While artificial intelligence’s implementation across industries and functions is proceeding unevenly, its application into nearly all areas of marketing is well underway. At the Kilts Center’s 2025 Ann Mukherjee Marketing Summit, Booth faculty and alumni marketing leaders gathered in Chicago to explore the evolution of personalized marketing in the era of AI and ubiquitous data.
During the keynote conversation, Ann Mukherjee, AB ’87, MBA ’94—the conference’s namesake as well as the former chairwoman and CEO of Pernod Ricard North America—spoke with Chicago Cubs chairman Tom Ricketts, AB ’88, MBA ’93, about his stewardship of the storied Major League Baseball franchise. Ricketts shared the ways the organization approaches personalized marketing and the value it brings in creating more direct, one-on-one relationships, achieving one of their core goals: to treat fans like family.
Other sessions explored AI’s possibilities (and potential problems), from enhancing worker productivity, to revealing customer needs, to improving shopping experiences, and more. Read on to explore key insights from four presentations on the intersection of AI, data analytics, and personalized marketing.
How to Apply AI Responsibly and Ethically
Andy Narayanan, MBA ’05 (XP-74), head of product management for foundation models and applied AI at Apple, predicts that AI will eventually be almost omnipresent in the background of day-to-day life, the way electricity is today. However, he noted that its full implementation will require significant time, collaborative effort, and public-private partnerships.
“AI is here, and it is going to fundamentally change how things are being done,” Narayanan said. “There’s a ton of opportunity, but we also have a responsibility to do this in a way that benefits society and does not hurt our customers and businesses.”
Unlike previous disruptions such as the printing press and mobile technologies, Narayanan said, AI represents something fundamentally different: “intelligence at scale,” with systems capable of reasoning, memorizing, and making autonomous decisions. Marketers will collaborate with AI systems as copilots, providing a desired outcome and asking AI to create the steps to achieve it.
Narayanan emphasized the need for responsible implementation to prevent algorithmic bias and protect consumers’ privacy. He suggested using diverse representative data sources for training and evaluation; implementing empirical safety approaches with quantifiable measures; and building explainability and traceability into AI models.
“One of my strong beliefs is that AI needs executive sponsorship,” Narayanan said. “It is not a tech-only project; it is a multidisciplinary function that requires executive leadership to make sure it works for everybody.”
Worker Productivity in the Era of AI
Chad Syverson, the George C. Tiao Distinguished Service Professor of Economics, explored AI’s potential impact on productivity growth amid a decades-long slowdown.
US productivity has declined by 1.2 percent annually since 2004 compared with the 1995–2004 period. This might seem like a minor difference, but Syverson noted that it compounds dramatically over time, resulting in approximately $21,500 of lost potential output per person every year.
This productivity slowdown isn’t isolated to America, Syverson added—it’s a global phenomenon affecting mature and emerging economies alike, with growth rates peaking in the early to mid-2000s before steadily declining.
Regarding AI’s potential to reverse this trend, Syverson cautioned against expecting overnight transformation. While he said AI may be “the most important technology in the century to this point,” he pointed out that its economic impacts will likely vary dramatically across sectors and unfold gradually.
He highlighted the “productivity J-curve” phenomenon, where new technologies’ benefits aren’t immediately visible in statistics. Companies investing in complementary capabilities—worker training, operational reorganization—record these as costs rather than investments, temporarily depressing measured productivity.
“Even if the technology is having a big effect right now, it might not be showing up in the numbers,” Syverson said. “You’re building intangible capital. If you’re retraining your workers now to work with AI, that is not being put on the books as capital investment.”
Using AI to Improve the Shopping Experience
Amy Carr, MBA ’04, chief marketing and digital officer at Thirdlove, an intimate apparel brand, shared insights into how her company is harnessing AI to transform its online presence. “I’d say this is our new frontier,” Carr said. “How do I create a personalized shopping experience in a digital world?”
Thirdlove’s AI strategy aims to tackle a fundamental disparity between physical and digital shopping. In-store shopping tends to be fluid and conversational, creating what Carr called a “circular experience” involving personal interaction between customers and staff. On the other hand, e-commerce sites have much more linear, impersonal pathways—you see a banner ad, you go to the website, you pick your product, you check out.
With the use of cookies being increasingly limited, Carr highlights the power of “zero-party data,” which is data that the customer voluntarily shares about their shopping preferences, purchase intent, personal context, and so on. Thirdlove is enhancing their site to capture this data. “You’re going to see questions pop up,” she said. “That’s us trying to re-sort the site, behind the scenes, based on what you answer.”
Carr identified two shifts poised to disrupt e-commerce. First, as consumers increasingly use AI chatbots over traditional search engines, companies will need to adjust their search optimization strategies. A second concern is the advent of AI shopping agents. Carr predicts that soon we will be able to give our smart-home devices our credit card information and ask them to do our shopping for us.
“Today, if a bot hits my site, I want to call it fraud and shut it down,” Carr said. “In the future, I have to be ready to accept these bots that come on to shop for people, and they may or may not be real. That keeps me up at night.”
A excerpt of this story focused on Andy Narayanan appeared in the Fall 2025 print issue of Chicago Booth Magazine.
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