The SNAP cuts in a K-shaped recovery (aka where wall street looks good, but organizations are cutting headcount and asking existing workers to do more with less) feel especially brutal to a lot of people.
Diana Enriquez, PhD
@denrsch.bsky.social
Sociologist via @Princeton.edu PhD (labor, tech & orgs) | writing a book about freelancers’ strategies | Principal, Technology Strategy & Design at Redstone Strategy Group
As AI becomes ubiquitous, I suspect the better AI won’t be the smartest model but rather the enabled tools that workers actually use and adapt www.techpolicy.press/lessons-from...
Lessons from Regulating Automated Management: What Automation Teaches Us about Supporting Workers
Diana Enriquez and Johannes Anttila explore what automated work environments teach us about supporting workers more broadly.
techpolicy.press
AI “puts more pressure on jobs built around repeatable [tasks] more so than work that depends on trust, physical presence, relationships, care, judgment or accountability.” AKA the human variables AI cannot neatly account for more often than not www.forbes.com/sites/ronsch...
AI Won’t Replace Everyone. That’s Not The Good News
The story is starting to get more specific than the usual “robots are coming for jobs” narrative. AI is beginning to sort the labor market by task, age, skill level and geography.
forbes.com
Interesting to see Upwork’s Future of Work Index report that 10% more skilled workers are considering freelancing or “side gigs” in 2026 than in 2025 likely due to rising cost of living www.upwork.com/research/res...
upwork.com
Earlier this year I wrote about how AI “hype” often oversimplifies the human elements and design including how quickly automated systems devolve into issues to solve rather than efficiency creating technology and the pressure workers are feeling to adapt or be “left behind”
In Weak Job Market, Middle Managers Increasingly Forced to Feign AI Success
Amid all the hype, companies need human-centered AI that helps workers. Policymakers must protect labor at every level, writes Diana Enriquez.
techpolicy.press
The build up for #UN Tech Week's Open Source conversations is reminding me of the article I wrote w Johannes Antilla from @euparliament.bsky.social a year ago for @techpolicypress.bsky.social www.techpolicy.press/lessons-from...
techpolicy.press
I ran an experiment for a year following what happened to a set of interviews I published as #opendata. I wrote about the conversations I had with students, UX researchers, journalists and policy makers: www.frontiersin.org/journals/soc...
Frontiers | Publishing publicly available interview data: an empirical example of the experience of publishing interview data
In September 2021 I made a collection of interview transcripts available for public use under a CreativeCommons license through the Princeton DataSpace. The ...
frontiersin.org
I spent a few years building solutions for a deceptively simple question: what happens between an automated system & the community it serves? I gave an #ignitetalk on designing for the "last mile" - the gap between an #automated system and the messy, human reality. www.youtube.com/watch?v=c8os...
Why AI Will Always Need a Human | Diana Enriquez | Ignite Talks
YouTube video by Ignite Talks - Smart Ideas From Around the World
youtube.com
!!!NOW #HIRING!!! - Postdoc: design for societal impact apply.interfolio.com/187187 - Codesign specialist apply.interfolio.com/187163 - Lecturer in design apply.interfolio.com/187186 Join the Keller Center at @princeton.edu & keep #tech #design centered in societal responsibility! #academicsky
In dozens of interviews, sociologist, UX researcher, and interaction designer Diana Enriquez finds middle managers forced to "feign AI success" in a weak job market—for instance, pretending error-free drafts came from AI tools that actually failed.
In Weak Job Market, Middle Managers Increasingly Forced to Feign AI Success
Amid all the hype, companies need human-centered AI that helps workers. Policymakers must protect labor at every level, writes Diana Enriquez.
buff.ly
Hey @denrsch.bsky.social we were right! www.nytimes.com/2025/10/21/t... We predicted this and named "pre-automation" as a business strategy in this paper: sociologica.unibo.it/article/view... #preautomation #called-it #robots #ai #automation #strategy
Amazon Plans to Replace More Than Half a Million Jobs With Robots
nytimes.com