If a device is already IoT, that diminishes the value-add of TinyML. Just send all the data home and run inference there, at greater efficiency and with the possibility to find other revenue streams for that data.
Or the other way around, if a device uses TinyML there's less reason to make it IoT, and the people who appreciate TinyML are probably exactly those who oppose IoT.
Or the other way around, if a device uses TinyML there's less reason to make it IoT, and the people who appreciate TinyML are probably exactly those who oppose IoT.