AI is moving faster than your 2026 strategy

If you feel like AI has shifted from quarterly updates to weekly leaps, you’re not imagining it. The past month alone delivered another surge in model acceleration, and the ripple effects for organisations are far bigger than most leaders realise. 

We’re seeing a new competitive landscape take shape. On one side, OpenAI rolled out GPT-5.1, Anthropic launched Claude Opus 4.5, and Google pushed Gemini 3. On the other, China’s rapid rise in open-source models is reshaping expectations about cost, accessibility and speed. Somewhere between these extremes sits every boardroom now asking the same question: ‘How do we plan for a future that keeps rewriting itself?’ 

What caught our attention this month isn’t just the technology – it’s the widening gap between companies that are actually benefiting from AI and those still tinkering at the edges. Despite unprecedented capability growth and a 280x drop in inference costs, 95% of enterprise AI initiatives are still failing, and the research behind why may come as a surprise. It has far less to do with algorithms, and far more to do with leaders. 

In our deep-dive analysis, we explore the behaviours that separate the 5% of organisations achieving transformative results from the 95% stuck in pilot purgatory. You’ll learn why the highest performers aren’t the ones with the biggest budgets, they’re the ones willing to rethink how work actually gets done.  

If you want the full analysis, including the three pillars every 2026 strategy must account for and the questions every executive team should ask before scaling, subscribe to unlock the complete newsletter. 

The organisations winning with AI aren’t waiting for the future to settle, they’re building the system that will let them reinvent it – quarter after quarter.