Facebook owner Meta is testing its first in-house chip for training artificial intelligence systems. The push is part of a long-term plan at Meta to bring down its mammoth infrastructure costs. The chip is the latest in the company’s Meta Training and Inference Accelerator (MTIA) series. Meta executives have said they want to start using their own chips by 2026 for training, or the compute-intensive process of feeding the AI system reams of data to \”teach\” it how to perform.. The goal for the training chip is to start with recommendation systems and later use it for generative AI products like chatbot Meta AI, the executives said. The social media company has forecast total 2025 expenses of $114 billion to $119 billion, including up to $65 billion in capital expenditure largely driven by spending on AI infrastructure. The value of those GPUs has been thrown into question this year as AI researchers increasingly express doubts about how much more progress can be made by continuing to \”scale up\” large language models by adding ever more data and computing power.