
Wall Street analysts have raised their earnings forecast for Nvidia to 44% annual growth over the next three years, driven by upward revisions to hyperscaler capital spending forecasts for AI infrastructure.
The consensus estimate for combined 2026 capex among the top five hyperscalers has doubled to $733 billion, and because Nvidia captures roughly 26% of hyperscaler capex, faster spending growth directly boosts the company's earnings outlook.
With a median analyst target of $300 per share (37% upside from $218), the news reflects Wall Street's pattern of initially underestimating how much money large cloud providers will invest in AI.
What happened
Analysts have revised consensus earnings estimates upward, now expecting Nvidia earnings to grow 44% annually over the next three years, up from a 33% estimate in March. This shift follows Wall Street's discovery that hyperscalers are spending far more on AI infrastructure than previously forecast — the consensus estimate for the top five hyperscalers' 2026 capex has more than doubled from $361 billion to $733 billion.
Why it matters
Nvidia controls about 90% of data center accelerator sales and has become the largest networking company globally, positioning it to capture roughly 26% of all hyperscaler capital expenditures. Since earnings growth should track capex growth if Nvidia maintains its pricing power, the upward capex revisions directly translate to stronger profit expectations — the median analyst target of $300 per share implies 37% upside from the current $218 price.
What to watch
The median analyst target price is $300 per share. Wall Street's track record of underestimating capex spending — actual capex exceeded 50% growth in both 2024 and 2025 despite initial forecasts of 20% — suggests consensus estimates for 2027 capex (28% growth to $939 billion) may also be too conservative, which could mean further upside revisions ahead.
Nvidia shares have climbed 1,390% since the artificial intelligence boom began in January 2023, and Wall Street analysts still believe the stock is undervalued. Among 65 analysts surveyed, the median target price is $300 per share, implying 37% upside from the current price of $218. The catalyst for recent optimism is a substantial upward revision to earnings forecasts. Consensus estimates now project Nvidia earnings will grow 44% annually over the next three years — a significant jump from March's consensus estimate of 33% annual growth.
What drove this revision is Wall Street's realization, once again, that it has underestimated hyperscaler spending on AI infrastructure. According to Goldman Sachs, at the start of both 2024 and 2025, consensus estimates implied capex growth of roughly 20% for each year, but actual capex growth exceeded 50% in both years. The same pattern has emerged in 2026: last June, the consensus estimate forecast that the five largest hyperscalers — Alphabet, Amazon, Meta Platforms, Microsoft, and Oracle — would spend $361 billion on capex in 2026. Wall Street has since raised that forecast by over 100%, such that the current consensus estimate now stands at $733 billion for 2026. Similarly, the 2027 forecast predicts capex growth of 28% to $939 billion, though this would represent a significant slowdown compared to the 56% growth in 2024, 73% in 2025, and the projected 90% growth for 2026.
Nvidia's earnings growth is expected to track this capex spending because the company captures approximately 26% of hyperscaler capital expenditures — a metric that underscores Nvidia's essential role in the AI infrastructure market. Wall Street analysts currently expect capex spending among the five largest hyperscalers to grow 41% annually through 2028, while consensus estimates say Nvidia earnings will increase 44% annually over the same period. Nvidia dominates this market through a full-stack accelerated computing approach: the company produces graphics processing units (GPUs), central processing units (CPUs), and networking equipment, supported by a robust software ecosystem. Nvidia GPUs account for around 90% of data center accelerator sales, the company recently became the largest networking company in the world, and it is on pace to become the largest CPU supplier by year-end. While some investors worry that custom application-specific integrated circuits (ASICs) could displace Nvidia, Meera Pandit, global market strategist at J.P. Morgan, argues that "Nvidia isn't going anywhere anytime soon," noting that custom hardware has an obsolescence risk as AI evolves and only Nvidia chips can handle any AI workload. The implication for investors is that if Wall Street's track record of underestimating hyperscaler capex spending continues — as the data suggests is plausible — then current Nvidia earnings forecasts may also be conservative, potentially driving further stock appreciation.
Nvidia's stock has surged 1,390% since the AI boom began in January 2023, yet Wall Street still sees upside. The key driver is a systematic pattern of underestimation: analysts initially forecast hyperscaler capex growth of roughly 20% for both 2024 and 2025, but actual growth exceeded 50% in both years. The same pattern has repeated in 2026 — last June's consensus estimate pegged top five hyperscaler capex at $361 billion, but the current estimate sits at $733 billion, a more-than-doubling revision. This underestimation matters directly to Nvidia because the company's earnings growth tracks capex growth; roughly 26% of hyperscaler capital expenditures flow to Nvidia's bottom line. With analysts now projecting capex growth of 41% annually through 2028 but historically underestimating each year, there is reason to believe Nvidia's consensus earnings growth forecast of 44% annually over the next three years may itself be conservative. Nvidia's dominance across GPUs (about 90% of data center accelerator sales), networking (now the largest player globally), and CPUs (on pace to lead by year-end) creates structural pricing power and ecosystem lock-in that makes custom silicon (ASICs) a less flexible alternative for most AI workloads.
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