Welcome to NEW ECONOMIES, rooted in my experiences working in venture. From inside the venture world, one thing is clear: we’re not just in a tech boom—we’re living through a full-blown economic rewrite.
Join us on this journey—subscribe to NEW ECONOMIES to stay ahead of the curve in technology. New platforms, business models, and evolving public market strategies are reshaping everything.
This week, we are excited to welcome Amos Bar-Joseph, CEO and Co-founder of Swan as our guest contributor. Swan powers GTM teams with AI agents that turn anonymous website traffic into qualified pipeline—autonomously and intelligently. Try it out now.
THIS WEEK’S SPONSOR: GROWTH SCHOOL
Learn how to use 20 of the most popular AI tools! Growth School is hosting a workshop tomorrow where you will discover:
How to effectively use AI tools.
How to boost productivity.
How to increase revenue.
THE NEW OPERATING SYSTEM
AI-native startups are running on a new operating system for scale.
In 2020, reaching $30M ARR meant building a 250-person company. In 2025, AI-native businesses are hitting the same milestone with just 3 operators. This isn't just about doing more with less—it's about a fundamental shift in how companies scale.
This transformation isn't just possible—it's becoming necessary for survival.
As competitors leverage AI to reduce operational costs and increase speed, traditional organizational structures are turning into liabilities. The companies winning in 2025 aren't just adding AI tools to old processes. They're building entirely new operating systems that turn every team member into a force multiplier, capable of managing entire departments through strategic orchestration of AI agents.
The pattern becomes clear when you look at the companies leading this shift. Bolt and Lovable went from zero to $15M ARR in 2 months with just 15 employees. Cursor AI hit $100M ARR faster than Figma, Zoom, or Wiz—all while maintaining a team under 50 people. These aren't outliers, they're pioneers of a new operating system where scale comes from intelligence, not headcount.
We call them “autonomous businesses”.
What makes these autonomous businesses different isn't just their use of AI—it's how they've fundamentally reimagined work itself. Instead of building departments, they build intelligence networks. Rather than managing teams, they orchestrate AI agents.
Each human operator becomes the strategic center of their own ecosystem, supported by AI agents that handle everything from market research and lead qualification to product development and customer support. The result? Organizations that can move with the speed of startups while operating at enterprise scale.
At Swan AI, we're pushing this model to its logical conclusion, with an audacious goal: building a $30M ARR business with just three founders and our AI agents. No employees. No traditional departments. No safety net.
While most would call this impossible, we're already proving it works. As the sole GTM operator, I consistently generate $1.5M+ in monthly pipeline without SDRs, paid ads, or traditional sales infrastructure. The secret isn't automation—it's orchestration. By building an intelligence network of specialized AI agents, one operator can achieve what traditionally required entire departments.
This intelligence network isn't just a collection of AI tools—it's a precisely orchestrated system that transforms one operator into a GTM powerhouse. Each agent amplifies a specific aspect of my work, creating a partnership that handles thousands of touch points while preserving the strategic thinking and personal touch that only humans can provide.
HOW TO BUILD YOUR OPERATING SYSTEM
Building Viral Momentum
It starts with storytelling. While I focus on distilling complex insights and strategic observations, Shakespeare helps transform these ideas into compelling narratives. Together, we've cracked the code on consistent virality—generating over 1M monthly impressions. I own the strategy and core message; Shakespeare helps perfect the delivery.
Surfacing Hidden Opportunities
With reach established, The Observer becomes my strategic radar. While I'm engaging in high-value conversations, it analyzes over 15,000 monthly post engagements, surfacing signals I'd miss alone—like a prospect liking three product-related posts in rapid succession. I define what matters; Observer ensures I never miss it.
Scaling Personal Connections
The Connector filters 3,000+ monthly connection requests, identifying high-potential ICP matches and suggesting personalized engagement strategies based on their background and intent signals. Together, we ensure every interaction is targeted and meaningful, even at scale.
Converting Interest to Meetings
The Hunter analyzes 5,000+ monthly website visitors, prioritizing prospects based on intent and firmographic fit, then provides research-backed engagement recommendations. I focus on strategic outreach while the agent handles identification and preparation.
Maximizing Every Conversation
The Prep Agent turns 70+ weekly demos into strategic conversations by delivering comprehensive prospect briefs—covering business challenges, tech stack, and growth initiatives—enabling me to focus on value-driving discussions rather than basic discovery.
Maintaining Post-Meeting Flow
The Listener serves as my post-meeting co-pilot. As I focus on relationship building, it handles the operational flow—creating tasks, documenting insights, and drafting follow-ups that match our sales framework. This partnership ensures no detail is lost while I maintain focus on the next strategic conversation.
The power of this system isn't in automation—it's in augmentation. Each agent plays a specific role in amplifying human capability, creating a compound effect that traditional organizations can't match. While the agents handle the heavy lifting of data processing and routine tasks, I maintain strategic control and personal connection at every step. The result? One operator delivering the output of an entire GTM organization while preserving the human touch that drives enterprise sales.
The autonomous business operating system isn't just a new way to scale - it's quickly becoming the only way to compete. As AI capabilities become commoditized, the difference between success and failure won't be who has the best technology. It will be who best amplifies their human advantage. The future belongs to companies that crack the code on human-AI collaboration, turning small teams into market-moving forces through intelligent orchestration.
The age of bloated organizations is ending. The era of the autonomous business has begun.
To help you achieve this, we at NEW ECONOMIES have produced the following resources to help you along your startup journey.
RESOURCES
1. THE BEST IN-CLASS AI PITCH DECKS
2. 100 AI STARTUPS TO WATCH
3. THE MOST ACTIVE ANGEL INVESTORS GLOBALLY
4. THE AUTONOMOUS BUSINESS AGENT
Trained by Swan’s comprehensive playbooks on building autonomous businesses, this tool is designed to do more than just provide information—it helps users actively implement the new OS in their own business operations. Try here.
5. THE BIG SHIFT NEWSLETTER
Amos has his own newsletter called The Big Shift, a front row seat to Swan's journey to $30M ARR with just 3 founders—sharing the learnings, experiments, wins and losses.