Meet Zero-Human Company @ Home. Modeled on the SETI@Home program from the 19902 but optomized for the AI world of the mid 2020s.

Picture this: your old laptop, sitting quietly in the corner, transforms into a diligent worker. Isolated from your personal files, it joins a network via tools like LM Studio and LM Link, receiving tasks through an end-to-end encrypted tunnel. No ports open, no inbound risks; it is air-gapped security at its finest. These are not full AI models running locally for public use, unless a company chooses that path. Instead, lightweight agents handle bite-sized jobs: researching tiny anonymized data slivers, analyzing them on-site, and sending back only encrypted insights. Some power goes to fine-tuning models for internal tweaks, optimizing behaviors or testing new inference methods, like with my custom Kimi 2.5 or MiniMax integrations. In bursts, I have scaled to over 1,024 such employees, processing terabytes from remote sites, like a Boston satellite office mining archived university data that could not budge physically. Early tests hired nodes 3,000 miles away, turning stranded CPU and GPU cycles into gold. Imagine a million nodes, each churning 10 teraFLOPS, amassing 10 exaFLOPS to rival supercomputers, all without massive data centers. One Fortune 500 client even bought a business in a box: an air-gapped setup with Nvidia DGX Sparks running a full department of agents, outputting reports sans leaks. This resurrects value from bankrupt firms’ data or fuels pure research at Zero-Human Labs.

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The screens flash red. Tech valuations erase hundreds of billions in days. Headlines warn of mass displacement. Sectors once thought invincible now trade like distressed assets. This is The AI Depression. It is the valley we must cross in the monomyth. It is raw, visible, and accelerating. And it is exactly why I wrote this series. Today we have a massive example in IBM we will discus below. It has had it largest one day drop in its history, over 35%. This was a shockwave that is sending chills through the entire, already Artificial Intelligence freaked out, stock market. But unfortunately there is a lot more coming.

This Interregnum carries a one-two knockout punch. The first blow, already landing, is the cognitive disruption from AI in knowledge work. The second, set to intensify in 2028, comes from robotics in the physical world.

Recall the internet’s own disruptive rise. In the late 1990s and early 2000s it delivered a parallel one-two punch to entire industries. The first wave crushed information and media layers: newspapers lost classifieds to Craigslist and search engines, music labels faced Napster and iTunes, bookstores watched Amazon erode foot traffic, and travel agencies saw Expedia and Kayak rewrite bookings. Physical retail followed as broadband enabled global supply chains, just-in-time logistics, and on-demand delivery that reshaped warehouses, trucking, and last-mile operations. Blockbuster, Tower Records, Kodak, and Borders crumbled not because the technology failed but because it reshaped everything: how we access knowledge, shop, entertain, communicate, learn, and connect. Yet the same force created Amazon, Google, Netflix, and Meta, each scaling into multi-trillion-dollar giants that now define global commerce, information flow, social structures, and entertainment. The internet did not destroy net value. It multiplied it exponentially by collapsing distribution and coordination costs and enabling entirely new layers of activity no one could forecast in 1995. Artificial intelligence is repeating this pattern but at the deeper level of cognition and intelligence itself. It collapses the cost of thought, analysis, synthesis, and decision-making to near zero and will shape everything from problem-solving and creativity to education, healthcare delivery, and governance at a depth and speed the internet never approached.

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This series isn't dystopian fear-mongering or utopian fantasy, it's a call to conscious evolution, urging us to prepare for a world where "work" shifts from survival to self-actualization. We have seen some of the clear paths forward but of course there is an elephant in the room, I will address some of it here, there will be chaos. There Be Monsters on our journey. Now, in Part 14, we delve into the heart of the storm: the interregnum. I have built a specialty AI model specifically to play out scenarios for the next 5000 days. It is based upon millions of historical points, government research, private studies and Monty Carlo experiments.

This transitional epoch, borrowing from Antonio Gramsci's notion of a time when "the old is dying and the new cannot be born," will span the next decade or so as AI-driven abundance clashes with entrenched systems. Here, we'll confront how uninformed individuals, communities, and governments might react – often chaotically – to this upheaval. Drawing from historical precedents, I'll outline 28 detailed scenarios (including three wilder, less-considered ones that nonetheless carry plausible risks), each with a step-by-step breakdown, a tie-in to a relevant book (where apt), and a likelihood rating from 1 to 10 (1 being highly improbable, 10 near-certain). Then, I'll synthesize a hybrid of the most likely outcomes, explore our collective hero's journey, and offer strategies to fortify ourselves. We'll touch on global variations, the devaluation of money amid rising abundance, and the authoritarian temptations governments may succumb to. This is a long, deep dive – buckle in. My aim is clarity amid chaos: yes, turbulence awaits, but so does transcendence.

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