Making AI Work, MIT Technology Review’s new AI newsletter, is here
Summary
MIT Technology Review has launched "Making AI Work," a new free, seven-edition weekly newsletter mini-course designed for professionals seeking to understand and apply large language models (LLMs) across various industries. Starting February 9, 2026, the newsletter will deliver practical, industry-specific guidance through case studies, examining AI tools and their deployment in sectors like healthcare, climate tech, education, and finance. Each edition features a specific use case, a deeper look at the AI tool, and action-oriented tips for application. Examples include Microsoft Copilot in medical note-taking, Google's collaboration with Westinghouse for nuclear reactor efficiency, MagicSchool for educators, Notion AI for small business administration, and ChatGPT Enterprise for financial research. The series concludes with insights from MIT Technology Review staff and an on-demand virtual event.
Key takeaway
For professionals evaluating AI tools for industry-specific applications, subscribing to "Making AI Work" offers concrete examples and actionable insights. You will gain a clearer understanding of how LLMs like Microsoft Copilot and ChatGPT Enterprise are being deployed in healthcare, finance, and other sectors, helping you identify relevant use cases and practical implementation strategies for your own work.
Key insights
The "Making AI Work" newsletter provides practical, industry-specific guidance on applying LLMs across diverse professional sectors.
Principles
- AI adoption requires practical, context-specific guidance.
- Case studies illustrate real-world AI implementation.
Method
The newsletter's method involves weekly editions, each featuring an industry case study, a deep dive into the AI tool used, and actionable tips for application in professional settings.
In practice
- Explore Microsoft Copilot for medical note-taking.
- Investigate Notion AI for administrative task outsourcing.
- Consider MagicSchool for educational AI integration.
Topics
- Generative AI Applications
- Large Language Models
- AI Implementation
- Industry-Specific AI
- AI Case Studies
Best for: AI Product Manager, Business Analyst, Domain Expert
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by MIT Technology Review.