Henry Ford probably never said “If I had asked people what they wanted, they would have said faster horses.” The quote first surfaced in a 2001 marketing magazine letter, 54 years after Ford died. No historian has found it in his autobiography, his letters, or the Ford Museum’s archive of 200 verified quotes.
Which makes the irony perfect. The most famous quote about not thinking big enough is itself a myth we repeat without questioning. We do not even check the source of the story we use to warn people about not checking their assumptions.
That is exactly what is happening with AI right now.
Most companies are building faster horses. They take an existing process, bolt AI onto it, and call it transformation. Customer service gets a chatbot. Legal gets a contract summarizer. Marketing gets a content generator. The process stays the same. It just runs quicker.
McKinsey’s 2025 State of AI report puts a number on this. Only 55% of AI high performers actually redesign their workflows. The rest accelerate what already exists. MIT Sloan found the bottleneck is not model quality or data. It is organizational design. The technology is ready. The thinking is not.
Ford’s actual contribution was not speed. He did not make carriages faster. He made the carriage irrelevant. The assembly line was not an improvement to an existing production method. It was a fundamentally different way of organizing work, materials, and people. The resistance was not technical. It was conceptual. People could not see past the cart.
The pattern repeats with every general-purpose technology. Early automobiles looked like horse carriages with engines strapped on. Early television was filmed radio. Early websites were digital brochures. In every case, the first instinct was to pour the new capability into the old container. Real value only emerged when someone asked a different question. What can we do now that was impossible before?
A telecom cutomer of ours did not use AI to make customer service faster. They restructured it. Their AI assistant handles the workload equivalent of 50 agents, resolving issues in 45 minutes instead of 7 hours. The difference is not speed. It is architecture. They did not optimize the old model. They replaced it.
Three questions for any AI project. Are we making the existing process faster, or are we questioning whether the process should exist? Are we measuring speed improvement, or capability expansion? Would Henry Ford, the real one, recognize what we are doing as a faster horse?
If the answer to that last question is yes, you are building the wrong thing.
—
Sources:
– Quote Investigator (2011), Snopes (2025), HBR (2011)
– McKinsey, “The State of AI in 2025”
– HBR, “The Last Mile Problem Slowing AI Transformation” (2026)
