Loadbearing Tech covers the engineering of AI adoption: what happens when emerging technology leaves the lab and collides with real organizations.
It’s written for executives, founders, and builders trying to turn AI capability into return on investment.
I look past the announcements and hyped-up news and explore the questions like: what does this mean for real organizations? How should a roadmap be adapted? What’s the ROI opportunity here?
What you’ll get
Original, data-backed analysis of AI adoption: successful businesses and failed experiments;
Practical frameworks for making better product, strategy, evaluation, and governance decisions.
Short, under-5-minutes visual essays with an idea to take to your next meeting.
I’m open to questions, comments, corrections, cold emails, collabs.
Who’s writing
Hi, I’m Kamila.
I’ve spent more than a decade building enterprise products across no-code, blockchain, and applied AI. Today, I work on AI agents inside Google (opinions here are my own). I write because I realized that my experience helped me develop two increasingly-useful qualities:
An ability to keep my heart rate steady each time another hype breaks out, making it seem like your career or business is hinging on whatever the latest development in tech is, and
An instinct to look past the hype and noise and into what matters for revenue growth.
Questions, corrections, cold emails, and collaboration ideas are welcome.
