Elon Musk Overhauls xAI Leadership to Integrate SpaceX Talent and Accelerate Model Development

Elon Musk restructures xAI with SpaceX executives and Indian-origin engineers to boost AI model training. Get the details on the new leadership team.

By: AXL Media

Published: Apr 9, 2026, 4:44 AM EDT

Source: Information for this report was sourced from LiveMint

Strategic Leadership Reshuffle for Engineering Excellence

Elon Musk is implementing a significant restructuring at xAI, promoting key engineering talent to address competitive gaps in the artificial intelligence sector. According to an internal company memo, SpaceX executive Michael Nicholls stated that xAI is currently trailing its peers and must take aggressive action to reach industry standards. As part of this overhaul, several Indian-origin engineers have been elevated to lead vital technical teams. These appointments are designed to stabilize the company following the departure of eight out of eleven original cofounders and to prepare the entity for closer integration with SpaceX.

Advancing Neural Network Pre-Training and Infrastructure

Devendra Chaplot, a recent addition to the xAI team and former researcher at Facebook, has been appointed to lead the pre-training division. In this capacity, he will oversee the foundational phase where AI models learn general patterns from massive datasets including images, code, and text. Simultaneously, Aman Madaan will manage the model factory and tooling department. Madaan’s responsibilities include overseeing the critical data pipelines and training workflows necessary to build and refine the company’s signature AI models. These roles are essential for rebuilding the company's technical core using methodologies similar to Musk’s established strategies at Tesla.

Optimization Through Post-Training and Reinforcement Learning

The final stages of model development will be led by Aditya Gupta, who takes charge of post-training and reinforcement learning. This role involves fine-tuning AI models to ensure they align with human preferences and are optimized for practical applications such as coding assistance and conversational interfaces. By focusing on this alignment, xAI seeks to narrow the gap with major rivals like Google, Anthropic, and OpenAI. The company plans to significantly enhance the performance of its compute infrastructure over the next two months to correct what leadership described as embarrassingly low training metrics.