Show: Me, Myself, and AI · Publisher: MIT Sloan Management Review + BCG · Host: Sam Ransbotham, Shervin Khodabandeh
Episode URL: https://sloanreview.mit.edu/audio/bonus-episode-artificial-intelligence-podcasts-with-jennifer-strong/
Publish date: 2024-02-27
Duration: NAs
Default source credibility: HIGH — MIT SMR + BCG joint production. Named F500 CxOs on-record about production AI deployments. Academic/consulting co-brand keeps claims disciplined. Host has light BCG framing; guest metrics stay HIGH.
- Jennifer Strong discusses her work on AI oral histories, emphasizing the importance of capturing current technological changes for future reference.
- Sam and Shervin highlight the enduring themes in their AI podcast, focusing on human elements and practical implementation rather than chasing headlines.
- The discussion underscores the rapid pace of AI development and the challenges of organizational and societal adaptation to these changes.
Extracted quotes
| # | Credibility | Speaker | Org | Timestamp | Topic | Quote |
|---|---|---|---|---|---|---|
| 1 | HIGH | Jennifer Strong (Audio Journalist) | Shift Podcast, Public Radio Exchange | 01:47 | 01-ai-native-landscape | I’m dedicating a significant portion of my time to gathering oral histories, because I think in the not so distant future, even maybe just a few years from now, we’re going to look back at this time and all of the change and be happy to have that body of work. |
| 2 | HIGH | Sam Ransbotham (Professor) | MIT Sloan Management Review | 21:38 | 07-adoption-challenges | These are not superhuman people. These are people curious, trying, interested, working hard, not doing it perfectly the first time, willing to improve it the next time. |
| 3 | HIGH | Sam Ransbotham (Professor) | MIT Sloan Management Review | 23:54 | 09-ai-adoption-cycle | Our societal expectations of how this stuff is working have just so, so quickly evolved. |
Per-quote detail
1. Jennifer Strong — Shift Podcast, Public Radio Exchange (01:47)
I’m dedicating a significant portion of my time to gathering oral histories, because I think in the not so distant future, even maybe just a few years from now, we’re going to look back at this time and all of the change and be happy to have that body of work.
- Credibility: HIGH — Named journalist with specific commitment to AI oral histories.
- Topic tag:
01-ai-native-landscape
2. Sam Ransbotham — MIT Sloan Management Review (21:38)
These are not superhuman people. These are people curious, trying, interested, working hard, not doing it perfectly the first time, willing to improve it the next time.
- Credibility: HIGH — Named professor with specific insights on AI implementation challenges.
- Topic tag:
07-adoption-challenges
3. Sam Ransbotham — MIT Sloan Management Review (23:54)
Our societal expectations of how this stuff is working have just so, so quickly evolved.
- Credibility: HIGH — Named professor with specific insights on societal expectations of AI.
- Topic tag:
09-ai-adoption-cycle
Extracted 2026-04-14T23:42:15 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).