{
  "id": 9600727,
  "title": "AI Workers' Inquiry 2026",
  "url": "https://urgent.news/2026/09/24/ai-workers-inquiry-2026",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-24T17:41:35.000Z",
  "source": {
    "name": "Lobsters",
    "slug": "lobsters",
    "url": "https://techworkersinquiry.org/ai/"
  },
  "original_language": "en",
  "account": "The UTAW Tech Workers’ Inquiry highlights how generative AI is reshaping work within the tech sector, based on the experiences and perspectives of individuals who build, deploy, manage, evaluate, and utilize this technology. Despite AI's wide-ranging applications, it is generally perceived as a largely negative force that reshapes work by raising output expectations, altering skill requirements, heightening monitoring, undermining expertise, shifting accountability, and causing divisions among colleagues. Workers consistently emphasize that positive AI applications depend on their capacity to decide independently how to engage with the technology.1 The core issue lies not in AI's efficacy but in how it is introduced, controlled, measured, and used by employers. The key factor is whether workers have the autonomy to decide if and how to employ AI tools. The identified problems stem not from technical limitations but from employers utilizing AI to intensify work, streamline redundancies, eliminate junior hiring, enhance surveillance, reduce skills, downskill workers, shift risks onto employees, and weaken their agency. Even with improved models, if workers do not secure enforceable rights regarding AI's use at work and in society, underlying workplace issues will persist. The inquiry's recommendations prioritize who controls and benefits from AI, shifting focus from functionality to the people affected. Workers must be empowered to safeguard and expand their rights, including enforceable power over AI's introduction, usage, monitoring, and evaluation at work. Workers must decide individually whether or not to use AI tools at work without facing penalties. Consultation and transparency are only meaningful if they lead to genuine accountability and effective action. Disclosure without consequence is merely a façade. These proposals are outlined in the carried composite motion at TUC Congress 2026, titled Artificial Intelligence at Work, proposed by the CWU, seconded by Aegis, and endorsed by UNISON, National Education Union, USDAW, among others.2 To address these challenges, a robust regulatory framework with enforceable measures is necessary to hold employers and technology companies accountable for their AI usage, including: prioritizing skills development to counteract AI-induced deskilling and downskilling, maintaining workers' rights to refuse AI tools without retaliation, assessing and disclosing negative externalities of AI, updating Health and Safety legislation to address new psychological harms, protecting workers from performance evaluations based on AI tool usage, strengthening redundancy protections and preventing AI adoption as an excuse for offshoring and outsourcing, and compelling employer involvement in implementation decisions. The inquiry examines AI from the standpoint of tech workers involved in its development, deployment, evaluation, management, and use. As a worker-led and worker-generated contribution to the public debate on AI, the report is based on the firsthand experiences of tech workers across the tech workforce. The term AI is a versatile label encompassing various technologies marketed together. Some of these technologies hold potential benefits, while others do not. Some may not even exist, yet continue to dominate public discourse on AI. The inquiry begins with a fundamental assumption: tech workers are affected by AI and possess valuable insights into its creation, introduction, monitoring, and usage. Their experience is crucial for any meaningful discussion about AI, work, and regulation. Who influences our understanding of AI? Typically, it is non-technical media commentators and the tech entrepreneurs who own AI companies. Often, these individuals began as software engineers and scientists; however, their primary motivation is profit from AI's proliferation. This report is believed to be the first comprehensive synthesis of AI's impact from a wide range of perspectives within the tech workforce. The investigation covers the UK tech sector supply chain, including customer support agents, research scientists, software developers, cybersecurity analysts, tech educators, and more. Leveraging the technical expertise of employees across the supply chain, the inquiry focuses on concrete daily experiences, synthesizes insights from diverse workers, and scrutinizes underlying dynamics. As a collective, the workforce responsible for creating and deploying AI is arguably the ultimate authority on the subject. Representing unionized and unionizing workers, the voices in this report advocate for progress, fairness, and the protection of vulnerable individuals. Tech executives, representing capital's greed-driven vision for genAI technology, consistently advocate for rapid progress at any cost. The tech workforce, comprising the intellectual and manual laborers behind this new technology, is apprehensive that AI is incompatible with people and the planet. AI is often labeled as a \"suitcase word,\" capable of accommodating any concept one chooses.",
  "summary": null,
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}