---
title: "MIT Economist Blasts AI Hype, Says It’s Too Dumb to Really Impact Jobs"
description: "MIT economist and AI skeptic Daron Acemoglu argued that generative AI isn't intelligent enough to impact jobs."
date: "2024-08-08"
modified: "2024-08-08"
authors:
  - name: "Victor Tangermann"
    job_title: "Senior Editor"
    link: "https://futurism.com/authors/victor"
url: "https://futurism.com/the-byte/mit-economist-blasts-ai-hype-too-dumb-jobs"
categories:
  - "Artificial Intelligence"
tags:
  - "ai bubble"
  - "ai chatbots"
  - "generative ai"
  - "the digest"
---

# MIT Economist Blasts AI Hype, Says It’s Too Dumb to Really Impact Jobs

![MIT economist and AI skeptic Daron Acemoglu argued that generative AI isn't intelligent enough to impact jobs.](<https://futurism.com/wp-content/uploads/2024/08/mit-economist-blasts-ai-hype-too-dumb-jobs.jpg>)
*\<em\>Image: Getty / Futurism\</em\>*

## Too Dumb

Concerns over an [AI bubble](<https://futurism.com/experts-signs-ai-bubble>) are [continuing to grow](<https://futurism.com/the-byte/expert-financial-bubbles-ai>).

Major selloffs at the beginning of this week [had experts worried](<https://futurism.com/the-byte/tech-stocks-ai>) that the dam was breaking, although markets have since [stabilized significantly](<https://abcnews.go.com/Business/wireStory/financial-markets-globe-falling-112583252>).

Nonetheless, the conversation surrounding tech giants [losing hundreds of billions of dollars](<https://www.wsj.com/livecoverage/stock-market-today-dow-sp500-nasdaq-live-08-05-2024/card/magnificent-seven-tech-stocks-shed-more-than-700-billion-in-market-value-XZiWrR72gcYDbspI8vBi>) in market capitalization continues, with critics arguing that AI hype is unsustainable in the long run.

In an [interview with *NPR*](<https://www.npr.org/sections/planet-money/2024/08/06/g-s1-15245/10-reasons-why-ai-may-be-overrated-artificial-intelligence>), MIT economist and leading AI skeptic Daron Acemoglu made a case that the tech is simply far too dumb to have a major impact.

When asked if generative AI would usher in revolutionary economic changes, Acemoglu had a straightforward answer.

"No. No. Definitely not," Acemoglu told *NPR*. "I mean, unless you count a lot of companies over-investing in generative AI and then regretting it, a revolutionary change."

## Clippy on Speed

Generative AI is still struggling with many of the same challenges as when ChatGPT was first made available to the public in late 2022. For one, AI chatbots [still have a strong tendency to "hallucinate](<https://futurism.com/perplexity-webpage-mushrooms>)," meaning that their connection to reality is tenuous at best.

As *NPR* points out, experts have also argued that claims of generative AI intelligence are likely exaggerated, and aren't much more than "[autocorrect on steroids](<https://www.pcgamer.com/hardware/todays-ai-may-just-be-autocorrect-on-steroids-but-its-made-linus-torvalds-mellow-out-over-nvidia/?utm_source=npr_newsletter&utm_medium=email&utm_content=20240803&utm_term=9630510&utm_campaign=money&utm_id=7276639&orgid=554&utm_att1=>)": a statistical model that does little more than recognize patterns in data.

Despite being available to the public for several years now, the rate of meaningful corporate use remains dubious. While individual workers are using the tech on a regular basis, companies have yet to incorporate it into their business en masse, as [the *Economist* reported last month](<https://www.economist.com/finance-and-economics/2024/07/02/what-happened-to-the-artificial-intelligence-revolution>).

Acemoglu argued that AI isn't capable of most tasks in a modern office. According to the economist, generative AI will only ultimately impact less than five percent of human tasks.

He also predicted that the tech will only boost the gross domestic impact by roughly 1.5 percent over the next decade. While that's "nothing to be sneered at," he told *NPR*, "it's not revolutionary in any shape or form."

"So a lot of people in the industry don't recognize how versatile, talented, multifaceted human skills and capabilities are," Acemoglu told *NPR*. "And once you do that, you tend to overrate machines ahead of humans and underrate the humans."

**More on AI:** *[The AI Bubble Is Bursting, Experts Say](<https://futurism.com/the-byte/ai-bubble-bursting>)*

## Author
I've been at Futurism since 2017, where my role has evolved to encompass design, writing, and increasingly editing. I've always been fascinated by space exploration and advanced transportation, which I've leaned into by interviewing luminaries in those fields while closely following the dimensions of policy and regulation that allow next-generation projects to succeed -- or, sometimes, to fail. I'm also keenly interested in the effects of generative AI on society, policies, and democratic institutions, as well as clean energy, physics and biology, and the vagaries of tech leadership. My work for Futurism has been cited by publications including Ars Technica, Gizmodo, PC Magazine, Jalopnik, Fox News, and the New York Post. I spent my childhood living in locations including Manila, the Philippines, and Geneva, Switzerland, attended McGill University, and now live in Toronto, Canada. Before Futurism I worked at AskMen and a small photography studio. In my free time, I'm an avid gardener, foodie, and craft beer lover, as well as a maker of artisanal hot pepper sauces. I have a magnificent dog named Freida.

### Author social links  
[Bluesky](<https://bsky.app/profile/vtanger.bsky.social>)