AI Industry Earnings: Stocks To Watch For Mid-Term Growth

This article offers a concise overview of the current state of the Artificial Intelligence industry, exploring key developments and trends. It examines President Trump’s policies and their impact on AI from a geopolitical standpoint.

Additionally, the piece provides an in-depth analysis of upcoming earnings reports from AI players such asNVIDIA, Dell Technologies, and Marvell Technology. Investors will find valuable insights and strategic guidance for trading around these earnings, designed to support informed decision-making and portfolio growth.


The State of Artificial Intelligence Investment & Innovation in May 2025

Despite a slowdown in overall economic growth, theartificial intelligence (AI) sectorcontinues to expand steadily in 2025. AI technology, which focuses on creating software and hardware capable of replicating human cognitive functions like learning and problem-solving, is increasingly becoming a strategic asset for businesses worldwide. Approximately 35% of companies have integrated AI solutions, with 90% leveraging these technologies to maintain a competitive advantage through data-driven decision-making.

Governments around the globe are heavily investing in AI research and development, underscoring the technology’s strategic importance. According to the latest report fromFortune Business Insights,global AI investments are forecasted to approach USD 200 billion by the end of 2025.

Enterprise adoption of AI tools such as ChatGPT, Claude, Copilot, and Gemini is accelerating, seamlessly embedding AI into daily workflows. Industry leaders like NVIDIA, Dell, and Marvell are building the critical infrastructure—what NVIDIA CEO Jensen Huang calls “AI factories”—that powers this transformation. At Computex 2025, Huang delivered a compelling keynote emphasizing AI as a foundational infrastructure on par with electricity and the internet. He described modern AI data centers as energy-intensive hubs producing valuable digital assets including tokens, models, and intelligent agents. NVIDIA’s GPUs underpin the AI efforts of major players such as OpenAI, Meta, xAI, Microsoft, and Oracle, enabling large-scale AI deployments with cutting-edge hardware like the Grace Blackwell Ultra architecture and NVL72 systems.

Huang outlined a clear roadmap for AI’s evolution: from current capabilities in reasoning and perception, through agentic AI capable of independent thought and action, to physical AI interacting with the real world, and ultimately toward general robotics as the next frontier. He also highlighted the expanding role of CUDA-X, NVIDIA’s AI software platform, which is driving breakthroughs in 6G technology, quantum supercomputing, and autonomous systems.

Taiwan’s (TSMC) pivotal role in the global technology ecosystem was a key focus, and it was recognized as the birthplace of many NVIDIA innovations and partnerships. New hardware advancements featured during the keynote included the GB300 server unit, powered by Grace Blackwell Ultra and delivering a 50% performance improvement over its predecessor, the GB200. NVIDIA also introduced the GeForce RTX 5060 graphics card, targeting gamers, priced at $299. However, Huang noted that gaming is becoming a smaller part of their keynote narrative as AI takes center stage.

It’s important to contextualize current investment trends. AI funding peaked at a staggering USD 515 billion in 2023, primarily fueled by the surge in generative AI adoption. The years 2024 and 2025 are seeing a dip in investment levels, attributed to market consolidation and the introduction of tariffs. However, forecasts indicate a strong rebound in 2026 and 2027, driven by widespread enterprise adoption, expansion of AI infrastructure, and the rise of autonomous agents. The United States continues to lead global AI investment, accounting for nearly half of worldwide funding in 2024–2025.

Global AI Investment Growth 2023-2025

Source: Ki-Wealth Research, AI Leading Companies’ Reports

This landscape underscores a dynamic phase of AI development—marked by strategic investment, rapid innovation, and a growing recognition of AI’s transformative potential across industries.


Trump’s AI Agenda: Big Investments & Strategic Policies

As of today, President Donald Trump’s administration is driving a robust campaign to bolster the U.S. artificial intelligence sector through a blend of deregulation, substantial infrastructure investments, and strategic alliances. The administration’s approach underscores a commitment to securing American leadership in AI by fostering domestic manufacturing, incentivizing research and development, and carefully navigating geopolitical challenges.

Key industry players benefiting from this agenda include:

NVIDIA:Committing $500 billion over four years, NVIDIA is expanding U.S.-based AI infrastructure, fully aligning with the administration’s push for domestic production of AI supercomputers.

OpenAIandOracle (ORCL): Backed by a $500 billion private investment under Project Stargate, these companies are central to the administration’s vision of U.S. AI supremacy, with Oracle serving as a critical cloud partner in this initiative.

IBM: With a $150 billion investment dedicated to AI and technology operations over five years, IBM is positioned to capitalize on deregulation and federal incentives designed to accelerate AI research.

Apple (AAPL):Pledging $500 billion toward U.S. manufacturing and AI workforce development, Apple benefits from government support for large-scale training programs and domestic production.

TSMC:Investing $100 billion in U.S.-based chip manufacturing, TSMC plays a vital role in securing the supply chain for AI chip production, a cornerstone of national AI infrastructure.

Strategically, the Trump administration is balancing its ambition for AI dominance with national security concerns, adopting policies that limit technology exports to rival nations while reinforcing economic and technological sovereignty. This geopolitical strategy, described as walking a “geopolitical tightrope,” aims to position the U.S. at the forefront of AI innovation through 2025 and 2026.

In a notable shift from previous policies, Trump has rolled back Biden-era AI safety mandates, eliminating risk disclosure and safety evaluation requirements. Instead, he has issued an executive order establishing a federal AI action plan focused on accelerating U.S. leadership in the sector.

Together, these moves signal a decisive and comprehensive effort to shape the future of AI in America, with significant implications for the industry’s global dynamics.


AI Titans’ Earnings: NVIDIA, Dell, Marvell Insights (May 28-29, 2025)

Key Insights from the Upcoming Earnings Reports of NVIDIA, Dell Technologies, and Marvell Technologies

The financial results of AI-centric companies like NVIDIA, Dell Technologies, and Marvell Technologies, due on May 28 and May 29, 2025, offer a valuable window into the current state and future direction of the technology sector and broader economy. Each of these firms plays a pivotal role in the rapidly expanding artificial intelligence industry—NVIDIA is a leader in AI chip manufacturing, Dell Technologies provides essential infrastructure and server solutions, and Marvell Technologies drives advancements in data infrastructure.

Analyzing their financial performance provides critical signals about investment trends and innovation momentum within the AI landscape. Strong results often indicate robust business investments in AI capabilities, which tend to fuel productivity and technological progress. Conversely, signs of weakness may reflect caution or challenges within the tech ecosystem.

For investors, these earnings reports deliver essential information—ranging from revenue figures and profit margins to future outlooks and product developments—that supports informed decision-making. Beyond the raw numbers, these disclosures frequently highlight advancements in technology, strategic partnerships, and shifts in market focus, all of which can influence the wider tech industry.

The ripple effects of success or setbacks at these companies extend through their supply chains, benefiting or straining suppliers, manufacturers, and service providers tied to their operations. Additionally, these reports shed light on the competitive environment, revealing how these companies stack up against rivals and whether new entrants are reshaping the market dynamics.

With generative AI rapidly scaling, investors are particularly attentive to signs of monetization and profitability in AI-related products and services. Given these factors, a thorough analysis of the forthcoming earnings for NVIDIA, Dell, and Marvell is essential. Following this, I will present a detailed investment strategy and share informed perspectives on these key players.

Membership Required

You must be a member to access this content.

View Membership Levels

Already a member?Log in here
industries menu background

These Services Are Coming Soon:

Share this article:
Irina Kainz, MBA, FRM
Irina Kainz, MBA, FRM

Global Investment Professional, Big Data Analyst, Researcher, Writer,
Alumni of Clark University Business School of Management. Holds MBA Degree in Financial Management, Financial Risk Management Charter. Over 18 years of experience in investment banking. Profound knowledge of corporate finance, asset valuation and management. Top skills are quantitative research and analysis; stock picking strategies. Reliable, responsible, have a good track record in the investment community.

Articles: 341

Stay informed and not overwhelmed!

Subscription Email Form

IMPORTANT LEGAL DISCLAIMER: This website and all its content are the personal research and opinions of the author and are for informational and educational purposes ONLY. This is not financial advice. The author is NOT a licensed financial advisor and is not registered with any financial authority. The "Stock Picks" section represents the author's personal investment journal and ideas, NOT recommendations to buy or sell any security. All financial instruments (stocks, crypto, etc.) carry a high degree of risk. You must conduct your own research and consult a qualified, licensed professional before making any investment decisions. The author may or may not hold a position in the assets discussed.