AI: Plan for UBI (Universal Basic Income)

If the robots use our data for training to eventually take our jobs, we are entitled to be compensated, right? 

But here’s the thing: the time for us to have an input into ways the new advancing economy should work, is running out.

How to capture the AI dividend so prosperity rises even when employment doesn’t:

 Peter Diamandis, podcaster, engineer, entrepreneur and named one of "The World's 50 Greatest Leaders" by Fortune, wrote a newsletter in January 2026 on this important topic and I have taken the liberty to replicate it here almost entirely and almost verbatim:

 “During my recent Moonshot podcast with Elon Musk, we dove into his notion of Universal High Income(UHI) – Elon’s proposal that an AI and Robotics will enable a world of sustainable abundance for all... a life beyond basic income, towards high income and standards of living.

When I asked him how this might work, he said:

“You know, this is my intuition but I don’t know how to do it. I welcome ideas.”

That single statement has been ringing in my head ever since. Here’s why: …  there’s a gap between that vision and getting there. 

How do we actually fund and distribute Abundance to everyone?

Today, I’m excited to share one compelling answer. I’ve been talking to Daniel Schreiber, CEO of Lemonade (the AI-insurance company that just launched 50% off premiums for Tesla FSD drivers), about a framework called the MOSAIC Model: a concrete proposal for how governments could implement Universal High Income without raising taxes on workers or businesses. (See the components of MOSAIC in my P.S. below.)

 Here’s the core insight that makes the math work:

When most people hear “mass job displacement,” they picture economic collapse: bread lines, depression, social chaos. That’s because they’re thinking about traditionalunemployment, where workers disappear and nothing replaces them.

AI unemployment is fundamentally different.

Think of it this way: imagine sending a digital twin to work in your place. It performs your tasks faster, cheaper, and better. The company’s output increases. GDP grows. The resources exist – they just need to be redistributed.

This is the Automation Paradox: AI can raise productivity while displacing labor.

When workers are replaced by more productive capital, GDP rises even as fewer humans work.

The challenge is not affordability. It’s capture and distribution.

Where the Money Actually Comes From

Daniel’s framework identifies two places the AI surplus shows up, and how to capture it without disrupting consumers or raising statutory tax rates:

Channel 1: Dynamic VAT (The Deflation Dividend)

Artificial Intelligence is deflationary. When AI cuts the cost of producing something by 30%, that value creation can either flow entirely to shareholders – or be partially recaptured for society.

Dynamic VAT works like this: as AI drives quality-adjusted price declines in goods and services, the VAT rate adjusts upward by exactly enough to keep consumer prices stable. Consumers pay the same. But the government captures part of the deflation dividend.

It’s frictionless redistribution. Prices don’t rise. No one feels it.

Channel 2: Over-Trend Profit Ring-Fencing

AI is generating windfall profits for companies at the frontier. Rather than raising corporate tax rates (which drives capital flight), the MOSAIC Model proposes ring-fencing only the above-trend portion of capital income tax receipts.

Baseline profits? Untouched. Normal corporate taxes? Unchanged. But what about the incremental surge in profits attributable to AI? A portion gets earmarked for the “Universal High Income” fund.

Statutory rates stay the same. Companies keep most of their windfall. But society captures enough to fund a universal floor.

What This Means for Families

Here’s where it gets real.

Under the MOSAIC Model’s basic implementation  a household with two non-working parents and two children would receive income equivalent to today’s fourth decile: roughly the 30-40th percentile of current household income. (Side Note: A ‘decile’ in statistics segments a dataset into 10 equal groups based on value.)

To be clear, that’s not survival-level subsistence. It’s lower-middle-class security. For doing nothing.

This creates a Universal Basic Floor – funded entirely by the two low-friction channels above.

But this is just the starting line, not the finish line.

If society chooses to capture more of the AI dividend through additional mechanisms (windfall levies, land-value capture, AI-services taxation), the floor could rise to what Daniel calls the “the UHI Benchmark”: approximately 120% of median wages. Upper-middle-class income.

Universal.

The surplus exists. The question is: how much do we collectively choose to redistribute?

Why Timing Is Everything

Here’s what keeps both Daniel and me up at night: the political window for implementing this is closing.

The MOSAIC Model’s political economy analysis shows something counterintuitive: feasibility is highest early in the AI transition – before capital consolidates opposition, before tech incumbents organize billion-dollar lobbying efforts, before the status quo hardens.

Wait until mass displacement is undeniable? By then, it may be too late to pass anything.

Act early or not at all.

A good system passed in 2026 beats a perfect system proposed in 2030 that fails.

The Invitation

Elon said he welcomes ideas. This is one.

The MOSAIC Model isn’t the only answer, but it’s a rigorous, economically grounded starting point. It demonstrates that Universal High Income is not utopian dreaming. It’s an engineering problem with identifiable solutions.

The AI dividend is real. The fiscal math works. The question is whether we have the collective will to build the capture mechanisms before the window closes.

The full MOSAIC Model is available today at https://www.mosaic.org.il/model for policymakers, economists, and fellow entrepreneurs to critique, improve, and implement.

Read the full plan, verify the math, and let’s debate this. Because this is not a matter of any single country or company getting it right. It’s about humanity navigating the biggest economic transition in history.

When AI takes our jobs, it should also pay our wages.

Let’s make that happen.

Peter Diamandis (in collaboration with Daniel Schreiber, @daschreiber, CEO of Lemonade and Chair of the MOSAIC AI Policy Institute)

P.S. The detailed components of MOSAIC that make the model affordable:

● M – Multi-channel / Mechanism(Implied): The core philosophy that no single tax can fund UHI alone; it requires a “mosaic” of multiple bases.

● O – Over-trend Ring-fencing:Earmarking 85% of the “windfall” capital-income tax receipts (profits and capital gains) that exceed historical trends.

● S – Savings (Government Automation Dividend - GAD): capturing the cost savings from automating government bureaucracy (e.g., using AI for back-office admin).

● A – AI-linked Deflation (Captured via Dynamic VAT): The largest tile. As AI drives prices down, the VAT rate adjusts upward to capture the “deflation gap,” keeping prices stable for consumers while generating revenue.

● I – Income (Negative Income Tax): The distribution mechanism itself, ensuring work always pays.

● C – Consolidation: Rolling existing, overlapping welfare transfers into the new single payment to avoid double-spending.

In short: The MOSAIC is the Fiscal Architecture. It argues that while one tax (like a “wealth tax”) is politically impossible or insufficient, a mosaic of VAT + Windfall Profits + Efficiency Savings + Legacy Consolidation creates a robust funding base for a poverty-ending income floor.”

Conclusion:

Please go to the website cited and see if you agree with the math. Then please find a place or way to give your input. 

https://www.mosaic.org.il/model

It is important – we have to partake in these decisions now.