American University, other top M.B.A. programs reorient courses around artificial intelligence; ‘It has eaten our world’
4 min
At the Wharton School this spring, Prof. Ethan Mollick assigned students the task of automating away part of their jobs.
Mollick tells his students at the University of Pennsylvania to expect to feel insecure about their own capabilities once they understand what artificial intelligence can do.
“You haven’t used AI until you’ve had an existential crisis,” he said. “You need three sleepless nights.”
Top business schools are pushing M.B.A. candidates and undergraduates to use artificial intelligence as a second brain. Students are eager for the instruction as employers increasingly hire talent with AI skills .
American University’s Kogod School of Business is putting an unusually high emphasis on AI, threading teaching on the technology through 20 new or adapted classes, from forensic accounting to marketing, which will roll out next school year. Professors this week started training on how to use and teach AI tools.
Understanding and using AI is now a foundational concept, much like learning to write or reason, said David Marchick, dean of Kogod.
“Every young person needs to know how to use AI in whatever they do,” he said of the decision to embed AI instruction into every part of the business school’s undergraduate core curriculum.
Marchick, who uses ChatGPT to prep presentations to alumni and professors, ordered a review of Kogod’s coursework in December after Brett Wilson, a venture capitalist with Swift Ventures, visited campus and told students that they wouldn’t lose jobs to AI, but rather to professionals who are more skilled in deploying it.
American’s new AI classwork will include text mining, predictive analytics and using ChatGPT to prepare for negotiations, whether navigating workplace conflict or advocating for a promotion. New courses include one on AI in human-resource management and a new business and entertainment class focused on AI, a core issue of last year’s Hollywood writers strike.
Officials and faculty at Columbia Business School and Duke University’s Fuqua School of Business say fluency in AI will be key to graduates’ success in the corporate world, allowing them to climb the ranks of management. Forty percent of prospective business-school students surveyed by the Graduate Management Admission Council said learning AI is essential to a graduate business degree—a jump from 29% in 2022.
Many of them are also anxious that their jobs could be replaced by generative AI. Much of entry-level work could be automated, the management-consulting group Oliver Wyman projected in a recent report. That means that future early-career jobs might require a more muscular skillset and more closely resemble first-level management roles .
Business-school professors are now encouraging students to use generative AI as a tool, akin to a calculator for doing math.
M.B.A.s should be using AI to generate ideas quickly and comprehensively, according to Sheena Iyengar, a Columbia Business School professor who wrote “Think Bigger,” a book on innovation. But it’s still up to people to make good decisions and ask the technology the right questions.
“You still have to direct it, otherwise it will give you crap,” she said. “You cannot eliminate human judgment.”
One exercise that Iyengar walks her students through is using AI to generate business idea pitches from the automated perspectives of Tom Brady, Martha Stewart and Barack Obama. The assignment illustrates how ideas can be reframed for different audiences and based on different points of view.
Blake Bergeron, a 27-year-old M.B.A. student at Columbia, used generative AI to brainstorm new business ideas for a project last fall. One it returned was a travel service that recommends destinations based on a person’s social networks, pulling data from their friends’ posts. Bergeron’s team asked the AI to pressure-test the idea, coming up with pros and cons, and for potential business models.
Bergeron said he noticed pitfalls as he experimented. When his team asked the generative AI tool for ways to market the travel service, it spit out a group of very similar ideas. From there, Bergeron said, the students had to coax the tool to get creative, asking for one out-of-the-box idea at a time.
Professors say that through this instruction, they hope students learn where AI is currently weak. Mathematics and citations are two areas where mistakes abound. At Kogod this week, executives who were training professors in AI stressed that adopters of the technology needed to do a human review and edit all AI-generated content, including analysis, before sharing the materials.
When Robert Bray, who teaches operations management at Northwestern’s Kellogg School of Management, realised that ChatGPT could answer nearly every question in the textbook he uses for his data analytics course, he updated the syllabus. Last year, he started to focus on teaching coding using large-language models, which are trained on vast amounts of data to generate text and code. Enrolment jumped to 55 from 21 M.B.A. students, he said.
Before, engineers had an edge against business graduates because of their technical expertise, but now M.B.A.s can use AI to compete in that zone, Bray said.
He encourages his students to offload as much work as possible to AI, treating it like “a really proficient intern.”
Ben Morton, one of Bray’s students, is bullish on AI but knows he needs to be able to work without it. He did some coding with ChatGPT for class and wondered: If ChatGPT were down for a week, could he still get work done?
Learning to code with the help of generative AI sped up his development.
“I know so much more about programming than I did six months ago,” said Morton, 27. “Everyone’s capabilities are exponentially increasing.”
Several professors said they can teach more material with AI’s assistance. One said that because AI could solve his lab assignments, he no longer needed much of the class time for those activities. With the extra hours he has students present to their peers on AI innovations. Campus is where students should think through how to use AI responsibly, said Bill Boulding , dean of Duke’s Fuqua School.
“How do we embrace it? That is the right way to approach this—we can’t stop this,” he said. “It has eaten our world. It will eat everyone else’s world.”
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Report by the San Francisco Fed shows small increase in premiums for properties further away from the sites of recent fires
3 min
Wildfires in California have grown more frequent and more catastrophic in recent years, and that’s beginning to reflect in home values, according to a report by the San Francisco Fed released Monday.
The effect on home values has grown over time, and does not appear to be offset by access to insurance. However, “being farther from past fires is associated with a boost in home value of about 2% for homes of average value,” the report said.
In the decade between 2010 and 2020, wildfires lashed 715,000 acres per year on average in California, 81% more than the 1990s. At the same time, the fires destroyed more than 10 times as many structures, with over 4,000 per year damaged by fire in the 2010s, compared with 355 in the 1990s, according to data from the United States Department of Agriculture cited by the report.
That was due in part to a number of particularly large and destructive fires in 2017 and 2018, such as the Camp and Tubbs fires, as well the number of homes built in areas vulnerable to wildfires, per the USDA account.
The Camp fire in 2018 was the most damaging in California by a wide margin, destroying over 18,000 structures, though it wasn’t even in the top 20 of the state’s largest fires by acreage. The Mendocino Complex fire earlier that same year was the largest ever at the time, in terms of area, but has since been eclipsed by even larger fires in 2020 and 2021.
As the threat of wildfires becomes more prevalent, the downward effect on home values has increased. The study compared how wildfires impacted home values before and after 2017, and found that in the latter period studied—from 2018 and 2021—homes farther from a recent wildfire earned a premium of roughly $15,000 to $20,000 over similar homes, about $10,000 more than prior to 2017.
The effect was especially pronounced in the mountainous areas around Los Angeles and the Sierra Nevada mountains, since they were closer to where wildfires burned, per the report.
The study also checked whether insurance was enough to offset the hit to values, but found its effect negligible. That was true for both public and private insurance options, even though private options provide broader coverage than the state’s FAIR Plan, which acts as an insurer of last resort and provides coverage for the structure only, not its contents or other types of damages covered by typical homeowners insurance.
“While having insurance can help mitigate some of the costs associated with fire episodes, our results suggest that insurance does little to improve the adverse effects on property values,” the report said.
While wildfires affect homes across the spectrum of values, many luxury homes in California tend to be located in areas particularly vulnerable to the threat of fire.
“From my experience, the high-end homes tend to be up in the hills,” said Ari Weintrub, a real estate agent with Sotheby’s in Los Angeles. “It’s up and removed from down below.”
That puts them in exposed, vegetated areas where brush or forest fires are a hazard, he said.
While the effect of wildfire risk on home values is minimal for now, it could grow over time, the report warns. “This pattern may become stronger in years to come if residential construction continues to expand into areas with higher fire risk and if trends in wildfire severity continue.”
