When a big storm rolls through, palm trees and bamboo bend almost to the ground. The next morning, they're still standing. The stiffest tree, the one that looked strongest, is sometimes the one that's split in half. It didn't resist harder. It just couldn't bend.
Businesses work the same way. Today's strength (size, locations, loyal customers, a way of doing things that has always worked) can turn into rigidity the day your customer changes. And at that point, what matters most isn't how much you have. It's how fast you can adjust.
Blockbuster filed for bankruptcy in September 2010. According to Associated Press coverage, it was still running about 3,300 stores in the U.S. at the time. It had peaked at 9,100 stores worldwide in 2004. It wasn't short on locations or brand recognition. It was short on the ability to bend.
Late fees were one of its most profitable revenue streams: in 2000 they brought in nearly $800 million, about 16% of its revenue. Netflix showed up with an offer customers loved: a monthly subscription, movies by mail, and no late fees. What customers wanted ran straight against how Blockbuster made money.
Changing that wasn't a matter of buying new technology. It meant rethinking how the company charged, how its stores ran, and what it measured as success. The model was tied to a single way of doing things, and when customers moved, the operation couldn't keep up.
Kodak's story is even starker. One of Kodak's own engineers, Steven Sasson, invented the first digital camera in 1975. Kodak had the idea in hand. Even so, as Reuters put it when the company filed for bankruptcy in January 2012, it failed to embrace modern technologies like the digital camera quickly enough, a product it had invented. Its market value had sunk from $31 billion to under $150 million in 15 years.
The lesson for an owner isn't "predict the future." Kodak saw it coming. The lesson is that seeing the change is useless if your operation, your costs, and the way you make decisions won't let you move toward it.
Artificial intelligence is shifting three things at once. It squeezes margins, because tasks that used to take hours now take minutes, and your competitors know it. It raises the pace, because what used to take months is now expected in weeks. And it changes what customers expect: faster, more personal answers, at any hour.
The tempting question is "Which AI tool should I buy?" That's the small question. The real one is: can I change course without breaking my operation? A new tool on top of a rigid operation is like putting a bigger engine in a car that can't steer. So before scaling AI across the company, it pays to get the basics in order.
Flexibility doesn't mean improvising or changing everything every month. It means running an operation you can adjust without it falling over. In owner's terms, it looks like this:
You don't need an expensive assessment to get started. Sit down with your team and answer honestly:
If the answers make you uncomfortable, that's a good sign. Now you know where to start.
It's a company's ability to adjust how it works, charges, or delivers without the operation falling apart. It rests on clear processes, connected systems, data within reach, a team that learns, and small, frequent decisions.
It filed for bankruptcy in September 2010 with about 3,300 U.S. stores still open. Late fees were a key revenue stream (16% in 2000), and when Netflix offered subscriptions with no late fees, its model couldn't adapt in time.
That seeing the change isn't enough. Kodak invented the first digital camera in 1975 (its engineer Steven Sasson built it), but the company didn't embrace digital fast enough and filed for bankruptcy in 2012.
That's not the first question. First, find out whether your operation can change course without breaking. A new tool on top of rigid processes delivers little.
Identify what would break first if you had to change, what depends on a single person or tool, and how long it takes to know if a change worked. Then try one small adjustment, measure it, and repeat.
At Somos Gente Digital, we're transforming in this era too. We want to be the best choice for our clients, not just another commodity. That's why we use AI to support you better, not to be cheaper: to understand your business faster, build with a clear method, and spend more time on what matters, which is talking with you and helping you decide.
What doesn't change is how we work: we listen, we build, and we stay with you until the business grows, with people close to you and trust built over time. If you want to look at how flexible your operation really is, reach out through our contact page.
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