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AI Advances Aren’t Likely to Occur Nearly as Quickly as Many Believe | Ep. 2
Manage episode 450989170 series 3615152
Το περιεχόμενο παρέχεται από το MITSloanCIOSymposium. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον MITSloanCIOSymposium ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.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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