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.

Nvidia’s streak of blockbuster earnings has turned investor expectations into a high-stakes game— anything short of perfection risks disappointment. As the company gears up to report fiscal Q1 results, markets remain fixated on the fallout from China’s H20 export ban, which could shave $15 billion off annual revenue and includes a $5.5 billion inventory write-down. Q1 strength will likely reflect a surge in stockpiled orders from China, but Q2 poses the choppiest outlook in years as demand for Hopper GPUs slows and Blackwell ramps more gradually than expected. Despite these headwinds, Nvidia’s fiscal H2 may shine, with Blackwell NVL72 rack shipments set to surge. With over seven years of coverage and a 53% gain on our latest Nvidia trade, I/O Fund offers critical insights and buy targets as Wall Street heads into Nvidia Week.

Microsoft stock jumped after Q3 2025 earnings as Azure emerged as the only major cloud platform to accelerate growth this quarter — a rare feat amid macro pressures. Azure’s 35% constant currency growth crushed estimates and far outpaced AWS at 17% and Google Cloud at 28%. This momentum reaffirms Microsoft’s dominant position in the Azure vs AWS vs Google Cloud battle. With deeper enterprise penetration, exclusive OpenAI integration, and a strong AI-driven roadmap, Microsoft’s cloud and AI edge continues to widen. Our full breakdown explores Azure’s acceleration, Microsoft’s 49% stake in OpenAI, rising token usage, and a major upcoming AI catalyst few are talking about.

Since calling the Bitcoin bottom near $16,000 in late 2022, the I/O Fund has maintained a disciplined, contrarian approach — issuing 13 buy alerts before Bitcoin surged above $100,000. Now, signs suggest the current bull cycle may be nearing its final stage. Despite pro-crypto news headlines and ETF momentum, our technical and on-chain indicators point to rising risk and the possibility of a major top. In this article, we explore why it may be time to reduce exposure and how disciplined risk management can protect gains before the next volatile phase begins.

As the S&P 500 reaches a key bounce target, troubling signs in bonds and consumer behavior suggest this market rally may be on thin ice. I/O Fund’s Knox Ridley explains why volatility may intensify and how the correlation between stocks and bonds is breaking in a way we haven’t seen in decades.

Rising tariffs are injecting significant uncertainty into the stock market, triggering daily volatility and forcing analysts to revise earnings estimates. Our Q1 preview dives into the potential impact on key sectors like consumer electronics (especially Apple), autos, and Big Tech, revealing how supply chain disruptions and potential price hikes could reshape the market landscape.

Tesla’s stock is now facing a recalibration of expectations after Q1’s delivery report missed by a wide margin. Q1’s analyst consensus has gone from $25.98B at the start of the year to $23.97B in early March, to now $21.54B following Tesla’s delivery report. These sharp revisions beg the question - is this enough? This analysis drills deeper into the current analyst expectations for Tesla and what to expect in Q1’s report below.

In early 2025, as markets rallied to new highs, we warned that divergence across key sectors signaled a looming correction. Now, with all major indexes in a technical bear market and bond market dysfunction escalating, we explore why the Fed may not be able to prevent deeper losses — and how investors should position for what’s next.

Late in 2024, Oracle outlined an ambitious plan to nearly double its revenue by fiscal 2029, hinging on long-term growth in enterprise AI and cloud spending. Oracle sets itself apart from its hyperscale peers with its ability to provide low-cost, ultrafast AI compute, winning a key role in the massive Stargate AI infrastructure project over the next four years. Despite surging RPO and billions of potential revenue from Stargate, Oracle's AI story has not inspired confidence. Cloud revenue is already on track to miss its FY25 target provided just one quarter ago, and analysts are wary of management's growth acceleration targets.

In 2024, I/O Fund posted a 35% return, significantly outperforming popular tech ETFs, which recorded an 8% return over the same period. On a cumulative basis, the results translate to a remarkable 219% outperformance compared to competing tech portfolios. The I/O Fund outperformed the S&P 500 by 109% and outperformed the Nasdaq-100 by 82%. In 2024, the I/O Fund returned 35%, outperforming the S&P 500 by 11% and the Nasdaq-100 by 10%. Since inception, the I/O Fund has maintained a lead of up to 219% over institutional technology portfolios.

Retail investors face significant disadvantages in the stock market, often underperforming institutional investors by a wide margin. Studies show that high-frequency trading firms dominate market activity, creating extreme volatility that disproportionately impacts individual traders. As the I/O Fund prepares to release its 2024 returns—proving our firm has outperformed both indexes and top Wall Street funds—we examine the critical need for verified returns and risk management strategies to help retail investors succeed.

NVIDIA’s latest Blackwell Ultra GPU, unveiled at NVIDIA GTC 2025, is transforming AI acceleration and high-performance computing (HPC). Designed for the “Age of Reasoning,” these cutting-edge GPUs deliver unprecedented computational power for AI training and inference through advanced parallel processing. As AI workloads grow, accelerated computing is becoming essential — rising from 30% to 80% adoption among the world’s Top 500 supercomputers. The Green 500 energy-efficient supercomputers further highlight this shift, as demand for powerful, efficient AI hardware surges.

Supercomputers and advanced AI data centers are driving the AI revolution, enabling breakthroughs in deep learning and large-scale model training. As AI workloads become increasingly complex, next-generation infrastructure must offer both massive computational power and energy efficiency. NVIDIA’s GB200 is engineered to meet these demands, providing scalable, high-performance solutions for AI superclusters, accelerating AI training, inference, and large-scale data processing.

Nvidia has traversed choppy waters so far in 2025 as concerns have mounted about how the company plans to sustain its historic levels of demand. At GTC, Huang threw cold water on many of the Street’s assumptions, explaining why Nvidia’s GPUs will continue to dominate the AI accelerator market moving forward. I appeared on Fox News live during the keynote to discuss why valuation is the great equalizer for this stock – along with my prediction for which quarter this year Nvidia will likely explode higher.

AI data centers are at the heart of the AI revolution, but their massive energy demands raise critical questions. With power consumption expected to grow 160% by 2030, data centers are turning to a mix of brown, clean, and renewable energy sources to balance sustainability and reliability. Goldman Sachs estimates 40% of new data center capacity will come from renewables, but can solar, wind, and nuclear meet AI’s 24/7 power needs? Discover how hyperscalers are adapting their energy strategies in the race to power AI.

Natural gas is emerging as the backbone of AI data center expansion, with demand expected to reach up to 6 billion cubic feet per day by 2030. As AI-driven infrastructure surges, data centers are turning to the U.S. electrical grid, primarily powered by natural gas, to meet their energy needs. With Texas and Louisiana leading in dense gas pipeline networks, major AI data center projects are strategically positioning themselves near these energy hubs. Discover why natural gas pipelines are the unsung heroes fueling the AI revolution.

Alibaba’s AI-driven cloud revenue is surging with six consecutive quarters of triple-digit growth. However, its AI earnings remain a fraction of what U.S. tech giants report, with Microsoft leading at 13X higher AI revenue. The competitive pricing war in China’s AI sector may be limiting its growth potential. Explore Alibaba’s AI advancements, market challenges, and future prospects in our latest analysis.

AI data centers are projected to consume 9% of U.S. electricity by 2030, driven by soaring GPU power demands, with Nvidia’s GB200 reaching 2,700W—a 300% increase over previous generations. As AI racks push 80-150 kW per unit, power efficiency is now the key bottleneck. Among the top five energy sources—solar, coal, nuclear, natural gas, and solid oxide fuel cells (SOFCs)—SOFCs emerge as the most efficient, reaching 87% efficiency when paired with heat capture. With AI’s power consumption accelerating, investing in high-efficiency energy solutions will be crucial for sustaining future growth.

Tesla’s growth faces major hurdles in 2025 after its first annual decline in deliveries. Sales are plunging in key markets like China and Europe, while margins remain under pressure. Optimism around robotaxis and Optimus robots is rising, but neither is expected to drive significant growth next year. Tesla’s push for an affordable model also raises profitability concerns. Stay ahead with I/O Fund’s expert analysis—our high-performing tech portfolio outperformed the Nasdaq-100 in 2024. Take advantage of our limited-time 20% off Pro membership and access exclusive research, webinars, and real-time trade alerts.

The digital world is overloaded with noise—millions of posts, comments, and messages flood the internet every minute. For investors, this creates a challenge: filtering out distractions to focus on high-quality stock analysis. I/O Fund delivers institutional-grade research on tech stocks, AI, and crypto, offering both free and premium insights with real-time trade transparency. From Nvidia’s AI call at $3.15 to identifying top AI and semiconductor stocks, our analysis provides a competitive edge. Stay ahead of the market—sign up for our free newsletter today.

In a world flooded with information, investors face an overwhelming amount of noise. Quality stock analysis is the key to cutting through the clutter. At I/O Fund, we provide in-depth, free investment research—focused on the high-risk, high-reward tech sector, including AI, crypto, fintech, and semiconductors. Our expert insights help investors navigate market volatility with confidence. Stay ahead with our best analysis, designed for those who seek real value in a fast-moving market.

In our mid-October 2024 broad market report, we highlighted that a breakout above 5825 on the S&P 500 could push the index into the 6000–6185 range—contingent on holding support at 5675, which it did. Since then, the market peaked at 6147 and remains near its October levels. However, key sectors and stocks have failed to participate in the rally, and bond market reactions to the Fed’s aggressive rate-cut plans remain concerning. Legendary investors like Stanley Druckenmiller and Peter Lynch emphasize analyzing markets over economic forecasts to anticipate major market moves. Our intermarket analysis, which helped us identify the end of the 2022 bear market, now signals a potential market top. Additionally, semiconductor stocks—historically a leading indicator of volatility—remain well below their highs, suggesting broader market weakness ahead.

Key Nvidia suppliers are providing mixed guidance on the timing of Nvidia’s Blackwell GB200 systems. The commentary is subtle, and it would require knowing this stock thoroughly to identify the change in tone. To put it simply, if Blackwell GB200s were ramping, we would see strong sequential growth for Q1. At the very least, there would be some indication Q2 is setting up for strong growth, and yet the commentary is shifting toward a second half discussion.