{
  "id": 658067,
  "title": "The future of learning at work: How the medical residency model offers an inspiring solution",
  "url": "https://urgent.news/2026/08/12/the-future-of-learning-at-work-how-the-medical-residency-model-offers",
  "topic": "business",
  "section": "Business",
  "published": "2026-08-12T11:05:00.000Z",
  "source": {
    "name": "Fast Company",
    "slug": "fast-company",
    "url": "https://www.fastcompany.com/91579500/the-future-of-learning-at-work-how-the-medical-residency-model-offers-an-inspiring-solution-future-of-work"
  },
  "original_language": "en",
  "account": "The rise of artificial intelligence in the workplace is causing a significant disruption in traditional learning pathways for professionals. As routine tasks become automated, the valuable training grounds for building foundational skills and judgment are disappearing. This shift poses a threat to the development of human capability and judgment across various industries, such as consulting, law, and finance. Research shows that AI's integration into daily work leads to deskilling and upskilling inhibition, as employees no longer gain exposure to the challenges that foster professional judgment. To grapple with this issue, it is worth examining the medical residency model, which has successfully adapted to the integration of AI, all while advancing at twice the speed of the broader economy. Medical residency has long understood that professional judgment cannot develop without intentional, structured experience. Trainees move from observation to autonomy, working on diverse cases under continuous supervision and receiving frequent feedback. This approach fosters competence through real-world complexity rather than abstraction. The residency model has persisted despite rapid technological advancements, recognizing that AI systems cannot replace the need for human interpretation, prioritization, and decision-making under uncertainty. To maintain this learning process amidst AI adoption, medical professionals emphasize cognitive apprenticeship, which focuses on how experts think rather than just what they do. This approach makes reasoning visible, encourages practitioners to articulate their decision-making processes, and enables learners to test their reasoning in real time, receive immediate feedback, and access vast amounts of knowledge within their workflow. For other industries, adopting similar apprenticeship principles requires establishing clear learning objectives, accountability metrics, and incentives for senior staff to share their knowledge and experience. By integrating apprenticeship programs into executive job descriptions and annual reviews, organizations can ensure executive leaders actively participate in these programs, fostering a culture of continuous learning and development.",
  "summary": "Today’s corporate talent faces a quiet but meaningful disruption. Many of the pathways for professionals to build their skills and capabilities are disappearing. Not because companies are investing less in training, but because the work itself is rapidly changing. The early tasks that once allowed people to “learn by doing” are being reshaped or removed by AI tools. At first glance, the shift…",
  "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."
}