The current conversation around artificial intelligence is dominated by a powerful, fast-moving narrative, but it might be leading us in the wrong direction. Karen Hao, the journalist and author of the New York Times bestseller Empire of AI, is challenging business leaders to pause and reconsider these assumptions. As we rush to scale AI across industries—from marketing to healthcare—the focus has shifted almost exclusively toward generative AI and Artificial General Intelligence (AGI). Hao argues that this singular focus may obscure the more practical, foundational machine learning systems that have been driving genuine progress for years.

Her upcoming keynote at the Marketing AI Conference (MAICON) 2026 is designed to be more than a set of predictions about the future; it is a critical audit of the present. Hao’s reporting highlights how a small, consolidated group of technology companies exerts significant power over the trajectory of AI development. By defining the industry’s success metrics through the lens of their specific product roadmap, these firms shape how organizations allocate capital, manage risk, and define their competitive strategies. For students and future leaders, understanding this dynamic is essential for distinguishing between genuine technical utility and high-level marketing hype.

The consequences of accepting the current narrative without scrutiny are significant for anyone involved in AI strategy. If leaders operate on incomplete or biased assumptions about where the true value of AI lies, they risk misallocating resources and failing to implement solutions that offer broad economic or societal benefits. Hao’s work aims to bridge the gap between the flashy promises of today’s models and the underlying realities of how AI is built and deployed. She asks a fundamental question: what role should organizations play in actively influencing the direction of technological development, rather than merely reacting to the industry standard?

Ultimately, this keynote emphasizes that the way we develop technology is not a predetermined path but a set of choices. By dissecting the systems, incentives, and power structures currently in play, Hao provides a framework for leaders to navigate the landscape more clearly. For those looking to implement AI responsibly, this perspective is crucial—it turns the conversation away from passive adoption and toward active, critical engagement with the tools we choose to integrate into our organizations.

The current conversation around artificial intelligence is dominated by a powerful, fast-moving narrative, but it might be leading us in the wrong direction. Karen Hao, the journalist and author of the New York Times bestseller Empire of AI, is challenging business leaders to pause and reconsider these assumptions. As we rush to scale AI across industries—from marketing to healthcare—the focus has shifted almost exclusively toward generative AI and Artificial General Intelligence (AGI). Hao argues that this singular focus may obscure the more practical, foundational machine learning systems that have been driving genuine progress for years.

Her upcoming keynote at the Marketing AI Conference (MAICON) 2026 is designed to be more than a set of predictions about the future; it is a critical audit of the present. Hao’s reporting highlights how a small, consolidated group of technology companies exerts significant power over the trajectory of AI development. By defining the industry’s success metrics through the lens of their specific product roadmap, these firms shape how organizations allocate capital, manage risk, and define their competitive strategies. For students and future leaders, understanding this dynamic is essential for distinguishing between genuine technical utility and high-level marketing hype.

The consequences of accepting the current narrative without scrutiny are significant for anyone involved in AI strategy. If leaders operate on incomplete or biased assumptions about where the true value of AI lies, they risk misallocating resources and failing to implement solutions that offer broad economic or societal benefits. Hao’s work aims to bridge the gap between the flashy promises of today’s models and the underlying realities of how AI is built and deployed. She asks a fundamental question: what role should organizations play in actively influencing the direction of technological development, rather than merely reacting to the industry standard?

Ultimately, this keynote emphasizes that the way we develop technology is not a predetermined path but a set of choices. By dissecting the systems, incentives, and power structures currently in play, Hao provides a framework for leaders to navigate the landscape more clearly. For those looking to implement AI responsibly, this perspective is crucial—it turns the conversation away from passive adoption and toward active, critical engagement with the tools we choose to integrate into our organizations.