Courts have ruled that training AI on legally obtained works of art is fair use. The big question is, how will this impact the future of the creator economy?

Bill Sparks explores why artists and workers aren't waiting for the law to catch up. They're fighting back — pixel by pixel, data set by data set — and their tools are getting better.

Technological or cultural changes can obsolete business models. And new ideas can be rejected straight out of the gate. When these things happen, it's time to pivot. Bill Sparks examines the tricky art of reinvention.

An uncomfortable reality is that the pursuit of volume has started to generate diminishing returns. Bill Sparks observes that in many sectors, it's actively destroying value.

On the anniversary of RACER's launch at the Long Beach Grand Prix in 1992, Paul Pfanner reflection on what it costs to build something that lasts — and what it teaches you.

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.

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.

Bill Sparks diagnoses the invisible force that defeats most transformation initiatives — and gives you the framework to work with it instead of against it.

Modern neuroscience has demolished the myth of the creative genius — and replaced it with something more useful: a system you can actually train. Bill Sparks explains what separates the people who do it consistently from everyone else.

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.

Every era has a moment when the future stops being theoretical and starts moving. Leaders who think they're keeping pace may want to reconsider. Are you moving — or just reacting?