The end of tokenmaxxing – and what comes next

The rise and fall of tokenmaxxing has been dramatic, not least because of how quickly it happened. From a darling of CEOs wanting to show how AI-forward they are to a balance sheet nightmare, the journey this particular strategy for measuring AI lasted mere months before its star started to fade.In this episode of the ITPro Podcast, Jane and Bobby are joined by Frank Böhmer, CEO of Ninox, to talk about what prompted the trend in tokenmaxxing, why it fell apart, and what comes next.Could rising token costs boost interest in on-premises hardware?Uber’s eye-watering AI bill shows enterprises are still measuring AI success through consumption rather than outcomes’IT leaders are being stung by "unexpected" AI costsThe AI pricing time bomb‘What we’re seeing right now is just rapid escalation in AI token spend’: Accenture tells staff to stop using AI for unnecessary tasks amid surging costsSurging AI costs could exceed developer salaries by 2028 – analysts say context engineering could be the key to optimizing token consumptionCompanies are regretting investing in generative AI so quickly – here’s how to avoid buyer’s remorseImage credit: Getty Images