Nvidia and Micron shares rebound after OpenAI flags an annualized $70 billion revenue goal for 2026

Stocks tied to artificial intelligence hardware including Nvidia and Micron moved higher after OpenAI indicated it expects annualized revenue to reach or exceed $70 billion by the end of 2026, according to a report published by Yahoo Finance.

The update, as described in the market coverage, eased concerns that had weighed on chip names earlier in the week. Those concerns had been prominent enough to pressure the group on Thursday, before the market reversed course on the new guidance.

For Nvidia, the reaction underscores how closely investor sentiment around semiconductor demand is now tethered to large-scale AI customer economics, not only to near-term product cycles. When a major AI developer communicates confidence in its ability to scale revenue, it can be read as a proxy for continued spending needs that feed demand for AI accelerators and related memory and networking.

For Micron, the same mechanism matters through a different product lens. Micron sells memory used across computing systems, including the high-bandwidth, high-capacity environments that data centers build to run AI workloads. When revenue growth expectations for frontier AI models rise, investors often reassess whether memory-intensive infrastructure buildouts will stay on track.

The $70 billion figure is framed in the report as an annualized revenue goal, meaning it reflects a run-rate concept rather than a single-point, end-of-year total. Markets typically focus on run-rate indicates because they can imply sustained demand through the period ahead, even if quarterly revenue timing varies.

The broader read-through for the semiconductor sector is that AI spending expectations can move quickly based on indicates from the companies developing and monetizing frontier models. Chip stocks, especially those exposed to data center AI, can be highly sensitive to shifts in that perceived demand outlook.

What remains unclear from the publicly referenced market coverage is how OpenAI arrived at the target, what portion of revenue it expects to come from specific offerings, and whether it pairs the goal with any explicit capex guidance or detailed spending plans. Without those specifics in the referenced report, the market’s immediate interpretation may be more sentiment-driven than a direct adjustment to manufacturer order forecasts.

Investors are likely to watch for follow-on disclosures that link OpenAI’s revenue outlook to infrastructure intensity, such as any further commentary on data center capacity, model deployment pace, or customer concentration. For Nvidia and Micron, the next confirmation will be whether earnings and forward guidance from the chip supply chain align with the improved demand narrative suggested by the target.