How to accelerate AI transformation
A new MIT Sloan executive education course looks at how organizations need to align “the work, the workforce, and the workplace” to succeed with artificial intelligence.
Faculty
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.
A new MIT Sloan executive education course looks at how organizations need to align “the work, the workforce, and the workplace” to succeed with artificial intelligence.
From MIT Sloan experts, innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.
Visiting senior lecturer Paul McDonagh-Smith recommends treating vendor exits as staged migrations rather than one-time cutovers. "Proceed like a surgeon, not a butcher: map dependencies, shadow-run replacements for one cycle before decommissioning and negotiate from the renewal date backwards."
Visiting senior lecturer Paul McDonagh-Smith wrote: "If you want to measure AI transformation, don't start with 'How many people used the tool?' Start with the work itself: decompose it, see which tasks have changed, and then ask what new meaning is being created. The value is often there. The question is whether we've built the units of measurement to see it."
"The organizations I've seen moving fastest have built governance systems early enough that they became a permission structure, rather than a constraint," said visiting senior lecturer Paul McDonagh-Smith. "Governance is scaffolding: a structural condition to make ambitious experimentation possible without systemic collapse."
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."
Learn how to lead AI initiatives strategically and effectively with MIT Sloan Executive Education's 5-day in-person course. Gain a comprehensive understanding of AI technologies and their impact on the future of work.
This program bridges strategic insight with hands-on application, grounded in the premise that we are entering an era of AI-driven enterprises where intelligent agents function not merely as tools, but as teammates embedded in the organizational fabric. We equip business leaders with the strategic frameworks and practical capabilities required to lead this transition responsibly. Over several interactive days, participants move from foundational understanding to actionable strategy: clarifying where agentic AI creates value, designing pilot initiatives with appropriate safeguards, and constructing deployment playbooks that integrate risk, governance, and scaling considerations.