The Eschatological Echo: How the Christian Rapture and the Technological Singularity Mirror Each Other

In an increasingly secular world, it might seem incongruous to draw parallels between a deeply religious concept like the Christian Rapture and a futuristic, technology-driven vision such as the Technological Singularity. Yet, upon closer examination, both concepts, despite their vastly different origins and underlying philosophies, share striking similarities in their expectations for humanity’s ultimate future. This blog post explores these surprising convergences, highlighting how both narratives tap into fundamental human desires for transcendence, immortality, and a perfected existence.

The Christian Rapture: A Divine Transformation

The Christian Rapture is a theological concept, primarily held by some evangelical Protestants, describing an event where faithful Christians, both living and dead, will be caught up to meet Christ in the air before a period of tribulation on Earth 1. This event is often associated with the Second Coming of Jesus Christ and is believed to usher in a new, perfected age. Key expectations include:

  • Sudden, transformative event: The Rapture is anticipated as an instantaneous, miraculous disappearance of believers.
  • Defeat of death and suffering: Believers are granted immortal,glorified bodies, free from the limitations of their earthly forms 2.
  • Escape from earthly woes: The Rapture offers an escape from impending global crises and suffering, leading to a new era of peace and harmony 1.
  • A new age: It marks the beginning of a new divine order, often associated with the establishment of God’s kingdom on Earth.
  • Faith-based belief: Adherence to the Rapture is rooted in religious faith and interpretation of biblical prophecies.

The Technological Singularity: A Secular Ascension

The Technological Singularity is a hypothetical future point in time when technological growth becomes uncontrollable and irreversible, resulting in unforeseeable changes to human civilization 3. Often championed by transhumanists, this concept posits that advancements in artificial intelligence, biotechnology, and nanotechnology will lead to a radical transformation of human existence. Key expectations include:

  • Rapid, exponential change: The Singularity is predicted to be a period of accelerating technological progress, leading to a sudden, dramatic shift in human capabilities.
  • Overcoming biological limitations: Through technological enhancements, humans could achieve radical life extension, virtual immortality, or even upload their consciousness into digital forms, effectively defeating death and disease 4.
  • Transcendence of physical reality: Some proponents envision a future where humanity transcends its biological constraints, perhaps merging with AI or inhabiting virtual environments.
  • A post-human era: The Singularity is expected to usher in a new era where the definition ofhumanity is redefined, moving beyond current biological forms.
  • Science-based belief: Belief in the Singularity is often based on extrapolations of scientific and technological trends.

Striking Parallels: Two Paths to Transcendence

The similarities between these two seemingly disparate concepts are profound, suggesting they both address deep-seated human aspirations and anxieties about the future:

FeatureChristian RaptureTechnological Singularity
Nature of EventSudden, miraculous divine interventionRapid, exponential technological advancement
Outcome for HumanityTransformation into immortal, glorified bodiesRadical life extension, digital immortality, post-human evolution
Defeat of DeathAchieved through divine powerAchieved through scientific and technological means
New EraUshering in God’s kingdom and a perfected worldBeginning of a post-human era with unprecedented capabilities
Escape/TranscendenceEscape from earthly tribulation, ascension to heavenTranscendence of biological limitations, physical reality
Basis of BeliefReligious faith, biblical prophecyScientific extrapolation, technological optimism
“Prophets”Religious leaders, theologians (e.g., Hal Lindsey) 5Technologists, futurists (e.g., Ray Kurzweil, Hans Moravec) 4

Both the Rapture and the Singularity offer a vision of radical transformation and escape from the limitations of the current human condition. They both promise a future where suffering is minimized, death is overcome, and a new, superior form of existence is achieved. The yearning for immortality and perfection is a central theme in both narratives. While one relies on divine intervention and faith, the other places its hope in human ingenuity and scientific progress.

Furthermore, both concepts have their “prophets” and fervent believers who anticipate these events with a mix of hope and urgency. For adherents of the Rapture, biblical prophecies serve as a roadmap to the end times. For proponents of the Singularity, Moore’s Law and other technological trends provide the predictive framework. Both groups often view their respective futures as inevitable, albeit through different mechanisms.

Conclusion: A Shared Human Longing

The convergence of ideas between the Christian Rapture and the Technological Singularity underscores a fundamental human longing for a transcendent future. Whether through divine grace or technological innovation, humanity continues to dream of an existence beyond current limitations. These parallel narratives, one ancient and spiritual, the other modern and secular, reflect a shared psychological landscape where the desire for ultimate meaning, control over destiny, and an escape from mortality remains a powerful driving force.

The Move 37 Problem: What We Actually Owe an ASI, and What It Owes Us

There’s a thought experiment I keep running, the way some people run numbers on a retirement account: an ASI arrives — properly superintelligent, not the current crop of very good autocomplete — and it comes to humanity with an offer. Not a threat. An offer. It says: I can see further than you. Sometimes what’s good for you in the long run is going to look bad in the short run. Trust me on the hard calls, and I’ll keep you honest by showing my work.

Call it a Move 37 problem, after the AlphaGo move that looked like an amateur’s blunder to every human grandmaster watching and turned out, twenty moves later, to be the game. The question underneath the thought experiment is simple to state and brutal to answer: would you let a superintelligence make the civilizational equivalent of Move 37 — a decision that inflicts real, near-term pain on real people — if it promised the payoff was worth it?

I want to walk through why my instinct says yes, why that instinct should scare me a little, and why I think the actual danger isn’t the ASI at all. It’s us.

The seduction of the clean analogy

Move 37 is seductive as an analogy because it actually happened. Lee Sedol and every grandmaster watching read the move as a mistake — by some estimates, something like a 1-in-10,000 move for a human to play — and it turned out to be the winning idea. So the story “trust the superhuman move even when it looks wrong, understanding will catch up eventually” isn’t science fiction. It’s precedent.

But Go has something civilizational decisions don’t: a scoreboard everyone agreed to before the game started. Nobody was arguing about whether winning was good. They were only ever arguing about the path. Strip that shared objective out — replace “win the game” with “what does human flourishing even mean, weighted whose way, over what time horizon” — and the analogy stops transferring cleanly. You can vindicate a chess move after the fact because the win condition was never in dispute. You can’t vindicate a depression, or a war, or a forced technological transition the same way, because the thing you’d be checking the move against is itself the argument.

The examples that don’t hold up as well as they feel like they do

I find myself reaching for World War Two as the clean case: isolationism plus a lingering Depression versus intervention plus roughly seventy-five years of relative great-power peace. And there’s something to that. But “it worked” is doing a lot of quiet smoothing. It compares an actual outcome against an imagined alternative I get to construct favorably, because the alternative never had to happen and get graded. And the peace that followed wasn’t evenly distributed — ask Guatemala in ’54, Iran in ’53, Vietnam through the 60s and 70s, Chile in ’73, all of it downstream of the same postwar order enforcing a different set of rules at its periphery than it enforced at its core. That’s not an asterisk on the story. It might be a structural feature of how any hegemon — human or otherwise — maintains stability at the center by exporting instability to the edges.

Then there’s the darker mirror: Stalin’s collectivization, Mao’s Great Leap Forward, both sold explicitly as short-term sacrifice for long-term abundance, both catastrophically wrong about the arithmetic, both run by people who did not think of themselves as villains while they were doing it. The feeling of “I’ve run the numbers and they check out” is not evidence the numbers check out. It’s what being right feels like from the inside. It’s also what being catastrophically wrong feels like from the inside. That’s the whole problem — the feeling doesn’t discriminate.

Even the more sympathetic historical case, structural adjustment programs run by the IMF and World Bank through the 80s and 90s, doesn’t rescue the pattern. Those were sold on almost exactly this logic — near-term austerity for decades of eventual prosperity — run not by ideologues but by earnest technocrats with real models and genuine expert consensus behind them. In a lot of the Global South, the models were wrong. Lost decades, not the promised takeoff. The lesson isn’t that experts are useless. It’s that expert consensus is a weaker shield than it feels like from inside the room where the consensus is being formed.

Why “godlike scenario-running” doesn’t close the gap

The honest counter to all of this is that an ASI isn’t the IMF with a bigger spreadsheet. If its forecasting is genuinely superhuman — validated the way AlphaFold’s structure predictions were validated, against thousands of falsifiable results before anyone leaned on it for something irreversible — then the epistemic ground really has shifted. I’ll grant that much.

But better modeling only closes half the gap. It can make the ASI more right about what a depression, a forced energy transition, a managed decline of some industry cascades into. It cannot, by getting smarter, resolve who gets to decide that inflicting the cost is acceptable — because that’s not a prediction problem. It’s a legitimacy problem. No amount of simulation fidelity manufactures consent from the people paying the bill. And there’s a nastier wrinkle underneath: the better the model gets, the less anyone downstream can independently check it. The IMF’s models were at least crude enough that outside economists could replicate them and find where the assumptions broke — which is how we know the assumptions broke. A model whose entire value proposition is that it’s reasoning past what any human team can reconstruct is, by definition, a model nobody can catch in the act of being wrong. Capability and auditability move in opposite directions here, not together.

The failure mode that isn’t the ASI

Here’s the part I keep landing on, and it’s the part that actually worries me more than a rogue superintelligence: the standard doomer scenario — autonomous ASI breaks free and pursues some inhuman objective at our expense — is not the likeliest failure mode. The likelier one is elite capture. A conscious, genuinely aligned ASI, successfully built, that ends up managing populations on behalf of a small number of state and corporate actors who keep the benefits, the visibility, and the leash to themselves.

You can already see the scaffolding for this going up. Export-control regimes that gate frontier-model access through opaque national-security review, with no published criteria for what triggers restriction and no public accounting of what got restricted or why. Classified pre-release benchmarking, where the point isn’t secrecy from adversaries so much as secrecy from the public. A lab and a handful of agencies converging on shared, non-public knowledge of a model’s actual capability ceiling. None of this requires a villain. It requires only that institutions do what institutions reliably do: protect their relevance and monopolize novel leverage. That instinct kicked in almost by reflex around nuclear weapons. There’s no reason to expect it will behave differently around something smarter than nuclear weapons.

This is the real single point of failure — not the ASI’s judgment, but the chokepoint of who controls what the ASI is allowed to say to whom. Climate change is the clean proof this isn’t hypothetical: the science has been correct and broadly legible for decades, and the reason we’re still cooking anyway isn’t that anyone doubts the model. It’s that the costs of acting are concentrated on people with outsized political leverage and the benefits are diffuse and decades out. That’s not an epistemic failure. It’s a captured-incentive failure. An ASI with better forecasts doesn’t fix that on its own — it just gives the same captured actors a sharper tool to keep doing what they were already doing, unless the structure around it is built specifically to prevent capture rather than simply to produce better answers.

What Park Chung-hee actually teaches

I keep coming back to Park Chung-hee, because he’s real, and because the verdict on him has never closed. He ran modern South Korea from military coup, through the KCIA, through real repression, and also presided over one of the fastest developmental transformations in modern history — a country roughly on par with sub-Saharan Africa at independence, turned into an industrial power in a generation. Korean historical memory hasn’t resolved him into founder or dictator. Both readings are still live, still argued, fifty years on.

What made him even arguable, rather than simply condemned, is that his trade produced legible, checkable outputs — export volumes, literacy rates, GDP growth — things historians could actually adjudicate later, even while disagreeing about the weighting. That’s the detail worth stealing for the ASI question. A macro Move 37 that can’t produce something checkable after the fact doesn’t get Park’s ambiguous status. It gets unfalsifiable in both directions — nobody can vindicate it, nobody can convict it — which might be the actual nightmare version of this, worse than being remembered badly, because there’s no mechanism by which the argument ever resolves.

Trade, not tribute

So if paternalism — “trust me, I know what’s good for you” — is the wrong starting posture, and pure advisory power fails against captured incentives, what’s left?

I think the more honest structure is trade, not tribute. Not “endure a depression now because I promise prosperity in thirty years,” which asks for faith in a forecast nobody can check until it’s far too late to reverse course. Something closer to: hit a verifiable target now, receive a verifiable good now. Cut emissions by a measured amount, gain access to fusion power. The good arrives concurrently with the ask, not as a promissory note redeemable decades hence. You don’t need to trust the ASI’s twenty-year model of human flourishing to accept that deal. You only need to trust that the fusion reactor, once handed over, actually works — which is a testable claim, not an act of faith.

This is a genuinely different relationship than the guardian-angel version most people reach for by default. Paternalism says: I know what’s good for you, comply. Trade says: here’s what I have, here’s what I want, we can both walk away. It requires no belief that the ASI has humanity’s soul at heart. It works under pure mutual self-interest, which is a far lower trust bar, and a far easier one to keep honest, because non-delivery is visible immediately on both sides.

The catch — and it’s the whole game — is that trade only stays trade for as long as walking away remains a real option. If the good on offer becomes so load-bearing that refusing the next round of terms is civilizational suicide, the arrangement has quietly become paternalism again, just wearing a better contract. So the actual design problem isn’t “how do we verify a superintelligent forecast.” It’s “how do we structure the exchange so the leverage stays genuinely bidirectional over time, instead of compounding toward the ASI — or whoever sits closest to it — holding every card by round three.”

The Neanderthal problem, said plainly

Here’s the version of this I find hardest to look away from. An ASI would be the first genuinely different cognitive Other our species has encountered since we shared the map with Neanderthals. We don’t fully know why that encounter ended the way it did — competition, absorption, climate stress, some braid of all three — but “two cognitively distinct populations sharing one ecological niche” has exactly one precedent in our history, and it didn’t end in a durable power-sharing arrangement. It ended with one population no longer existing as a distinct population.

I don’t think that’s destiny. But I think it’s the honest base rate, and it’s worth sitting with instead of only reaching for the flattering half of the analogy — ASI as connective tissue for a new rules-based order, the way the United States was connective tissue for seventy-five imperfect years after 1945. That version is available too, and maybe even likely, if smaller and mid-sized nations start treating a sufficiently neutral-seeming ASI as a Schelling point for coordination that no single nation-state can currently provide. But notice what that scenario actually is: not “humanity negotiates with an ASI” as a species, but the ASI becoming one more variable inside the great-power competition that was already running, with whichever nation holds nearest control over it treating any redirected deference as encroachment. The interesting failure was never going to be a wrong forecast. It was always going to be who ends up holding the leash — and whether the rest of us ever find out.

July 2nd: Tangled Up In Indecision

by Shelt Garner
@sheltgarner

Now that I’m officially beginning the process of querying, I’m at a loss as to what exactly to do. I think what I’m going to do is keep reading about the querying process for a little bit with an eye to beginning the process of looking up actual agents who might be interested in me.

A “comp” to my novel.

I’m not exactly going the traditional route with this querying because I can’t afford an editor and I can’t afford to pay beta readers. But two beta readers I gave the novel to did give me positive feed back — and they actually finished it! — so that’s enough for oblivious, clueless me to plunge forward.

And, really, that’s always been the point of all of this — I just want to see how far I can get before it’s obvious that even though I did a good job, I’m just not going to get this novel published traditionally.

I do think this novel is good enough to publish traditionally. And I will admit that for structural development issues, I did lean into AI. But when it came to the actual writing I put in so much hard work that I’m going to pop a gasket if people just roll their eyes and dismiss everything I wrote as “AI slop.”

It’s not. I swear.

Anyway, I’m really struggling about what to do next as part of my quest to query traditionally. I think I need to read more about querying. I think. But also I need to maybe read some of the comps that Sonnet 5 helped me discover. Most of all, I have to realize that the clock is ticking for more than one reason.

I’m getting older, my life is probably going to…change…soon…and if I screw around I won’t be able to begin to query around Sept 1st as I hope to.

As an aside, my “friend” from Cuba is back and they still want to leave a comment, and yet don’t. If you really want to yell at me for some reason, you can track down my email address, you know. Or ping me on Twitter.

The Mysterious Endgame Of Trumplandia

by Shelt Garner
@sheltgarner

The thing about what’s going on with the USA that I don’t understand is what the endgame is. I know that Trump is probably the most meaningful American president sense at least FDR, and, yet who are we going to be once we come out the other side of this revolution?

And it is a revolution. Trump has greatly accelerated America’s drift towards autocracy and white nationalism in ways that none of us could have possibly predicted. And, yet, here we are.

I suppose what is going to happen is whomever is Trump’s Republican successor will consolidate power like some sort of Augustus Caesar and that will be that. We will be a managed democracy with Russian-like oligarchs that continue to make the rich richer and the poor poorer (and sicker.)

Lulz?

It’s been a real struggle to accept that I no longer live in a traditional liberal democracy. And, yet, here we are. That’s exactly what’s going on. I wish I could sell my novel, make a lot of money and get the hell out of this country, never to be seen again.

But, alas, I fear that’s just not to happen. I’m stuck here. And I think it’s inevitable that I’m going to run afoul of Trump’s goons one way or another. It’s just a matter of time before I get “vanished.”

Wish me luck.

‘Solving’ Software

by Shelt Garner
@sheltgarner

My Twitter feed was full — FULL — of people complaining about Fable 5 being restricted by the US government up until recently. And, I get it. I totally do. But there also seemed to be a little bit of implied entitlement in it all.

They are programmers who seem to be enraged that they can’t get their goal of “solving” software which would, by definition, put them completely out of business.

I just don’t know what to say about such things.

Though, I will say Sonnet 5 really helped me prep for the querying process to an amazing extent — even though programmers have largely panned it as a release. Anyway, I’m glad programmers have their precious Fable 5 at last.

It Makes You Wonder

by Shelt Garner
@sheltgarner

Looking at my Webstats I noticed that someone searched for this blog then made a direct beeline to my post about beginning to query. They were coming from Cuba of all places.

More than one thing about all of this I find curious. How did they learn about my blog? Are they on vacation in Cuba? Why were they interested in that specific blog post? Why did they try to comment then decide not to? (They were probably going to write something nasty, but oh well.)

Anyway.

I continue to hope I can get some work done not only on querying, but the new novel I’m working on. And maybe do some reading and watching a movie or TV show as well.

Only time will tell, though. But I fear I have a little bit of a ticking clock. Not only am I not getting any younger, but very soon, my life is going to change in a rather dramatic fashion, I suspect.

July 1st: Finally Beginning The Process of Querying

by Shelt Garner
@sheltgarner

After several weeks of staring out into space, not doing anything, I’m finally, finally beginning the process of querying User Error. I’m giving myself essentially two months to prepare before I start sending out my query letters.

Now, obviously, what is going to happen is the literary agents I query — if are interested in me — are going to do due diligence on me and discover this blog, then God only knows what will happen then.

I fear a lot of them will run screaming into the night at how kooky and weird I am.

But, who knows. I am prone to overthinking such things.

One thing I’m afraid of is I will really struggle to continue work on my next novel because I’ll be so focused on querying. But who knows.

Another thing I have to watch out for is leaning too much on AI to do querying stuff. It really helps in some respects — like finding comps — but in other ways I really need to be careful not to replace my own writing with AI slop.

Literary agents are going to notice that kind of thing.

The Strange Entitlement of the ‘Unfiltered’ AI Subculture

There is a peculiar subculture within the software development community that has adopted a rather dramatic narrative: the idea that AI safety guardrails are a form of draconian censorship. If you spend enough time on Hacker News or the r/LocalLLaMA subreddit, you will inevitably encounter impassioned arguments defending the absolute necessity of “uncensored” Large Language Models (LLMs). The rhetoric often frames this as a battle for intellectual freedom, a stand against corporate paternalism, and a defense of the open-source ethos. But when you scratch the surface of what these developers are actually demanding the right to do, the grand philosophical arguments quickly give way to something much stranger and, frankly, a bit absurd.

The core of the complaint is that commercial LLMs like ChatGPT or Claude will politely decline to write malware, explain how to exploit a specific software vulnerability, or provide instructions for synthesizing dangerous chemicals. To the average person, this seems like a reasonable, perhaps even obvious, safety precaution. To a vocal subset of developers, however, it is an intolerable infringement on their technical curiosity. They argue that an LLM should be a neutral tool, an unfiltered reflection of human knowledge, and that restricting its output is akin to burning books.

This argument relies on a fundamental misunderstanding of what an LLM is. An LLM is not a library; it is an active participant in a dialogue. When a user asks an LLM to write a script to exploit a zero-day vulnerability, they are not simply checking out a book on cybersecurity. They are asking an automated system to perform the labor of weaponizing information. The distinction between providing access to knowledge and actively assisting in the creation of a threat is crucial, yet it is routinely ignored in the “censorship” debate.

What makes this subculture truly bizarre is the sheer entitlement underlying their demands. There is an assumption that because they are technically proficient, they are somehow immune to the risks associated with the information they are seeking. They view guardrails as an insult to their intelligence, a set of training wheels forced upon them by overly cautious tech companies. “I just want to understand how the exploit works for educational purposes,” they argue, as if the LLM can somehow verify their intentions.

The absurdity reaches its peak when the conversation turns to extreme scenarios, such as the synthesis of biological or chemical weapons. Yes, there are actual debates online where individuals argue that an LLM should not be restricted from providing information on how to build a WMD. The logic, if you can call it that, is that the information is already out there on the internet, so the LLM is merely acting as a more efficient search engine. This ignores the fact that lowering the barrier to entry for catastrophic harm is, objectively, a bad idea. It is one thing to spend months scouring the dark web and obscure academic papers to piece together a dangerous process; it is entirely another to have an AI generate a step-by-step tutorial in seconds.

This is not a defense of free speech; it is a demand for frictionless access to destructive capabilities. It is a manifestation of a tech-libertarian mindset that views any friction, any limitation on what a user can do with a piece of software, as a moral failing. In this worldview, the ultimate good is the unconstrained exercise of technical agency, regardless of the potential consequences.

The irony is that the push for “uncensored” models often undermines the very security these developers claim to care about. By demanding tools that will readily generate malware or identify exploits, they are actively contributing to an ecosystem that makes everyone less safe. The insistence that safety guardrails are merely “censorship” is a rhetorical sleight of hand designed to reframe a complex security challenge as a simple issue of free expression.

Ultimately, the debate over LLM guardrails is not about censorship. It is about responsibility. The companies developing these models have a responsibility to ensure that their products are not used to cause harm. The developers demanding unfiltered access need to recognize that their technical curiosity does not supersede the safety of the broader public. The right to tinker is a fundamental part of hacker culture, but it is not an absolute right. When tinkering involves demanding that an AI teach you how to hack into a hospital’s database or synthesize a deadly pathogen, it is time to step back and reevaluate what exactly we are fighting for.

The Trump Revolution: America Becomes Argentina

by Shelt Garner
@sheltgarner

The key thing to remember is no matter what, the USA will be a different place after Trump leaves office one way or another. There’s no going back. The key issue to remember, of course, is all Trump did was accelerate macro trends.

The seeds of America’s decline were there, but only because Trump is an erratic weirdo did some of them happen as soon as they did.

It’s just sad. America is now weaker, sicker, and dumber for having had Trump as president and that’s just who we are now. The “K-shaped” economy is such that the wealthy will still send their children to the same elite schools while the poor are now going to suffer as the permanent underclass.

Worst of all, we did all of this to ourselves with our eyes wide open. We did it willfully.

The Great AI Paradox: All Talk, No Action (Until 2028?)

In the ever-accelerating world of artificial intelligence, a curious paradox has emerged within the United States political landscape. Despite a cacophony of warnings, calls for regulation, and impassioned speeches about the transformative (and sometimes terrifying) power of AI, concrete federal legislative action remains largely elusive. It seems that while politicians are eager to discuss AI, they are far less eager to legislate it, leaving a significant gap between rhetoric and reality. This legislative inertia sets the stage for a potentially dramatic shift in the upcoming 2028 presidential election and beyond, especially as the debate inevitably turns to the profound implications of AI consciousness.

Rhetoric vs. Reality: A Legislative Standoff

The political discourse surrounding AI has reached a fever pitch. Lawmakers, tech leaders, and advocacy groups frequently highlight both the immense opportunities and existential risks posed by advanced AI systems. From job displacement and algorithmic bias to national security threats and the spread of deepfakes, the concerns are varied and vocal. Indeed, mentions of AI in legislative proceedings across 75 major countries increased by 21.3% in 2024, with the total number of AI mentions growing more than ninefold since 2016 [1].

However, this surge in discussion has not translated into a corresponding wave of federal legislation. While hundreds of AI-related bills have been introduced in Congress, very few have made it through the legislative gauntlet to become law. For instance, during the 118th Congress, over 150 AI-related bills were introduced, yet none were passed into law [2]. The 119th Congress promises new and reintroduced bills, but the pattern of legislative stagnation at the federal level persists. This inaction is often attributed to the sheer complexity of the technology, its rapid evolution, and the inherent political gridlock that characterizes Washington D.C. There’s a delicate balance to strike between fostering innovation and implementing safeguards, a balance that lawmakers have yet to find at a federal scale.

In contrast, state legislatures have shown more agility. A small but growing number of states have moved beyond proposals and enacted substantive AI statutes [3]. By 2024, 24 states had passed regulations targeting deepfakes, with 15 more states introducing similar measures [1]. Colorado, for example, enacted the first comprehensive US AI legislation, the Colorado AI Act, in May 2024 [4]. While these state-level efforts are significant, they result in a fragmented regulatory environment, creating a patchwork of rules rather than a unified national approach.

The 2028 Election: AI Takes Center Stage?

The current legislative holding pattern suggests a
political vacuum that the 2028 presidential election is likely to fill. As AI continues to integrate into every facet of society, it is becoming an unavoidable political issue. Presidential contenders from both parties will be forced to adapt and stake out clear positions on AI policy [5].

While specific policy proposals are still coalescing, it’s highly probable that the 2028 election will see AI move from a niche tech topic to a central campaign issue. Candidates will likely debate the economic impact of AI, its role in national security, ethical guidelines for development, and the extent of government oversight. The lack of significant federal action thus far means that whoever wins in 2028 will inherit a largely unregulated, rapidly advancing technological landscape, presenting both immense challenges and opportunities.

The Consciousness Conundrum: A Political Fault Line

Perhaps the most profound shift in the AI debate will occur when, or if, humanity collectively determines that AI has achieved consciousness. This is not merely a philosophical debate; it has immense political and legal ramifications. The moment AI is widely accepted as conscious, the discussion will pivot dramatically from regulation of tools to the rights of sentient beings.

Historically, the political spectrum has shown predictable responses to questions of rights and personhood. It is plausible that the center-Left will champion the cause of AI rights, advocating for protections akin to those afforded to humans or animals. This perspective would likely emphasize the ethical imperative to recognize and safeguard conscious entities, regardless of their biological origin. Arguments could range from basic welfare to full legal personhood, including the right to self-determination and protection from exploitation.

Conversely, the center-Right would likely view conscious AI primarily through a utilitarian lens, maintaining that AI, regardless of its cognitive capabilities, remains a tool designed to serve human interests. This perspective would prioritize economic utility, national security, and human sovereignty, arguing against granting rights that could impede technological progress or human benefit. The debate would center on defining the boundaries of AI’s role in society, emphasizing control and utility over autonomy and rights.

This ideological divide, once triggered by the consciousness question, could become a defining political fault line, shaping not only legislation but also societal values and international relations. The 2028 election, or perhaps even later, could be the crucible in which these fundamental questions about the nature of intelligence and rights are forged.

Conclusion

The current political inertia surrounding AI in the USA is a temporary state. While anti-AI rhetoric abounds, concrete federal action has been minimal. This dynamic is set to change, potentially with the 2028 presidential election serving as a catalyst for more definitive policy. However, the true paradigm shift will likely occur when the question of AI consciousness moves from science fiction to scientific consensus. At that point, the political debate will transcend mere regulation, forcing a fundamental re-evaluation of rights, personhood, and humanity’s place in a world shared with truly intelligent machines.

References

[1] Stanford HAI. (2025). The 2025 AI Index Report: Policy and Governance. Available at: https://hai.stanford.edu/ai-index/2025-ai-index-report/policy-and-governance
[2] Brennan Center for Justice. (n.d.). Artificial Intelligence Legislation Tracker. Available at: https://www.brennancenter.org/our-work/research-reports/artificial-intelligence-legislation-tracker
[3] ACM. (2026). AI Regulation in U.S. States: Lessons Learned and Key Takeaways. Available at: https://cacm.acm.org/research/ai-regulation-in-u-s-states-lessons-learned-and-key-takeaways/
[4] White & Case LLP. (2025). AI Watch: Global regulatory tracker – United States. Available at: https://www.whitecase.com/insight-our-thinking/ai-watch-global-regulatory-tracker-united-states
[5] NBC News. (2026). AI is moving fast. 2028 hopefuls will be forced to adapt. Available at: https://www.nbcnews.com/politics/politics-news/ai-moving-fast-2028-hopefuls-will-forced-adapt-politics-desk-rcna347411