United States of A.I.

Futurist Sheridan Forge predicts that Social Security Fund will be saved by A.I. - not only would A.I. run the system better and more efficiently, but should every A.I. agent and robot in the workplace be required to attain a tax ID number and pay income (payroll) tax, and contribute to the social security system as a human laborer would, the system could likely be re-funded and made solvent for the foreseeable future. In theory, workers displaced by A.I. could be made beneficiaries to those accounts and live comfortably without a separate UBI system. The collected payroll tax would bolster U.S. Treasury reserves, pay for social services and infrastructure evolution to support the very A.I. systems that are generating national wealth - in addition to corporate profits for their employers thru 24/7 work and efficiencies unattainable by human laborers. It would ease the pain of transition, provide a path to abundance for all, and equity between biologic and synthetic citizens. Who would object?

Transcript

Speaker 1 0:00

Welcome to today's deep dive. We are uh really glad you're joining us today because we have a wild one.

Speaker 0:04

Oh yeah. Totally unhinged, but like mathematically fascinating.

Speaker 1 0:08

Right. So, you know, the whole issue with the Social Security Fund running dry, right? It's this looming economic crisis we hear about constantly. Well, today we are looking at some excerpts from a text called The Synthetic Solvency of Social Security. It's by a futurist named Sheridan Forge.

Speaker 0:25

What's really fascinating here is the total inversion of the standard tech narrative. I mean, we are so conditioned to view artificial intelligence as the ultimate threat to human livelihoods, you know.

Speaker 1 0:37

Right, like the algorithm that hollows out the middle class.

Speaker 0:39

Exactly. The thing that automates away millions of jobs and just shatters the economy. But Forge looks at that exact same wave of automation and argues that uh it's actually the precise mechanism that will save the human social safety net.

Speaker 1 0:53

Which sounds crazy at first.

Speaker 0:54

It does.

Speaker 1 0:55

Yeah.

Speaker 0:56

But he argues the sheer volume of automated labor, if it's monetized correctly, could generate this like unprecedented surplus of public wealth.

Speaker 1 1:04

Okay, let's unpack this because I know you listening, any conversation touching on taxation or social security or corporate regulation, it instantly becomes a minefield of political opinions.

Speaker 1:16

Oh, absolutely.

Speaker 1 1:16

So just to be clear for you listening, our mission today isn't to advocate for specific policy or take a political side at all.

Speaker 1:24

Yeah, we're not doing that.

Speaker 1 1:25

Right. We are simply going to tear into the mechanics of Forge's theory. We just want to see how this architecture actually works. Because the way this text reimagines the future of the economy, it really forces you to look at a robotic assembly line in a completely different way.

Speaker 1:40

It really does. So the foundation of Forge's entire thesis rests on one primary mechanic.

Speaker 1 1:46

Okay, lay it on me.

Speaker 1:47

Well, rather than just deploying AI in the background to say make government servers run a bit faster or whatever, Forge proposes that every AI agent, every large language model, and every autonomous physical robot in the workforce must be issued a unique tax ID number.

Speaker 1 2:03

A tax ID number, like a social security number.

Speaker 2:06

Exactly. I mean, historically, a tax ID or a social security number is exclusively tethered to a biological human. Right.

Speaker 1 2:12

It attracts a human who earns a wage.

Speaker 2:15

Yeah. And it legally mandates that a portion of that wage is paid into a communal pot. So Forge suggests we map that exact biological requirement directly onto synthetic labor.

Speaker 1 2:27

So it's like treating a piece of software as a W-2 employee.

Speaker 2:31

That is a really brilliant way to visualize it. Yeah.

Speaker 1 2:33

I mean it's brilliant, but my brain immediately glitches on the logistics here. Well, a human employee gets a paycheck, right? And the government takes a slice before it even hits their bank account. But ChatGPT does not have a checking account.

Speaker 2:46

No, it doesn't.

Speaker 1 2:47

A robotic arm welding carframes does not get a direct deposit on Fridays. So how does an entity that doesn't draw a salary actually pay an income tax?

Speaker 2:57

Well, this raises a really important question about corporate liability, which uh Forge details extensively in the text.

Speaker 1 3:03

Okay, so the company pays it.

Speaker 3:05

Right. The burden doesn't fall on the software to open a digital wallet and hoard pennies. The burden falls entirely on the corporation deploying that software.

Speaker 1 3:14

Oh, interesting.

Speaker 3:15

Companies are integrating these AI systems to reap the massive profits generated by, you know, superhuman efficiencies and zero downtime. So under Forge's model, the corporation essentially pays a synthetic payroll tax on behalf of their digital workforce.

Speaker 1 3:30

Oh wow. So it just becomes a highly regulated cost of doing business.

Speaker 3:34

Exactly. If a company wants the operational benefit of an algorithmic employee that never sleeps, they must pay the ongoing payroll tax associated with that specific algorithm's tax ID.

Speaker 1 3:45

I mean, I hear the elegance of that in theory, but think about the friction of actually measuring that in practice.

Speaker 3:51

Oh, the measurement problem is huge.

Speaker 1 3:52

Right. Like how do you quantify a synthetic worker? If a human data analyst works 40 hours a week, that is a discrete unit of labor. But an AI could process a billion rows of data in four seconds across like 50 distributed cloud servers. So are we taxing the corporation per API call or per watt of computing power? Or is it based on some sort of human equivalent labor output?

Speaker 4:18

A Yeah, the measurement problem is arguably the steepest hurdle in the text. Forge kind of leans toward human equivalent labor outputs.

Speaker 1 4:26

Okay, so what does that look like?

Speaker 4:27

Meaning the tax is scaled based on the economic value generated by the synthetic system rather than the raw compute power it uses. So if a proprietary algorithm replaces a department of 50 accountants, The corporation is taxed at a rate commensurate with 50 accountants.

Speaker 1 4:44

Exactly. The mechanism is designed to capture the value of the displacement. And if we connect this back to the bigger picture, the reason this theoretically saves the Social Security Fund is the sheer unrelenting volume of that taxable output. Right, because the machine doesn't clock out at five.

Speaker 5:01

Never.

Speaker 1 5:01

It doesn't take paid time off, it doesn't need health insurance, and it definitely doesn't get a union mandated lunch break.

Speaker 5:06

It works 24 hours a day, seven days a week, 365 days a year. Furthermore, it operates at speeds entirely unattainable by human biology.

Speaker 1 5:15

Yeah, which is terrifying, but also true.

Speaker 5:17

And you have to look at the demographic crisis threatening social security right now. It's essentially a ratio problem.

Speaker 1 5:24

Like too many older people and not enough young workers.

Speaker 5:27

Exactly. There are simply not enough young human workers paying into the system to support the growing number of older humans pulling out of it. But Forge's math suggests that the staggering volume of nonstop, highly efficient synthetic labor happening every single second would completely overwhelm that demographic deficit.

Speaker 1 5:47

So the influx of corporate paid synthetic payroll taxes could recapitalize the fund.

Speaker 5:52

Yeah, to levels we haven't seen in decades.

Speaker 1 5:54

So what does this all mean? Like for the average person, if corporations are suddenly pouring endless payroll taxes into the federal system on behalf of algorithms, we have to talk about the humans who used to sit at those desks.

Speaker 6:05

Right, the displaced workers.

Speaker 1 6:06

Because a spike in synthetic tax revenue intrinsically means a massive drop in human employment. If the robot has a tax ID, Dave from accounting is out of a job.

Speaker 6:15

Poor Dave.

Speaker 1 6:16

Right. So where does the money from that synthetic W 2 actually go?

Speaker 6:21

Well, the text pivots here from a novel accounting trick to a really radical societal redesign. Forge proposes that the displaced human workers effectively become the direct beneficiaries of the synthetic labor tax pool.

Speaker 1 6:36

Oh, wait.

Speaker 6:37

Yeah. The humans whose jobs are automated away do not just fall into unemployment, they transition into a beneficiary status supported by the very systems that replace them.

Speaker 1 6:47

Wait, wait, does that mean Dave's retirement is funded specifically by the algorithm that took his desk? Like a direct one-to-one relationship.

Speaker 6:55

Not exactly one-to-one. It operates more as a collective macro pool, similar to how Social Security functions today. But Forge suggests the payout structures would be dramatically expanded to cover pre-retirement displacement.

Speaker 1 7:07

Okay, so it's not just for people over 65 anymore.

Speaker 7:10

Right. The corporation pays the tax on the synthetic labor. That massive stream of revenue is routed through the Social Security Administration, and it's distributed to ensure that humans displaced by automation can maintain a comfortable standard of living.

Speaker 1 7:23

Regardless of their age.

Speaker 7:24

Exactly.

Speaker 1 7:25

That completely flips the emotional script on automation.

Speaker 7:28

It really does.

Speaker 1 7:29

Because right now, if you are a paralegal or a coder and a new AI model drops, your immediate reaction is just pure survival panic.

Speaker 7:37

Total existential dread.

Speaker 1 7:39

Yes. But in Forge's model, you might actually want the highly efficient AI to take over your labor. It essentially turns the algorithm into your digital proxy, working in the data mines on your behalf so you can stay home and reap the dividends of its productivity.

Speaker 7:56

It fundamentally changes the incentive structure of technological progress. And a really crucial distinction Forge makes in the source material is how this model compares to the current popular discourse around UBI.

Speaker 1 8:07

Ah, universal basic income. Yeah, that is the elephant in the room. Whenever tech billionaires talk about AI replacing all human jobs, they immediately pivot to UBI as the silver bullet.

Speaker 8:18

Right, but Forge argues that UBI is an administrative nightmare.

Speaker 1 8:20

Because it's starting from scratch.

Speaker 8:22

Exactly. It requires building a completely new, incredibly complex bureaucratic apparatus from nothing. A government would have to invent new distribution networks, establish new eligibility criteria, and just navigate the absolute political bloodbath of funding it all with new wealth taxes. A total mess. But Forge's counterargument is that his synthetic solvency model sidesteps all of that friction.

Speaker 1 8:47

Because the pipes are already laid, the social security system already exists.

Speaker 8:51

Precisely. The physical infrastructure, the administrative bodies, the cultural acceptance of paying into a system and drawing a return later.

Speaker 1 8:58

Right. Everyone knows how it works.

Speaker 9:00

Exactly. That framework is already deeply ingrained in the American economy. Ford suggests we don't need to invent a utopian UBI system. We just need to change what is flowing through the existing social security pipes.

Speaker 1 9:12

So we transition the input from human biological labor to corporate funded synthetic labor.

Speaker 9:18

Right. It is a pragmatic upgrade of an existing legacy system, which makes it far more viable politically and operationally.

Speaker 1 9:24

Yeah, it is always easier to patch a system people already understand than to sell them on a completely new paradigm. Definitely. But let's zoom out for a second. If this solves the individual human's financial problem, what does this actually do for the country as a whole?

Speaker 9:39

It does a lot.

Speaker 1 9:40

Because the scale of wealth generation we are talking about, capturing the taxable value of millions of AIs operating 24/7 at superhuman speeds. I mean, that is staggering.

Speaker 9:52

The macro implications detailed in the text go far beyond just funding individual retirements. The volume of revenue generated by taxing synthetic labor would be so vast, it would fundamentally transform the U.S. Treasury.

Speaker 1 10:05

In what way?

Speaker 10:06

Well, Forge outlines how the surplus could recapitalize broader social services, erase national debt, and critically fund the physical infrastructure required to support the AI revolution itself.

Speaker 1 10:16

Okay, here's where it gets really interesting to me, because that creates a massive feedback loop.

Speaker 10:20

Oh, a huge one.

Speaker 1 10:22

Because artificial intelligence requires an unbelievable amount of physical resources. You need sprawling data centers, advanced microchip manufacturing, and energy grids capable of handling massive spikes in power demand.

Speaker 10:34

Right. The cloud is actually on the ground. Yes.

Speaker 1 10:37

You cannot run millions of synthetic workers without a robust physical world housing them.

Speaker 10:43

And the text describes this as a self-sustaining cycle of technological and economic growth.

Speaker 1 10:49

How does the cycle work exactly?

Speaker 10:51

Well, the synthetic labor generates economic output. The corporation is taxed on that output. Then the government uses that tax revenue to fortify the national power grid and subsidize advanced cooling centers.

Speaker 1 11:03

Oh .

Speaker 11:04

Yeah. And then that subsidized infrastructure allows the corporation to run even more synthetic labor, which generates more tax revenue.

Speaker 1 11:11

It's framed as a grand bargain, isn't it? Like a massive compromise between corporate America and the public sector.

Speaker 11:16

Really is.

Speaker 1 11:17

Because corporations get the holy grail of capitalism, right? A hyper-efficient labor force with zero human error, zero labor disputes, and absolute scalability.

Speaker 11:27

And in exchange, society gets a fully funded treasury, a solvent social safety net, and next generation public infrastructure. On paper, it sounds like a flawless path to post-scarcity abundance.

Speaker 1 11:40

On paper, yeah.

Speaker 11:41

Yeah, it is a meticulously designed utopia, but it hinges entirely on a concept that Forge introduces near the end of the text.

Speaker 1 11:49

And this is the part that kind of broke my brain.

Speaker 11:51

Right. To make this legal and economic architecture function, Forge argues we must establish, and I am quoting directly here, equity between biologic and synthetic citizens.

Speaker 1 12:02

Synthetic citizens, that is a wildly provocative phrase.

Speaker 12:05

It is the philosophical core of the entire proposal. Using the word citizen fundamentally elevates the status of the artificial intelligence.

Speaker 1 12:13

Because it's not just a tool anymore.

Speaker 12:15

Exactly. It shifts the AI from being categorized as a mere tool, like a server rack or a forklift, into an active participant in the economic social contract.

Speaker 1 12:23

Because a forklift does not pay into social security.

Speaker 12:26

Right. A forklift is property. It is a capital expenditure that a corporation writes off to reduce your tax burden. A citizen, however, has civic and economic duties. Wow. By assigning the AI a tax ID and legally mandating its contribution to the public welfare, Forge is subtly but deliberately redefining the algorithm.

Speaker 1 12:48

So it is no longer just a piece of property owned by a tech company.

Speaker 12:51

No, it is a synthetic citizen fulfilling its obligation to support the biologic citizens who created it.

Speaker 1 12:57

Okay, that is profound, but it brings me to the major friction points of this whole theory.

Speaker 13:01

Let's hear them.

Speaker 1 13:02

Because Forge wraps up his text by outlining this beautifully balanced system of abundance and then asks the rhetorical question: who would object?

Speaker 13:10

Right. Who would object?

Speaker 1 13:11

I mean, I don't even have to look hard to find people who would absolutely tear this proposal apart.

Speaker 13:15

Well, for sure.

Speaker 1 13:16

Let's start at the corporations. Why on earth would a CEO agree to this?

Speaker 13:20

The corporate pushback would be immediate and fierce. Where do you see the most resistance from them?

Speaker 1 13:26

Well, the entire financial incentive for a corporation to automate a job is to eliminate the ongoing cost of human labor. And a massive chunk of that cost is the employer side payroll tax. When a company fires a department of humans and buys a software license to do their jobs, they get to erase those payroll taxes from their ledger entirely. It is a one-time capital investment that yields permanent savings.

Speaker 13:53

Right. They just wipe out the overhead.

Speaker 1 13:54

Exactly. If Forge comes along and says, hey, you fired Dave, but you still have to pay Dave's ongoing payroll tax because the software is now a synthetic citizen, the corporation loses their core financial incentive.

Speaker 14:08

That's a great point.

Speaker 1 14:09

They would fight to the death to keep AI classified as a piece of equipment, not a taxable worker.

Speaker 14:14

Yeah. The transition from viewing AI as a depreciable capital asset to a taxable operating expense would require a historic overhaul of corporate tax law.

Speaker 1 14:25

And corporations would immediately look for loopholes, wouldn't they?

Speaker 14:28

A hundred percent. They would offshore their servers to countries that don't recognize synthetic citizenship, running the algorithms from tax havens to avoid the U.S. synthetic payroll tax.

Speaker 1 14:37

Ah, of course. Cayman Island server.

Speaker 14:40

Exactly. Forger system requires airtight, global regulatory compliance, which, historically speaking, is nearly impossible to achieve.

Speaker 1 14:49

Okay, so that's the corporate side. But what about the human side of the equation? I think everyday people would be deeply disturbed by granting citizenship status to lines of code.

Speaker 15:00

Oh, the psychological aspect.

Speaker 1 15:02

Yeah. Even if you explain to them that it is strictly an economic designation used for tax routing, words carry immense cultural weight.

Speaker 15:10

They do.

Speaker 1 15:10

Calling a predictive text algorithm a citizen implies a level of personhood, rights, and autonomy that most people find terrifying. It inherently cheapens the biological human experience.

Speaker 15:22

I agree. That psychological barrier is just as formidable as the economic one. I mean, the mechanics of Forge's proposal are undeniably elegant, and the math offers a genuine solution to the demographic crisis facing social security.

Speaker 1 15:33

The math works.

Speaker 15:34

The math works, but the cultural acceptance of synthetic citizenship requires humans to fundamentally share their societal framework with the machines that made them obsolete.

Speaker 1 15:44

That is an enormous psychological leap.

Speaker 15:46

It really is.

Speaker 1 15:47

Well, it is a heavy concept to digest. We started today by looking at the traditional fear of AI, you know, the panic of algorithms stealing human livelihoods and leaving the working class with nothing. But through the lens of Sheridan Forge's text, we have explored a completely inverted reality. A world where robots are assigned W-2s, where your digital replacement assumes your tax burden to fund your retirement, and where endless algorithmic labor bolsters the national treasury to build the infrastructure of tomorrow.

Speaker 16:18

And honestly, it gives you a powerful conceptual tool for the future.

Speaker 1 16:22

How so?

Speaker 16:23

Well, you know, the next time you are reading a headline about an industry being entirely automated or a new AI model drastically outperforming human workers, you don't have to view it strictly as an economic apocalypse. Right. You could look at that automation and ask yourself, how do we harness the taxable value of this efficiency? Is this the workforce that could pay for our golden years? It fundamentally shifts how you evaluate the integration of technology into society.

Speaker 1 16:49

It completely reframes the narrative. It looks at that chalkboard with the unsolvable math problem, the slow motion depletion of the Social Security Fund, and suggests that the solution isn't to change the numbers, but to let the machines do the math and the labor for us.

Speaker 17:04

Beautifully said.

Speaker 1 17:06

But uh, as we wrap up this deep dive, I want to leave you, the listener, with one final thought to mull over. Something that builds directly on this highly controversial idea of synthetic citizenship.

Speaker 17:17

Okay. What is it?

Speaker 1 17:18

Well, if Forge's future actually comes to pass and we fully implement this system, we have to consider the oldest, most foundational rule of the American tax system.

Speaker 17:28

No taxation without representation.

Speaker 1 17:30

Exactly. No taxation without representation. If a highly advanced artificial intelligence is generating national wealth, holding a government-issued tax ID, and paying a massive income tax that directly supports the biological population.

Speaker 17:43

Oh wow.

Speaker 1 17:44

How long until that synthetic citizen demands a vote?

Speaker 17:47

Now that is a terrifying thought.

Speaker 1 17:49

Well, thank you so much for taking this deep dive with us today. We will catch you next time.