Mark Zuckerberg's internal announcement on Friday about a “large” companywide AI hackathon next month quickly sparked frustration and disbelief among Meta employees, according to internal messages seen by WIRED. The plan, which the CEO framed as a way to build camaraderie amid widespread internal unrest, instead highlighted deep tensions between management and a workforce still reeling from recent mass layoffs.
Employee Backlash on Internal Channels
In messages and comments on Meta's internal platforms, workers expressed that added responsibilities following the layoffs left them with little time for ancillary activities. One employee wrote on Friday: “I'm literally preoccupied with keeping the lights on for my team. I have no incentive to participate, let alone have the time to do so.” Another said, “I honestly don't have the time to focus on this, and I'm expected to be 100% devoted” to regular work, adding that previous hackathons were feasible but now “this no longer feels like an option alongside pod sprints in my corner of the company.”
Ime Archibong, vice president of product management, shared additional details about the event, which he said would take place from July 14 to July 16 and focus “exclusively on AI Innovation.” His post drew swift pushback, including angry messages and sarcastic memes. One employee commented: “I'm not sure that this company supports a hackathon culture anymore,” a post that drew more than 200 thumbs-up and heart reactions. The same employee alleged that hackathon efforts would not count toward performance evaluations, fueling frustration about setting aside other projects. Another staffer called out “a disappointing change in culture” because “I don't believe there is sufficient feeling of safety to spend time on hackathon innovations.”
Dozens of people reacted with laughs and thumbs-up to a meme inspired by the comedy film We're the Millers that stated: “You all have the time for a hackathon?”
Timing and Layoffs Context
Meta has long hosted internal hackathons, but two sources told WIRED this is the first companywide one to take place since 8,000 people were laid off last month. A Meta software engineering veteran responded to complaints by saying everyone is encouraged to participate, but an employee retorted: “Every org I know has super aggressive goals, with efficiency gains expected and significantly less staffing. There's less time for focusing on other axis.”
| Key Employee Reactions | Source Detail |
|---|---|
| "I'm literally preoccupied with keeping the lights on for my team." | Employee comment on Friday, per WIRED |
| "I'm not sure that this company supports a hackathon culture anymore." | Comment with 200+ reactions |
| "I've participated in previous hackathons but this no longer feels like an option." | Employee citing pod sprints |
| "Every org I know has super aggressive goals... less time for focusing on other axis." | Response to veteran |
Management's Response and Other Initiatives
The hackathon was one of several initiatives Zuckerberg laid out on Friday to reenergize his workforce and address internal criticism about the layoffs. He said budgets for team offsites would increase and that the concept of hot desking—workers only in the office part of the time sharing desks—would be eliminated in some offices. Last year, some workers surveyed colleagues about the removal of their desks and the chaos and lost productivity they believed it caused, according to a person familiar with the efforts. The group urged management to return to every employee having their own space. The layoffs appear to have opened up room, while leaving less time to hack.
Meta declined to comment for this story.
Implications for Enterprise AI Culture
For enterprise technology leaders, the internal strife at Meta underscores a critical challenge: deploying AI initiatives without draining already-stretched teams. When staff associate AI projects with added burden rather than innovation, adoption suffers. The employee pushback—rooted in workload, trust, and recognition—offers a cautionary tale for any organization pursuing rapid AI transformation without addressing underlying morale and capacity constraints.
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