Wikimedia Leader: My AI-Focused Metrics Are 'Exceeded' Before Review

The top boss in charge of volunteer strategy at the Wikimedia Foundation says the review she gets Thursday won’t be hard. That’s because for three years in a row, she already beat every single target they gave her.

"My performance review is Thursday. I am not concerned. I have exceeded every metric for three consecutive fiscal years," wrote @gothburz

. "The metrics are: volunteer re-engagement rate, contributor retention, and quality of onboarding resources." The post didn’t say if those numbers got new AI or automation rules mixed in.

Her words come out the same week tech workers across the country are pushing back hard against AI. Big layoffs and AI rollouts are changing jobs fast. One big fight just started with what could be the biggest tech worker union ever made in the U.S.

"They just formed the biggest tech worker union in the US. Now they take on AI and industry layoffs," wrote @OwenGregorian

. He shared reports about the union’s launch and how it plans to fight the human fallout from AI.

Some people say AI in news and knowledge work will kill good jobs and weaken trust. Others say it just makes things faster. The fight is getting louder as some newsrooms use AI to pump out stories they used to pay humans to write.

"You’re seeing AI used to automate the production of content, not to improve it," wrote @TheZvi

. "The risk isn’t that AI will write better news; it’s that it will write cheaper news—and in doing so, hollow out the institutions that have long served as the public’s eyes and ears." His post pointed to a fresh look at how AI sneaks into editing jobs.

Inside Wikimedia’s world the AI fight is messy too. The site runs on millions of unpaid volunteers who add and check facts. It’s been that way long before AI showed up. Now some wonder if the old measures of volunteer work can stay clean from the push to swap in machines.

"AI is not neutral. Neither are the metrics we use to evaluate human labor," wrote @keepontruckin78

. He linked to a piece that digs into why numbers tied to people aren’t as fair as they look.

The Wikimedia Foundation hasn’t changed its review rules to fit AI yet. The boss’s post makes it clear her numbers don’t depend on any new AI tricks. She’s winning on the same goals that were set years ago.

Still, deeper down, the fight over AI in knowledge work still matters to the people who run Wikipedia every day. When bots start checking edits, translating pages, or even writing drafts, the big question stays the same: Do these tools help or hurt the quality of what volunteers build together?

"The metrics are clear," wrote @gothburz. "Volunteer re-engagement rate. Contributor retention. Quality of onboarding resources. I’ve met or exceeded them all." Her blunt lines show how old-style numbers hold strong even as AI tools grow everywhere—even when those tools aren’t part of the scorecard at all.

Outside experts say that as AI sinks deeper into editing platforms, what counts as "performance" might flip fast. For now the top boss in charge of volunteer numbers at this nonprofit is walking into her review with old-school metrics that haven’t been bent for the AI age.

What’s not clear yet is whether those old metrics can hold up against the bigger forces changing tech jobs. Or if they’ll get rewritten just like so many other roles before them.