Me, Myself, and AI

By MIT Sloan Management ReviewBusiness Technology Education

Me, Myself, and AI episodes

September 29 AI for Process, People for Heart: GoFundMe’s Tim Cadogan
A time of crisis often requires the need for ongoing assistance, but many of us struggle with requesting help from others. GoFundMe CEO Tim Cadogan joins us to explain how the fundraising company is using artificial
intelligence to make such times easier, drawing on lessons from tens of
millions of fundraisers to help people tell their stories and mobilize their
communities.
Tim shares how GoFundMe’s AI-powered fundraising coach is reducing stress, building confidence, and helping people raise more without losing the human connection at the heart of giving. The conversation explores a compelling vision for AI: not replacing people but helping us act on one of our most fundamental instincts — to help one another.
Guest bio:
Since 2020, Tim Cadogan has been the CEO of the fundraising platform GoFundMe, which people have used to raise over $40 billion for themselves, loved ones, communities, and nonprofits.
Previously, he was CEO of OpenX, which he built into one of the world’s largest ad exchanges, and Yahoo, where he led the global advertising business and ran the consumer search division. He began his career at Boston Consulting Group in London.
Cadogan received his bachelor’s degree from the London School of Economics and Political Science, a Master in Philosophy from Oxford University, and a Master in Business Administration from Stanford University. He has served as a search and rescue volunteer since 2010.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
28 min
September 15 AI Goes Grocery Shopping: Instacart’s David McIntosh
With the acquisition of the Caper cart, a technology-enabled shopping cart,
grocery-delivery company Instacart began bridging the gap between online and in-person shopping. On today’s episode, David McIntosh, the company’s former chief connected stores officer, joins host Sam Ransbotham to share how physical AI is helping shoppers track
their purchases, retailers manage inventory, and product manufacturers stock the right items at the right times.
Guest bio:
David McIntosh is Instacart’s former chief connected stores officer, where he led the company’s in-store offerings including Caper, an AI-powered smart-cart, enabling retailers to deliver seamless omnichannel retail experiences across online and in-store.
Prior to joining Instacart in 2021, McIntosh was the CEO and cofounder of Tenor, a leading GIF and expression search engine integrated into top messengers including WhatsApp, Discord, and iMessage, which Google acquired in 2018. At Google, McIntosh grew Tenor to over one billion users and more than one billion queries per day.
McIntosh was previously named Forbes 30 under 30 in consumer technology. He attended the University of California at Berkeley and studied electrical engineering and computer sciences.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
28 min
July 21 Creating Shared Prosperity With AI: Stanford Digital Economy Lab’s Erik Brynjolfsson
Erik Brynjolfsson has a challenge for anyone worried about artificial
intelligence: Stop asking what AI will do to us, and start asking what
we will do with AI.
In this episode, the Stanford University economist explains why technology isn’t the biggest barrier to progress — people, organizations, and institutions are. Drawing on new research into AI’s impact on jobs, productivity, and economic growth, he argues that the future isn’t predetermined: It will be shaped by the choices we make today. This is a timely conversation about human agency, shared prosperity, and why the most important AI breakthroughs may have less to do with technology than with how we use it. Read the episode transcript here.
Guest bio: Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and senior fellow at the Stanford Institute for Human-Centered AI, and
director of the Stanford Digital Economy Lab. He is also the Ralph
Landau Senior Fellow at the Stanford Institute for Economic Policy
Research, professor by courtesy at the Stanford Graduate School of
Business and Stanford Department of Economics, and a research associate
at the National Bureau of Economic Research.
A best-selling author, Brynjolfsson focuses his research on examining the effects of information technologies on business strategy, productivity and performance, digital commerce, and intangible assets.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

40 min
June 22 AI Upskilling at Scale: Bank of America’s Bernard Hampton
Today’s episode, the final one of Season 13, explores how Bank of America is preparing a massive global workforce for an AI future through upskilling and reskilling. Bernard Hampton, head of the financial institution’s Academy, explains how the learning and development organization focuses on workforce agility and a building combination of technical and soft skills.
Bernard outlines a three-level approach to adopting artificial intelligence
and shares situations in which he feels humans need to stay in the loop. Read the episode transcript here.
Guest bio:
Bernard Hampton leads The Academy, which is responsible for onboarding and upskilling more than 200,000 employees as Bank of America’s chief people organization. The Academy, a team of more than 1,000 dedicated professionals, provides expert facilitation and coaching, compliance education, and immersive technology.
Hampton joined the bank in 2004 and has served in many leadership roles, including as a consumer banking division executive. In addition to serving as the bank’s executive market sponsor for the West Palm Beach market, he is an executive sponsor for multiple employee engagement groups, networks, and development programs including the Intergenerational Employee Network.
Hampton also serves on the global advisory board for Operation Hope, and he is a Herndon Directors Institute fellow and a 2022 inductee to the Executive Leadership Council. He also serves as an executive board member of the Urban League of Palm Beach County.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
30 min
June 01 AI for Interoperability in Health Care: Philips’s Carla Goulart Peron
On today's episode, Philips’s chief medical officer Carla Goulart Peron shares how artificial intelligence is reshaping health care — not by replacing clinicians but by expanding access, improving diagnostics, and freeing doctors to focus more time on patients. Drawing on her experience practicing medicine in Brazil’s strained public health system, she explains how technologies like AI-assisted imaging and remote collaboration can bridge critical gaps in care. Carla also explores the challenges of trust, bias, interoperability, and women’s health data in the next era of AI-enabled medicine. She offers a grounded, global perspective on how technology can make health care more human. Read the episode transcript here.
Guest bio:
Dr. Carla Goulart Peron is chief medical officer at Philips. A physician by training, she leads the global team shaping the health technology company’s medical strategy for achieving scientific excellence across medical affairs, clinical research, medical safety, and health economics. Before joining Philips, she was vice president and chief medical officer for surgical innovations and robotics at Medtronic.

Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
34 min
May 19 A Need for Nuance: The Economist’s Andrew Palmer
On today’s episode, Andrew Palmer, senior editor at The
Economist, describes how organizations can experiment with
generative AI while balancing speed, quality, and risk. At his own
organization, Andrew and others test AI with human oversight to develop editing and publishing efficiencies.
As the host of The Economist’s Boss Class podcast, Andrew speaks with leaders as well as early-career professionals, and highlights interesting insights from recent conversations around skills and hiring. Read the episode transcript here.

Guest bio:
A senior editor at The Economist, Andrew Palmer writes about
the workplace for the “Bartleby” column and hosts Boss Class,
a limited-season podcast about management. His previous roles at the
publication, which he joined in 2007, include Britain editor, executive editor,
business-affairs editor, head of the data team, Americas editor, finance editor, and banking correspondent.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
41 min
May 05 Behind the AI in the Newsroom: The Washington Post’s Vineet Khosla
In this episode, Sam speaks with Vineet Khosla, CTO of The Washington Post, about how AI is reshaping the way news is produced, delivered, and consumed. Vineet argues that journalism itself isn’t broken — but the formats people use to consume news are rapidly evolving, especially as audiences increasingly interact with information through AI.
The conversation explores how the Post is experimenting with
personalized AI podcasts, AI-powered research tools for journalists, and conversational news experiences that help readers understand not just what happened but why it matters and how it connects to
other world events.
Behind the scenes, the Post is deploying artificial intelligence across the entire organization, and Vineet shares details about the organization’s “AI everywhere” philosophy. Read the episode transcript here.
Guest bio:
Vineet Khosla, chief technology officer at The Washington Post, is a renowned AI engineer whose career has been marked by groundbreaking
achievements. Before joining the Post in 2023, Khosla created Uber’s global maps routing system with cutting-edge AI tools. He was the first engineering hire for Siri’s natural language engine, and as a senior AI engineer with Apple, he played a central role in developing the core natural
language understanding engine and the architectural framework that allowed the virtual assistant to operate on devices.
Khosla has been working with AI since 2005 and is the holder of two patents and multiple white papers published on the subject. He earned a master’s in artificial intelligence at the University of Georgia and a bachelor’s in computer science at Pittsburg State University.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
39 min
April 21 Industrial AI for the Physical World: Siemens’s Peter Koerte
In this episode, Sam talks with Peter Koerte, member of the managing board and chief strategy and technology officer of Siemens, about how industrial AI is quietly transforming the infrastructure that powers everyday life.
While consumer AI grabs headlines, Peter explains how artificial
intelligence is improving factories, transportation systems, energy
grids, and buildings behind the scenes. The conversation explores what
makes industrial AI different — from the need for near-perfect accuracy
to the challenge of working with proprietary, domain-specific data.
Peter shares examples like predicting train door failures days in
advance, optimizing building energy use, and accelerating complex
engineering simulations. Peter and Sam also discuss the importance of
domain expertise, the value of data-sharing partnerships across
companies, and why transformation is as much about people and workflows
as it is about technology. Read the episode transcript here.
Guest bio:
As a member of the managing board, chief strategy officer, and chief
technology officer of Siemens, Peter Koerte is responsible for
developing the company’s strategy and leading its worldwide research and
development activities. His current priorities include accelerating
development of innovative sustainable technologies and continuing
development of the Siemens Xcelerator business platform.
Koerte previously headed Digital Health, a Siemens Healthineers unit
that develops AI-supported diagnostic procedures for health care. He
joined the corporate strategy side of the company in 2007 after working
for the Boston Consulting Group. Koerte holds a master’s degree in
business and engineering from the Karlsruhe Institute of Technology and a
doctorate in strategy and international management from the WHU-Otto
Beisheim School of Management. He also completed the General Management Program at Harvard Business School.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
32 min
April 07 Disintegrating the Org Chart: ServiceNow’s Jacqui Canney
In this episode, Sam is joined by Jacqui Canney, chief people and AI enablement officer at ServiceNow. Jacqui outlines how the software company has embedded AI agents into processes like employee onboarding to automate tasks, personalize experiences, and free up people’s time to focus on higher-value work. She emphasizes that successful adoption of artificial intelligence requires strong change management, workforce training, and a focus on talent — not just technology — including companywide AI skill assessments and personalized learning paths. Tune in to learn why Jacqui sees AI as a human capital opportunity. Read the episode transcript here.
*Please take our listener survey: ⁠⁠mitsmr.com/podcastsurvey⁠⁠
It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI."

Guest bio: Jacqui Canney is the chief people and AI enablement officer at
ServiceNow, where she leads the enterprise software company’s talent
strategies for improving employees experience and preparing them for the
future workforce through the use of technology and generative AI.
Before joining ServiceNow in 2021, Canney served as chief people
officer at WPP and Walmart. She previously worked at Accenture for 25
years. Canney currently sits on the board of directors for food delivery
platform Wonder and nonprofit Project Healthy Minds. She’s also on the
Institute for Corporate Productivity’s Chief HR Officer Board and Boston
College’s board of trustees, and she cochairs the Boston College Wall
Street Business Leadership Council.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
35 min
March 24 Shifting AI From Fear to Optimism: U.S. Department of Labor’s Taylor Stockton
In this episode, Sam speaks with Taylor Stockton, chief innovation officer at the U.S. Department of Labor, about how artificial intelligence is reshaping the workforce. Taylor emphasizes that AI is having an economywide impact,
transforming tasks within nearly every job rather than affecting only certain
industries or specific roles. He stresses the importance of helping
workers and businesses adapt.
He also argues that AI literacy is becoming a foundational skill and should be prioritized alongside soft skills like relationship building, which will remain essential for differentiation in an AI-driven economy. Taylor calls for shifting the public narrative from fear to optimism, toward highlighting the ways that AI expands opportunity, mobility, and meaningful work, instead of deepening uncertainty. Read the episode transcript here.
Guest bio:
As the chief innovation officer of the U.S. Department of Labor, Taylor Stockton leads an exploration into how artificial intelligence and emerging technologies impact the labor market and American workers, as well as what new innovations can support workers in achieving the American dream.
Stockton cofounded venture capital firm Pathway Ventures, which focuses on the future of work, and was the chief operating officer of an AI-powered workforce development company. He received his bachelor’s in management at Boston College and Master of Business Administration from Harvard Business School.

*Please take our listener survey: ⁠⁠⁠mitsmr.com/podcastsurvey⁠⁠⁠
It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI."
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.

31 min

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