The capacity to relate, to manage teams, to communicate well—no algorithm will replace that soon.
En medio de la peor tasa de desempleo que Chile ha registrado en cinco años, el mercado laboral revela una paradoja que habla de transformaciones más profundas: mientras la automatización desplaza el trabajo rutinario, las empresas no encuentran suficientes profesionales capaces de diseñar, gestionar y evolucionar los sistemas que reemplazan a las personas. No es que el trabajo desaparezca, sino que muta hacia formas que exigen una síntesis entre conocimiento técnico, adaptabilidad y capacidad humana de conexión. La crisis del empleo y la escasez de talento coexisten, recordándonos que las grandes transiciones rara vez afectan a todos por igual.
- Chile alcanzó un 9,1% de desempleo en el trimestre febrero-abril de 2026, el nivel más alto en cinco años, mientras las empresas tecnológicas no logran cubrir sus vacantes.
- La automatización está eliminando puestos administrativos y operativos a un ritmo que supera la capacidad del sistema educativo y laboral para reconvertir a los trabajadores afectados.
- El 86% de los líderes empresariales planea aumentar su inversión en inteligencia artificial, pero solo el 20% de los trabajadores se siente preparado para operar con estas herramientas.
- Profesionales de sectores tradicionales como minería, ingeniería y geología están siendo reentrenados en tiempo real como operadores remotos y gestores de sistemas autónomos.
- La brecha no es solo técnica: las empresas demandan igualmente habilidades blandas como comunicación, liderazgo y coordinación, competencias que los algoritmos aún no pueden replicar.
El mercado laboral chileno emite señales contradictorias en 2026. El Instituto Nacional de Estadísticas reportó una tasa de desempleo del 9,1% para el trimestre febrero-abril, la más alta en cinco años. Sin embargo, en las oficinas de reclutamiento corporativo, la historia es otra: hay una búsqueda urgente e insatisfecha de profesionales en inteligencia artificial, machine learning, ciberseguridad, computación en la nube y desarrollo de software. La paradoja es reveladora: el desempleo general sube mientras ciertos perfiles técnicos escasean.
Esta tensión refleja una reorganización profunda del trabajo. Las tareas rutinarias están siendo automatizadas, pero los sistemas que las ejecutan requieren ser diseñados, mantenidos y evolucionados por personas. El resultado es un mercado bifurcado: menos oportunidades para quienes carecen de conocimientos especializados, y una demanda aguda para quienes los poseen.
Carlos Larraín, CEO de TRES60 by SGS, sostiene que la tecnología no destruye empleo, sino que lo transforma. Proyectos de electrificación, operaciones remotas y energía limpia generan roles nuevos que aún no tienen suficientes candidatos. Su consejo para ingenieros, geólogos y técnicos formados antes de la era digital es claro: no abandonar su disciplina, sino integrarle herramientas de análisis de datos e inteligencia artificial. La síntesis entre experiencia y tecnología multiplica el valor profesional.
Juan Reimann, CEO de TRC Recruitment, añade que la competencia técnica ya no basta por sí sola. Las empresas buscan profesionales que combinen dominio digital con habilidades de comunicación, gestión de equipos y construcción de relaciones. En un entorno mediado por algoritmos, la capacidad humana de coordinar y conectar se vuelve un diferenciador crítico.
La brecha entre oferta y demanda amenaza con agrandarse. Mientras el 86% de los líderes empresariales planea invertir más en IA, solo el 20% de los trabajadores se siente preparado. Esa distancia es simultáneamente una crisis y una oportunidad. En sectores como la minería, la reconversión ya ocurre: operadores manuales se convierten en gestores de operaciones remotas, y cuadrillas de mantenimiento aprenden a trabajar con vehículos eléctricos y autónomos. El mercado está seleccionando, con frialdad, a quienes se adaptan y a quienes no.
Chile's job market is sending contradictory signals. The national unemployment rate climbed to 9.1% in the February-to-April quarter of 2026, marking the worst stretch in five years according to the Instituto Nacional de Estadísticas. Yet walk into any corporate hiring office, and you'll find a different story unfolding. Companies across the country are actively recruiting professionals who understand artificial intelligence, machine learning, data science, cybersecurity, cloud computing, and software development. The paradox is stark: as overall joblessness rises, employers struggle to fill positions that demand technical skills tied to digital transformation.
This contradiction points to a deeper shift in how work itself is being reorganized. Routine tasks—the kind that once filled administrative departments and operational floors—are being automated away. But the systems that perform that automation need to be designed, built, maintained, and managed by humans. The result is a labor market increasingly bifurcated: fewer jobs for those without specialized technical knowledge, and acute scarcity for those who possess it.
Carlos Larraín, CEO of TRES60 by SGS, frames the situation plainly. Technology is often misunderstood as a threat to employment, he argues, when the reality is more nuanced. Remote operations, autonomous systems, electrification, and clean energy projects all demand competencies that don't yet exist in sufficient supply. These aren't jobs being eliminated—they're new positions being created, and they tend to pay better and offer more meaningful work than what they replace. The catch is that the workforce hasn't caught up.
Larraín points to a specific opportunity for professionals trained in traditional fields. Engineers, geologists, technicians—people whose expertise was built in the pre-AI era—don't need to abandon their disciplines. Instead, they need to integrate data-driven decision-making and artificial intelligence into their existing practice. A geologist who learns to interpret machine learning models becomes exponentially more valuable than one relying on experience alone. The skill isn't replacement; it's synthesis.
But technical knowledge alone isn't enough anymore. Juan Reimann, CEO of TRC Recruitment, notes that companies now expect more than competence in a narrow domain. They want professionals who can leverage digital tools and AI to meaningfully increase productivity across their operations. Soft skills—the ability to communicate clearly, manage teams, build relationships—have become just as critical. In a workplace increasingly mediated by technology, the human capacity to connect and coordinate is precisely what algorithms cannot easily replicate.
The demand trajectory suggests this gap will only widen. According to Accenture's Pulse of Change study, 86% of business leaders plan to increase their investments in artificial intelligence by 2026. Yet only 20% of workers believe they have the skills necessary to work with these tools. That disparity represents both a crisis and an opening. For those willing to invest in upskilling and professional development, the opportunities are substantial—particularly in sectors like mining, where the transformation is already underway.
Larraín describes what's happening in real time: manual operators are being retrained as remote operation managers. Maintenance crews are learning to work with electric and autonomous vehicles. This isn't theoretical. It's occurring now, reshaping which workers will have viable futures in their industries and which will not. The unemployment crisis is real, but it masks a more selective reality: the market is ruthlessly sorting people based on their ability and willingness to adapt.
Citações Notáveis
Automation is often misunderstood as a threat to employment when it actually creates higher-value jobs—remote operations, clean energy projects, autonomous systems all demand skills that don't yet exist in sufficient supply.— Carlos Larraín, CEO of TRES60 by SGS
Companies need professionals who can significantly increase productivity using digital tools and artificial intelligence, not just those who do their narrow job well.— Juan Reimann, CEO of TRC Recruitment
A Conversa do Hearth Outra perspectiva sobre a história
So Chile has nearly one in ten people out of work, but companies are desperate for AI engineers. How does that even happen?
It's not really a contradiction once you look closer. Automation is eliminating the jobs that existed—routine administrative work, repetitive tasks. But building and managing those automated systems requires people with skills that barely existed five years ago. The supply hasn't caught up to the demand.
But couldn't someone just learn those skills? Why is there such a gap?
Training takes time, and it's not cheap. You need specialized education in machine learning, data science, cybersecurity. Most people in the workforce trained for a different economy. Retraining at scale is slow. Meanwhile, companies need people now.
The article mentions soft skills matter too. That seems odd when we're talking about AI.
It's not odd at all. The more technical the work becomes, the more you need people who can actually communicate across teams, manage projects, explain complex ideas to non-technical stakeholders. An algorithm can't do that. Those human skills become the differentiator.
So what happens to the 80% of workers who don't feel ready for this?
That's the real question. Some will upskill and move into these new roles. Others will be stuck competing for jobs that are disappearing. The ones who move fastest—who see the transformation coming and invest in learning—will have the advantage.
Is this just a Chile problem?
No. This is happening globally. But Chile's unemployment crisis makes it more visible and more urgent. The transformation is real everywhere; the stakes are just higher when the overall job market is already weak.