How to Bet on AI Without Single-Stock Risk — SMH, DTCR, and Three Names
How to Bet on AI Without Single-Stock Risk — SMH, DTCR, and Three Names
You want AI exposure without betting it all on one ticker
This is the question I get the most these days. "I want AI in my portfolio, but I don't want to be all-in on a single name." Two infrastructure ETFs are doing the work this year, and three individual names are riding alongside them. Here's how I think about the basket.
This is a list-format breakdown — one ticker at a time, kept tight.
1. SMH — the headline semiconductor ETF
Up about 27% YTD. Exactly what the name says — a basket of semis. The value of SMH for me is simple: when you can't pinpoint which chip company is going to be next quarter's winner, you take the whole "AI infrastructure / chips" slice in one move.
The single biggest contributor this year is Micron, up over 50% YTD on its own. The memory cycle is finally lining up with AI datacenter demand, and that combination is doing real work in the ETF.
2. DTCR — data center and digital infrastructure
Up almost 30% YTD. Global X's Data Center & Digital Infrastructure ETF. I've been talking about this one since last year, and the construction is what makes it interesting. It blends data center REITs with semiconductors — names like APLD sit next to Micron, AMD, Broadcom, TSMC, and Nvidia in a single fund.
The macro is the part most people miss. Global data center revenue is projected to expand from $416 billion to $624 billion, driven by generative AI, mobile connectivity, smart grids, and grid-based infrastructure. SMH is the chip layer. DTCR is the chip layer plus the building plus the power. Wider surface area, same direction.
3. APLD (Applied Digital)
Up close to 30% YTD. A datacenter / HPC infrastructure name, also a holding inside DTCR. Direct beneficiary of AI cloud and GPU hosting demand.
4. IREN
Up 21% YTD. Started life as a Bitcoin miner, has been pivoting weight toward AI/HPC hosting. The mining DNA gives it more volatility than SMH or DTCR, but the AI infrastructure exposure is real.
5. NBIS (Nebius)
Up 77% YTD. One of the steepest year-to-date moves I've seen in AI infrastructure. European AI cloud and GPU hosting operator. Too big to ignore, but too narrow to fit cleanly into an ETF — which is why people are running it as a single position alongside the funds.
How I'd actually combine these
If diversification is the priority, one of SMH or DTCR carries the load. If you want sharper AI exposure, the cleaner combo in my view is DTCR plus one or two individual names from APLD, IREN, and NBIS. If you don't want to touch single names at all, SMH alone still captures the chip cycle.
The risk is concentrated and obvious. One soft datacenter revenue guide can shake this whole basket. AI monetization clarity from next week's mega-cap prints will probably set the May tone for every ETF in this category.
More in this Category
Sales Exploding, Stock Stuck: The Complete Nvidia Bull vs Bear Case
Sales Exploding, Stock Stuck: The Complete Nvidia Bull vs Bear Case
Nvidia's revenue rocketed from $16B in 2021 to $253B in under five years, yet the stock has trailed AMD and Micron. Here's my read on Jensen Huang's 'parabolic demand' claim, the three bull cases, and the three bear cases.
Getting Paid to Hold Nvidia: Understanding the Covered Call
Getting Paid to Hold Nvidia: Understanding the Covered Call
If you're torn between selling Nvidia and holding it, a covered call can be the answer. Selling a Sept 18 $250 call pays about $3.37 per share (roughly 8.8% annualized); a $220 call pays $10.39 (about 27%). Here's how it works and where it bites.
Smart Money vs Wall Street: Burry, Buffett and Grantham Are Cautious While Goldman Targets S&P 8,000
Smart Money vs Wall Street: Burry, Buffett and Grantham Are Cautious While Goldman Targets S&P 8,000
Michael Burry is shorting Nvidia and Micron while buying hated value names; Buffett is sitting on nearly $400 billion in cash. Meanwhile Goldman Sachs and Morgan Stanley both target S&P 8,000 by year-end. Here's both cases at full strength — and the 1999 quotes that should give bulls pause.
Next Posts
Why Hyperscalers Are Pouring $200B Into Nuclear PPAs
Why Hyperscalers Are Pouring $200B Into Nuclear PPAs
AI hyperscaler data center spending now runs near $400B per year, and the nuclear PPAs signed by Microsoft, Amazon, and Meta already total over $200B. Here's why the merit-order pricing mechanism makes nuclear an automatic beneficiary.
The Four-Tier Nuclear Stack: Where the Real Leverage Lives
The Four-Tier Nuclear Stack: Where the Real Leverage Lives
From mining to operating utilities, here's a stock-by-stock breakdown of how each tier of the nuclear value chain makes money. Cameco, Centrus, BWXT, Oklo, Constellation, Talen — the leverage sits in different places than you'd think.
A $100 Nuclear Portfolio Allocation Blueprint
A $100 Nuclear Portfolio Allocation Blueprint
How would I split $100 across the nuclear value chain? Operating utilities 50, fuel cycle 25, miners 15, innovation reactors 10. Here's the reasoning, how to adjust for risk tolerance, and the ETF route for simpler exposure.
Previous Posts
AI Memory Showdown: Why Micron Crushed 5 Rivals in a 6-Round Face-Off
AI Memory Showdown: Why Micron Crushed 5 Rivals in a 6-Round Face-Off
When I scored MU, AVGO, MRVL, WDC, STX, and NTAP across six identical metrics, Micron won 4 of 6 rounds with the best margin (41.5%), revenue growth (194.1%), and balance sheet (14.9% debt/equity) in the group.
Hidden Leverage in AI Memory Stocks: Seagate at 1,046% and NetApp at 236% Debt-to-Equity
Hidden Leverage in AI Memory Stocks: Seagate at 1,046% and NetApp at 236% Debt-to-Equity
Among 6 AI infrastructure stocks I scored, Seagate (1,046.6%) and NetApp (236.1%) carry debt-to-equity ratios that vastly exceed the 50% threshold for non-financial companies. The leverage hidden behind their headline growth stories deserves closer scrutiny.
Six AI Infrastructure Roles, One Data Flow: How MU, AVGO, MRVL, WDC, STX, NTAP Differ
Six AI Infrastructure Roles, One Data Flow: How MU, AVGO, MRVL, WDC, STX, NTAP Differ
In an AI datacenter, Micron is the fuel, Broadcom the highways, Marvell the bridges, Western Digital the engine, Seagate the warehouse, and NetApp the traffic control. Six stocks, six distinct positions in the same data stack.