Read the report’s full methodology note⌄
This report takes as its premise the manifesto “AI @ Proton, Engineering Manifesto”, provided in three images. The public version was located on Proton's website, published on November 1, 2026, and attributed to Bart Butler, the company's CTO. The text of the images is the starting source; the publication and the author's official page make it possible to verify its attribution. F01 F02
The question guiding the research is: what does an engineer need to understand, learn, preserve, and stop prioritizing in order to perform this new role with excellence? The transformation described in the manifesto is treated as a present working condition. The methodological qualifications in this report serve to guide its implementation, select investments, and measure results.
There are four types of content:
- Premise: the ideas from the manifesto that frame the problem.
- Evidence: results from research, documentation, and published experiences, with references.
- Applied synthesis: recommendations formulated in this report based on those sources and on engineering reasoning.
- Examples: scenarios, numbers, and working templates that are explicitly illustrative, with no claim to be observed results.
The research is a targeted review of primary sources, not an exhaustive systematic review. Priority was given to studies from 2025–2026, technical accounts by the authors themselves, official documentation, and durable engineering references. Observational surveys, experiments, methodological proposals, and vendor reports have different strengths and limits. Those limits appear alongside the relevant claims. The references at the end contain links, dates, and the nature of each source.
Reading paths:
- To understand the professional shift, read sections 1 to 4.
- To reorganize your technical development, read sections 5 to 10.
- To turn the diagnosis into practice, read sections 11 to 16 and the appendices.
- To go deeper into the research, use the annotated bibliography in section 17.
