Loop Capital estimates that hyperscalers will boost the proportion of infrastructure spending on non-CPU compute from 15 per cent today to 50–60 per cent by 2028.
AI Compute Demand Set to Explode
Loop Capital estimates that hyperscalers will boost the proportion of infrastructure spending on non-CPU compute from 15 per cent today to 50–60 per cent by 2028. That would push global spending on AI compute to around $2 trillion in just three years.
Much of this surge is driven by the rising complexity of AI models. Newer-generation reasoning models reportedly require up to 150 times more compute power than conventional large language models (LLMs), making Nvidia’s AI servers even more critical.
Nvidia’s AI Factories Are Gigawatt Machines
Nvidia is also banking on its role in the development of AI factories — vertically integrated data centres designed to train and deploy artificial intelligence models at scale. The firm says it now sees “line of sight” to tens of gigawatts of demand in the coming 24–36 months.
Loop Capital projects Nvidia’s data centre revenue will grow from $115 billion in FY2025 to $367 billion by FY2028, more than tripling in three years.
Nvidia’s Monopoly-Like Grip on the Market
Baruah’s optimism also stems from Nvidia’s near-monopoly on the most critical AI compute hardware. He describes the company as “essentially a monopoly for critical tech”, giving it a major advantage in pricing power and the ability to expand margins.
Despite competitive rumblings from rivals such as AMD and Intel — and the emergence of China’s DeepSeek AI earlier this year — Nvidia has weathered those headwinds. It even navigated US export restrictions and tariff concerns with minimal long-term impact, showing the robustness of its business model.
Investors Already Betting on the Future
Nvidia’s stock price has climbed more than 180 per cent over the past 12 months, and with its recent gains, it has surpassed Microsoft and Apple to top global market cap rankings. While some investors are cautious about overheating, Baruah’s analysis is a stark reminder of how bullish sentiment remains around the AI megatrend. “We’re entering the next ‘Golden Wave’ of Gen AI adoption,” he wrote. “Nvidia is at the front-end of another material leg of stronger-than-anticipated demand.”
If his thesis plays out, Nvidia could soon redefine the upper limits of tech valuation — cementing itself not just as an AI leader, but as a financial juggernaut in the trillion-dollar club.