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Feed Drop: Why Only 10% of Companies Succeed With AI With Sam Ransbotham, Professor at Boston College

> So we put together, we tried to look at, all right, given we have some have-nots and some haves, what's the difference?

Show: Me, Myself, and AI · Publisher: MIT Sloan Management Review + BCG · Host: Sam Ransbotham, Shervin Khodabandeh

Episode URL: https://moderncto.io/

Publish date: 2024-07-30
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.

  • Only 11% of companies achieve significant financial benefits from AI, emphasizing the need for robust infrastructure, talent, and strategy.
  • AI adoption requires rethinking processes, not just applying AI to existing ones; healthcare’s use of fax machines exemplifies this challenge.
  • Leaders must explore AI tools, recognizing that while some tasks can be automated, others require human oversight and creativity.

Extracted quotes

# Credibility Speaker Org Timestamp Topic Quote
1 HIGH Sam Ransbotham (Professor) Boston College 01:45 02-corporate-tools So we put together, we tried to look at, all right, given we have some have-nots and some haves, what’s the difference? I mean, that’s a natural question for an academic or for anyone to try to figure out those differences. And the first few are things that you might, I think, we would expect, right? They’ve got to get their technology house in order. You can’t have something like artificial intelligence, complicated machine learning models, if you’re basically working on an outdated copy of Excel that is run on an outdated PC, right? So there’s a certain sort of infrastructural element to that. And also there’s talent. You have to have somebody use these tools here.
2 HIGH Sam Ransbotham (Professor) Boston College 04:49 07-adoption-challenges And so that’s the point of you can’t just slap AI on top of an existing process, which is faxing. Think of some new way to do a process. And I think that’s the real difference in that 10%.
3 MEDIUM Joel Beasley (Host) Modern CTO 10:13 02-corporate-tools I estimate it saves us about $100K a year at my company.

Per-quote detail

1. Sam Ransbotham — Boston College (01:45)

So we put together, we tried to look at, all right, given we have some have-nots and some haves, what’s the difference? I mean, that’s a natural question for an academic or for anyone to try to figure out those differences. And the first few are things that you might, I think, we would expect, right? They’ve got to get their technology house in order. You can’t have something like artificial intelligence, complicated machine learning models, if you’re basically working on an outdated copy of Excel that is run on an outdated PC, right? So there’s a certain sort of infrastructural element to that. And also there’s talent. You have to have somebody use these tools here.

  • Stat: null
  • Credibility: HIGH — Named academic with specific insights on AI adoption challenges.
  • Topic tag: 02-corporate-tools

2. Sam Ransbotham — Boston College (04:49)

And so that’s the point of you can’t just slap AI on top of an existing process, which is faxing. Think of some new way to do a process. And I think that’s the real difference in that 10%.

  • Stat: null
  • Credibility: HIGH — Named academic with specific insights on AI adoption challenges.
  • Topic tag: 07-adoption-challenges

3. Joel Beasley — Modern CTO (10:13)

I estimate it saves us about $100K a year at my company.

  • Stat: null
  • Credibility: MEDIUM — Specific claim but host’s perspective, not a named practitioner.
  • Topic tag: 02-corporate-tools

Extracted 2026-04-14T23:05:34 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).