The Next Generation of Companies Won’t Build Offices; They’ll Build an Integrated Workforce Ecosystem 

Latin America has emerged as an undoubted center for exporting services and nearshoring. According to recent projections made by the Inter-American Development Bank, such relocation of facilities could result in as much as USD 78 billion worth of new exports for the region in the near future. This amount of opportunity will change the way businesses look at talent and operations, as well as posing a deeper question about what kind of competitive advantage is required.

It is no longer a question of where to open an office but whether or not you can create an operating model that will be able to sustain a distributed workforce, one which can recruit rapidly, operate internationally, and keep the people it needs. Companies that have figured out how to do that are saving millions and, in some cases, billions of dollars per year from that decision alone. And it’s no coincidence that those results come from making workforce infrastructure a strategic priority.

This isn’t a story about remote working. It’s a story about a change in strategy when it comes to growth and capability and resilience. Competitive advantage today is defined by your ability to access the right people, in the right places and with the right operating model to support them. And in that context, workforce infrastructure is as important to success as digital infrastructure once was.

Building Full Capability Platforms

That shift is visible in the rise of Global Capability Centres. The GCC model now spans engineering, research and development, customer operations, digital delivery, and innovation functions. India’s GCC ecosystem alone now includes more than 1,700 centres, with official projections pointing toward a USD 105 billion sector by 2030. The message is clear: global firms are no longer building only support functions offshore; they are building full capability platforms.

The challenge is speed. Establishing a GCC through traditional means requires resolving entity creation, payroll systems, compliance obligations, staffing processes, hardware and software provisioning, employee benefits, and HR operations before a single productive team is in place. That timeline can extend into several months or years.

Agile operating structures resolve this problem through an initial provision of existing infrastructure and compliance framework, such that organizations can onboard qualified personnel within a few days without the need for a local corporate vehicle. The payroll, contracts, and benefits are set from the very beginning. The operational layer is there, and all that is left to do is scale into it.

Latin America is particularly well suited to this model. The region offers talent quality, operational proximity, and stronger retention for companies that want to move quickly while staying aligned with US teams. Distributed teams in LATAM can work in the same rhythm as North American organizations, with less friction in communication, travel, and culture. And the market is showing the value of this region; the projected growth rate only in Colombia is 7.37%. There is diversity in tech, AI, data, customer operations, and business functions; these are the main core of the Waas services in LATAM.

AI is pushing towards an Integrated Workforce Ecosystem 

The benefits of having a pool of international talent go further than saving money. Professionals who speak multiple languages and are well-versed in different cultures represent a source of organizational resilience which cannot be replicated in their domestic setting. Let us imagine a British company where workers finish work at 6 p.m. in London, while another group of employees in Bogotá carries on working an extra five to six hours.

Nevertheless, retention is an underrated problem. It is important to bring foreign talent on board; the more crucial issue lies in the ability of the operating model to retain them. A good structure of the distributed operating model is not limited to working from home but provides job security, career development, and access to international opportunities without the need for moving abroad. This is a major change for professionals in Latin America, where having a career abroad did not mean anything other than moving there.

That imperative is only growing. The assumption that AI will reduce the need for human talent infrastructure has not played out in practice — if anything, the opposite is true. For example, Nvidia vice president of applied deep learning Bryan Catanzaro noted that for his team, the cost of compute is far beyond the cost of the employees. An MIT study found that AI automation would be economically viable in only 23% of roles where vision is a primary part of the work, meaning that in the remaining 77% of cases, it was cheaper for humans to continue performing the work. Despite no clear evidence of AI improving productivity, Big Tech firms have announced $740 billion in capital expenditures on AI in 2026 alone, a 69% increase from the prior year.

What this signals is not that AI is replacing the need for workforce infrastructure: it is increasing the demand for it. According to PwC’s 2026 Global AI Jobs Barometer, which analysed more than one billion job ads across six continents, companies most able to use AI continue to expand hiring faster than their peers, and the skills they are hiring for are changing rapidly. AI is professionalising roles rather than eliminating them: jobs in which AI automates routine tasks so that human judgement and expertise are emphasised are growing at twice the rate of other roles, with 42% faster salary growth. 

While businesses make investments in AI technologies, they are also establishing new job roles – such as AI operations engineers, AI product managers, governance experts, and prompt engineers – which need similar legal, payroll, regulatory, and HR infrastructure as any other employee recruitment process. Based on the Stanford HAI 2026 AI Index, AI skills constitute 2.5% of all job advertisements in the United States, which is a growth of 297% over the past ten years – at a rate more than twenty times faster than general jobs in the country. The companies that can best leverage AI technology will be those that have established their human resource system for AI deployment.

The Right People in the Right Conditions

The companies best positioned for the next decade are not those with the largest offices or the most aggressive AI spending. They are those that have built the operating infrastructure to find the right people, put them in the right conditions, and keep them. That is a harder problem than it sounds — and it is the one that most global expansion strategies still underestimate.

For Latin America, this moment carries particular weight. It is not just a means for firms to reduce their headcount expenses. It is a nascent platform where engineering proficiency, artificial intelligence expertise, and operational excellence intersect and where the next generation of workers can get exposure to a truly global career without having to go through the painful process of leaving. This is a relationship that benefits both parties, as firms will get competency, agility, and resilience; workers will get security and growth opportunities.

The firms that recognize this earliest will not just save money. They will build something more durable. Organizations that recruit faster, retain longer, and operate with a structural advantage that neither an office lease nor an AI subscription can replicate. In the emerging global economy, the scarce resource is not capital or compute. It is the ability to build and sustain teams of people who do excellent work together. Workforce infrastructure is how that gets done.

Article by Pablo Miller, Co-founder and CEO of Remoti