Why can no one get Jevons paradox right? It's not that demand goes up when price goes down. That's not paradoxical, that's near enough tautological.
Jevons is when efficiency of usage of an input improves, such that less is needed per unit output, but total usage actually increases. That's the difference between "AI makes code faster to write so more is written" vs "AI makes code faster to write, which so greatly increases the demand for code that humans spend more TIME coding."
There is no Jevons paradox in what you describe in this article.
The concierge model you're describing already existed in home services.
I watched a national painting company run an in-house call center where reps knew customers by name, knew the crews, and knew the neighborhoods. Customer retention was a competitive weapon, not a line item.
Leadership replaced it with AI tools and agency support. Sold it internally as a transformation.
The AI bot started telling customers, "We don't offer painting services." At a painting company.
Enterprise accounts walked. Not because the AI was broken. Because nobody was paying attention to whether it worked.
Your Jevons paradox framing is right. Demand for real attention is elastic and enormous. But most companies aren't deploying AI to increase attention. They're deploying it to reduce costs and calling it "concierge".
The companies that win this will be those that use AI to make their best people better. Not to eliminate the people who made them the best.
Right went to Right to claim his right. When Right refused to give his right, Right took action about Right concerning his right. That's main problem 😀🤣
My ai Social Shopping network. I think I have found a solution for Scalable Human to Human high level attention (combined with Agent to Agent and Customer to Agent) that will feel like a return of the feeling of "they really care" throughout the Box customer experience.
Interestingly I also decided that High Value products was the best way to gain adoption by People on my platform who will want a high level of customer experience. Which will give me the opportunity to test my ideas as I gradually lower the price point for purchasing. To broader our customer base/increase Sales whilst having the experience to maintain just as high or higher level of customer attention.
Serving customers is a fundamental function of all enterprises, and is wildly misunderstood. Customer service is more than an activity confined to a department. And, more importantly, is a demand-driven process whereby demand to be served will nearly always outstrip supply. The internet didn’t ruin customer service, rather it unearthed demand that had been hidden. A similar trend is emerging as AI is used to push resolution up the funnel. As products and services get increasingly complex - and the velocity of new products increases - the discipline of customer service is morphing, AI is helping, and the future is bright.
Why can no one get Jevons paradox right? It's not that demand goes up when price goes down. That's not paradoxical, that's near enough tautological.
Jevons is when efficiency of usage of an input improves, such that less is needed per unit output, but total usage actually increases. That's the difference between "AI makes code faster to write so more is written" vs "AI makes code faster to write, which so greatly increases the demand for code that humans spend more TIME coding."
There is no Jevons paradox in what you describe in this article.
“what becomes possible when the marginal cost of a customer interaction approaches zero?” - outcome based pricing gets in the way of this thesis.
The concierge model you're describing already existed in home services.
I watched a national painting company run an in-house call center where reps knew customers by name, knew the crews, and knew the neighborhoods. Customer retention was a competitive weapon, not a line item.
Leadership replaced it with AI tools and agency support. Sold it internally as a transformation.
The AI bot started telling customers, "We don't offer painting services." At a painting company.
Enterprise accounts walked. Not because the AI was broken. Because nobody was paying attention to whether it worked.
Your Jevons paradox framing is right. Demand for real attention is elastic and enormous. But most companies aren't deploying AI to increase attention. They're deploying it to reduce costs and calling it "concierge".
The companies that win this will be those that use AI to make their best people better. Not to eliminate the people who made them the best.
Right went to Right to claim his right. When Right refused to give his right, Right took action about Right concerning his right. That's main problem 😀🤣
Very nice example of the unchanging emotions of bad customer service.
At https://www.boxrewards.shop/
My ai Social Shopping network. I think I have found a solution for Scalable Human to Human high level attention (combined with Agent to Agent and Customer to Agent) that will feel like a return of the feeling of "they really care" throughout the Box customer experience.
Interestingly I also decided that High Value products was the best way to gain adoption by People on my platform who will want a high level of customer experience. Which will give me the opportunity to test my ideas as I gradually lower the price point for purchasing. To broader our customer base/increase Sales whilst having the experience to maintain just as high or higher level of customer attention.
Serving customers is a fundamental function of all enterprises, and is wildly misunderstood. Customer service is more than an activity confined to a department. And, more importantly, is a demand-driven process whereby demand to be served will nearly always outstrip supply. The internet didn’t ruin customer service, rather it unearthed demand that had been hidden. A similar trend is emerging as AI is used to push resolution up the funnel. As products and services get increasingly complex - and the velocity of new products increases - the discipline of customer service is morphing, AI is helping, and the future is bright.