Long-form pieces on AI diagnosis, runtime governance, the advisory-to-execution shift, and what organisations discover when they finally stop and look. Published as the LinkedIn sequence progresses.
x402 gives autonomous agents a native way to pay. It is a genuine piece of infrastructure, and it arrives with a question attached: once an agent has paid for an action and carried it out, what record exists of what actually happened, under whose authority, that someone could verify later. Settlement is not evidence. This is the next problem.
→ Read the pieceMcKinsey tested twenty-five organisational factors. Only one predicted whether AI delivered meaningful business results. It was not the model, the data, or the size of the investment. It was whether the organisation had redesigned its workflows before deploying AI. Only twenty-one per cent had done so.
→ Read the pieceMost organisations do not have an AI tooling problem. They have an AI diagnosis problem. Capability is being explored before applicability is properly understood.
→ Read the pieceAI is no longer a technology question. It is a trust question. The organisations that succeed over the next twelve to twenty-four months will not be the fastest adopters; they will be the ones whose AI decisions still stand up when scrutiny inevitably arrives.
→ Read the piece