Kate O'Neill on starting with purpose, not AI

What this conversation is about

Kate O'Neill has spent more than 25 years in digital innovation, including time as one of Netflix's first 100 employees. She now advises leaders of companies, cities and governments as founder and Chief Tech Humanist of KO Insights, and she is the author of A Future So Bright. In this episode of Personalization Outbreak, she and Glenn Llopis take on the question every leadership team is asking about AI, and explain why most teams are asking it the wrong way around.

Her answer is refreshingly human: start with what your organization exists to do and what the people you serve are trying to do, then use technology to amplify that. Along the way she shares how a single database limit could have capped Netflix's growth, and how one utility redesigned an AI rollout so its people moved up instead of out.

The edit

Glenn Llopis teaches that most people don't lose themselves; they edit themselves to fit the room. Organizations do the same thing. They edit their strategy around whatever technology is trending:

"And so it's very natural for a CEO or a leader to be talking to their team and going, what's our generative AI strategy? But it's actually the wrong question." — Kate O'Neill · 00:04:37

She sees a second edit in what organizations choose to measure. Inside, leaders watch revenue and profit. Outside, customers just want an easier time getting help. When the metrics ignore the experience of the people who keep the business going, the organization slowly shapes itself around the wrong picture. Her Netflix story shows how deep that can go:

"I noticed that the movies that were all listed within the database only had one genre assigned to them." — Kate O'Neill · 00:12:02

One genre per movie looked like a small technical choice. It would have limited every recommendation the company could ever make, so she asked leadership for buy-in and rebuilt the database with teams from across the company.

How organizations reclaim their direction

O'Neill's starting point is what she calls strategic organizational purpose: a three-to-five-word statement of what the company is really trying to do at scale. When that purpose lines up with what customers, employees and communities are trying to do, technology can amplify the alignment instead of pulling the business off course.

For individuals, the path runs through the skills machines can't copy:

"So what we used to call soft skills in business are the human skills that we can do and machines can't really do as well." — Kate O'Neill · 00:06:52

"Machines don't have a sense of meaning. They don't have a sense of purpose. That's us. We get to do that." — Kate O'Neill · 00:06:52

She also pushes back when clients ask how to become future proof. There is no such thing, she tells them; you can only be more ready. Glenn put a sharper point on it:

"But those who wanna be future proof are stuck in standardization." — Glenn Llopis · 00:21:55

What leaders and organizations can take from it

Her clearest example came from a workshop she led for executives. The CEO of a utility company in South America realized that his company's rollout of conversational AI in customer support was about to displace workers without reskilling them. In the workshop, they redesigned the approach:

"It involved letting the customer support agents in a sense graduate up to oversight of the technology, of the conversational AI in ways that would help people develop new skills, new confidence around the AI" — Kate O'Neill · 00:28:14

In the new design, people would handle the moments that need emotional intelligence and context, the calls an AI can't read well, while the technology took on routine requests. O'Neill calls this a kind of dimensional resilience: the organization gets better AI and more future-ready people at the same time.

• Start from purpose, then choose the technology. Asking for an AI strategy first sends organizations in the wrong direction.
• Look for the limits hiding in your data. O'Neill urges executive teams to ask what is holding them back from adapting in the years to come.
• Move people up, not out. Human judgment, context and relationships grow more valuable as AI takes on routine work.

How this conversation connects to Glenn's methodology

Glenn's body of work comes down to one idea: without agency and without knowing the rooms where you belong, you can't have the conviction to reinvent yourself on purpose, or the strong identity that guides how you live and lead. O'Neill applies the same idea to the way organizations adopt technology.

• Agency (the Individual). People stay valuable by knowing the unique value they offer and leaning into what machines lack: meaning, purpose, context and relationships.
• The rooms (the Environment). Leaders decide whether AI pushes people out or moves them up. The utility's support agents kept their place because the rollout was redesigned around them.
• Conviction and reinvention on purpose. Readiness, not the promise of being future proof, lets an organization reinvent before circumstances force it to.
• Identity that guides how it lives and leads. A clear purpose in three to five words keeps technology in service of who the organization is.

See the body of work behind the method →