Business Schools Are Going All In on AI
American University, other top M.B.A. programs reorient courses around artificial intelligence; ‘It has eaten our world’
American University, other top M.B.A. programs reorient courses around artificial intelligence; ‘It has eaten our world’
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.”
On the owner’s deck, a 20-metre swimming pool incorporates Feadship’s patented ContraWave technology and extends indoors as a suspended, glass-bottomed infinity pool.
Automobili Lamborghini is turning its attention to something considerably more difficult to define: what makes Italian excellence uniquely Italian?
Surging demand from AI data centres has driven flash memory prices up fivefold over the past year, giving suppliers such as Kioxia greater leverage over Apple. The shift is increasing storage costs for the iPhone maker, putting pressure on profit margins and contributing to higher prices across its product lineup.
During a ride in a Southern California desert, sales executive Scott Nelson stopped his dirt bike, pulled out a rifle and shot his old iPod.
Nelson sold flash storage to Apple AAPL -0.94%decrease; down pointing triangle and hated feeling like he always got the worst end of the deal. His Japan-based manufacturer, Kioxia, had little leverage. Apple was the world’s biggest buyer of flash—the chips in iPhones that store photos, music and apps—and used its position to squeeze every cent from suppliers. Apple bullied flash makers into opening their books so it could monitor sales, making sure no one else got a better deal.
Kioxia and other flash makers stewed as Apple paid them pennies for flash storage that the iPhone maker resold to customers for dollars. The disparity in bargaining power had galled Nelson, who used Android phones in protest.
Nelson kept the broken pieces of his iPod, the first Apple device to use flash. They sit on his desk and hold a special reverence now that the tables have turned.
In the past year, demand by AI hyperscalers has quintupled prices for flash, according to research firm TechInsights, opening a new era for Kioxia and other suppliers. Two years ago, Apple bought nearly twice the flash storage of Microsoft, Amazon, Meta and Google combined, according to TechInsights estimates. Hyperscalers are now buying double Apple’s share.
Flash memory suppliers and their sales teams privately expressed their glee at Apple’s comeuppance during chitchat at the industry’s largest conference this summer in Santa Clara, Calif. AI deals have given Kioxia sales executives and other flash suppliers new leverage to charge Apple higher prices.
Meta, Microsoft and Amazon signed contracts with Kioxia this year to secure long-term supply by committing to higher prices. The contracts protect Kioxia’s profits if the market turns. The company declined to comment.
Hyperscalers can afford to pay more. Flash storage is a smaller part of building a data center than making an iPhone, and accounting rules allow companies to spread the cost over years.
Apple is expected to spend $25 billion on flash storage this year for about the same amount it bought for $6 billion in 2025, according to estimates by TechInsights. Tim Cook, Apple’s executive chairman, compared escalating memory chip prices to a “100-year flood.”
Yet Apple had ignored analysts’ warnings and was caught off guard, said people familiar with the company’s procurement practices.
Company executives believed they knew the market better than anyone else, the people said. Flash that cost $68 a gigabyte in 2005 had fallen to a nickel by 2023. Now, demand by the AI industry has lifted the price to more than 30 cents a gigabyte, a 550% jump, threatening Apple’s steep profit margins from selling extra storage.
Buyers of the iPhone 17 Pro paid Apple $200 last year for double the storage of its 256-gigabyte base model. The extra storage at the time cost Apple $15 and has since shot up to $66, according to an analysis by The Wall Street Journal.
“Apple has historically driven a very hard bargain with memory suppliers,” said Walt Coon, an analyst at TechInsights. “And there’s no shortage of satisfaction among suppliers now that the balance of power is shifting.”
“We’ve worked with many of our suppliers for decades, and we deeply value their partnership over the years,” Apple said in statement. “We look forward to continuing our important work together.”
Apple recorded an average gross profit of more than 80 cents for every dollar it charged iPhone and iPad buyers for extra storage since it first released those devices through 2025, the Journal found. For Mac computers sold since 2010, it averaged nearly 80 cents.
In recent months, Apple raised prices for nearly all of its products. Prices rose an average of 13% for iPhones, an increase that included older models which typically get a price cut.
The question for Apple is whether consumers will react to the higher prices by keeping their iPhones longer or whether they will continue to buy at their usual pace. For flash-storage makers, the question is when—or if—Apple will regain its flash-market leverage.
“It’s been a love-hate relationship between Apple and the flash industry,” said Mark Newman, an analyst with Bernstein Research. Apple has sustained the manufacturers for years, he said, but its power to cap prices, while beneficial to shareholders, left suppliers feeling “screwed.”
In 2001, engineers at Kioxia, then called Toshiba, showed two Apple executives a 1.8-inch-diameter, 5-gigabyte hard drive they had developed but didn’t yet know what to do with.
When the Writers Festival was called off and the skies refused to clear, one weekend away turned into a rare lesson in slowing down, ice baths included.
Studio apartments have almost disappeared from new Australian developments. Lura is bringing them back to Burleigh Heads from $495,000.