The predicted artificial-intelligence jobs apocalypse has not materialized in the United States. Current evidence indicates that it is unlikely to materialize if businesses continue using AI to increase productivity, expand production, create new products and services, and employ people capable of implementing and managing these systems.
Strategic summary
New research argues that the next major advance in artificial intelligence may come not simply from making individual models smarter, but from engineering the networks of agents, tools, capabilities, workflows, and state that surround them.
NVIDIA Warp is different from most of the products associated with NVIDIA because it is not another GPU, AI accelerator or computer. It is a software framework intended to change how engineers and researchers program those processors.
From language models to world models, physics foundation models, and agents that can understand, predict, design—and eventually act upon—the physical world.
Enhanced Agentic Security Architecture
A State-of-the-Art Enterprise Architecture for Governing
Models, Agents, Harnesses, Authority, Actions, and Consequences
Robotics, Machine Learning and the Emerging Skilled Workforce for Physical AI
The opening of Greenville Technical College’s new Center for Welding & Automation Excellence (CWAE) on August 20, 2026, attracted attention across the Upstate, including coverage by The Greenville News/Greenville Online and Greenville Journal, along with an official announcement from Greenville Technical College.
Public Safety Information, Constitutional Duty, and the Case for Governed Law-Enforcement Technology
American political thought rests on a proposition sometimes lost in modern debates over policing and surveillance: liberty requires protection not only from government power, but also from private coercion.
For several years, some of the world’s most prominent technology executives predicted that artificial intelligence would eliminate jobs on a scale and at a speed rarely seen in modern economic history. Those forecasts came from people with exceptional knowledge of AI systems. But technical expertise about what a model can do is not the same as economic expertise about how businesses, workers, customers and markets will respond.