Alan Greenspan, the man who shaped American economic policy for nearly two decades as Chairman of the Federal Reserve, has passed away at the age of 100. His death marks the end of an era for an intellectual titan whose fingerprints remain on global markets, from the dot-com boom to the 2008 financial crisis. The UK Treasury led international tributes, acknowledging his profound influence on central banking and the transatlantic economic order.
Greenspan's legacy is a study in contradictions: a libertarian student of Ayn Rand who became the world's most powerful bureaucrat, a master of opaque prose who insisted on data-driven policy, and an architect whose creation ultimately revealed its own fault lines. For the tech world, his era was pivotal: his low interest rates fuelled the internet gold rush and the housing bubble that birthed the gig economy. Yet his faith in self-regulating markets now seems almost quaint to a generation raised on algorithmic oversight.
As quantum computing and AI redefine economic modelling, Greenspan's statistical approach feels like the last gasp of a human-centred financial system. The user experience of society today bears his mark: cheap money that built Silicon Valley, but also the inequality that fractures it. His death prompts a question for our industry: what happens when the algorithm replaces the oracle?
