When it comes to AI cloud leaders, Oracle is not often mentioned, yet the company is quickly positioning itself to lead among Microsoft, Amazon and Alphabet when it comes to cloud growth over the next few years. For the upcoming fiscal year, Oracle guided for a 20-point acceleration in Cloud IaaS growth to >70%, driving a 16-point acceleration in overall Cloud growth to >40%. Supporting its long-term growth is robust RPO momentum, its recent 4.5 GW expansion with OpenAI and its $30 billion/year cloud deal starting in FY28. Below, I break down Oracle’s FY26 AI cloud acceleration, Stargate economics, and bull, base and bear case scenarios that assess if Oracle has what it takes to become the next $1 trillion AI stock.

Robinhood’s fundamental transformation over the past two years has been nothing short of remarkable. Crypto is driving strong revenue growth at 50% YoY in Q1, while TTM operating margin is approaching 40% after being at (72%) at the start of 2023. Robinhood was an initial trailblazer in zero-commission trading, yet the company arguably made one of its most significant moves at the end of June with the launch of Stock Tokens. The tokenization of assets marks an entry into a market that will reach multi-trillions over the next decade. With that said, Robinhood remains heavily reliant on crypto as one of its three main revenue drivers. While crypto was instrumental in Robinhood’s first $1 billion quarter in Q4, this elevated reliance presents a headwind for Q2 as spot volumes declined significantly in June.

The market evolves quickly, and nowhere is that more apparent than in AI stocks, which continue to lead in both innovation and returns. At the I/O Fund, our deep coverage of AI stocks, combined with active management of crypto positions, gives us a unique vantage point. As we move into the second half of the year, we want to highlight key insights every investor should understand about where AI stocks and crypto could go next.

Data center power demand is forecast to surge over the next decade, with some estimates seeing demand increasing 3x by 2030. Inference is expected to be a primary driver with power demand growth projected at a 122% CAGR through 2028 as providers work to serve billions of requests and process hundreds of trillions of tokens. Combined with a 5x increase in GPU power consumption over the next two to three years with Nvidia’s Rubin Ultra, power is quickly becoming a major bottleneck for the industry. As a result of this expected demand growth, nuclear is re-emerging as a preferred clean energy source for AI data centers. Below, we discuss nuclear energy’s potential to address AI data center demand, its advantages and drawbacks, plus Big Tech’s increased interest in nuclear with a record-setting deal, and more.

Last week, AMD offered more details on the release of their groundbreaking GPUs with little fanfare in the markets – which is par for the course as AMD has a history of being forgotten about until the company can no longer be ignored. At Advancing AI 2025, AMD introduced its Instinct MI350 series GPUs, including MI355X with up to 4X performance over the previous MI300X generation and up to 40% more tokens per dollar compared to Nvidia’s B200 accelerators.

Up until now, the AI conversation has been dominated by training and compute, yet inference is showing signs of exploding growth. Microsoft and Google recently highlighted 5x to 9x YoY growth in AI tokens processed, while OpenAI and Anthropic are adding billions in ARR in a matter of months to $10 billion and $3 billion, respectively. While Nvidia takes center stage for many investors as AI training powered its immense data center growth over the past two years, this AI semiconductor stock is solidifying itself as the clear second place, with AI revenue expected to rise at 60% YoY this year and hints of a possible acceleration next year. Below, we break down what you need to know as the industry shifts to inference at scale, if this stock’s valuation is justified or lofty, plus the one thing the CEO said that all AI investors must hear to help position for 2025-2026.

Despite their leadership, AI stocks like Taiwan Semiconductor and Nvidia are flat year-to-date and trading at similar levels as June 2024. Clearly, the AI trade is not as straightforward as it might seem. Taiwan Semiconductor, in particular, sits at the center of geopolitical tensions — yet those tensions tend to surround companies with deep IP in the AI economy. What makes this economy so distinct is not just the extraordinary commercial demand, but also its rare, historical role in shaping global alliances (and adversaries). Investors are confronted almost daily with friction between the U.S. and China — and at the center of it all is one stock: Taiwan Semiconductor (TSMC). While enthusiasm around AI demand remains strong, assuming it will simply override geopolitical headwinds is overly optimistic. Onshoring a supply chain like TSMC’s takes years, yet markets can react to a negative headline in seconds.

We are seeing mounting evidence that this bounce may be the start of a new push to all-time highs, such as improved breadth, better than expected earnings plus the size of this bounce. However, one can’t ignore the unprecedented levels of uncertainty shown in key indexes, coupled with a growing problem in the U.S. bond market. In this report, we’ll lay out the unbiased case for each scenario for our 2025 stock market outlook.