Over the past few years, attention was focused on who builds the most powerful artificial intelligence models. But a thesis that recently gained strength, driven by players like Anthropic and the investment fund Blackstone, poses a twist: the next trillion-dollar company won't be the one that creates AI, but the one that implements it in real industries. For those working in technology in LATAM, this redefines where the opportunities are.

In this article we analyze what this bet means, why implementation became the big business, and which professional profiles benefit.

The thesis: the value is in applying, not creating

Building frontier AI models requires capital, talent and compute within reach of very few companies. But implementing those models —adapting them to the processes of a bank, an insurer, a retail chain or a hospital— is a gigantic and still under-exploited market. The logic is simple: there's a single model, but thousands of industries waiting to integrate it.

This idea, as reported by TechCrunch, places the implementation layer as the ground where much of AI's economic value will be captured in the coming years. It's not about competing with the model creators, but about building the bridge between those models and companies' concrete problems.

Why implementation is the bottleneck

Most organizations don't know how to go from "we want to use AI" to concrete results. The obstacles are well known:

• Lack of specialized talent that understands both AI and the business.

• Messy data that must be prepared before applying any model.

• Integration with existing systems that is rarely plug-and-play.

• Change management so teams adopt the new tools.

Whoever solves these problems captures the value. That's why the AI implementation role and specialized consulting became so sought-after.

What opportunities it opens for profiles in LATAM

This trend is good news for the region. You don't need to found an AI lab to take part in the business: it's enough to know how to implement. The most in-demand profiles include automation specialists, AI consultants for companies, agent integrators and professionals who combine business knowledge with technical skills. If you're interested in the independent side, check out how to monetize your AI skills as a freelancer.

Reports like McKinsey's The State of AI back this reading: AI's value materializes when it's integrated into real workflows, and that's where companies most need trained talent.

Recommended Coderhouse courses

If you want to position yourself in the wave of AI implementation, these programs prepare you for different roles:

• Starting point: the Introduction to Artificial Intelligence Course gives you the framework to understand the ecosystem.

• Applied automation: the AI Automation Career trains you to integrate AI into business processes.

• Technical profile: the AI Engineering Course goes deeper into building solutions.

• Solution design: the AI Products Course is ideal for those who lead adoption.

Seize the opportunity: train in AI implementation and position yourself in one of the fastest-growing markets.

Frequently asked questions

What does "implementing AI" mean in concrete terms?

It's adapting existing AI models and tools to a company's processes: automating tasks, integrating assistants, connecting systems and training teams. It doesn't involve creating a model from scratch, but applying it to solve real problems.

Why would implementation be more profitable than creating models?

Because there are few model creators and thousands of industries that need to apply them. The implementation market is much broader and still under-served, which makes it a great business opportunity.

Do I need to be a programmer to work in AI implementation?

Not always. There are technical roles and business roles. Consultants, automation specialists and product profiles can participate without programming at an advanced level, although a technical foundation always helps.

Does this trend benefit LATAM?

Yes. Implementation doesn't require the capital of creating models, so professionals and companies in the region can compete by offering integration and consulting services to local and international markets.

How do I start specializing in this?

Combine an AI foundation with automation and integration skills, and add knowledge of the sector where you want to work. The mix of business and technical is what companies looking to implement AI value most.