The Martin Trust Center for MIT Entrepreneurship strives to teach students the craft of entrepreneurship. Over the last few years, no technology has changed that craft more than artificial intelligence.
While many are predicting a rapid and complete transformation in how startups are built, the Trust Center’s leaders have a more nuanced view.
“The fundamentals of entrepreneurship haven’t changed with AI,” says Trust Center Entrepreneur in Residence Macauley Kenney. “There’s been a shift in how entrepreneurs accomplish tasks, and that trickles down into how you build a company, but we’re thinking of AI as another new tool in the toolkit. In some ways the world is moving a lot faster, but we also need to make sure the fundamental principles of entrepreneurship are well-understood.”
That approach was on display during this summer’s delta v startup accelerator program, where many students regularly turned to AI tools but still ultimately relied on talking to their customers to make the right decisions for their business.
Students in this year’s cohort used AI tools to accelerate their coding, draft presentations, learn about new industries, and brainstorm ideas. The Trust Center is encouraging students to use AI as they see fit while also staying mindful of the technology’s limitations.
The Trust Center itself has also embraced AI, most notably through Jetpack, its generative AI app that walks users through the 24 steps of disciplined entrepreneurship outlined in Managing Director Bill Aulet’s book of the same name. When students input a startup idea, the tool can suggest customer segments, early markets to pursue, business models, pricing, and a product plan.
The ways the Trust Center wants students to use Jetpack is apparent in its name: It’s inspired by the acceleration a jetpack provides, but users still need to guide its direction.
Even with AI technology’s current limitations, the Trust Center’s leaders acknowledge it can be a powerful tool for people at any stage of building a business, and their use of AI will continue to evolve with the technology.
“It’s undeniable we’re in the midst of an AI revolution right now,” says Entrepreneur in Residence Ben Soltoff. “AI is reshaping a lot of things we do, and it’s also shaping how we do entrepreneurship and how students build companies. The Trust Center has recognized that for years, and we’ve welcomed AI into how we teach entrepreneurship at all levels, from the earliest stages of idea formation to exploring and testing those ideas and understanding how to commercialize and scale them.”
AI’s strengths and weaknesses
For the past few years, when the Trust Center’s delta v staff get together for strategic retreats, AI has been a central topic. The delta v program’s organizers think about how students can get the most out of the technology each year as they plan their summer-long curriculum.
Everything starts with Orbit, the mobile app designed to help students find entrepreneurial resources, network with peers, access mentorship, and identify events and jobs. Jetpack was added to Orbit last year. It is trained on Aulet’s “Disciplined Entrepreneurship” as well as former Trust Center Executive Director Paul Cheek’s “Startup Tactics” book.
The Trust Center describes Jetpack’s outputs as first drafts designed to help students brainstorm their next steps.
“You need to verify everything when you are using AI to build a business,” says Kenney, who is also a lecturer at MIT Sloan and MIT D-Lab. “I have yet to meet anyone who will base their business on the output of something like ChatGPT without verifying everything first. Sometimes, the verification can take longer than if you had done the research yourself from the beginning.”
One company in this year’s cohort, Mendhai Health, uses AI and telehealth to offer personalized physical therapy for women struggling with pelvic floor dysfunction before and after childbirth.
“AI has definitely made the entrepreneurial process more efficient and faster,” says MBA student Aanchal Arora. “Still, overreliance on AI, at least at this point, can hamper your understanding of customers. You need to be careful with every decision you make.”
Kenney notes the way large language models are built can make them less useful for entrepreneurs.
“Some AI tools can increase your speed by doing things like automatically sorting your email or helping you vibe code apps, but many AI tools are built off averages, and those can be less effective when you’re trying to connect with a very specific demographic,” Kenney says. “It’s not helpful to have AI tell you about an average person, you need to personally have strong validation that your specific customer exists. If you try to build a tool for an average person, you may build a tool for no one at all.”
Students eager to embrace AI may also be overwhelmed by the sheer volume of tools available today. Fortunately, MIT students have a long history of being at the forefront of any new technology, and this year’s delta v cohort featured teams leveraging AI at the core of their solutions and in every step of their entrepreneurial journeys.
MIT Sloan MBA candidate Murtaza Jameel, whose company Cognify uses AI to simulates user interactions with websites and apps to improve digital experiences, describes his firm as an AI-native business.
“We’re building a design intelligence tool that replaces product testing with instant, predictive simulations of user behavior,” Jameel explains. “We’re trying to integrate AI into all of our processes: ideation, go to market, programming. All of our building has been done with AI coding tools. I have a custom bot that I’ve fed tons of information about our company to, and it’s a thought partner I’m speaking to every single day.”
The more things change…
One of the fundamentals the Trust Center doesn’t see changing is the need for students to get out of the lab or the classroom to talk to customers.
“There are ways that AI can unlock new capabilities and make things move faster, but we haven’t turned our curriculum on its head because of AI,” Soltoff says. “In delta v, we stress first and foremost: What are you building and who are you building it for? AI alone can’t tell you who your customer is, what they want, and how you can better serve their needs. You need to go out into the world to make that happen.”
Indeed, many of the biggest hurdles delta v teams faced this summer looked a lot like the hurdles entrepreneurs have always faced.
“We were prepared at the Trust Center to see a big change and to adapt to that, but the companies are still building and encountering the same challenges of customer identification, beachhead market identification, team dynamics,” Kenney says. “Those are still the big meaty challenges they’ve always been working on.”
Amid endless hype about AI agents and the future of work, many founders this summer still said the human side of delta v is what makes the program special.
“I came to MIT with one goal: to start a technology company,” Jameel says. “The delta v program was on my radar when I was applying to MIT. The program gives you incredible access to resources — networks, mentorship, advisors. Some of the top folks in our industry are advising us now on how to build our company. It’s really unique. These are folks who have done what you’re doing 10 or 20 years ago, all just rooting for you. That’s why I came to MIT.”
