AI is rapidly transforming the future of work, and 2025 stands as a critical milestone when many technologies will shift from experimental to mainstream. While headlines often focus on job displacement, the reality is more nuanced and potentially more promising than many realize. The AI workplace transformation happening now extends beyond simple automation. Indeed, current AI workplace trends show a fundamental shift toward human-machine collaboration rather than replacement. Understanding the AI impact on jobs requires looking beyond fear-based narratives to recognize how roles are evolving, not disappearing. Therefore, developing specific skills for the AI era has become essential for professionals across all industries. This article examines what’s actually changing in our workplaces, which technologies are driving these shifts, how your job role might evolve, and what skills you’ll need to thrive. We’ll also explore what organizations must do to navigate this transition successful...
Introduction
Most startup founders dream of building the next billion-dollar company by “scaling fast.” But Paul Graham, co-founder of Y Combinator, revealed a surprising truth: the most successful startups often begin by doing things that don’t scale.
So, what does this mean? And why is it crucial for early-stage growth? Let’s explore.
What Does “Do Things That Don’t Scale” Mean?
In his famous essay, Graham explained that early startups should focus on handcrafted, personal, and unscalable efforts — even if they don’t look efficient.
Examples include:
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Manually onboarding your first 100 customers.
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Writing personal emails instead of automated campaigns.
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Providing exceptional, one-on-one customer support.
These “unscalable” actions build trust, loyalty, and momentum that no growth hack can replicate.
Why Startups Should Do Things That Don’t Scale
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Customer Trust Comes First
Your first users need to feel special. Personal effort creates fans who spread the word. -
Direct Feedback Loop
Talking to customers directly helps you spot problems and improve fast. -
Foundation for Scalability
Once you understand your customers deeply, you can design scalable systems that actually work. -
Strong Early Culture
Founders doing the groundwork set a standard for quality and dedication.
Famous Examples of Doing Things That Don’t Scale
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Airbnb: The founders personally took professional photos of hosts’ apartments to attract more customers.
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Stripe: The founders installed the product manually on users’ computers — they called it the “Collison Installation Service.”
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Uber: Early on, Uber’s team manually matched riders with drivers before automating the system.
These companies scaled later, but only because they invested in intense personal effort early on.
How to Apply “Do Things That Don’t Scale” to Your Startup
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Start Small: Focus on your first 10–100 customers, not 10,000.
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Overdeliver on Service: Go above and beyond expectations.
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Collect Feedback Manually: Call or email customers personally.
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Build Relationships: Create a community before building automation.
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Document the Process: Once you see patterns, then look for scalable systems.
The Mindset Shift
Many founders resist “doing things that don’t scale” because it feels inefficient. But the truth is:
👉 Startups don’t fail because they can’t scale — they fail because they never find customers who care.
By doing unscalable things early, you earn the right to scale later.
Final Thoughts
Paul Graham’s advice is a reminder that behind every big startup is a small group of founders who personally cared about their first users. Growth hacking, automation, and scaling will come in time, but in the beginning, it’s all about hustle, connection, and authenticity.
So if you’re building something new, remember: Do things that don’t scale. That’s how you scale.
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