I don't agree with the way you classify current AI applications (lameish) as sustaining and future AI applications (new interface possibilities, amazing experiences) as disruptive.
Sustaining x disruptive innovation means, respectively, improving the product along currently valued product attributes for the most profitable customers x reframing value along "new" attribute vectors valued by "poorer" customers.
Sustaining: AI helps your product tackle even harder corner cases. Disruptive: make a simplified version of your product with much less features for a substrate of your customers that think your product is becoming too complicated (AI could help users set it up).
That said, my conclusion is that AI innovations, current and future, lame and amazing, can be both sustaining and disruptive, depending on how they are applied.
I don't agree with the way you classify current AI applications (lameish) as sustaining and future AI applications (new interface possibilities, amazing experiences) as disruptive.
Sustaining x disruptive innovation means, respectively, improving the product along currently valued product attributes for the most profitable customers x reframing value along "new" attribute vectors valued by "poorer" customers.
Sustaining: AI helps your product tackle even harder corner cases. Disruptive: make a simplified version of your product with much less features for a substrate of your customers that think your product is becoming too complicated (AI could help users set it up).
That said, my conclusion is that AI innovations, current and future, lame and amazing, can be both sustaining and disruptive, depending on how they are applied.