Research

What AI can do, and what it means.

We research what AI can already do in practice: which work it can take over, and how much faster and better that work becomes. And we study what that does to people: to jobs, purpose and meaning.

Part one

What AI can do

Bridge is our own test bed. Everything we make is built with AI agents, so we see first-hand which tasks they take over, where they make work faster, and where they still fall short.

1

designer behind Bridge, working with AI agents

7

months from the first line of code to a full creative suite

500K+

lines of code

84%

of all commits co-written by AI agents

Source: Bridge's own code repository, October 2026.

Creative work

Design, video, animation, audio and 3D. How far can agents get from a description to a finished piece, and where does a human eye still decide?

Knowledge work

Writing, research, presentations and bookkeeping. Which tasks disappear, which ones change shape, and how much time does it really save?

Software

Building and running tools with agents. What happens when anyone can make the software they need, and let agents operate it?

Part two

What it means

The faster AI takes over work, the more urgent the human questions become. These are the six we work on, in the open, with anyone whose work is changing.

01Work

What is a job, once agents do the tasks?

A job is a bundle of tasks. Agents are taking that bundle apart, one task at a time. What remains when the routine is gone, and is it enough to fill a working week, or to pay for one?

02Employment

Who still earns a living when making things costs almost nothing?

When software, design and text can be made on demand, the price of making collapses. Millions of people earn their income from exactly that. Where does their work go, and who captures the value instead?

03Meaning

Where do we find meaning when we are no longer needed for the work?

For many people, being good at something is part of who they are. When that skill stops being scarce, what is left? Craft for its own sake, care for each other, or something we have no word for yet?

04Pace

How much innovation can people absorb?

Technology now moves faster than schools, laws and careers can adapt. Faster is not automatically better. When is it wise to slow down, and who gets to decide?

05Ownership

Who owns the tools that do the work?

Building your own software feels like independence. But your agents still run on someone else's models, servers and data. Freedom for individuals could quietly turn into dependence on a handful of companies.

06Learning

What should our children learn today?

Not how to use a specific program. Maybe how to ask good questions, how to judge what a machine makes, how to work with other people, and how to know what you actually want.

How we work

Develop

We build the AI tools we study. Bridge Suite lets us, and you, experience this future first-hand instead of reading about it.

Measure

We track what agents actually do, task by task: what they take over, how much time it saves, and where people stay essential.

Ask

Essays, field notes and conversations with people whose work is changing: makers, teachers, entrepreneurs, unions and policymakers.

Experiment

What happens to your job?

Name your profession. See what may shift to agents, what stays human, and a question worth asking yourself.

Tell us what is changing in your work. The stories we receive shape what we research and write next.