Eventually, we need to have computers that work differently from the way they do today and have for the past 60-plus years. We're capturing and generating increasingly massive amounts of data, but we can't make computers that keep up with it. One of the most promising solutions is to make computers that work more the way brains work.

Every purchasing decision involves a trade-off between what I call fidelity and convenience. Fidelity is the total experience of something - how great the experience is. Convenience is how easy it is to get something. A live concert is a high fidelity way to experience music; an MP3 file is a high convenience way to experience music. Depending on the situation, one or the other is probably pretty appealing. What's not appealing is something that offers neither.

In the long run magazines can't be a convenience play - the Web has stolen that. So magazines have to be high fidelity - a fantastic experience - to thrive. Magazines will survive the Internet age, but only the ones that give people an experience they just can't get anywhere else. A magazine will have to be truly loved to make it.

When someone is in a state of flow, that person's brain is not thinking about anything - it's just processing things through chunks at a total instinct level. Athletes in a state of flow describe knowing what will happen just before it does - knowing how a defender will react to a certain move an instant before doing it. Of course, if you know what will happen, you can succeed at doing it, so an athlete in flow has a stand-out game.

If you spot a market where the only choices are at either one end or the other - high fidelity or high convenience - there's probably a big opportunity at the other end. That was the opening for Federal Express, for instance. When it started, there was only one mail service in America - the US Postal Service, which was high convenience. Fred Smith created a high-fidelity mail service.

Eventually, we need to have computers that work differently from the way they do today and have for the past 60-plus years. We're capturing and generating increasingly massive amounts of data, but we can't make computers that keep up with it. One of the most promising solutions is to make computers that work more the way brains work.

Who "wins" and who "loses" depends on when you measure it.