Nov 12, 2026 · 1h 5m
AI promises more ads, but raises harder questions about trust
How AI Is Reinventing Advertising and the Future of Brand Creativity | Robin Taconet x Shekhar Natrajan
The episode tests whether AI can relieve advertising’s creative bottleneck without eroding brand identity, human judgment, and confidence in what people see.
- 1AI can help brands generate, test, and optimize large volumes of creative assets as audiences tire of repeated advertising.
- 2Synthetic media creates new risks around deepfakes, fraud, misinformation, disclosure, and the limits of human review.
- 3The strongest case for AI may lie beyond efficiency—in coordination, medicine, robotics, and reducing meaningless work.
Don't miss
The speakers confront the possibility that reviewing thousands of AI-generated assets can exhaust human oversight until it becomes a surrender of agency.
The brief
Robin Taconet, drawing on engineering and big-tech experience, explains why advertising platforms demand more creative while audiences grow less responsive to repeated assets.
Taximetry uses specialized models, agents, campaign feedback, and human choices to generate and select brand assets at scale, supplementing distribution through Meta and Google.
The central tension is not simply AI slop versus polished output: disclosure, provenance, cloned voices, and review fatigue make trust and oversight part of the creative workflow.
The conversation widens from advertising economics to AI’s possible value in medicine, drug discovery, robotics, and coordination—while keeping military use, manipulation, and democracy in view.
The episode’s sharpest warning is that human oversight can become another automated ritual when people must review thousands of generated assets and gradually surrender agency.
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