
00 · Background
Generative AI in Engineering
The equation hasn’t changed. But the engineer has.
Deep dive: A Smarter Path Forward: From Brute Force to Elegant Intelligence
Read the background or listen, 38 min
White paper
Start with the background, then follow the trails in order, or go straight to a trend. Every chapter has a conversation you can listen to instead.
Volume I · written November 2024 to February 2025, two years after ChatGPT; its text is kept as published
The whole paper, in one conversation · 11 min
The whole study at once: four trails, twelve trends, and what they mean for the engineer.
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Contents

00 · Background
The equation hasn’t changed. But the engineer has.
Deep dive: A Smarter Path Forward: From Brute Force to Elegant Intelligence
Read the background or listen, 38 min

01 · Trail 1 of 4
Rethinking trade-offs: engineering in a landscape of possibility
Read trail 1 or listen, 11 min

02 · Trail 2 of 4
How are digital twins reshaping industries with generative AI?
Read trail 2 or listen, 15 min

03 · Trail 3 of 4
How are AI agents changing engineering problem-solving?
Read trail 3 or listen, 20 min

04 · Trail 4 of 4
How can generative engineering build a more sustainable future?
Deep dive: The Cost of Scaling
Read trail 4 or listen, 12 min

Volume II
The white paper asked what would happen when artificial intelligence joined the engineering team. Volume II asks what changes when it begins to perform the work: from assistance to agency, in mathematics, delegated action, closed loops, and the training of engineers.
Read the outlines Editorial outline · In development
To read offline
The background, the four trails and their twelve trends, the two deep dives and the epilogue, typeset for reading on a screen, with the figures, definitions and links of the pages. Every chapter and field also has its own PDF, at the top of its page.
Édition française
The French edition of the white paper, published with the Think Tank Arts & Métiers, as a PDF. It downloads directly; nothing is asked of you.