Artificial Intelligence (AI) will challenge organizations in unexpected ways. But it’s not because of the adoption of new tools or technologies it’s because of the adoption of new behaviors and business practices. “A revolution doesn’t happen when society adopts new tools, it happens when society adopts new behaviors” — Clay Shirky, US Now, https://www.youtube.com/watch?v=LlqU1o3NmSw Let’s look at work first:

The reason we struggle to come up with original ideas is not for a lack of creativity but a lack of curiosity. — “Every year we go into the same room with the same information and the same questions .. what do you think happens? Every year we come out with the same ideas” — frustrated workshop facilitator I assume this scenario is quite common. Creativity is limited to what we already know…

Our tools shape how we see the world. And so we need to shape the tools before they shape us. — Any problem solving exercise should start with the questions: What is it we are trying to understand? What is the outcome we are hoping to achieve? Then we choose the tool with the best fit. When mapping our customers to our company there are many valid approaches. I’ve chosen three…

Collecting information and data about the world is getting all the attention, but it won’t bring us much value if we keep asking the same old questions. Making sense of the data is equally important to collecting it. “We are collecting all this data, but still not coming up with…

Most people don’t buy products, they solve needs. Still, when we go online we can easily think its the other way around: that people don’t have needs, they only want products. Why? — Most people don’t buy a product just to buy a product. What they care about is how to achieve or overcome something. When people go online this is what they bring with them: information about themselves, the situation they are in and their needs.

In the Gaslit Nation interview with Cory Doctorow he describes a conversation he had with a screenwriter sharing that they (the creative writers) have been treated like large language models for a long time. My point being; that if we are acting, operating or working like computers already then no…

Are experts over-emphasizing time constraints and realization demands over novelty leading to favouring incremental improvements to more game changing ideas? Are experts more likely to do this compared to non-experts? And is it good or bad? — “Domain experts exhibit a feasibility preference, focusing first on the feasibility of a solution as the primary indicator of its quality, while discounting riskier but more novel solutions. This results in a tradeoff in which highly feasible but less novel solutions are judged as being higher in quality, shedding light…

I assume there is a BIG customer data gap in most organizations: who are collecting sales / product data and skinny behavioral / channel data expecting these are helpful to understanding their customers. — But we need to be careful using something as simple as product sales and online behavior as proxies for something as complex as a human being. Behavioral data is skinny data, it doesn’t tell us anything about the customer e.g. we don’t know what questions they are trying to answer…

Your current job probably won’t change much because of artificial Intelligence (AI), but your next job will. … — Even without AI new jobs emerge all the time. I’ve had jobs as a web designer, UX’er, CX’er, service designer, business designer .. all jobs that where younger than 10, five or even brand new when I took them. We change jobs all the time. It’s not scary or disruptive…