For years, the biggest question in AI has been: *When will machines become as intelligent as humans?*

But what if that's the wrong question?

The systems already reshaping society don't need human-level intelligence. They don't need consciousness, reasoning, or autonomy. They simply need to become better at predicting us.

Every day, AI models help determine what we see, what we buy, who we trust, what captures our attention, and increasingly, how we make decisions. These systems power everything from advertising and recommendation engines to fraud operations, political targeting, hiring systems, and financial services. Their influence doesn't come from understanding humans. It comes from predicting human behavior with increasing accuracy.

In this keynote, cybersecurity founder and TEDx speaker Catherine Karow explores the rise of the prediction economy: a world where decades of behavioral data collection, data brokerage, machine learning, and generative AI are converging into systems designed to forecast and influence human action at unprecedented scale.

Drawing on real-world examples from cybersecurity, fraud, social engineering, AI, and consumer technology, this session examines why prediction may matter more than intelligence, how influence is becoming the defining capability of modern AI systems, and what that means for trust, autonomy, privacy, and the future of human decision-making.

The future may not belong to machines that think like humans. It may belong to machines that know what humans are likely to do next.

Keynote, TED-style Talk, or General Session

Technology leaders, cybersecurity professionals, AI practitioners, founders, product leaders, policymakers, marketers, and anyone interested in the societal impact of AI.

Beginner to Advanced. No AI or cybersecurity background required.

30-45 minutes keynote format, with optional 10-15 minute Q&A.

* Understand why behavioral prediction is becoming one of AI's most powerful capabilities.
* Learn how data collection, machine learning, and AI systems combine to influence human decision-making.
* Explore the connections between recommendation systems, advertising, fraud, social engineering, and AI-driven persuasion.
* Gain a framework for evaluating the opportunities and risks of increasingly predictive technologies.
* Better understand how trust, autonomy, and human agency may be affected by the next generation of AI systems.

Cat Karow is the CEO and Technical Co-Founder of ZoraSafe, an AI-powered platform helping individuals identify and avoid scams, fraud, and digital manipulation. She is a TEDx speaker whose work focuses on human risk, social engineering, consumer protection, and the intersection of AI, cybersecurity, and human behavior.

New for 2026/2027.
Builds on themes explored in Catherine's TEDx talk, *The Invisible Machine*, while introducing original research and analysis focused on AI, prediction systems, and human influence.