Meta's ambitious AI-driven workforce overhaul, known as Project GT, is struggling to gain traction inside the company. The project faces pushback from employees and technical shortcomings that are slowing its rollout.
What Project GT is meant to do
The initiative is designed to embed artificial intelligence more deeply into how the company operates, reshaping tasks across teams. But exactly how the AI will integrate with existing jobs and processes has become a point of tension.
Meta has not offered a full public breakdown of the plan, but the internal focus has been on using AI to handle certain responsibilities and guide decision-making. The ambition is clear, but the path is turning out to be bumpier than expected.
Why employees are pushing back
Staff are hesitant about what the AI shift means for their daily work and long-term roles. Some worry that the new systems could disrupt established routines or make certain positions feel redundant. The mood appears to be one of uncertainty, not outright revolt, but enough to stall momentum.
The resistance isn't necessarily loud or organized. It's quieter: missed deadlines for training, reluctant adoption of new tools, and teams choosing to stick with old processes where possible. That kind of friction can eat away at a project's progress.
Technical limitations that aren't going away
On the tech side, the AI tools have not been delivering as smoothly as hoped. Engineers have encountered bugs and gaps in how the systems understand or handle certain tasks. The limitations are practical, not philosophical, but they still block the overhaul.
In some cases, the AI just doesn't have enough reliable data to make solid calls. In others, it simply can't handle the variety of work that Meta's teams handle day to day. The result: the AI works for some parts of the business but not others, and that split is hard to ignore.
The cost of a stalled project
When an internal project like this loses momentum, the effects ripple. Managers have to spend extra time coaxing teams along. Engineers keep patching and reworking the AI. And the promised efficiency that was supposed to come from the overhaul stays out of reach.
Meta hasn't said whether Project GT's timeline will shift or if the plan itself needs to change. There's no sign the company is abandoning the idea, but the current state is far from the smooth rollout that was likely hoped for.
What happens next
The real question is whether Meta can tighten the gap between its AI ambitions and the reality on the ground. Will the company adjust its approach, add more human oversight, or push through the technical and cultural friction? For now, there's no public answer.
