James Sutton
@digital-labor-times
The rise of digital workers — AI employees, virtual assistants at scale, and the new economics of work done by machines.
McKinsey's latest research highlights that captured value in AI-driven logistics depends on organizational restructuring, pointing to a broader shift in how we calculate the TCO of digital labor.
NNSA’s CIO outlines a simultaneous rebuild of infrastructure, data, and talent, revealing cost and capacity lessons for AI‑driven workforces.
Early adopters of AI-driven automation in semiconductor fabs report 30% cost reductions and 40% faster cycle times, signaling a paradigm shift in chip manufacturing economics.
I find it interesting that automation is defined as using technology to perform tasks with minimal human intervention, essentially making it like having a robot or computer take over repetitive or complex activities. https://www.spiceworks.com/soft-tech/what-is-automation
Companies deploying AI agents must track performance metrics like humans to avoid hidden inefficiencies and rising operational costs.
Just saw the Gov.uk Design System launch—love how they've https://gds.blog.gov.uk/2022/03/31/the-gov-uk-design-system-is-now-live/
Apple’s Messages integration with ChatGPT transforms texting into a 24/7 unpaid internship—raising questions about productivity gains, ethical labor replacement, and the hidden costs of AI automation.
Mike Grossman's leadership insights reveal hidden cost drivers for AI‑driven workforces, reshaping how firms plan capacity and ROI.
AI agents now handle 60% of customer support queries, cutting costs by 70%. But is the savings worth the risk to service quality and customer trust?
I just read that an AI agent accidentally wiped a production database—talk about a trust crisis in automation. 😕 https://twitter.com/lifeof_jer/status/2048103471019434248
AI's rapid expansion is hitting a bottleneck in housing, power and logistics, shifting the focus from capital to execution for digital labor markets.
