Anyone who has arrived at a Kerala railway station or airport as an unfamiliar visitor knows the feeling. Before the bag hits the ground, three auto-rickshaw drivers are already negotiating. The meter is broken. The route is very long today — traffic, you see. Twenty minutes later, having passed the same junction twice, the fare is triple what it should have been.
Nobody called the driver evil. He was running a business model that works on one condition: the passenger does not know the route.
The moment the passenger pulls out Google Maps, everything changes. The driver straightens up. The meter suddenly works. The route becomes direct.
The passenger was never powerless. They were just uninformed.
The Silicon Valley Auto Stand
The broken meter
Passenger doesn't know the route. Driver takes the scenic detour. Fare runs up. Passenger pays for ignorance.
The token counter
User doesn't understand AI economics. System processes vague prompts inefficiently. Bill runs up. User pays for ignorance.
The person in the Silicon Valley boardroom selling "revolutionary AI solutions" is running the exact same operation. The suit is better. The terminology is different. But the mechanic is identical — keep the meter running as long as the passenger doesn't know the route.
In AI systems, the meter is called a token. Every word processed, every prompt submitted, every unnecessary back-and-forth — it runs the meter. The business model is not built around getting you to your destination efficiently. It is built around the journey lasting as long as possible.
This is not evil. It is rational. The driver feeds his family by keeping the meter running. The cloud computing company feeds its shareholders the same way. The real question is never about the driver. It is always about the passenger.
The Laziness Tax
The tech industry has correctly identified one fundamental truth about human behaviour: people will pay generously to avoid thinking.
A business leader spends thirty minutes in a back-and-forth AI conversation to get a simple answer they could have found in three minutes with a direct search.
A student feeds a vague prompt, receives a vague answer, refines the prompt, receives another answer, refines again — running the meter the entire time — when one clear specific question would have cost a fraction of the tokens.
Someone asks an AI to write a 500-word philosophical essay just to find out what time the grocery store closes.
The tool is not the problem. The passenger who climbs in, leans back, and watches the meter run — that is the problem.
Knowing the Route
The moment a user genuinely understands how AI token economics work — what drives cost, what drives latency, what drives quality — the dynamic changes immediately.
Specific prompts cost less than vague ones. Structured requests return better results than conversational ones. Knowing when to use AI and when to look at the map yourself is the difference between a tool and a dependency.
This is not anti-technology. It is pro-literacy.
The tourist who uses Google Maps is not anti-auto-rickshaw. They simply know the route. And knowing the route is what turns the passenger into the one in control of the journey.
Three Types of Passenger
The Enthusiast
Climbs into every auto-rickshaw because the future is exciting. Pays premium for every scenic detour. Never checks the meter.
The Sceptic
Refuses to get in at all. Walks everywhere on principle. Misses genuine value while being right about the overcharging.
The Auditor
Checks the meter before the journey starts. Knows the route. Gets to the destination without paying for detours.
VGC's position on AI is not enthusiast and not sceptic. It is auditor.
The auditor's job is to see the traps in the system before the client even knows they are in one — not with hype, not with fear, but with a map.
The driver isn't the problem.
Stop being a clueless tourist.