Daron Acemoglu’s perspective on AI and automation

INTRO : (MANDATORY INTRO ) **ARIEL 1:** ARIEL 1: Heeey there! howdy! howdy! and Welcome back to EGreenNews! Soo, Did you know that in 1989, New York City opened a new jail—but not on dry land? They leased a barge called the “Bibby Resolution,” topped it with five stories of housing made from containers, and anchored it in the East River. For five years, it housed inmates. ( SCRIPT HERE ) (MANDATORY OUTRO ) ** avatar 1: Have you seen the latest from MIT economist Daron Acemoglu about AI and automation? He’s really pushing back on the hype. avatar 2: No, what’s he saying? Everyone seems to think AI will take over everything. avatar 1: Exactly, but Acemoglu’s research shows the opposite. He estimates that AI will automate only about 5% of all tasks and maybe add just 1% to global GDP over the next decade[1]. avatar 2: That’s a lot less than what most people are predicting. Why is his estimate so different? avatar 1: He says it’s because AI’s potential is still unclear compared to something like the internet. The internet clearly transformed how we communicate and do business, but AI hasn’t yet produced critical new goods or services that are hugely valuable[1]. avatar 2: So, what kind of tasks can AI actually automate right now? avatar 1: According to Acemoglu, AI is best at automating predictable, routine cognitive tasks—like some basic routines in software engineering, IT security, or accounting. But jobs that require complex judgment, social interaction, or tacit knowledge—like CEOs, professors, construction workers—are beyond what AI can do right now[1]. avatar 2: How did he come up with that 5% number? avatar 1: He looked at what’s technically possible versus what’s actually profitable and practical. About 20% of the economy is in the crosshairs of AI—meaning it could potentially be automated or boosted by AI. But after you factor in how long it takes, whether it’s profitable for small companies, and the complexity of real-world tasks, it comes down to just 5%[1]. avatar 2: What about the idea that AI will just replace workers? avatar 1: Acemoglu argues that human judgment still trumps algorithms in most cases. He says leaders should focus on using AI to augment human work, not just replace people or cut costs[1]. avatar 2: So, what’s his advice for business leaders? avatar 1: He says to avoid blind AI investments and to work with employees to identify where AI can actually add value. Most importantly, don’t get caught up in the hype—AI’s impact will be real, but it’s not going to be the overnight transformation that some people are predicting[1]. avatar 2: That makes a lot of sense. It’s a much more grounded view than what we usually hear. avatar 1: Definitely. He’s not saying AI is useless—just that its real-world impact will be slower and more limited than many expect. (MANDATORY OUTRO ) ** Avatar 2: So, what’s the takeaway from all this? Avatar 1: Well, as a quick recap, remember to always make learning a priority, keep exploring, and connect with fellow learners like Hugi Hernandez and the founders of Egreenews, Mmm, who knows, maybe you can find them on the web or LinkedIn. But anyways, please, always remember to be good with yourself. Avatar 2: So, bye for now, and we hope to see you next time! (MANDATORY REQUIREMENTS (" READ AND TRY TO RESPECT THE SCRIPT AS MUCH AS YOU CAN WHEN YOU EXTRACT THE CONTENT AND BRING IT TO THE HEYGEN PLATFORM. SO TRY TO CHANGE THE TEXT ONLY 1 PERCENT. TRY TO KEEP THE INTRO, AND OUTRO AND ORIGINAL SCRIPT AS IS. THANK YOU.")) ( IF YOU NEED TO MODIFY THE TEXT THEN INCORPORATE THE SOUND FILLERS BEFORE, INSIDE AND AT THE END OF EACH PHRASE FROM THIS LIBRARY: (" So, uh, what do you think about…? Hey, you know, I was wondering… Hmm, have you ever thought about…? Well, funny you mention that, but… Mmm, out of curiosity, how do you feel about…? Okay, just thinking, what’s your take on…? Ah, I’ve been meaning to ask you… Umm, on that note, have you noticed…? Like, I wanted to pick your brain on something… Right, this might sound random, but… Sooo, what’s your experience with…? You see, I was just thinking about… Actually, got a minute to chat about…? Honestly, what’s your favorite way to…? Basically, how do you usually handle…? 2. Use Conversation Finishers with Fillers Mm-hmm, so, what do you think? Uh-huh, would you agree with that? Right, how about you? Yeah, have you experienced something similar? So, tell me more about that. Hmm, can you elaborate a bit? Mmm, I’d love to hear your thoughts. Okay, what else comes to mind? Got it, how did that make you feel? You see, what’s your take on it? Makes sense, does that sound right to you? Conclusion? What would you say? Thoughts? Anything else to add? Feel free to share, okay? Alright, what’s next? Cool, what surprised you most? So, care to share a bit more? Yeah, how did that turn out? Mm, what’s your advice on this? Uh, what’s the takeaway for you? "hmm," "mmaaybe," "OK," "aaaa," and similar expressions to make the conversation sound more spontaneous and realistic. 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Mmm, Hmm, Naah, Naaaahhh, Mmmmaybe, Mmmmmaybe, Oooh, Oooooh, Aaaaah, Ahhh, Ah-ha, Ewww, Ewwww, Ugh, Ugggh, Yay, Yaaay, Yaaas, Yaaass, Whoa, Whoooaaa, Wow, Woooow, Meh, Meeeh, Huh, Huhh, Duh, Duuh, Ow, Owwww, Yikes, Yikeees, Yikesie, Whoops, Whoopsee, Whoopsie, Oops, Oopsee, Oopsey, Uh-oh, Uh-uh, Uh-huh, Tsk-tsk, Hmph, Hmphh, Argh, Arrrgh, Grr, Grrr, Bleh, Bleeeh, La-la-la, Ooh-la-la, Ha-ha, Hee-hee, Ho-ho-ho, Tee-hee, Heehee, Yawnnnn, Sniff-sniff, Gulp!, Bam, Bingo, Okey-dokey, Uh-huh-huh, Mmm-hmm, Hmmm..., Oooo, Aaaa, Eeee, Oooooh yeah, Mmm-mmm, Huh-uh, Hmph-hmph, Tsk-tsk-tsk, Grr-grr, Bleh-bleh, Yay-yay, Whoa-whoa, Wow-wow, Meh-meh, Huh-huh, Duh-duh, Ow-ow, Yikes-yikes, Whoops-whoops, Oops-oops, Uh-oh-oh, Uh-uh-uh, Tsk-tsk-tsk-tsk, Hmph-hmph-hmph, Argh-argh, Grr-grr-grr, Bleh-bleh-bleh, La-la-la-la, Ooh-la-la-la, Ha-ha-ha, Hee-hee-hee, Ho-ho-ho-ho " ))

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