Bill Sparks opens a new series on how the old branding playbook broke — and what's replacing it.

Bill Sparks asks whether the AI boom is a bubble waiting to pop — and lays out what the hyperscalers pouring hundreds of billions into infrastructure still have to prove before the checks stop clearing.

Bill Sparks steps inside the CAA Vault where Hollywood's most powerful agency scans its own clients down to the smallest change of expression.

Alex Zanardi chose to live fully when circumstance took everything. Four stories about truth and learning. One question. Paul Pfanner asks what are you doing with more learning power than any point in human in history?

Bill Sparks examines Claude Mythos Preview — Anthropic's most powerful AI model, withheld over cybersecurity fears — and what its six-to-eighteen-month window means for every organization connected to the internet.

The assumption that held media together for 40,000 years is no longer guaranteed. Paul Pfanner on what ended, what it means, and what the only surviving business actually is.

Bill Sparks introduces Algorithmic Meta-Capital — the strategic asset class that determines whether your organization exists in the AI decision-making loop or has already been written out of it.

The word came first. The data followed. Nine years after Paul Pfanner coined Distribuption to describe what was coming for media, it has arrived — and the organizations that still don't have a name for it are already losing something they can't identify.

Paul Pfanner spent decades inside motorsport media — and watched the infrastructure around independent journalism quietly thin. In Suzuka last Thursday, Max Verstappen walked through a door that was already open. What fills that space looks like coverage. It isn't.

One truth stands out from a lifetime of decisions made under pressure with immediate consequences. The future isn't something you wait for. The leaders who know that are already moving.

Companies are already experimenting with algorithmic leadership and the results are more complicated than the headlines suggest. There is still something the machine cannot do. It matters most when things go wrong.

AI is getting better at answering questions at a pace no human can match. The harder question is what's happening to our ability to ask them. That gap has consequences no algorithm will flag.

Everyone says the future belongs to whoever moves fastest. Racing has always known something different. In the AI era, confidence is outrunning understanding — and that gap has a cost.