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AI Advances Aren’t Likely to Occur Nearly as Quickly as Many Believe | Ep. 2
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MITSloanCIOSymposium द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री MITSloanCIOSymposium या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
In the second episode of the MIT Sloan CIO Symposium's online series, Executive Chair Allan Tate and renowned technology strategist Irving Wladawsky-Berger discuss MIT’s exciting recent honor: Professors Daron Acemoglu and Simon Johnson were awarded the 2024 Nobel Memorial Prize in Economic Sciences along with James Robinson for their groundbreaking research on how institutions influence economic growth and prosperity.
Building on these insights, they explore the debate surrounding AI's near-term potential, drawing from Acemoglu’s perspective that AI's productivity gains will likely be incremental in the next decade. The conversation highlights why transformative technologies, like AI, require time and investment to deliver on their promises, with comparisons to historical innovations like electricity.
This episode is essential for CIOs, IT leaders, and AI enthusiasts seeking to balance ambition with realistic expectations in their AI strategies.
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The next MIT Sloan CIO Symposium will take place on May 20, 2025, with a special VIP pre-event on May 19.
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