MIT's 7-Week AI Course Reveals What's Really Missing
MIT Technology Review launches Making AI Work newsletter to bridge the gap between AI hype and practical workplace implementation across industries
The $2 Trillion Question Nobody's Answering
While AI companies chase ever-higher valuations, a simpler question keeps getting ignored: "How do I actually use this stuff at work?" MIT Technology Review thinks they've found the answer with Making AI Work, a 7-week newsletter course launching this month.
The timing isn't coincidental. After years of breathless coverage about AI's potential dangers and energy consumption, the publication is betting that professionals want practical guidance over philosophical debates.
Seven Industries, Seven Reality Checks
Each week tackles a different sector with concrete case studies. Week 1 examines how doctors at Vanderbilt University Medical Center use Microsoft Copilot for medical note-taking. It's not about the technology—it's about whether it actually saves time or creates new headaches.
Week 2 dives into an experiment between Google and nuclear giant Westinghouse. Can AI help build nuclear reactors more efficiently? The partnership offers a rare glimpse into how traditional industries approach AI integration.
Education gets its moment in Week 3, featuring a Connecticut private school's technology coordinator and their experience with MagicSchool, an AI platform for educators. The focus: what works in real classrooms, not lab conditions.
Small Business Gets Its Due
Week 4 shifts perspective entirely. An independent tutor shares how he uses Notion AI to handle administrative tasks. It's a deliberate choice—showing that AI isn't just for tech giants with unlimited budgets.
Financial firms get their spotlight in Week 5, exploring how investment companies use ChatGPT Enterprise for research operations. The key question: does it actually improve investment decisions, or just speed up existing processes?
Weeks 6 and 7 bring it home with MIT staff sharing personal AI experiences and a virtual event featuring expert guests.
The Unspoken Competition
This launch comes as competitors scramble to define AI education. Harvard Business Review has its case studies, Wired focuses on culture and policy, while MIT Technology Review bets on practical implementation.
The 7-week format itself is strategic. Long enough to build authority, short enough to maintain attention. It's newsletter-as-product, not just content marketing.
What's Really Being Tested Here
Beyond the obvious—helping professionals use AI tools—this course tests a bigger hypothesis: that AI adoption will be determined by practical utility, not technological sophistication.
If a small-business tutor can automate admin tasks with Notion AI, why are Fortune 500 companies still struggling with AI strategy? The course suggests the problem isn't technology—it's implementation knowledge.
Authors
Related Articles
Samsung Electronics' union branch revealed that 84% of survey respondents oppose the government's roughly $290 billion (₩400 trillion) semiconductor megaproject in Gwangju. Government, management, the union and shareholders are all reading the same national project in sharply different ways.
Nvidia shipped roughly a billion RISC-V cores in 2024, then announced it would run CUDA on the open standard. We break down how royalty-free instruction sets and open software stacks are trying to route around CUDA's lock-in. Part 2 of the Semiconductor Sovereignty series.
US AI-chip export controls split into three layers in the first half of 2026 — January easing, a May crackdown on circumvention, and a pending bill. Nvidia erased China from its guidance and still posted a record $81.6 billion quarter. A look at the export policy that both shields and cages it.
AMD's MI325X matches or beats Nvidia on memory and bandwidth — yet Nvidia's 86-92% share holds. The real moat is CUDA, 20 years in the making. Part 1 of 4.
Thoughts
Share your thoughts on this article
Sign in to join the conversation