To help you think about how long it will take for this to happen, and to take a look at Gartner's artificial intelligence adoption curve , I leave you with this statement:
If we have not yet accepted or understood the
telegram usa number use of cookies, do you think we are ready to incorporate artificial intelligence into our daily lives? Can you imagine an SME incorporating AI into its processes?
It's one thing to be able to do things that until recently were unthinkable (still with a relatively low quality) and quite another to incorporate it into our daily work. The fact that there are consultants or agencies that make more or less interesting proposals does not mean that they are correct, or that we should incorporate them into our processes. We are still playing with technology and learning.
In this sense, I really like Ben Evans' phrase: “ The future can take a long time ” . In this article he provides data on the speed of adoption of new technologies.
How many companies do you think have incorporated the cloud into their work processes in the USA? It's a technology that seems almost outdated, right? Well, look at the data .
It also delves into the future consequences of job creation/destruction and what has been happening for the last 200 years.
How will we apply artificial intelligence to the purchasing process?
But as I have said more than once, we have to train ourselves now so that we are ready when it really comes to our daily lives.
In this sense, I really like Jeremiah Owyang 's reflection on the role that generative artificial intelligence could play in the purchasing process.
The underlying premise is that artificial intelligence will be able to guide us through the sales process in a proactive way. Let's see what this means.
Artificial intelligence and purchase funnel Jeremiah Owyang
Artificial intelligence in the purchase funnel
Knowledge : The expected future of AI is that it will understand what we need based on our data and anticipate our needs. Now we can ask ChatGPT for suggestions on choosing the best running shoes, but what if AI knew when we were going to need them and suggested the most suitable model for us based on our data?
Purchase consideration : If we are in the next phase, AI's contribution could be to compare products for you and suggest the most suitable one (even based on data that you do not have present or are not aware of).
Shopping : The next step is to start shopping for yourself. You could add products you've been looking for, need, and can afford to your shopping list.
Loyalty : They could let you know that they have placed an order for the milk you usually drink because they know that it has run out, and they have also done so by applying a promotion from your loyalty card.
All of this is just a possible future. It is up to us to think about it and evolve this technology so that it adapts to us.