


Chief of Research at Gartner, focused on tech strategy and emerging technologies
Oct 15, 3:30-5:00pm ET
Welcome to the Age of Intelligence
Welcome to the Age of Intelligence
Enterprise strategies for investing in AI and the enterprise technologies essential to survive and thrive over the next 20 years.
Gartner Fellow Mark McDonald brings 30 years of enterprise technology research to help leaders understand what he calls the Intelligence Supercycle, a seismic shift driven by AI, autonomous systems, and converging technologies that will redefine enterprise value over the next two decades.
While AI adoption is exploding, most companies remain stuck optimizing outdated digital processes. McDonald argues that this is no longer enough. The real opportunity lies in rebuilding strategy for an intelligence-native economy, one where speed, scale, and decision-making are radically transformed. Drawing on Gartner’s research and past supercycles, he offers actionable frameworks to help leaders distinguish between tech that merely extends the digital era and tech that defines the next one.
This isn’t about efficiency, it’s about rethinking the foundations of how organizations operate, compete, and grow.
As always, the conversation will be driven by the community, but some of the topics open for discussion include:
• How should technology leaders plan for a 20-year cycle when quarterly pressures dominate decision-making?
• Which organizations will emerge as the unexpected winners—and what early indicators should boards monitor?
• What are the hidden pitfalls that could derail even well-funded AI initiatives?
• How do you recognize the inflection point between optimizing current processes and building for the next paradigm?
Gartner Fellow Mark McDonald brings 30 years of enterprise technology research to help leaders understand what he calls the Intelligence Supercycle, a seismic shift driven by AI, autonomous systems, and converging technologies that will redefine enterprise value over the next two decades.
While AI adoption is exploding, most companies remain stuck optimizing outdated digital processes. McDonald argues that this is no longer enough. The real opportunity lies in rebuilding strategy for an intelligence-native economy, one where speed, scale, and decision-making are radically transformed. Drawing on Gartner’s research and past supercycles, he offers actionable frameworks to help leaders distinguish between tech that merely extends the digital era and tech that defines the next one.
This isn’t about efficiency, it’s about rethinking the foundations of how organizations operate, compete, and grow.
As always, the conversation will be driven by the community, but some of the topics open for discussion include:
• How should technology leaders plan for a 20-year cycle when quarterly pressures dominate decision-making?
• Which organizations will emerge as the unexpected winners—and what early indicators should boards monitor?
• What are the hidden pitfalls that could derail even well-funded AI initiatives?
• How do you recognize the inflection point between optimizing current processes and building for the next paradigm?


