IoT: The Internet and the Thing Were Never the Hard Part
The technology worked. That was almost the whole problem.
By the mid-2010s, you could attach a sensor to almost anything and get data back to a dashboard within minutes. Temperature. Humidity. Pressure. Vibration. Location. Fill levels. Energy consumption. Brake conditions. Door status. Water leakage. Machine anomalies. The hardware was cheap. Connectivity was available. Cloud storage cost almost nothing.
The pitch was clean: replace a dumb device with a smart one, detect problems before they become expensive, automate the response, show the ROI on a slide. Customers nodded. Pilots launched. The proofs-of-concept worked.
And then almost nothing scaled.
Not because the sensors failed. Because the industry had mistaken the technical problem for the actual one.
When Sensors Start Measuring People
The easy cases in IoT are easy for a specific reason.
A flood sensor does not care who watches it. A transformer does not worry about how its vibration data will be used next year. A parking space does not suspect the city is building a behavioral profile. When the sensor measures a physical condition with no human attached to the consequence, adoption is straightforward. The benefit is immediate. The perceived risk is low.
The friction arrives the moment data stops describing a condition and starts describing a person.
