Ask ten analysts for the best AI stocks and you get ten lists. Ask the disclosure filings and you get one answer, because hedge funds and institutions must report what they own every quarter, in dollars.
The filings answer is concentrated and stable. As of the first quarter 2026 filings, the most institutionally backed AI names were Microsoft (MSFT) at about $64.7 billion across 310 funds, Amazon (AMZN) at $65.4 billion across 305 funds, and Nvidia (NVDA) at $62.9 billion across 279 funds. By early second quarter 2026, filing season was revealing the shift: Nvidia emerged as the most reported position at $17.9 billion across 74 funds reporting so far, followed by Microsoft at $15 billion across 91 funds. Breadth matters because it measures conviction across independent committees, not one loud voice. A name held by 300 funds has survived 300 separate risk reviews.
The Ownership Map: Where Institutions Stand
The table below shows the professional ownership landscape from Q1 2026 filings, alongside current valuations and growth multiples as of early August 2026. Notice the divergence between breadth (funds holding) and recent positioning shifts emerging in Q2 filings.
| Stock | Funds (Q1) | Value | Fwd P/E | PEG | 21d move | Notes |
|---|---|---|---|---|---|---|
| Microsoft (MSFT) | 310 | $64.7B | 20.8 | 1.52 | +24.9% | Highest overbought (RSI 81); strong institutional backing persists |
| Nvidia (NVDA) | 279 | $62.9B | 16.0 | 0.55 | +6.1% | Q2 filings show 74 funds reporting $17.9B; lowest PEG, widest Q2 positioning |
| Amazon (AMZN) | 305 | $65.4B | 27.5 | 1.46 | +17.0% | Most funds, highest forward multiple; AWS cloud infrastructure tailwind |
| Alphabet (GOOGL) | 260 | $64.6B | 25.3 | 0.97 | -3.1% (63d) | Elevated multiple despite Search + Cloud AI upside; modest Q2 filing activity |
| Meta (META) | 323 | $68.1B | 16.9 | 0.83 | -3.0% (63d) | Quiet strength: lowest fund turnover, cheapest relative to growth, flat 3-month price |
| Taiwan Semi (TSM) | 282 | $55.7B | 18.8 | 0.98 | -6.5% (21d) | Foundry capacity tight; July 2026 SK semiconductor exports +178.8% YoY |
| Broadcom (AVGO) | 286 | $33.6B | 20.1 | 0.44 | +8.8% | Lowest enterprise multiple of semis; recently accumulating (Q2 positioning active) |
| Micron (MU) | 173 | $19.9B | 5.3 | 0.12 | -15% / +53% (63d) | Extreme value: memory-cycle fear created discount; still up 53% over 3 months |
Source: Bargo Q1 2026 fund filings. Q2 2026 filing season incomplete (154 of ~674 filings).
Which Look Cheapest for the Growth?
By forward earnings relative to expected growth-the PEG ratio-the standouts as of early August were stark:
Micron (MU)
at 5.3x forward earnings with a 0.12 PEG is trading at an extreme discount. The one-month 15% pullback reflects memory-cycle fear, but the 3-month 53% gain and South Korea’s July 2026 semiconductor exports running 179% above prior year suggest institutions see the cycle turning. Deep Sail Capital’s Q2 letter cautioned against shorting memory stocks yet, noting valuations are “driven largely on price hikes that will eventually reverse”-suggesting the fear is pricing in too much downside.
Nvidia (NVDA)
at 16.0x forward with a 0.55 PEG is the counterintuitive bargain. At $5 trillion, it is the world’s largest company, yet it trades at a lower forward multiple than Amazon or Alphabet heading into its August 26, 2026 earnings report. The PEG below 0.6 suggests growth expectations are priced below intrinsic momentum. Q2 filings show the highest institutional activity: 74 funds reporting positions in early season, already at $17.9B committed capital.
Meta (META)
at 16.9x forward with a 0.83 PEG is the quiet one. It’s held by 323 funds, making it a conviction name. The stock has been flat for three months while the rest of AI leadership rallied, creating a valuation and momentum mismatch. Parnassus Growth and Riverpark Large Growth fund letters both flagged concerns about software disruption risk in Q1 2026, suggesting some positions rotated out early. Institutions are either taking the other side of that trade or waiting for better entry points.
Broadcom (AVGO)
at 20.1x forward and a 0.44 PEG is the hidden AI beneficiary. Unlike Nvidia, which faces consensus positioning, AVGO trades below the semis group consensus and carries half the PEG multiple. Q2 positioning data shows active accumulation; up 8.8% in 21 days despite a 63-day decline. The company’s infrastructure position is less obvious-it sits in interconnect, switching, and optical-but that invisibility is precisely why funds are finding value.
At the expensive end, AMD traded near 35x forward earnings after a 34% three-month run, a price that assumes clean execution against Nvidia’s dominance. That’s a loaded bet.
What Institutional Moves Tell You
Fund letters from Q1 2026 reveal the depth of the AI valuation debate. Wasatch Global noted they were “overexposed to companies with perceived AI disruption risk” but believed the market took an “undiscerning view” of AI, “painting entire industries with a broad brush.” Riverpark Large Growth documented “two powerful and opposing AI-driven rotations that dominated investor sentiment: enthusiasm for semiconductor companies levered to AI infrastructure spending, and deep pessimism around companies or industries AI might displace.”
The divergence between Q1 broad fund positioning (MSFT, AMZN, NVDA, GOOGL dominating by fund count) and early Q2 filing season activity (NVDA leading new capital deployment) suggests institutions are rebalancing within consensus holdings rather than abandoning them. MSFT’s 24.9% rally in 21 days pulled its RSI to 81-overbought territory-while NVDA at RSI 45 suggests room to run.
The Bottom Line
One caution: filings arrive on a legal delay of about 45 days, so they show what funds held recently, not this morning. Treat them as a conviction map, not a trade ticket. The early Q2 2026 filings, about 150 funds in with 520 still to report, already showed Nvidia and Broadcom as the most active positions in the filing season, signaling where institutions are currently deploying capital against where they were positioned in March.
The best AI stocks by the data are the ones where broad fund ownership meets a multiple you can defend. Right now, that overlap sits at three tiers:
- Institutional conviction + reasonable value: Nvidia, Meta (16-17x forward, <1.0 PEG)
- Breadth + current accumulation: MSFT, GOOGL, AMZN (though stretched on recent rallies; watch entries)
- Cycle opportunity: Micron (extreme valuation, institutional patience being tested, historical pattern suggests recovery)
That convergence refreshes every quarter whether the narrative does or not. By the time Q3 filings drop in late October, today’s “quiet strength” stocks (like Meta) will be either vindicated or vulnerable. The institutions will have already told you which.
Research provided by Bargo.ai