Articles
May 2026 AI Insights
The AI challenge is no longer about choosing the right technology – it’s about redesigning how the business operates.
As AI capabilities mature and become more accessible, competitive advantage will come from an organization’s ability to rethink workflows, operating models, decision-making and workforce strategy. The biggest risk is no longer falling behind on technology, but failing to adapt the business quickly enough to take advantage of it.
Five developments over the past 31 days suggest the price of standing still is rising:
- The race stopped being about which model is better
- The cost case got more confusing, not clearer
- The labor narrative finally moved into the mainstream
- The bottleneck shifted from models to operating models
- AI crossed the line into original scientific discovery
Organizations know they need to move, but many are being held back by two challenges: a leadership understanding gap and a decision-making gap.
Can you describe the AI-first version of your business? If not, you’re already behind – and the challenge is organizational, not technological.
Subscribe for the full insights, where we unpack the five shifts shaping the AI landscape, what they reveal about the future of work and business and why organizational capability is emerging as the defining factor in capturing value from AI.
You may also like
Articles
Real AI execution starts when leaders redesign the factory
Articles
Your technology is not your moat – your operating system is
Articles
Moving from AI-enablement to AI-shaped – The importance of intentionally shaping your operating model for AI
Articles
Operational alpha is back in PE, and most value creation plans are already out of date
Articles
From automation to physical intelligence: why robotics is becoming an operating model and data question
Articles
How to set your organization up to successfully embrace the power of AI
Articles
The next competitive advantage isn’t AI, it’s disciplined experimentation



