There’s a moment when every empire realizes it’s too late.
For Blockbuster, it was 2007. Netflix had 7.5 million subscribers. Reed Hastings was already talking about streaming. The writing wasn’t just on the wall—it was flashing in neon lights.
But Blockbuster couldn’t move. 7,700 stores. $800M in late fees. Their entire business model depended on the thing that was about to kill them.
That moment is happening again. Right now. In nearly every industry.
The Giant’s Dilemma
Here’s what it looks like when businesses are worth a fortune but can’t move:
They’ve got thousands of employees. The quarterly board meeting is next week. They know AI is changing everything. Their teams have been talking about "digital transformation" for three years.
But they also know:
- Their revenue depends on the complicated pricing model they’ve spent years perfecting
- Their biggest customers bought into the platform because of all those features they can’t just… remove
- Their sales team’s commission structure is built around the high-touch, complex deals that AI is about to make obsolete
- That multi-million dollar bet the company took to build a new product? The one that took 12 months? A startup has just launched a better replacement for $99/month. Built in just three months.
- And, oh yeah, their employees don’t know how to utilize AI beyond simple ChatGPT email enhancements.
They’re not stupid. They can see what’s coming. They’re just handcuffed by what got them here.
Their revenue models require the problems to stay complicated. Their teams need the software to stay complex. Their pricing depends on keeping things the way they are.
But the world isn’t staying the way it is.
How Startups Attack This
If you’re a startup, here are the moves working right now:
Strategy #1: Target Their Trapped Customers
Giants can’t change without upsetting a large portion of their existing customers. You can build exactly what those customers actually want.
Clay’s playbook (www.clay.com):
Salesforce customers were spending $150K+ annually on licenses plus consultant fees for basic prospecting workflows. Salesforce couldn’t simplify without cannibalizing its Professional Services revenue (30% of its $31B). Clay built AI-powered prospecting for $134/month that integrates with existing CRMs but doesn’t require them.
Strategy #2: Price for Outcomes, Not Access
Giants charge based on old constraints (per user, per feature, per storage). You can charge for what customers actually achieve.
Ramp’s playbook (www.ramp.com):
QuickBooks has 5 million SMBs locked into rising subscription tiers (Plus at $115/month, Advanced at $275/month) plus payroll add-ons. That pricing depends on accountants managing manual categorization workflows.
QuickBooks can’t simplify without destroying its consultant channel.
Ramp attacked this directly with a free corporate card that includes AI expense management.
Zero per-user fees, instant receipt matching, and seamless sync to QuickBooks — so operators skip the manual work that accountants monetize.
Ramp makes money on interchange fees when you use their card, so the software is free. You pay (and don’t even know it) based on your spending volume, not your team size.
Strategy #3: Serve the "Not Good Enough" Market
Giants typically optimize for enterprise customers who pay the big bucks. You can win everyone they ignore.
Lovable’s playbook (www.lovable.dev):
Professional developers use complex tools like VS Code and pay enterprise prices for GitHub, AWS, and deployment tools.
But there are millions of "citizen developers" – marketers who want landing pages, operations people who need simple apps, founders who want MVPs – who find traditional development completely overwhelming.
Lovable lets non-technical people build full applications by describing what they want in plain English. No Git repositories, no deployment complexity, no learning curve.
They went from zero to massive adoption by serving everyone the enterprise development tools ignore.
Strategy #4: Build What They Can’t
Giants have to maintain backward compatibility with decades of technical debt. You can start fresh.
Perplexity’s playbook (https://www.perplexity.ai):
Google built search around ad revenue – they need you to click through multiple results to see ads. Their entire $280B business model depends on showing you 10 blue links and hoping you click on the sponsored ones.
Perplexity gives you the answer directly with sources cited. No ads, no clicking through, no revenue from confusion. They built search for answers, not clicks.
Google can’t replicate this without destroying its advertising business. Every direct answer Perplexity gives is a click Google loses.
Even Google’s AI Overviews are carefully designed to still drive clicks to websites – they can’t give you the full answer without cannibalizing ads.
What Giants Can Actually Do About It
Alright, here are the options. I’m not going to sugarcoat it—they’re all painful. But some might work.
Option #1: Create a Separate Company or Business Unit
Build a completely independent unit with different pricing, different customers, different everything. Let it work alongside your main business.
Amazon’s story:
Amazon was a bookstore in 1994, built retail infrastructure, and realized they could sell that infrastructure as a service.
They launched AWS in 2006 as a completely separate business unit.
AWS now generates 70% of Amazon’s operating income despite being only 16% of revenue. They cannibalized hosting companies, not their own retail business.
Option #2: Acquire Your Way Out
Buy the threats before they get too big. Pay whatever it takes.
Meta’s story:
Meta saw mobile social coming for Facebook’s desktop dominance. They bought Instagram (13 employees, $0 revenue) for $1B in 2012 and WhatsApp (55 employees, $20M revenue) for $19B in 2014.
Both acquisitions seemed insane at the time.
Now Instagram generates $50B+ annually, and WhatsApp has 2B+ users.
Meta killed the threats before they got too big.
Option #3: The Controlled Demolition
Actively cannibalize your existing business to build the new one.
Netflix’s story:
Netflix was making $1.2B from DVD-by-mail in 2010 (60% of their profit).
Reed Hastings announced they were killing DVDs to focus on streaming.
The stock crashed 80%. 80 PERCENT!
Customers revolted. But they pushed through, and revenue grew to $32B by 2023.
They cannibalized themselves before someone else did.
Why Most Giants Will Still Lose
Here’s the uncomfortable truth: even knowing what to do, most giants still won’t make it.
It’s not because they’re bad companies. It’s because the same things that made them successful make change nearly impossible.
Here are some of their challenges:
The Success Problem
This is the weirdest one: Some giants are too successful to change.
When you’re making billions a year, it’s hard to get excited about a $10M experiment.
When your worst quarter is still profitable, urgency feels manufactured.
Startups are desperate. Desperation creates focus. Focus creates speed.
Giants? They’re comfortable. Comfortable doesn’t disrupt anything.
The Time Problem
While giants are figuring out how to change, startups are shipping at speeds that would make your head spin.
Giants’ strategic planning cycle: 18 months to launch. Startups’ entire company lifecycle: 18 months to escape velocity.
Giants’ board approval process: 6 months. Startups’ iteration cycle: 6 days.
This isn’t just about being faster. It’s about operating in completely different time dimensions.
Clay went from unknown to reshaping sales while Salesforce spent 2 years and $1.5B building Einstein GPT. Cursor gained millions of users while Microsoft took 3 years just to add AI features to VS Code.
While giants are scheduling the meeting to discuss the meeting about maybe exploring AI, startups are already serving their customers better than they do.
The Culture Problem
Giants spent 20 years hiring people who are excellent at the old way.
Their best performers built their careers on complexity, relationship selling, and technical expertise that commanded premium pricing.
Now they’re telling these same people the future is simple, self-service, and automated.
These employees aren’t going to sabotage the company on purpose. But they’re also not going to enthusiastically build the thing that makes them irrelevant.
The very skills that made them valuable are becoming obstacles to change.
The Window Is NOW (For Everyone)
Here’s the thing about disruption moments: they don’t last forever.
Right now, there’s chaos. Customers don’t know what’s possible. Incumbents are paralyzed by options. The rules are being rewritten in real-time.
But windows close.
For Startups: This is Your Moment
In 18 months, the big players will have figured out their AI strategies. They’ll have acquired the obvious threats. They’ll have hired away your best engineers with 2x salary offers.
The companies moving today — while everyone else is still in planning mode — will own the next decade.
Clay didn’t wait for Salesforce to add AI prospecting. They built it first, and now they’re setting the standard.
Cursor didn’t wait for Microsoft to make VS Code conversational. They reimagined coding entirely.
Harvey didn’t wait for BigLaw to embrace AI. They gave small firms superpowers instead.
For Giants: Last Call
You still have advantages. Brand recognition. Customer relationships. Cash reserves. Distribution networks.
But every day you wait, those advantages matter less.
Your customers are already experimenting with alternatives. Your best talent is getting recruited by startups offering equity upside. Your competitors are making moves while you’re in committee.
Reed Hastings didn’t wait until DVDs were completely dead to bet on streaming. He saw the writing on the wall and moved while Netflix still had leverage.
What Happens Next
This isn’t a prediction. It’s pattern recognition.
Some giants will successfully reinvent themselves. Most won’t.
Some startups will build the next generation of industry leaders. Most will still fail.
But the companies that move now — while everyone else is still debating what’s possible — will write the rules for everyone else.
Blockbuster had every advantage over Netflix in 2007:
- 7,700 stores vs Netflix’s 50 employees
- Brand recognition in every neighborhood
- Relationships with every movie studio
- $6 billion in revenue vs Netflix’s $1 billion
But they were optimizing for yesterday’s game while Netflix was building tomorrow’s.
Five years later, Blockbuster was bankrupt and Netflix was worth more than most movie studios.
The Blockbusting has begun.
The only question left is whether you’ll be holding the sledgehammer or standing in the building.