How AI Is Changing Businesses: Why Most Companies Aren't Ready
- Leyla Marie Hazim Bahssa
- 7 days ago
- 3 min read
Every time a new technology emerges, the conversation tends to follow the same pattern.
Will it replace jobs?
Will it automate entire industries?
Are we ready for what's coming?
But perhaps those aren't the most interesting questions.
Our conversation with Luis Mateos surfaced a far more uncomfortable idea: the real problem isn't how quickly technology is advancing.
The real problem is that most organizations are still designed for a world that no longer exists.
And that problem started long before artificial intelligence.
The Obsession With Acting Before Thinking
There's an almost universal tendency across companies, startups, and even small teams to start executing before fully understanding where they're trying to go.
Luis explains it with a simple analogy.
If someone stopped you on the street and asked whether they should turn left or right, your first question would be: Where are you trying to get to?
Yet inside organizations, the opposite happens every day.
Projects begin before objectives are aligned.
Teams are assembled without shared context.
Strategies are executed before anyone has clearly defined what success actually looks like.
The result is predictable.
Meetings become opportunities to fix misunderstandings.
Work gets redone.
Teams spend time solving problems that were created long before execution ever started.
Speed often looks like productivity.
In reality, it's frequently just movement.
The World Rewards Specialists. Reality Rewards Adaptability.
For decades, organizations were built around specialization.
The logic was straightforward.
The more often someone repeated a specific task, the better they became at performing it.
That model worked well in relatively predictable environments.
The problem is that the environment is no longer predictable.
Technology is dramatically lowering the cost of accessing knowledge.
Tools like ChatGPT allow a single person to solve problems that previously required multiple specialists.
Not because they suddenly become experts overnight, but because they can access capabilities that were once distributed across entire departments.
That changes the rules completely.
When building becomes easier, knowing what is worth building becomes far more valuable.
And that creates an interesting paradox.
The more technical knowledge becomes automated, the more valuable uniquely human capabilities become.
Critical thinking.
Judgment.
Collaboration.
Creativity.
Adaptability.
AI Isn't Transforming Companies. It's Exposing Their Weaknesses.
Many organizations see AI as another tool they need to adopt.
But perhaps that's looking at the problem from the wrong angle.
AI is revealing just how many businesses are still operating with structures designed to maximize efficiency in a completely different era.
Slow processes.
Rigid hierarchies.
Siloed departments.
Decision-making spread across layer after layer of management.
Those systems worked when change happened slowly.
They don't anymore.
Today, one person can produce far more than they could five years ago.
A small team can compete with organizations many times its size.
A startup can launch products at a pace that would have been unimaginable just a few years ago.
The implication is clear.
Organizations that fail to adapt will find it increasingly difficult to compete against those that do.
The Future Probably Won't Look Like the Companies We Know Today
One of the most thought-provoking ideas from the conversation centered on the very concept of the company itself.
For generations, we've understood companies as containers for people.
Places where individuals join, build a career, and remain for years.
Technology is beginning to enable something much more fluid.
Teams that form around a specific problem.
Professionals contributing to multiple projects simultaneously.
Networks of talent organized around a mission rather than a permanent organizational chart.
That doesn't mean companies will disappear.
It means we'll likely see organizational models that look radically different from those we know today.
The Challenge Is No Longer Technological
The conversation ended where many of the most important questions begin.
We don't know exactly what the world will look like in ten years.
We don't know which professions will disappear or which new ones will emerge.
We don't know what the final balance between artificial intelligence, automation, and human work will be.
What does seem increasingly clear is this:
Competitive advantage will no longer come from access to technology alone.
Technology becomes democratized.
Knowledge becomes democratized.
Tools become democratized.
What remains scarce is judgment.
The ability to think before acting.
The willingness to question assumptions.
The capacity to adapt when the world changes.
Because perhaps the greatest challenge of this decade isn't building better tools.
Perhaps it's learning to think more clearly in a world where it's becoming easier every day to let technology think for us.
Listen to the Full Episode
📺 YouTube: https://www.youtube.com/watch?v=DUGTpl8N_E0
🔗 Luis Mateos on LinkedIn: https://www.linkedin.com/in/luismateoskeim/
🌐 Nomu Labs: https://www.nomulabs.com/
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