Elon Musk-led xAI has posted a sharply wider loss in the third quarter of the last financial year, underscoring the cost of its aggressive push to build advanced artificial intelligence systems designed to power next-generation applications, including humanoid robots such as Tesla’s Optimus.
According to internal documents reviewed by Bloomberg, xAI reported a net loss of $1.46 billion, equivalent to roughly ₹12,100 crore, for the July–September quarter. The loss widened from about ₹8,300 crore in the preceding quarter as the company stepped up spending on AI data centres, specialised computing hardware, and senior engineering talent.
From January to September, xAI’s cumulative cash expenditure touched $7.8 billion, or approximately ₹64,500 crore, highlighting the capital-intensive nature of building large, general-purpose AI models capable of operating autonomously.
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Racing to power humanoid intelligence
xAI, best known for developing the AI chatbot Grok, has told investors that it is rapidly deploying externally raised capital to accelerate product development. The company’s stated objective is to create AI systems that can function without human intervention, a capability Musk believes is critical for real-world robotics and automation.
People familiar with the discussions said xAI’s management is currently prioritising the development of AI agents and foundational software layers. These are expected to be deployed first through an internal, AI-first software platform dubbed “Macrohard”—a name that mirrors Musk’s long-running rivalry with established software giants. Over time, the same AI stack is intended to serve as the cognitive engine for Optimus, Tesla’s humanoid robot.
‘Escape velocity’ approach to spending
In communications with investors, xAI executives have described the company’s growth strategy using the term “escape velocity”, a phrase Musk frequently uses to explain how his ventures reach a scale where momentum becomes self-sustaining despite early losses.
While losses continue to mount, revenue growth has accelerated. In the third quarter, xAI recorded revenue of $1.07 billion, or about ₹8,900 crore, nearly double the previous quarter’s figure. Even so, revenues remain modest compared with the scale of ongoing investment.
Management has maintained that xAI has sufficient resources to continue spending aggressively, arguing that speed and scale are critical in the increasingly competitive global AI race.
Fresh capital provides breathing room
The widening losses come against the backdrop of a major funding round at xAI Holdings, the parent entity that also controls X (formerly Twitter). The group recently raised $20 billion, equivalent to nearly ₹1.66 lakh crore, from investors including sovereign funds and technology-focused institutions.
Following the fundraising, the combined group’s valuation was estimated at around $230 billion, or approximately ₹19.1 lakh crores, placing it among the most valuable private technology companies globally.
People familiar with the company’s finances said xAI’s monthly cash outflow remains below $1 billion (around ₹8,300 crore), suggesting the newly raised capital could support operations for more than a year even if revenue growth does not accelerate materially in the near term.
High-risk, high-reward AI bet
Industry analysts say xAI’s financial trajectory reflects a broader pattern across frontier AI firms, where computing power, speed of development and access to capital matter more than near-term profitability. Building foundational AI models requires massive upfront investment, with monetisation often lagging technological progress by several years.
For Musk, the approach mirrors earlier ventures—prioritising technological leadership first, and profits later. Whether xAI’s AI systems ultimately translate into sustainable returns through software platforms, robotics or enterprise automation remains uncertain.
For now, the numbers make the strategy clear: rapidly rising losses, fast-growing revenues, and an uncompromising push to dominate the intelligence layer of the future humanoid economy.
About the author – Ayesha Aayat is a law student and contributor covering cybercrime, online frauds, and digital safety concerns. Her writing aims to raise awareness about evolving cyber threats and legal responses.
