AI systems are infiltrating workflows all across the world of business, likely compelling companies and their HR teams to drive employee AI adoption and usage thoughtfully, without blowing through entire AI budgets. Measuring what constitutes success is becoming a growing question for business leaders and people pros. “Everything is being redefined through AI, but in particular, how every company runs in terms of [an] operating model,” Laura Gonzalez Florez, AI-powered video platform Synthesia’s chief of staff and head of people, said. “For me, it’s not a systems-only problem, it’s a systems, it’s a people, and it’s a workflow problem.” Pricing for the new technology is evolving into a pay-per-use service, with AI tokens serving as units that vendors use to represent the work being processed by large language models (LLMs). In recent months, some companies—and unsanctioned employees—designed leaderboards and trackers that monitor token use, encouraging some to maximize their token use, known as tokenmaxxing. For Synthesia, tokenmaxxing didn’t stick. Like, at all. For more on why Synthesia values AI impact more than usage, keep reading here.—AD |