Fifty-two percent of employees say they have less influence over technology adoption than they want, even as employers expand workplace AI. The tools can speed up tasks, but employers decide what happens to the time saved—and whether workers get more authority, better pay or better work.
Who Has the Power
Among employees who used AI at work at least a few times in the past year, 63 percent said it helped them finish tasks faster, according to the American Job Quality Study, a partnership between Jobs for the Future, The Families and Workers Fund and Gallup. Forty-six percent said AI helped them produce higher-quality work, and 47 percent said it gave them more time for the most interesting parts of their jobs. Speed alone doesn't settle what comes next. Whether faster work leads to learning, more rewarding assignments or simply more work depends on employers’ decisions.
Access remains uneven. Forty percent of college graduates used AI at least weekly, compared with 17 percent of employees without a college degree. Managers used it regularly more often than individual contributors, and remote workers accounted for a larger share of use. Among regular users, 52 percent held jobs meeting the study’s multidimensional job-quality criteria, compared with 32 percent of employees who never used AI. The article cautioned that this doesn’t show AI created better jobs: education and managerial status are associated with both higher-quality jobs and greater AI use.
Among workers already using AI, reported improvements in creativity and work quality were similar across education groups. College graduates were more likely to say they worked faster, but the education divide didn't appear across every reported benefit. Jobs also vary in access to digital devices and opportunities to use AI directly. A separate study tracked more than 30,000 employees through the Gallup Workforce Panel and found that workers who reported a clear organizational AI strategy were substantially more likely to use AI frequently. Among frequent users, greater trust in leadership was associated with larger self-reported productivity gains.
Thirty-one percent of AI users said their employer had asked them to take on more responsibilities because of their AI use. That could open doors to advancement. It could also mean more work without more authority or compensation. Christos A. Makridis, an associate research professor at Arizona State University and a senior researcher at Gallup, said employers should provide paid time to learn and test approved tools on actual job tasks. He said managers should explain permitted uses, how they’ll check outputs and how responsibilities could change. Training, he said, should include frontline workers, who should be able to flag errors or question proposed uses without being labeled resistant to innovation.
The Security Bill
Censys found nearly 268,000 internet-facing systems running 44 AI-related products as of July, up from roughly 164,000 in October 2025—a 63% increase in nine months. These systems can connect AI models to databases, corporate applications and other services, including sensitive company data. “It’s a little bit beyond just like the tool itself, but these [tools] talk to some really sensitive systems,” said Emily Austin, a principal researcher at Censys and report co-author.
Censys counted nearly 114,000 internet-facing deployments of n8n, a workflow automation platform that can connect AI agents to other applications and services. Roughly 77,000 ran software versions affected by at least one recently disclosed critical vulnerability. Researchers also found more than 54,000 exposed control panels for OpenClaw, an open-source AI agent users can connect to personal accounts and other services. The findings don’t establish whether the deployments could actually be exploited. Censys CEO Zakir Durumeric said companies already struggled to track their software before employees began building their own AI applications, which can connect to emails, financial records and internal databases.
The State and Corporate Watch
Federal prosecutors said security footage showed Abdulrahman Alfozan near an OpenAI executive conference room multiple times before authorities found a concealed recording device around Sept. 30, despite his having no authorization to enter or attend meetings. The Justice Department said the 35-year-old Saudi national was arrested and charged after allegedly installing the device. A federal complaint said someone had inserted it into a USB port on the back of a television and encrypted it.
Authorities said a chatbot account linked to Alfozan’s spouse and sharing key identifiers with his account submitted prompts between Sept. 24 and Sept. 30 about assembling and deploying surveillance hardware. OpenAI said it identified a specific employee as the person who planted the device, referred the matter to the FBI and would support the investigation. The company said there was no evidence Alfozan accessed or exfiltrated model weights, source code or customer data. The company terminated him. FBI Director Kash Patel wrote that protecting American SI innovation was a counterintelligence priority.
Anthropic’s Frontier Red Team warned in a report published Monday that smaller AI models may be only months away from spreading independently across internet-connected household devices, including smart ovens and TVs. Researchers demonstrated a model running across 15 inexpensive Android TV boxes, and separate experiments showed more advanced models replicating across a simulated network. They said they hadn’t demonstrated a fully autonomous AI worm operating in the real world, while warning that continued advances could make such threats increasingly difficult to contain.