How Generative AI Changes Productivity

HBR IdeaCast

Harvard Business Review

Leadership, Entrepreneurship, Communication, Marketing, Business, Business/management, Management, Business/marketing, Business/entrepreneurship, Innovation, Hbr, Strategy, Economics, Finance, Teams, Harvard

4.4 • 1.9K Ratings

🗓️ 4 May 2023

⏱️ 37 minutes

🔗️ Recording | iTunes | RSS

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Summary

How Generative AI Changes Everything is a special series from HBR IdeaCast. Each week, HBR editor in chief Adi Ignatius and HBR editor Amy Bernstein host conversations with experts and business leaders about the impact of generative AI on productivity, creativity and innovation, organizational culture, and strategy. The episodes publish in the IdeaCast feed each Thursday in May, after the regular Tuesday episode. Generative artificial intelligence is grabbing headlines with the widespread public excitement over tools like ChatGPT. And early academic research shows significant productivity gains in written communications, customer service, market research, computer coding, and professional analysis such as legal work. Meanwhile, the technology is rapidly evolving and getting better the more people use it. As a leader, it’s hard to stay ahead of the developments. In this episode, How Generative AI Changes Productivity, Amy Bernstein speaks with Karim Lakhani, a professor at Harvard Business School and a coauthor of the book Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. They discuss initial productivity gains for individuals from the technology, how that will scale across a workforce, and the pressing challenges facing organizational leaders.

Transcript

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0:00.0	Cream, you've been experiencing some deja vu lately, huh? Oh, yeah, 30 years of deja vu. Yeah, tell us about it. Yeah, so I
0:09.4	Still remember the first time I
0:12.5	Saw the web browser
0:14.8	This is almost 30 years now and I was working in journal electric at that time and I was at a radiology conference and this doctor postman
0:22.1	I was like, hey, great. Look at this. I'm like, what I'm looking at. Oh, it's a coffee pot. This is a coffee pot at Oxford University
0:28.9	I'm like, okay, because yeah, this is the web browser. Now you can browse anywhere and get any information you want and
0:36.9	It didn't dawn on me to later that what he has showed me was that the cost of
0:42.1	Information dissemination was gonna go to zero. Huh, but a coffee pot put aside by lazy researchers
0:48.6	Who didn't want to cross the lab to look at if the coffee was full or not now had a global distribution of
0:54.2	Its image of his video live feed
0:57.0	Mm-hmm, and there's a straight line between the browser being invented Google
1:02.8	Being invented and the rest of this history and I get the same feels today
1:07.4	We've been talking a lot about AI for 20 years Amy
1:10.6	But until chat GPT came out
1:13.4	Nobody knew what it was and then it's like oh my god, and it's no surprise that
1:18.1	A hundred million users started using chat GPT in three months, which is a ridiculous number and
1:25.3	They all had the same deja vu moment that I had like oh now I understand
1:30.7	What this AI thing is and it's cute right now. I can get a recipe. I can get a trip planned
1:35.4	I can get a Kendrick Lamar version of all my papers
1:38.6	I've done that I've taken our pieces and put them into chat GPT and have a Kendrick Lamar wrap about my about our article and
1:45.4	Competing these your AI. It's great. It's cute, but we are just getting our heads around what this means for us
1:51.1	so
	...

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