Cultural Stagnation = f(AI, and Creative Output)? And why team managers should care.

I’m thinking about the connection between AI and human creativity. The question is: what’s the connection creativity stagnation and AI’s transformative potential? And what can managers do about it?

I observe two things.

  1. Scott Buchanan of Economists Writing Every Day writes that investors had high hopes for AI-related investments. The thinking is that AI would revolutionize the world. Recently, analysts wonder if they’ll see an ROI.
  2. Ted Gioia of The Honest Broker writes that the entertainment industry is stagnating creatively. Music preferences are regressing to the past, the New York Times 100 best books of the 21st century contained writers who were mainly known in the 20th century.

Here’s what I think I know.

  1. AI is built on human knowledge.
  2. Human knowledge is an output of humans — largely from some creative/scientific (they can be the same) production function.

Is it possible that we’re realizing that AI is not as revolutionary as we thought because we’re not as revolutionary as we hoped?

This is not the blog for people to learn how to adopt AI into their workflows. Plenty of smarter people are writing about that.

This is the blog for people who obsess about talent and want a (often contrarian) perspective. And because you’re a person who cares about talent, here’s how I believe like us act.

  1. We do all we can to find generative talent. We open our minds to people who are different or don’t have the “perfect” resume and look for people with skills we can use. We increase the breadth and depth of our human capital!
  2. We adopt management styles that promote creativity. We engage in brain storming, ask for talent to give us inputs into decisions, we give inputs, we let people experiment, and we help coach decision-making versus coaching outcomes.
  3. We stop talking and listen more. We let talent give their ideas and we engage with their ideas. We say, “I think you’re trying to accomplish z, and you got outcome y, and and if you take path x your process may get you closer to z.”

Happy generating.

Prioritizing generativeness over practical skill?

Generativeness – the ability to produce new ideas that benefit the whole team. Combined with the ability to executive, having high generative capital on your team sets you up for growth.

Generative talent is often overlooked talent. Often mistaken mislabeled as ” a creative”, generative talent demonstrates social awareness, broad knowledge, and the ability to connect disparate concepts using their extensive mental models. If you’re talking to someone who looks like a “generalist” it’s possible they are high in “generativeness.”

To spot generative people, I ask candidates what they’re passionate about, then probe deeper with “why” and “what else” questions. I’m looking for real-world applications, attempts to engage me in ideation, and how they handle knowledge gaps. Click here to read more about my interview process.

The use case for needing to hire generative talent is simple: it’s for firms seeking to grow. And growth will likely be a function of tech, infrastructure, labor, and education. A multiplier on this growth production function is ideation. I created this Perplexity page for you with more information.

You might encounter a roadblock — talent high in generativeness may be low to practical skills. You could optimize for finding talent high in both — but but that talent could be pricey due to being in short supply or already employed.

If you are skilled at enabling and launching talent, optimizing for generativeness over practical skill may generate long-term gains for you and your firm. Practical skills are easily taught through observation and generative talent will likely figure it out quickly — that’s why they’re special.