The Download: Making AI Work, and why the Moltbook hype is similar to Pokémon

2026-02-10 · Source: MIT Technology Review · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Cybersecurity & Data Privacy · Depth: Novice, medium

Summary

MIT Technology Review has launched "Making AI Work," a new weekly newsletter series focusing on the practical deployment and application of generative AI across various sectors. Each edition features a case study, an in-depth look at the AI tool used, and actionable tips for professionals. The inaugural edition explores AI's impact on healthcare, specifically medical note-taking with Microsoft Copilot at Vanderbilt University Medical Center. Concurrently, OpenAI is testing ads in ChatGPT, exempting paying users and those under 18. Other notable developments include the White House's plan to address data center electricity prices, Elon Musk's renewed interest in colonizing the moon, and the increasing use of cheap AI tools by criminals to scale up scams.

Key takeaway

For CTOs and VPs of Engineering evaluating AI integration, you should prioritize understanding practical AI applications and their real-world impact, as highlighted by the "Making AI Work" newsletter. Be aware of evolving AI monetization strategies, like OpenAI's ChatGPT ads, and consider the broader implications of AI's energy demands and potential misuse in criminal activities when planning your AI strategy and infrastructure investments.

Key insights

Practical AI application, policy, and ethical considerations are shaping the future of technology.

Principles

• AI adoption requires practical application guidance.
• AI's energy footprint demands policy attention.

Method

The "Making AI Work" newsletter uses a case study approach, examining specific AI use cases, detailing the tools, and providing actionable tips for professional application.

In practice

• Explore Microsoft Copilot for medical note-taking.
• Monitor AI's energy consumption and policy impacts.

Topics

• Generative AI Applications
• AI in Healthcare
• AI Policy & Energy
• AI Security
• ChatGPT Monetization

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Product Manager, Business Analyst, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by MIT Technology Review.