Posts tagged ‘ai spending’
A.I. Field of Dreams
In the 1989 Academy Award–nominated film Field of Dreams, the lead character Ray Kinsella (played by Kevin Costner) hears a mysterious voice whisper, “If you build it, he will come.” Acting on blind faith, Ray builds a baseball diamond in the middle of his Iowa cornfield, risking financial ruin. Against all logic, the field draws a flood of visitors.
Today, a similar “field of dreams” is being built—not with corn, but with data centers. Instead of baseball players, it is artificial intelligence (AI) models, applications, and users who are coming.
The Market’s AI Momentum
The AI boom has already reshaped markets with all three benchmarks hitting record highs. Last month, the S&P 500 climbed +1.9%, while the NASDAQ rose +1.6% and Dow Jones Industrial Average surged +3.2%. Year to date, the indexes are up +10%, +11%, and +7%, respectively.
Behind this surge lies an unprecedented wave of AI infrastructure investment. Hyperscalers—Amazon.com (AMZN), Microsoft Corp. (MSFT), Google-Alphabet (GOOGL), Meta Platforms (META), and others—are pouring hundreds of billions into AI, much of it flowing directly to NVIDIA Corp. (NVDA), the undisputed leader in GPUs (Graphic Processing Units) powering the world’s AI engines. How large is the spending? NVIDIA CEO Jensen Huang estimates $3 trillion to $4 trillion will be spent this decade to fuel the AI revolution.
Source: Visual Capitalist
The Scale of AI’s Buildout
To put this into perspective:
- Amazon is projected to spend over $100 billion in 2025 alone, more than its cumulative capital expenditures from 2000–2020 combined.
Meta is constructing its $10 billion+ Hyperion data center in Louisiana—a sprawling 4 million sq. ft. complex across 2,250 acres, powered by a $4 billion natural gas plant. The footprint is so gargantuan it could cover much of Manhattan (see graphic below).
- xAI’s Colossus, a 750,000 sq. ft. data center in Memphis, Tennessee was completed in just 122 days—equivalent to building 418 homes in half the time it normally takes to construct one house (see slide below).
Source: BOND (Global Technology Investment Firm)
This breakneck pace of spending underscores the urgency and competitive pressure driving the global AI arms race.
The Origin of the AI Floodgates Opening
The spark was lit on November 30, 2022, when OpenAI released its LLM (large language model) called ChatGPT. Within two months, it amassed 100 million users.
Today, ChatGPT’s metrics have blasted much higher (see slide below):
- 800 million weekly active users
- 20 million paid subscribers
- $3.7 billion in revenue (as of April 2025)
Source: BOND (Global Technology Investment Firm)
But OpenAI is far from alone. Google (Gemini), xAI (Grok), Anthropic (Claude), Meta (LLaMA), Amazon (Titan), Perplexity, and DeepSeek are all competing with their own LLMs. In total, over 1 million machine learning models now exist (see slide below) — each requiring costly compute power and pricey data centers.
Source: BOND (Global Technology Investment Firm)
Bubble or Productivity Breakthrough?
With trillions flowing into AI, a natural question arises: Is this a bubble?
Even OpenAI CEO Sam Altman admits we’re in an AI bubble :
“When bubbles happen, smart people get overexcited about a kernel of truth…Someone is going to lose a phenomenal amount of money… and a lot of people are going to make a phenomenal amount of money.”
Both realities can be true:
- Yes, hyperscalers are spending like “drunken sailors.”
- Yes, AI demand and productivity benefits are real and growing exponentially.
Consider the trajectory of global cloud revenues: from nearly $0 a decade ago to $300 billion today—a +37% CAGR (see chart below).
Source: BOND (Global Technology Investment Firm)
And the primary reason for cloud growth can be attributed to AI productivity benefits. A recent SAP survey found that workers using AI save nearly one hour per day on average. That’s transformative for companies: higher productivity without needing proportional hiring.
AI Use Cases Expanding Aggressively
AI’s applications now span nearly every sector (see slide below):
- Technology – software engineering, code generation
- Customer Service & Marketing – customer support and call centers
- Transportation – autonomous vehicles and logistics
- Healthcare – drug discovery and development
- Supply Chains – precision manufacturing and optimization
- Automation – multi-purpose robotics
- Cybersecurity – threat detection and prevention
- Education – personalized lessons and curriculums
- Energy – grid optimization and demand forecasting
Source: BOND (Global Technology Investment Firm)
The New Field of Dreams
Throughout history, every great leap—printing press, steam engine, electricity, internet—has required massive upfront investment before the payoff arrived. AI is following the same path. Today, we are in the midst of building a new AI Field of Dreams. However, now, the data centers are the new baseball fields. And as with Ray Kinsella’s diamond, the masses are indeed coming.
Wade W. Slome, CFA, CFP®
Plan. Invest. Prosper.
This article is an excerpt from a previously released Sidoxia Capital Management complimentary newsletter (August 1, 2025). Subscribe Here to view all monthly articles.
DISCLOSURE: Sidoxia Capital Management (SCM) and some of its clients hold positions in GOOGL, META, AMZN, MSFT, NVDA, and certain exchange traded funds (ETFs), but at the time of publishing had no direct position in SAP or any other security referenced in this article. No information accessed through the Investing Caffeine (IC) website constitutes investment, financial, legal, tax or other advice nor is to be relied on in making an investment or other decision. Please read disclosure language on IC Contact page.
Mideast War an Investor Bore as Markets Soar
If I told you at the beginning of the year that the U.S. would bomb key nuclear sites in Iran, would you have guessed that Middle East stability would follow—and that global financial markets would soar to record highs? Personally, I wouldn’t have bet on that outcome. But that’s exactly what happened last month. While geopolitical dynamics remain fluid, markets shrugged off the chaos. The S&P 500 rallied +5.0%, the Dow Jones Industrial Average climbed +4.3%, and the NASDAQ catapulted +6.6%, powered largely by artificial intelligence stocks like NVIDIA Corp., which surged +16.9% for the month to a market value of $3.9 trillion (more on AI below). This is an important reminder that trading off of news headlines is a fool’s errand.
Economy Resilient Despite Tariffs and Geopolitical Turmoil
Source: Calafia Beach Pundit
Credit Default Swaps (CDS) act as insurance contracts that protect investors against corporate debt defaults. During financial stress—like the 2008 crisis or the COVID crash in 2020—CDS prices surge as investors seek protection. Today, however, CDS prices are falling across both high-yield (junk bonds) and investment-grade (Blue Chip) debt. As seen in the chart above, the cost to insure corporate bonds has declined steadily over the past two years. This signals bond investors aren’t worried about a recession or a wave of defaults, despite tariff policy uncertainty, geopolitical risk, and modest GDP growth.
Inflation Tame as Tariffs Loom
President Trump has repeatedly criticized Fed Chair Jerome Powell for not cutting interest rates, calling him everything from a “dummy” to a “major loser” and a “stupid person” to a “numbskull”. While the name-calling is colorful, the economic pressure is real: U.S. GDP contracted -0.5% in Q1 2025. Powell, however, wants to see the full impact of upcoming tariffs before making a move. . A new tariff deadline looms on July 9th, and the market is anxiously awaiting clarity. But even if tariffs are implemented, many economists believe the inflationary impact will be temporary—what’s known as a one-time price shock.
Source: Calafia Beach Pundit
The Fed’s preferred inflation gauge—the Personal Consumption Expenditure (PCE) index—has been easing and is now near the 2% target (see chart above). With inflation cooling, Trump’s case for rate cuts gains credibility. Still, the Fed appears in no rush. It will take time to understand the lasting effects of the tariff rollout.
AI Wave Fueling Markets
For a generation, the semiconductor revolution has quietly powered innovation, guided by Moore’s Law—the principle that chip performance doubles roughly every two years (see my article The Traitorous 8). Sixty years after Gordon Moore wrote his seminal article, “Cramming More Components onto Integrated Circuits”, the power of software is catching up. NVIDIA’s Grace Blackwell GB200 chip contains an astronomical 208 billion transistors, supercharging AI software models like ChatGPT.
The AI revolution is fueling trillions in global investment and rapidly transforming industries – from data centers and self-driving cars to robotics and drug discovery. It’s important to realize that this AI arms race is not just occurring in the United States. AI investment spending extends way beyond Silicon Valley to countries like Saudi Arabia, Singapore, and China.
The AI boom is not a U.S.-only phenomenon. Countries like China, Saudi Arabia, and Singapore are pouring capital into AI, creating a global arms race in tech. In the U.S., the four biggest hyperscalers—Amazon, Microsoft, Google, and Meta—are projected to spend over $300 billion on capital expenditures in 2025 alone (see chart below).
To illustrate the scale: Amazon is forecasted to spend more than $100 billion in CapEx this year. For context, that’s 40% more than the company spent over the entire 2000–2020 period combined.
Source: The Financial Times
The Stargate Initiative: AI Infrastructure on a Galactic Scale
A prime example of the AI gold rush is the $500 billion Stargate initiative, with Phase 1 already underway in Abilene, Texas (see rendering below). The initial construction includes two buildings totaling 1,000,000 square feet. Ultimately, the full project will cove about 1,000 acres and be powered by an on-site natural gas facility generating 360 megawatts—enough to support 300,000 homes.
A huge portion of the project costs are dedicated to the budget for NVIDIA super chips. Oracle Corp. has committed $40 billion to purchase 400,000 of NVIDIA’s GB200 chips, making this project a centerpiece of the global AI infrastructure boom. Just this week, Oracle also announced a new $30 billion cloud deal, which will soak up a good chunk of the data center supply created by the database and enterprise software company.
Source: CoStar
The Big Picture: Volatility and Opportunity
There’s no shortage of risk—geopolitics, inflation, Fed uncertainty, tariffs. But the economy is showing surprising resilience. If tariff clarity improves, interest rate cuts materialize, and AI capital spending accelerates, a “boring” market could rapidly turn into a soaring one.
Wade W. Slome, CFA, CFP®
Plan. Invest. Prosper.
This article is an excerpt from a previously released Sidoxia Capital Management complimentary newsletter (July 1, 2025). Subscribe Here to view all monthly articles.
DISCLOSURE: Sidoxia Capital Management (SCM) and some of its clients hold positions in certain exchange traded funds (ETFs), but at the time of publishing had no direct position in any other security referenced in this article. No information accessed through the Investing Caffeine (IC) website constitutes investment, financial, legal, tax or other advice nor is to be relied on in making an investment or other decision. Please read disclosure language on the IC Contact page.
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