How to Evaluate a Company’s AI Revenue and Growth Claims
This guide explains how to critically assess a company’s claims about AI revenue and growth, helping you distinguish between substantive business results and marketing hype. You’ll learn the key metrics, red flags, and verification steps to apply when reviewing earnings calls, press releases, or pitch decks.
What You’ll Need
- The company’s latest annual report (10-K) and quarterly reports (10-Q) if public, or the most recent financial statements if private.
- Earnings call transcripts or investor presentations (usually available on the company’s IR website).
- A calculator or spreadsheet for simple ratio checks.
- Access to news or industry reports for independent context (optional but helpful).
Step-by-Step
- Define what “AI revenue� actually means in the claim. Look for the exact definition. Does it include only revenue from AI products, or does it include revenue from legacy products that have some AI features? A company might label any software with a chatbot as “AI-driven.� Check the footnotes or the management discussion section for the precise scope.
- Find the base and the period. Determine the starting point and the time frame. A claim like “AI revenue grew 50%� is meaningless without knowing the base. If the base was $1 million and now it’s $1.5 million, that’s tiny in absolute terms. Also note whether the period is year-over-year (YoY), quarter-over-quarter (QoQ), or since a product launch.
- Check the growth rate against the absolute numbers. Calculate the actual dollar increase. For example, if AI revenue grew 200% from $10 million to $30 million, that’s $20 million added. Compare that to the company’s total revenue. If total revenue is $10 billion, the AI growth is immaterial to the overall business. Use the formula: (New Revenue – Old Revenue) / Old Revenue × 100 to verify the stated percentage.
- Look for the “AI� label in segment reporting. Many companies do not break out AI revenue separately. If they do, examine how the segment is defined. Is it a product line, a geographic region, or a customer type? For example, “AI infrastructure� might include servers that are not exclusively used for AI. If the company doesn’t provide a segment breakdown, the claim is likely an estimate or a marketing figure.
- Cross-check with customer or usage metrics. Revenue growth should align with underlying drivers. If the company claims AI revenue tripled, look for supporting metrics like customer count, average contract value, or usage volume. If those are not disclosed, the revenue claim is hard to verify. For example, a company might claim “AI bookings� but not disclose how many customers actually paid for the AI feature.
- Compare with industry benchmarks. If a company claims 300% AI growth while the overall AI software market is growing at 20%, that’s a red flag. Check reputable industry reports or competitor earnings to see if the claimed growth is plausible. However, be cautious—a small base can produce high growth rates that are still legitimate.
- Read the language carefully. Words like “AI-related,� “AI-enabled,� “AI-driven,� or “AI-powered� are vague. “AI-related revenue� might include any revenue from a division that uses AI internally, even if the customer isn’t buying an AI product. Look for phrases like “direct AI revenue� or “AI platform revenue� which are more specific.
- Check for non-GAAP adjustments. Companies often use non-GAAP (adjusted) figures to make growth look better. For example, they might exclude certain costs or include revenue from acquisitions. Compare the GAAP (standard accounting) revenue with the adjusted figure. If the difference is large, the claim may be misleading.
- Look at the future guidance. If the company provides AI revenue guidance, see if it is consistent with past growth. A sudden slowdown or acceleration without a clear reason (like a new product launch) warrants skepticism. Also note whether the guidance is “organic� or includes acquisitions.
- Search for independent evidence. Look for third-party market research, customer reviews, or case studies that mention the company’s AI products. If no independent sources exist, the claim is less credible. Also check if the company’s own press releases from a year ago predicted a different number—if they missed their own targets, that’s a warning sign.
Common Mistakes
- Taking the percentage at face value. A 100% growth rate sounds impressive, but if the base is $500,000, it’s still a tiny business. Always convert to absolute dollars.
- Ignoring the denominator. If a company says “AI revenue is now 10% of total revenue,� check if total revenue itself changed. If total revenue dropped, the percentage could rise without any actual AI growth.
- Confusing bookings with revenue. Bookings (contracts signed) are not revenue until delivered. A company might claim “AI bookings grew 100%� but revenue recognition could be delayed.
- Assuming all AI revenue is recurring. Some AI revenue might be one-time setup fees or consulting. Recurring revenue (subscriptions) is more valuable and more predictable.
- Overlooking currency effects. If the company reports in a different currency, exchange rate fluctuations can inflate or deflate growth. Check if the growth is reported in constant currency.
Tips
- Create a simple spreadsheet with the last 8 quarters of AI revenue (if disclosed) and calculate the quarter-over-quarter growth. This helps spot trends and seasonality.
- Look at the cash flow statement. If AI revenue is growing, there should be associated cash collections. If revenue grows but cash from operations doesn’t, that’s a red flag (though timing can differ).
- Check the management’s tone. In earnings calls, listen to how much time is spent on AI. If they mention AI in the prepared remarks but avoid detailed questions, they may be hiding weaknesses.
- Use the “so what� test. Ask yourself: Does this AI revenue actually move the needle for the company? If not, the claim is more about narrative than substance.
Troubleshooting
What if the company doesn’t disclose AI revenue at all? Then the claim is likely an estimate. Try to find the methodology they used. If they say “we estimate that AI-related revenue is $X,� ask for the basis. If none is given, treat it as unverifiable.
What if the numbers seem inconsistent between quarters? Check for acquisitions or divestitures. A company might acquire an AI startup and then include its revenue retroactively, inflating growth. Look for pro-forma adjustments.
What if the growth rate is too high to be plausible? Re-read the definition. Maybe they are counting revenue from a new product that was just launched, so the base is zero or near-zero. In that case, growth is infinite but meaningless. Ask for the base amount.
What if the company changes the definition of AI revenue between periods? That’s a major red flag. If they suddenly include “AI-enabled� products that weren’t included before, the growth is not comparable. Look for a restatement or a footnote.
Frequently Asked Questions
What is the difference between AI revenue and AI-related revenue?
AI revenue typically refers to sales of products or services that are directly AI-based (e.g., a machine learning platform). AI-related revenue is broader and might include any product that uses AI as a feature, even if the customer isn’t paying specifically for AI.
Should I trust a company’s AI revenue claim if they don’t break it out in financial statements?
No. If it’s not in the audited financial statements, it’s likely an estimate or a marketing figure. Treat it as unaudited and require additional evidence.
How can I check if a company’s AI growth is sustainable?
Look at the renewal rates for AI subscriptions, customer acquisition costs, and the competitive landscape. If the growth is driven by one large customer, it’s not sustainable.
What is a good AI revenue growth rate?
It depends on the base. For a small base (<$10M), 50-100% is plausible. For a large base (>$1B), 20-30% is already strong. Compare with the overall market growth rate.
Why do companies use non-GAAP AI revenue?
To exclude one-time costs or include revenue from acquisitions to show a smoother growth trend. Always compare with GAAP revenue to see the real picture.
Can I trust AI revenue claims in press releases?
Press releases are not audited. Always verify with the 10-Q or 10-K filing. If the claim is only in a press release and not in the financial statements, it’s likely promotional.
Related
Method: the standard formula for this calculation, rounded as each result states. See how the calculators work or report an error.