First AI-Native Core MBA Course at Harvard

Harvard Business School has introduced a new course to its required curriculum, which may signal the future of MBA education. Designed to prepare students for a business world increasingly shaped by artificial intelligence, all 935 first-year MBA students will take the Data Science and AI for Leaders (DSAIL) course.

What sets DSAIL apart isn’t just its content but also its delivery. It’s AI-native and infused with intelligent agents that support real-time learning and hands-on data exploration. This bold move reflects a growing consensus in the business and academic communities. Namely, future leaders need to understand more than just strategy and operations—they need to understand AI.

“If the 20th century was defined by the MBA wielding Excel, this century will be defined by MBAs working hand-in-hand with AI agents,” wrote HBS professor Marco Iansiti in a recent Substack post introducing the course. “Reimagining organizations, business models, and operating models from the ground up.”

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Why Now?

AI breakthroughs are becoming the beating heart of competitive strategy. Generative AI, machine learning, and large language models are already transforming how companies make decisions, design products, and structure teams. “Even for organizations that haven’t traditionally thought of themselves as ‘tech’ companies,” Iansiti notes, “AI’s potential to transform business models is enormous.”

That urgency inspired Iansiti and co-lead Professor Iavor Bojinov to create DSAIL from scratch, backed by a sprint-mode collaboration with the HBS Digital Data Design Institute and technology partner Julius.ai. It’s a timely addition to the growing conversation around the role of AI in MBA curriculum design across top business schools.

What Makes DSAIL Different: A New Approach to AI in MBA Curriculum

The course structure covers four core modules, starting with today’s AI landscape and culminating in students designing and deploying their AI agents. But what makes DSAIL genuinely different is how it integrates AI into the learning process itself.

AI in MBA curriculum

Two tools, built specifically for the course, give students hands-on access to advanced capabilities:

DSAIL Tutor Bot: An on-demand, RAG-based AI assistant trained on the course’s entire content library—including HBS cases, econometrics texts, and Iansiti’s own research. It’s available 24/7 for students to ask questions, revisit concepts, and explore deeper topics. This is a professor’s assistant who never sleeps.

Julius.ai: A no-code data science agent that lets students run regressions, analyze customer segments, and visualize data—all by typing natural language prompts. “The real focus,” says Iansiti, “is on business insight, not syntax.”

These AI “co-pilots” remove friction from the learning process and emphasize strategic thinking. Students will no longer get bogged down in Python or R syntax. Instead, they can focus on the decisions that data enables.

Teaching MBAs to Think—and Lead—Differently

The course is grounded in real-world cases, many of which were explicitly developed for this curriculum. Students examine how companies like Moderna use AI in product development, explore causal inference and hypothesis testing through business data, and confront ethical dilemmas surrounding bias and privacy in machine learning models.

This new HBS course is not about chasing the hype. It’s about equipping leaders to navigate—and shape—what comes next.

“AI isn’t a bolt-on feature,” Iansiti explains. “It changes how products get built, how data flows, how we learn from customers, and how we generate revenue.” DSAIL aims to give MBAs fluency in this new language of business—and the confidence to lead with it.

AI in MBA curriculum

A New Standard for MBA Education?

DSAIL may set a precedent for other business schools grappling with how to modernize their core curriculum. Most programs still treat AI and data science as electives, often buried under technical jargon or siloed in analytics tracks. HBS, by contrast, has put AI in the MBA curriculum front and center, making it part of the shared experience that defines the first-year MBA journey.

Importantly, the course doesn’t assume students are technical experts. Its design reflects a broader principle: that business leaders must understand what AI can do, how to integrate it responsibly, and where it can create the most value. Even if they never write a line of code.

“Ultimately,” Iansiti writes, “an MBA in 2025 and beyond should feel at home working alongside AI agents—just as comfortable as previous generations were navigating Excel spreadsheets.”

Redefining What Every MBA Must Know

Business is at an inflection point. The rise of AI is changing how firms operate—and how leaders must think. HBS’s new required course represents more than a curriculum update. It’s a clear signal that the skills and mindsets that once defined elite MBA programs are evolving fast.

Courses like DSAIL go far beyond teaching the mechanics of AI. They challenge students to ask the more significant questions. For example, what kind of leader will I be in a world shaped by machines? How do we build AI systems that are not only effective but also ethical? And how do we ensure that business innovation serves people—not just profits?

These are the questions this course asks students to wrestle with—and why, in our view, it couldn’t have arrived at a better time.

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