Our 12 Most Read Blogs of 2024
AI dominated the conversation at the MIT IDE this year, but platforms, KPIs and job concerns top the list as well.
AI, and particularly GenAI, dominated the mindshare and research at the MIT Initiative on the Digital Economy (IDE) this year, and that was reflected in the majority of blog posts on our Medium site in 2024.
A January post by IDE visiting fellow, Thomas Davenport, looking ahead to key trends, garnered the highest number of views and reads followed by an interview with visiting scholar, Michael Schrage, about the shifting role of Key Performance Indicators (KPIs) in light of AI.
How do the predictions compare with events as the year unfolded? Re-read the top 12 blogs listed here for your review and consideration as we enter 2025. One thing we can predict with certainty going forward: it will be another unpredictable and eventful year for AI.
February 20. Improved algorithms — empowered by AI — transform traditional performance metrics into intelligent, adaptive, and predictive tools, Michael Schrage explained in this Q&A with Paula Klein.
2. Five Key Trends in AI and Data Science for 2024
February 26. Can AI deliver value? Will data scientist roles lose luster? These are some issues raised by Thomas H. Davenport and Randy Bean.
November 20. In this recap of the BigAI@MIT conference, speakers take a deep dive into the profound impact of AI weighed against the potential risks.
4. New AI Job Research Aims to Calm the Clamor
January 23. IDE research lead, Neil Thompson, explains his new model suggesting that only one-quarter of potential work tasks –and jobs — will be displaced by AI near term because of high costs. Read the in-depth Q&A.
5. Six Ways the AI Revolution is Unfolding
January 20. Irving Wladawsky-Berger recounts the opinions of two experts who argue that a beneficial, AI-powered economy is possible as long as guardrails are implemented, too.
6. GenAI is Learning on the Job
April 22. Studies at MIT and elsewhere seek hard data to support the market hype. Early results show progress, but a long way to go.
April 15. It may not be flashy, but AI readiness is all about the basics — the format and quality of corporate data — according to a survey of 334 data leaders conducted by Thomas Davenport and Priyanka Tiwari.
8. What Does Ethical AI Look Like?
April 2. As the power of generative AI is realized, policies and practices to keep it in check are the topic of debate.
9. How GenAI Could Boost Product Development
September 17. A four-stage, AI framework developed by Atin Gupta and Geoffrey Parker makes the case for streamlining app-dev from concept to customer.
10. European Competitiveness and How Not to Fix It
September 26. A new report condemned the state of digital competitiveness in Europe. Andrew McAfee offers solutions and warnings.
11. Data Ownership, Regulation, and Blockchain Dominate Platform Markets
July 3. The Platform Strategy Summit explored new topics led by Geoffrey Parker, Marshall Van Alstyne, and Peter Evans.
12. 6 New Studies Put AI to the Test
May 30. At the annual IDE conference scholars offered data-based evidence to guide employers, developers and policymakers.
