Rethinking the future of Artificial Intelligence in an augmented workplace

Vanguard economist Joseph Davis argues that Artificial Intelligence is set to function as a general purpose technology that augments work, lifts productivity, and reshapes key service industries rather than triggering a dystopian wave of job losses. His team’s long-run data model suggests automation has been underused in sectors like health care, education, and finance, and that the most significant gains will come from organizations that adopt Artificial Intelligence as a copilot for human workers.

Looking ahead at artificial intelligence and work in 2026

MIT Sloan researchers expect 2026 to bring a widening performance gap between humans and large language models, a push to scale responsible artificial intelligence deployments, and new questions about creativity, safety, and data access in the workplace.

Model autophagy disorder and the risk of self consuming Artificial Intelligence models

Glow New Media director Phil Blything warns that as Artificial Intelligence systems generate more online text, future language models risk training on their own synthetic output and degrading in quality. He draws a parallel with the early human driven web, arguing that machine generated content could undermine the foundations that made resources like Wikipedia possible.

Artificial intelligence and the new great divergence

A White House research paper compares the potential impact of artificial intelligence to the Industrial Revolution and examines whether it could trigger a new great divergence among nations. The report outlines how the Trump administration aims to secure American leadership through accelerated innovation, infrastructure, and deregulation.