The future is personal

We live our lives following what works for most people.

The medications we take. How we work. What we eat. How we learn.

Almost everything is built around the same idea: what works for most?

AI gives us an opportunity to change that.

A quarter of a century ago, Google Search gave us access to almost everything humanity knew.

Suddenly, we could find every answer, every option, every thing we could try.

But more information didn’t make it easier to know what was right for us.

If anything, it made it harder.

And social made it worse.

We tried the latest diet. The influencer’s new productivity system. The supplement everyone was taking. The morning routine that supposedly changed everything.

Billions of little n-of-1 experiments, run every day by people trying to answer the same question:

What actually works for me?

And we’re still trying to answer it.

AI changes what is possible.

Like Search, AI can know the universe of things we could do.

But unlike Search, it has the potential to understand which of those things might make sense for us.

The missing piece is the person.

Like Social & Search before it, today’s AI is learning us from the outside in.

It observes what we do. It remembers what we tell it. It assembles a picture of us from our behavior.

Each tool learns the version of us that shows up inside it.

But what we do isn’t all of who we are.

We need to build intelligence from the inside out.

And it starts with you.

Your genome is something that has been yours your whole life.

It can tell us things about how you process food, respond to exercise, metabolize medications, sleep, recover and much more.

Genome Computer turns those differences into personal context that can make the products around you more personal to you.

With your personal context, your preferred AI tool can know that you metabolize caffeine quickly, tend to need more sleep than average and respond better to certain forms of exercise — and take that into account when you ask what to do today.

A nutrition app can know how you’re predisposed to respond to caffeine, alcohol, carbohydrates and particular nutrients, and personalize what it recommends accordingly.

A training app could know about differences related to endurance, power, muscle composition and recovery, then combine them with how you’ve actually been training and recovering.

A health app could know about inherited health risks, carrier status and differences in how you metabolize certain medications, and consider them alongside your labs, history and other health information.

Instead of every product treating you like an average person, the world around you starts adapting to the individual you actually are.

The future is personal.

And it starts with your genome.