Nvidia Earnings This Week; Biggest Power Deal in History

2026-05-18 · Source: Bloomberg Tech · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

Bloomberg Tech discusses key developments in the technology and financial sectors, focusing on Nvidia's upcoming earnings, the AI data center boom, and SpaceX's potential IPO. Investors are closely watching Nvidia's performance, with analysts noting accelerating top-line growth but cautioning on rising memory prices and the shift from AI training to inferencing. The AI data center boom has triggered the largest power deal in history, with NextEra acquiring Dominion Energy for $67 billion, driven by unprecedented demand for power. Additionally, CME Group and Silicon Data are launching the world's first futures market for AI computing power to enable hedging against volatility. Apple is set to debut a privacy-focused Siri update, while Google faces internal compute shortages, prompting some AI researchers to leave for startups. Recursive, a new AI startup, emerged from stealth with a $4.65 billion valuation, aiming to build self-improving super intelligence.

Key takeaway

For CTOs and VPs of Engineering managing AI infrastructure, the escalating demand for compute and power necessitates strategic planning beyond silicon. You should explore new financial instruments like compute futures to hedge against cost volatility and proactively engage with utility providers, recognizing that physical infrastructure build-out for AI data centers can take years, impacting future capacity and operational costs.

Key insights

AI's rapid expansion is reshaping markets, driving unprecedented demand for compute, power, and new financial instruments.

Principles

• Compute demand outpaces supply.
• Privacy is a key AI differentiator.
• AI infrastructure requires massive power.

Method

A futures market for AI computing power is being established by CME and Silicon Data to allow hedging against volatility and manage risk exposure for GPU-dependent entities.

In practice

• Monitor Nvidia's earnings for AI demand signals.
• Evaluate utility mergers for AI power implications.
• Consider compute futures for hedging AI costs.

Topics

• NVIDIA Earnings
• AI Data Centers
• Compute Futures Market
• SpaceX IPO
• AI Superintelligence

Best for: CTO, VP of Engineering/Data, Executive, Investor, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Bloomberg Tech.