☀️ AI Morning Minute: AI Washing
When companies slap "AI" on everything and hope you won't ask questions
Every product page, investor pitch, and press release seems to include the letters A and I these days. Some of those products genuinely use artificial intelligence. Some of them are a spreadsheet with a new logo. Telling the difference is getting harder on purpose.
What it means:
AI washing is the practice of exaggerating or fabricating the role of artificial intelligence in a product, service, or company. It's the AI version of "greenwashing," where companies claim to be environmentally friendly without doing the work. A company might call its product "AI-powered" when it's running basic if/then rules, or claim "machine learning" when a human is manually updating the system behind the scenes.
Why it matters:
Regulators are starting to pay attention. The SEC has already charged companies with making misleading claims about their AI capabilities to attract investors. If you tell shareholders your product uses “advanced AI” and it doesn’t, that’s securities fraud, not just marketing hype.
It erodes trust in legitimate AI products. When every mediocre tool calls itself AI-powered, people stop believing any of them. Companies doing real machine learning have to work harder to convince customers their product is actually different from the noise.
It inflates valuations. A startup that adds “AI” to its pitch deck can command a higher valuation than one doing the same thing without the label. That draws investment money away from companies building genuine technology and toward companies building better slide decks.
Simple example:
A restaurant puts "farm-to-table" on its menu. Maybe they buy from local farms. Maybe they buy the same frozen supply as everyone else and added a sticker. You can't tell from the menu. AI washing works the same way. A company says "powered by AI" on the landing page, but you can't see the kitchen. The product might run on a real machine learning model. Or it might be a script someone wrote in an afternoon with a chatbot logo on top. The label tells you nothing. The ingredients tell you everything.