{"id":7170,"date":"2025-08-27T01:21:22","date_gmt":"2025-08-27T01:21:22","guid":{"rendered":"https:\/\/eodhd.com\/financial-academy\/?p=7170"},"modified":"2026-11-09T10:52:31","modified_gmt":"2026-11-09T10:52:31","slug":"how-to-invest-into-ai-companies","status":"publish","type":"post","link":"https:\/\/eodhd.com\/financial-academy\/financial-faq\/how-to-invest-into-ai-companies","title":{"rendered":"How to Invest in AI Companies in 2026: Stocks, ETFs and the Data Behind Them"},"content":{"rendered":"\n

There are three practical ways to invest in AI companies: buy shares of listed companies that build or supply AI, buy an AI or robotics ETF, or combine the two. The companies most AI models depend on are spread across several layers: chip designers, chip manufacturers and their equipment suppliers, memory makers, the cloud and model companies, and the data centers that host it all.<\/p>\n\n\n\n

This guide doesn’t pick winners. It shows how to compare AI stocks and ETFs with data, using EODHD fundamentals and price history for 15 stocks and 3 ETFs, pulled on November 4, 2026 with prices up to November 3. Two results stand out. Valuations differ widely within AI: forward P\/E ranged from 4.8 to 65.4 across the 15 stocks. And although the average correlation of their daily returns over the last year was only 0.30, on the basket’s five worst days at least 13 of the 15 fell together.<\/p>\n\n\n\n

This article is for educational purposes and is not financial advice.<\/p>\n\n\n\n

Register & Get Data<\/span><\/a><\/p>\n\n\n\n\n\n\n

What are the ways to invest in AI?<\/h2>\n\n\n\n
Approach<\/th>What you buy<\/th>Trade-off<\/th><\/tr><\/thead>
Individual AI stocks<\/td>Shares of companies across the AI supply chain<\/td>Full control, but you carry each company’s risk<\/td><\/tr>
AI and robotics ETFs<\/td>A basket chosen by an index or a manager<\/td>Diversified, but with fees and holdings you don’t choose<\/td><\/tr>
A mix<\/td>A core ETF plus a few individual stocks<\/td>More work to monitor, and positions can overlap<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Whichever route you take, look at what you actually own. An ETF with “AI” in its name may hold robotics, healthcare or industrial companies, as the ETF data below shows.<\/p>\n\n\n\n

Which AI stocks can you invest in, by layer?<\/h2>\n\n\n\n

The table groups 15 listed companies by their main role in AI. It is a sample to compare, not a recommendation list:<\/p>\n\n\n\n

Layer<\/th>Companies<\/th>Role<\/th><\/tr><\/thead>
Chips<\/td>NVIDIA (NVDA), AMD (AMD), Broadcom (AVGO), Marvell (MRVL)<\/td>Design AI accelerators, custom chips and networking<\/td><\/tr>
Manufacturing<\/td>TSMC (TSM), ASML (ASML), Applied Materials (AMAT)<\/td>Make the chips, or the machines that make them<\/td><\/tr>
Memory<\/td>Micron (MU)<\/td>High-bandwidth memory used in AI servers<\/td><\/tr>
Cloud and models<\/td>Microsoft (MSFT), Alphabet (GOOGL), Amazon (AMZN), Meta (META)<\/td>Run AI clouds and build models and AI products<\/td><\/tr>
Devices<\/td>Apple (AAPL)<\/td>Brings AI features to phones and computers<\/td><\/tr>
Data centers<\/td>Equinix (EQIX), Digital Realty (DLR)<\/td>Real estate investment trusts that lease data center space<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Can I invest in private AI companies like OpenAI or Anthropic?<\/h2>\n\n\n\n

Not directly. A search of the EODHD symbol database on November 4, 2026 returned no listed shares for OpenAI, Anthropic, Perplexity or Midjourney. For OpenAI and Anthropic, the only results were ETFs with the company’s name in their title. If you consider one of those, check what it actually holds before buying.<\/p>\n\n\n\n

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import os
import requests

API_KEY = os.environ.get(\"EODHD_API_KEY\", \"demo\")

for name in [\"OpenAI\", \"Anthropic\", \"Perplexity\", \"Midjourney\", \"Kuaishou\"]:
    hits = requests.get(f\"https:\/\/eodhd.com\/api\/search\/{name}\",
                        params={\"api_token\": API_KEY, \"fmt\": \"json\", \"limit\": 5}, timeout=60).json()
    found = [f\"{h['Code']}.{h['Exchange']} ({h['Name']}, {h['Type']})\" for h in hits]
    print(f\"{name:<11} {found if found else 'no listed match'}\")<\/code><\/pre>\n\n                <\/div>\n                
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