AI innovation moving at a breathtaking pace, in the first few months of 2025. With Nvidia chip announcements and innovations in robot technology, Deepseek has disrupted the Western AI cost model....
At the start of 2025, we observed new approaches to robotics and AI model training from Nvidia. This technology promises to be game-changing. However, we witnessed something unexpected with the release of DeepSeek’s R1...
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