PERSPECTIVES

Most organisations aren’t failing at AI technology—they’re failing at AI transformation strategy. This piece unpacks how culture, capability gaps, and misaligned execution create a compounding loop that stalls AI adoption. The real challenge isn’t tools, but whether the organisation is designed to absorb and scale AI-driven change.

AI didn't just automate tasks. It quietly dismantled the apprenticeship model that built every leadership pipeline we know. Junior professionals no longer grind through the work that builds judgement. Outputs look sharp. Thinking is shallow. Faster execution is masking a hollowing out of leadership depth — and most organisations won't notice until it's too late.

The world’s largest tech and retail players—Google, Walmart, Shopify, and Visa—are reshaping how digital commerce works. Their launch of the Universal Commerce Protocol (UCP)  signals a transition into what can be called the execution economy : an era where AI agents don’t just influence decisions—they complete transactions . UCP is an open standard  designed to let AI agents interact with a retailer or brand’s commerce systems. In practical terms, an agent can: discover prod

There’s a pattern I’ve noticed in AI discussions with business leaders. The energy is real, the intent is strong, and the conversations...

In a move that signals the next wave of disruption across professional services, LegalZoom has partnered with GenAI platform Perplexity...

When it comes to AI-driven insights, the way we prompt or guide an LLMs responses can significantly impact the quality, depth, and applicability of information generated. This report examines two distinct prompting approaches: single-expert prompting, which uses a prompt to elicit insights from a single expert perspective, and multidisciplinary prompting, which invokes  multiple expert perspectives on the same topic to provide a comprehensive view.