- Published on
Why GenAI Is Built for People, Not Corporations
- Authors
- Name
- Mikhail Liublin
- https://x.com/mlcka3i
Why GenAI Is Built for People, Not Corporations
For over a century, new technology followed a pattern: the first to benefit were those with scale—governments, militaries, and multinational corporations. GenAI broke that pattern.
This time, it's the individual who captures the upside first.
This time, it's you who gets the jet pack.
GenAI flips the value curve
Before GenAI:
Innovation | Early Winners |
---|---|
Electricity | Utilities & factories |
Internet | ISPs & Big Tech |
Smartphones | Carriers, phone makers |
Cloud computing | SaaS giants |
With GenAI:
Tool | Early Winners |
---|---|
GPT / Claude / Mistral | Indie devs, freelancers, small teams |
Open-source SLMs | Hackers, hobbyists |
Agent frameworks | 2-person startups |
The marginal cost of building something powerful has collapsed—from millions in infra and hiring to just a weekend and an API key.
Individuals get 10× productivity. Corporations get red tape.
Here's the core asymmetry:
A solo builder gets superpowers. A large corporation gets... a procurement process.
Let's compare:
Task | Solo Builder | Corporation |
---|---|---|
Launching a GenAI tool | Weekend hack + Substack post | 6-month roadmap + GRC review |
Adding a chatbot | Paste OpenAI API key | Buy 3rd-party SaaS, security audit |
Automating support | GPT-4 + Airtable + Zapier | RFP, procurement, vendor onboarding |
Training staff | Use ChatGPT instantly | Negotiate LMS integration |
McKinsey's own research confirms it: only 1% of enterprises consider themselves "AI mature"—and the bottleneck isn't employees. It's leadership. Bureaucracy. Brand risk.
In contrast, small teams just build and ship.
The AI stack is now "indie-native"
The old stack:
- SAP
- Salesforce
- Oracle
- Manual workflows
- Custom dashboards
The GenAI-native stack:
- GPT or Mixtral + LangChain or OpenDevin
- Pinecone or Chroma
- Vercel or Railway for infra
- Notion + Airtable + Make for glue logic
- Copilot, Claude, or Replit Ghostwriter for code
This stack isn't just cheaper—it's smarter, more composable, and deploys without teams of consultants.
One-person departments are real now
Here's what a solo builder can replace with GenAI tools:
Department | Replaced by |
---|---|
Customer support | GPT-4 + custom RAG bot |
Marketing | ChatGPT + Midjourney + Meta ads |
Legal | Claude or GPT + Legalese decoder |
QA | GitHub Copilot + automated testing |
Sales | Email agents + voice AI for cold calls |
HR | Chatbots for onboarding, payroll workflows |
Result: A one-person startup can do what a 20-person team did just 3 years ago.
Real-world proof: Tiny teams, massive outcomes
- Midjourney: ~$200M revenue, ~100 employees
- Perplexity: 38 employees, 500M+ users, ~$1B valuation
- Lamini, Cognosys, Hexagram: AI-native startups built with <10 people and landing major funding
The investor class is already adapting. Sam Altman predicts one-person unicorns. Andrej Karpathy openly muses about solo dev IPOs. Carta data shows more than a third of new funded startups now have a single founder.
This isn't theory—it's happening.
But why don't corporations benefit more?
They do benefit—but the upside curve is flattened by scale.
Let's break it down:
Company Size | Productivity Gain from GenAI |
---|---|
Solo / 2-person | 5× to 20× |
10–50 people | 2× to 5× |
500+ employees | 1.1× to 1.3× (if adopted well) |
Why the drop-off?
- Legacy code & tech debt
- Departmental silos
- Compliance + legal
- Internal resistance to change
- Vendor dependencies
In other words, the same scale that gave big firms power now holds them back.
Prediction timeline: The next 3 years
Year | What Happens |
---|---|
2025 | First "agent-native" SaaS hits $10M ARR with 2-person team |
2026 | First one-person unicorn becomes real |
2027 | Fortune 100 starts acquiring AI-native micro-startups for speed, not tech |
What this means for you
Whether you're a dev, designer, writer, product person, or just curious: you've never had more leverage than right now.
You don't need permission. You need an idea, a weekend, and a bit of grit.
Start small:
- Automate your job
- Build a micro-tool for your niche
- Launch an agent that saves 5 hours a week
The value curve is steep—but only at the start. And right now, the starting line is open to anyone.
Final thought
GenAI isn't enterprise-first. It's imagination-first.
It rewards speed, clarity, and small bets made quickly.
And that's why, for the first time in tech history, the main beneficiaries aren't corporations. They're humans.
Jetpacks are personal.
About the author
Mikhail Liublin writes about the future of work, AI-native creativity, and why the next billion-dollar idea might come from a coffee shop, not a corporate tower. Subscribe to stay ahead of the curve.