Do your own research. Not legal or financial advice. Read our disclaimers and terms.

01

What is AGI?

The spectrum from today's AI to what's coming next, and where the line gets crossed.

Narrow AI We are here

AI that does one thing very well: image recognition, language generation, game playing. Every AI product you use today is narrow AI. Incredibly capable within its domain, completely helpless outside it.

ChatGPT / Claude / GeminiDALL-E / MidjourneyAlphaFoldTesla Autopilot
AGI Coming soon

Artificial General Intelligence, meaning AI that can learn, reason, and perform at human level across any intellectual task. No domain restrictions. It can read a biology paper, write code, design an experiment, and critique the results, all without task-specific training.

Autonomous research agentsSelf-improving systemsFull economic automationScientific discovery at scale
ASI Beyond AGI

Artificial Superintelligence, meaning AI that exceeds the combined cognitive capacity of all humans. Once AGI exists and can improve itself, the path to ASI may be very short. This is the event horizon where most predictions break down.

Self-directed improvementProblems no human could solveCivilizational restructuring

The critical difference

Current AI systems, no matter how impressive, are fundamentally narrow. They do what they were trained for. AGI is qualitatively different: a system that can learn anything, reason across domains, and apply judgment the way a skilled human expert would, but without the physical, cognitive, or temporal limits that constrain humans. That difference is not incremental. It's civilizational.

What the builders are saying

The ranges below are our plain-language paraphrase of positions these researchers and executives have expressed publicly, not direct quotes, and not their exact words. People building AI systems tend to give shorter timelines than outside commentators. Timelines vary widely, and any individual's view may have shifted since.

Sam Altman (OpenAI CEO)
2025–2027
AGI within this decade, possibly years
Demis Hassabis (Google DeepMind)
5–10 years
High confidence AGI before 2030
Yoshua Bengio
2033–2060
More cautious: many unsolved problems
Dario Amodei (Anthropic CEO)
2026–2028
"Powerful AI" equivalent to AGI very soon
Geoffrey Hinton
5–20 years
Faster than expected; recently more alarmed
Yann LeCun (Meta AI)
20–50 years
Skeptical current approaches reach AGI at all
View the full timeline & reasoning

Paraphrased from public statements, not direct quotes. Read our disclaimers and terms.

02

What AGI could do for humanity

The potential upside is genuinely staggering. Understanding it matters, because the disruption to get there is real too.

Medicine

Compress centuries of medical research into years

AGI could model every protein interaction, simulate every drug combination, and personalize treatment protocols for every patient simultaneously. Cancer, Alzheimer's, and aging itself, problems too complex for human researchers to hold in their heads, all become tractable.

🔬
Science

Run experiments 24/7 at machine speed

Science is bottlenecked by human cognitive bandwidth and the linear pace of experiment cycles. AGI eliminates that bottleneck. Climate models, fusion energy, materials science: the 100-year roadmaps compress to a decade.

Economics

Produce abundance for the cost of energy

When intelligence is no longer scarce, the economics of production transform. Software, analysis, design, strategy, and coordination approach zero marginal cost. The question becomes: who owns the systems, and who benefits?

🧠
Education

Every person gets a world-class tutor, always

An AGI tutor that knows your learning style, your gaps, your pace, and has unlimited patience and expertise in every subject, is more than a tool. It's access to the quality of education currently reserved for the global elite.

🤖
Labor

Automation scales from routine to cognitive

Narrow AI already automates routine tasks. AGI extends automation to complex cognitive work: legal analysis, financial planning, engineering design, medical diagnosis. No profession is fully immune. The transition will be faster than any previous labor shift.

🌍
Climate

Solve problems humans can't coordinate around

Climate change is a coordination and complexity problem at a scale humans struggle with. AGI could model planetary systems, optimize grids, design carbon capture at scale, and coordinate logistics across nations, without the friction of human politics.

The distribution problem

AGI's potential benefits are real, but they aren't automatic or evenly distributed. Every previous wave of transformative technology created enormous value while also concentrating power and displacing workers who couldn't adapt fast enough. The transition matters as much as the destination. That's the argument for engaging now rather than waiting to see what happens.

03

Why you need to lock in now

The preparation window is open. It won't stay open.

2–7 Rough span of years some AI-lab leaders have publicly floated for AGI
$100B+ Scale of AI-infrastructure commitments announced by major players, per public reports
Now The time to build structural resilience, not after the inflection

Illustrative figures only. Do your own research. Read our disclaimers and terms.

Economic disruptions don't give advance warning. The internet didn't announce which industries it would hollow out. Smartphones didn't send a memo before destroying Blockbuster, Kodak, and the entire newspaper ad model.

AGI will move faster than those transitions, because it's a general-purpose cognitive technology. It improves everything it touches simultaneously, not sector by sector.

The people positioned to benefit from that transition are the ones building resilience before it's obvious that they need to. That's not pessimism. It's the same logic that drives buying insurance, building savings, and learning marketable skills.

01

Understand what's actually coming

Not the hype, not the doom. The realistic middle. Read primary sources. Follow the researchers building these systems, not just the commentators. The people closest to the work are the most informative and often the most alarmed.

02

Build leverage that survives automation

Skills that rely on human judgment, physical presence, relationship trust, and creative direction are more durable than pure information processing. The question isn't "will my job exist?" It's "what value do I provide that a system can't?"

03

Reduce dependency on fragile systems

If the economic disruption from AGI is fast and uneven, and it may well be, the people who fare best will be those with the lowest structural exposure. Lower fixed costs, diversified income, owned assets, and local resilience matter more than they did a decade ago.

See the Blueprint →
04

Engage now, not when it's obvious

The window for preparation is before the inflection point, not after. By the time AGI's impacts are obvious to everyone, the best positions will already be taken. Engagement while it's still early is the differentiator.

Read the Book →
04

Run your own scenario

Adjust the chips to see how assumptions shift the illustrative arithmetic of building toward independence. Rough estimates only, real costs will differ, often by a lot.

Monthly income (after tax)
Savings rate
Region (affects land)
Shouse size (affects build)
Illustrative all-in (rough estimate) $103,000 Real costs could be 2–5× higher or lower
Saving per month $750
Rough time to total 11.5 years
🌾 Land
$9,000
🏗️ Shop/House
$60,000
☀️ Solar + Battery
$12,000
💧 Water
$6,000
🤖 FarmBot
$4,500
💻 Local AI Rig
$3,500
🔧 Permits + Tools
$8,000
What these numbers can't tell you
🌾

Land

Varies wildly by region and parcel. Rural farmland median ~$3.6K/acre nationally (USDA 2023), but ranges from hundreds to hundreds of thousands per acre by location.

🏗️

Shop/House

Steel kit + rough finish. Excludes permits, foundation, HVAC, electrical, plumbing, finished interiors, all of which add cost that varies by county and contractor.

☀️

Solar + Battery

Rough 6kW + storage estimate. Real cost depends on system size, incentives, installer, site. Federal ITC may apply; consult a tax professional.

💧

Water

Well drilling varies enormously by depth and geology, roughly $15–$50+/foot. Rainwater collection may be an option depending on local law.

🤖

FarmBot

FarmBot Genesis retail estimate. One unit covers a small raised bed, not a farm. Real food production needs more land, labor, and a longer learning curve.

💻

Local AI Rig

GPU workstation for 70B+ local models. Hardware capability shifts rapidly; check current benchmarks before buying.

🔧

Permits + Tools

Permits, basic tools, contingency. Permit costs alone range from hundreds to tens of thousands by jurisdiction. Always budget a buffer.

Not included: finished interior, HVAC/electrical/plumbing rough-in, septic ($5K–$30K+), driveway and site prep, property taxes, insurance, living expenses during build, the learning-curve cost, and whatever goes wrong (something will).

All numbers illustrative. Do your own research. Read our disclaimers and terms.

05

Technology watch list

Products and platforms worth tracking. Status and prices as of mid-2025; this space moves fast. Mentions are references, not endorsements. Verify everything independently.

Start here

Ready to act on this?

The Blueprint lays out a concrete strategy for material independence before the transition. The book gives you the full mental model. Both are available now, no paywall.

Do your own research. Not legal or financial advice. Read our disclaimers and terms.