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Governments around the world are accelerating incentives for AI, robotics, and automation. Productivity is rising. Capital is scaling. But the public good hasn’t been redesigned to keep up. This manifesto argues that the issue isn’t technology — it’s incentive design. If machines do more of the work, then policy, taxation, and public services must evolve just as quickly. Otherwise, abundance concentrates while instability spreads. This is not an anti-AI argument. It’s a systems design argument. We don’t need to slow automation. We need to rebalance what it’s serving. What You’ll Find in This Video Why automation is not neutral The hidden incentives accelerating displacement The difference between productivity and shared prosperity Why the public good must scale alongside intelligence A framework for rebalancing policy before the system tips too far About the Project This video is part of the broader Google Me / Abundance Framework exploration — examining how AI, policy, and system design shape the world we’re moving into. Karellen’s role in this series is to ask structural questions — not partisan ones — about how incentives quietly shape outcomes. AI tools assisted with structure and synthesis. The argument and positioning are intentionally designed. A matching Deep Dive in this same prompt gives more detailed information https://drive.google.com/file/d/10VJZ... ---------And is interesting in it's own way, Karellen makes an appearance ⏱️ Chapters 00:00 Manifesto for Public Good 00:48 Automation is not neutral 02:05 Incentives shape outcomes 03:30 Productivity vs shared prosperity 05:10 Rebalancing the public good 06:20 What happens if we don’t Keywords AI policy Automation economics Public good Abundance economy Incentive design Tax incentives and automation Future of work AI and society Systems thinking