Paul McDonagh-Smith

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Paul McDonagh-Smith

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Paul McDonagh-Smith is a Visiting Senior Lecturer in Information Technology at the MIT Sloan School of Management. In his research and teaching, Paul creates key intersection points between technology and business. He specializes in translating computer and data science into measurable business value that evolves organizational capability, transformation, and strategy.

He teaches in MIT Sloan’s, ‘Accelerating Digital Transformation with Algorithmic Business Thinking’, and ‘Digital Learning Strategy’ programs. As an early pioneer in Digital Reality, Paul has successfully invented and innovated with Extended Reality (XR) and metaverse technologies across multiple industries for more than 20 years and is a featured lecturer in MIT Sloan’s, ‘Business Implications of Extended Reality (XR): Harnessing the Value of AR, VR. Metaverse, and More’ program. Paul also teaches in, and contributes to, a wide range of MIT Sloan Executive Education programs.

McDonagh-Smith plays a role in shaping the growing portfolio of digital programs at MIT Sloan Executive Education. He collaborates with the MIT Sloan team to define digital strategy and drives transformative technology experimentation.

Through close collaboration with Faculty, Labs, and Schools across MIT, as well as an extensive global network of industry partners, Paul’s approach to entrepreneurship is built upon a bias for practical action. More technology ‘presentist’ than technology ‘futurist’, Paul enables teams to invent their future, starting today.

He provides digital transformation, business model and strategy guidance to organizations across multiple industries and geographies as well as to a range of international government departments.

Prior to MIT, Paul held senior roles in Optical Network Systems Engineering, R&D, Emerging Products and Technology, Business Transformation and Human Resources during a 20-year career in the telecoms industry.

Paul is an advisor to NASA Goddard Space Flight Center, under the supervision of chief scientist, Dr. James B. Garvin.

Recent Insights

Ideas Made to Matter

Download: Insights for success in AI-driven organizations

From MIT Sloan experts, innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.

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Ideas Made to Matter

Leading the AI-driven organization

How to create an artificial intelligence strategy that takes into account key business priorities, organizational data strategy, and employee skills.

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Media Highlights

Press Newsweek

AI is not a 'silver bullet': Why most initiatives falter

Visiting senior lecturer Paul McDonagh-Smith said: "AI implementation isn't the same as AI adoption. If employees distrust AI or fear job disruption, executive acceptance can translate to workforce aversion. Senior leaders need to frame AI pilots as process redesigns. Establishing corporate AI governance early helps build confidence and trust."

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Executive Education

Executive Education Course

Implementing Agentic AI

AI agents behave more like competent coworkers than passive assistants awaiting instruction; they can be deployed to execute complex workflows without oversight, eliminating busywork so that your teams are free to pursue higher-value work that drives innovation and improves job satisfaction. However, you’ll only unlock the full value of agentic AI systems by implementing an effective and responsible deployment strategy. This Agentic AI online short course — created by the same MIT Faculty behind the acclaimed Artificial Intelligence: Implications for Business Strategy — equips business leaders with applied skills in agentic AI. In just three weeks, you’ll learn how — with the right preparation — you can use AI agents to drive team productivity and business ROI. This program offers technical and non-technical professionals a highly practical approach to understanding what agentic AI systems are, how they work, and how you can use them to reimagine workflows for a greater focus on organization-wide innovation and strategy. By taking this course, you’ll be preparing to equip your organization with a distinct advantage in a market that demands competitive AI strategy and implementation from businesses across all industries. This applied online AI course is delivered with a balance of structure and flexibility. The online, self-paced format empowers you to pursue your career goals while honoring your personal and professional commitments, while the cohort-learning experience encourages global connections with likeminded leaders in the esteemed MIT community.

  • Oct 7-Nov 3, 2026
  • May 20-Jun 16, 2026
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  • Jul 29-Aug 25, 2026
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Executive Education Course

AI Adoption

The AI Adoption: Driving Business Value and Impact 6-week course from MIT Sloan equips you to move from AI awareness to AI transformation throughout your organization. You'll map AI technologies to your critical business challenges and opportunities, navigate adoption barriers, and build sustainable co-creation practices that amplify human capability rather than replace it.

  • Jul 1-Aug 18, 2026
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