Ethan Mollick s Substack articles have the Audio reading option at the top of the page. I wouldn't know with out The AI Daily Brief. Excellent work . There was a show this fall or late summer casting aspersions on Sam Altman character that I haven't found elsewhere. I think that's important and would appreciate pointers
17 reflections: 1. Secret cyborgs: Employees using AI at work without disclosing it. 2. Leadership matters significantly in AI adoption. 3. Organizations with successful AI adoption have specific characteristics (dedicated AI body, C-level leadership, articulated vision). 4. 2024 was not the "year of ROI" as many expected. 5. "Pilot purgatory" exists in many organizations. 6. There's a desperate need for an enablement ecosystem for AI adoption. 7. AI is an ongoing transformation, not a one-time change. 8. Organizations are getting more confident in building AI solutions in-house. 9. There don't appear to be long-term moats in AI models. 10. 2024 was a year of building out necessary infrastructure for AI. 11. Buy-in from various departments solves many AI adoption problems. 12. There's no such thing as "fast enough" in AI adoption. 13. The "slowdown" in LLM progress doesn't mean organizations should slow down their AI strategy. 14. Many organizations are still in the "one-to-one replacement" era of AI. 15. AI agents are coming and will change how work is done. 16. Mindset matters more than anything else in AI adoption. 17. AI should be viewed as opportunity tech, not just efficiency tech.
I've been trying to follow this stuff closely for a long, long time (since about 05) and i agree with all of your takes, there were some really great ones in there
great channel mate. keep it up
Wonderful insights! You hit many nails with this one 👌🏻
Great insights here!
Ethan Mollick s Substack articles have the Audio reading option at the top of the page. I wouldn't know with out The AI Daily Brief. Excellent work . There was a show this fall or late summer casting aspersions on Sam Altman character that I haven't found elsewhere. I think that's important and would appreciate pointers
17 reflections:
1. Secret cyborgs: Employees using AI at work without disclosing it.
2. Leadership matters significantly in AI adoption.
3. Organizations with successful AI adoption have specific characteristics (dedicated AI body, C-level leadership, articulated vision).
4. 2024 was not the "year of ROI" as many expected.
5. "Pilot purgatory" exists in many organizations.
6. There's a desperate need for an enablement ecosystem for AI adoption.
7. AI is an ongoing transformation, not a one-time change.
8. Organizations are getting more confident in building AI solutions in-house.
9. There don't appear to be long-term moats in AI models.
10. 2024 was a year of building out necessary infrastructure for AI.
11. Buy-in from various departments solves many AI adoption problems.
12. There's no such thing as "fast enough" in AI adoption.
13. The "slowdown" in LLM progress doesn't mean organizations should slow down their AI strategy.
14. Many organizations are still in the "one-to-one replacement" era of AI.
15. AI agents are coming and will change how work is done.
16. Mindset matters more than anything else in AI adoption.
17. AI should be viewed as opportunity tech, not just efficiency tech.
Did AI do that?
@@EdSurridge AI AI
I've been trying to follow this stuff closely for a long, long time (since about 05) and i agree with all of your takes, there were some really great ones in there
Leadership's crucial for AI adoption. Secret cyborgs at work? Fascinating. Biggest data readiness challenge?
1:43 did you just say "bigly" lol great channel, great content but smh
"...and I mean Bigly"
you don't know what you're talkung about