Everyone Is an AI Company Now, Which Means Nobody Is

I counted the word "AI" on the homepages of the last 40 SaaS companies that cold-emailed me. Median: 11 mentions. One project-management tool used it 34 times. A company that sells standing desks now describes itself as "an AI-native ergonomics platform." We have officially hit the point where the term tells you nothing.

The tell is the verb

Real AI companies describe what the model does. Fake ones describe what the category feels like. Watch the verbs.

• "Our AI drafts the first-pass reply and flags the 3 accounts most likely to churn." That's a claim. I can test it.
• "AI-powered intelligence that transforms how teams collaborate." That's a smell. There's no object, no output, nothing to measure.

If a sentence about AI still makes sense with "AI" deleted, the AI isn't doing anything. Try it on your own landing page. It's a humbling exercise.

Why this happened

Two forces collided. First, boards started asking every CEO "what's your AI strategy" in Q3 2024, and "we bolted GPT onto search" became a survival answer. Second, the cost of sounding like an AI company dropped to zero while the cost of being one — data pipelines, evals, retrieval that doesn't hallucinate your pricing — stayed high. When the gap between claim and capability is that wide, marketing fills it.

The hype cycle doesn't punish exaggeration. It punishes silence. So everyone talks.

The receipts test

Here's how I now vet any "AI company" before I take a meeting:

1. Ask for one number. "What's your model doing that a good if-statement couldn't?" A real team answers in a sentence. A fake one pivots to vision.
2. Ask what breaks. Every genuine AI product has a failure mode the team can describe precisely. If they claim it never hallucinates, they haven't shipped to real users.
3. Ask about evals. "How do you know a new model version is better?" If the answer is "vibes" or "the demo looked good," that's your answer.

I run this on tools I buy for my own stack too. When I onboarded outreach automation for Reachium, the question wasn't "is it AI." Everything is. The question was "does the personalization model beat a mail-merge on reply rate," and I made them show me the A/B. It did — 2.3x — which is why it's in the stack. That's the standard. Not the noun.

What this means for operators

If you're building, stop competing on the word. You can't win it; a mattress startup already took it. Compete on the thing the word is supposed to point at:

• Ship a benchmark your competitors can't match and put the methodology in public.
• Name your failure modes before a customer finds them.
• Replace one adjective on your homepage with one number this week.

If you're buying, treat "AI-powered" as noise floor. It's the new "cloud-based" — technically true, informationally empty. The signal is downstream: what does it output, how often is it wrong, and what happens when it is.

The correction is coming

Labels inflate until they collapse. "Big data" meant something in 2012 and nothing by 2016. "Web3" had a shorter half-life. "AI company" is on the same curve, and I'd guess we're 12-18 months from the term becoming a mild liability in enterprise sales — the moment a CIO hears it and reaches for the receipts instead of the checkbook.

The companies that survive that correction won't be the ones who said "AI" the most. They'll be the ones who, when the word stopped meaning anything, still had a product that did the thing. Everyone is an AI company now. Soon, that'll be the least interesting fact about any of them.

No hype. Just receipts. Start collecting yours.