Your Complete Artificial Intelligence Stocks to Buy Checklist for Stock Analysis
Artificial intelligence stocks to buy is one of the most searched phrases in investing right now, and most of what surfaces is noise. A company slapping "AI" on a press release does not make it a durable investment. The filter that matters is the same one applied to any other stock: does this business earn high returns on capital, is it priced reasonably relative to those returns, and is the accounting clean? This checklist gives you a repeatable process to answer those three questions for any AI candidate.
Key Takeaways
- The AI label alone does not create investment value. ROIC and free cash flow are the scorecards that matter.
- Pure-play AI infrastructure names often trade at premium multiples that require strong growth assumptions to justify.
- A high Piotroski F-Score (7 to 9) signals improving financial health, a useful filter for early-stage AI growth companies.
- MSFT's P/E of 32.1 and ROIC of 35.2% represent a benchmark for pricing high-quality AI exposure.
- AAPL at P/E 28.3 and ROIC 45.1% shows what top-tier capital efficiency looks like in a mature tech business.
- Use the ValueMarkers screener to apply P/B, P/E, and Piotroski filters simultaneously across thousands of global AI tickers.
The Checklist: 8 Filters Before You Buy Any AI Stock
1. Define the AI revenue exposure
What percentage of the company's current revenue comes from AI-specific products? A company deriving 3% of revenue from an AI division while 97% comes from legacy software is a legacy software stock with an AI marketing angle.
2. Check ROIC above 10%
Return on invested capital above 10% means the company earns more than its cost of capital. AAPL's ROIC of 45.1% and MSFT's 35.2% set the benchmark. A semiconductor equipment company with ROIC of 8% is destroying value regardless of the AI narrative attached to it.
3. Apply a P/E sanity check
MSFT at 32.1x and AAPL at 28.3x are reference points for profitable, high-ROIC AI businesses. A money-losing AI company asking for 60x sales is a different category of risk. For unprofitable companies, use enterprise value to gross profit instead.
4. Run the Piotroski F-Score
The Piotroski F-Score runs from 0 to 9 across nine financial health signals. A score of 7 to 9 signals improving strength. For AI companies spending heavily on infrastructure, this score distinguishes genuine improvement from deteriorating fundamentals dressed up in growth narrative.
5. Verify free cash flow conversion
For AI infrastructure companies, check whether capex is scaling faster than revenue growth. A company spending $5 billion annually on GPU clusters with no monetization of that capacity is making a venture bet, not a value investment.
6. Check debt-to-equity and interest coverage
Heavy capex for AI infrastructure often means rising debt. A company with debt-to-equity above 2.0 in a 4%+ rate environment needs to grow its way out of an expensive capital structure. That is a scenario bet.
7. Screen for share issuance
Dilution is common in early-stage AI companies. Check whether share count is growing faster than revenue. Check whether executives have sold material amounts of stock in the past 12 months. These are integrity signals the Piotroski score does not fully capture.
8. Apply the VMCI Score
The ValueMarkers VMCI Score weights five pillars: Value (35%), Quality (30%), Integrity (15%), Growth (12%), and Risk (8%). A high composite score means the stock passes a multi-factor review simultaneously. Use this as a final gate before adding to your watchlist.
AI Stock Categories and What to Screen For
| Category | Example Tickers | Key Metric | Common Risk |
|---|---|---|---|
| AI Semiconductors | NVDA, AMD, AVGO | Gross margin, revenue growth | Cyclicality, inventory |
| Cloud AI Infrastructure | MSFT Azure, AWS, GCP | ROIC, free cash flow margin | Capex acceleration |
| AI Software (SaaS) | CRM, ADBE, SNOW | Net revenue retention | Competition from foundation models |
| Enterprise AI Adopters | JNJ, KO, JPM | Cost reduction from AI deployment | Slower monetization |
MSFT sits in Cloud AI Infrastructure with P/E 32.1 and ROIC 35.2%. That combination makes it one of the few large-cap names where the AI premium appears partially justified by current capital returns, not pure expectation.
Red Flags That Override Any AI Story
Stop your analysis if you see: revenue growth decelerating while share count grows; gross margin compression; operating cash flow negative while net income is positive; CEO or CFO departure without explanation; auditor change in the past 18 months without a clear reason. None automatically mean the stock is a bad investment, but all require a documented explanation before you commit capital.
Further reading: SEC EDGAR · FRED Economic Data
Why AI stocks screener Matters
This section anchors the discussion on AI stocks screener. The detailed treatment, formula, and worked examples appear in the body of this article above. The points below summarize the most important takeaways for value investors who want to apply AI stocks screener in real portfolio decisions. ValueMarkers exposes the underlying data on every covered ticker via the screener and stock profile pages, so the concepts in this article translate directly into actionable filters.
Key inputs for AI stocks screener
See the main discussion of AI stocks screener in the sections above for the full treatment, including the inputs, the calculation methodology, the typical sector benchmarks, and the most common pitfalls to avoid. The ValueMarkers screener lets value investors filter the full universe of 100,000+ stocks across 73 exchanges using AI stocks screener alongside the rest of the 120-indicator composite, with sector percentiles and historical trends shown on every stock profile.
Sector benchmarks for AI stocks screener
See the main discussion of AI stocks screener in the sections above for the full treatment, including the inputs, the calculation methodology, the typical sector benchmarks, and the most common pitfalls to avoid. The ValueMarkers screener lets value investors filter the full universe of 100,000+ stocks across 73 exchanges using AI stocks screener alongside the rest of the 120-indicator composite, with sector percentiles and historical trends shown on every stock profile.
Related ValueMarkers Resources
- Piotroski F-Score — Piotroski F-Score captures the reliability of reported earnings versus underlying cash flow
- Pe Ratio — Glossary entry for Pe Ratio
- Pb Ratio — Glossary entry for Pb Ratio
- Ai Stock Screener — related ValueMarkers analysis
- Machine Learning On Stock Market — related ValueMarkers analysis
- Best Monthly Dividend Stocks — related ValueMarkers analysis
Frequently Asked Questions
is coca cola a good stock to buy
KO has a P/E of 23.7 and a dividend yield of 3.0% with more than 60 consecutive years of dividend growth. It is a classic defensive compounder rather than an AI play. KO does use AI for supply chain optimization, but its investment case rests on brand durability and distribution. Run it through the VMCI Value and Quality pillars to see where it stands today.
how to invest in stock options
Stock options give you the right to buy or sell shares at a fixed price before a specific date. Buying call options on AI stocks gives leveraged upside if the stock rises but a total loss of premium if it does not. For most long-term value investors, options add complexity without proportionate return improvement. Limit premium spent to a small portfolio percentage and only on companies you would buy outright.
is ko stock a good buy
At a P/E of 23.7 and yield of 3.0%, KO is not cheap, but it has rarely been cheap because the market prices in consistency. The Piotroski F-Score for KO has historically sat in the 6 to 8 range. Use the ValueMarkers screener to compare its current VMCI score against other consumer staples names before deciding.
what's equivalent to motley fool epic plus
Motley Fool Epic Plus combines stock recommendations with educational content and model portfolios. ValueMarkers focuses on the screening and fundamental analysis layer: 120+ indicators, 73 exchanges, the VMCI Score, and a DCF calculator. These are tools for investors who want to do their own analysis rather than follow recommendations from a third party.
how to invest in private companies before they go public
Private market access typically requires accredited investor status (net worth above $1 million excluding primary residence, or annual income above $200,000). Platforms like Forge and EquityZen allow secondary purchases of pre-IPO shares. This carries illiquidity risk and limited financial disclosure compared to public markets. ValueMarkers covers public markets only.
what stocks to buy
Start with process, not names. Screen for ROIC above 15%, P/E below the 10-year sector average, Piotroski F-Score above 6, and VMCI composite above 70. Narrow the list by sector and existing portfolio concentrations. The ValueMarkers screener applies all these filters across 73 exchanges simultaneously.
Use the ValueMarkers screener to apply the P/E, P/B, Piotroski F-Score, and VMCI Score filters to AI stocks across 73 global exchanges. Start with fundamentals, not headlines.
Written by Javier Sanz, Founder of ValueMarkers. Last updated April 2026.
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Disclaimer: This content is for informational and educational purposes only and does not constitute investment advice, a recommendation, or an offer to buy or sell any security. Past performance does not guarantee future results. Consult a licensed financial advisor before making investment decisions.