From the automation of texts to assistance with complex cognitive tasks, AI is gaining ground in dozens of professions. But in the midst of this dizzying advance, an even more challenging question emerges: What will be the true role of the human being in an economy where algorithms can program, write, and even design?

A recent report by MIT and OpenAI reaffirms this crossroads. The tasks most easily assisted by AI—writing, information searching, and code drafting—are already being absorbed by generative tools. But far from eliminating the human element, this technological evolution is highlighting a deeper truth: human talent isn't replaced, it's redefined. And in this process, competencies like critical judgment, creativity, and ethics emerge as the pillars of the new professional of the 21st century.

Despite its advancements, AI still falls short of what truly distinguishes human intelligence: the ability to interpret context, empathize with others, make ethical decisions, and propose original ideas driven by intuition and experience. According to the World Economic Forum, while 85 million jobs are projected to be automated by 2025, 97 million new roles will emerge, specifically designed to capitalize on the synergies between humans and machines.

Organizations that understand this have a strategic advantage. A recent PwC report (2024) indicates that 70% of executives believe that human competencies will remain central in teams integrated with AI. This is especially true in roles with a high decision-making load, intercultural relations, or solution design where the human touch makes the difference.

As artificial intelligence becomes a ubiquitous tool, the key question isn't what the technology can do, but how professionals interpret and leverage it. Training human talent doesn't just mean teaching them how to operate AI platforms. It means cultivating the values and skills that allow them to expand AI's potential in a critical, responsible, and creative manner.

The "Human-in-the-Loop" philosophy has gained ground as the guiding paradigm. This approach promotes the idea that automated or AI-assisted processes should always be supervised and enriched by trained humans, ensuring that final decisions reflect sensitivity, context, and ethics. Thus, rather than replacing human work, technology becomes a channel to amplify its most relevant capabilities.

En este escenario, emergen propuestas de desarrollo profesional que entienden el reto de manera integral. Una de ellas es IzyAcademy, la plataforma de formación de Q-Vision Technologies, que se alinea con la necesidad urgente de desarrollar perfiles híbridos: profesionales familiares con la tecnología, pero profundamente humanos en su accionar.

El modelo de IzyAcademy se apoya en tres ejes fundamentales:

1. Formación técnica actualizada en herramientas de IA aplicada y automatización de procesos, con un enfoque práctico y contextualizado.
2. Desarrollo de habilidades humanas superiores, como el pensamiento sistémico, la creatividad transversal o la inteligencia emocional, fundamentales en entornos colaborativos con IA.
3. Compromiso con la ética, la sostenibilidad y el impacto social de la tecnología, preparando a profesionales capaces de canalizar los avances digitales hacia fines verdaderamente transformadores.

Esta visión se conecta con lo que indica LinkedIn en su estudio “Future of Work” (2024): el 64% de los empleadores asegura preferir talentos que combinen comprensión tecnológica con habilidades humanas profundas. Es decir, perfiles que no solo sepan interactuar con la IA, sino guiar su uso hacia soluciones con sentido humano.

In this scenario, professional development proposals that understand the challenge holistically are emerging. One of these is IzyAcademy, Q-Vision Technologies' training platform, which aligns with the urgent need to develop hybrid profiles: professionals who are familiar with technology but profoundly human in their approach.

The IzyAcademy model is built on three fundamental pillars:

• Up-to-date technical training in applied AI tools and process automation, with a practical and contextualized focus.
• Development of superior human skills, such as systems thinking, cross-functional creativity, and emotional intelligence, which are essential in collaborative environments with AI.
• Commitment to ethics, sustainability, and the social impact of technology, preparing professionals capable of channeling digital advances toward truly transformative goals.

This vision connects with the findings of LinkedIn in its “Future of Work” study (2024): 64% of employers state they prefer talent that combines technological understanding with deep human skills. In other words, profiles that not only know how to interact with AI but also guide its use toward solutions with human purpose.

Companies like Google DeepMind have begun integrating philosophers, artists, and psychologists into their multidisciplinary teams to ethically enrich their AI models. A similar trend is happening at Stanford, which has implemented a dual academic program combining computer science with art and humanities, preparing future technology leaders with sensitivity and critical judgment.

In Latin America, Colombia is starting to stand out with experiences like IzyAcademy, which proposes new-generation training for an economy where creativity and ethics will be just as relevant as the ability to operate algorithms.

The real challenge today is not for machines to think like us, but for us to open our minds to a future where the human and the artificial collaborate synergistically. Tomorrow's work will be led by professionals capable of interpreting, questioning, and redirecting artificial intelligence toward meaningful purposes.

At Q-Vision Technologies, through IzyAcademy, we are committed to training professionals who don't just use AI, but who enrich it with vision, humanity, and purpose.

• Diagnose and reduce the gap between human skills and digital capabilities within the organization.

• Invest in internal programs or strategic partners for reskilling, focusing on critical thinking, ethical design, and innovation with AI.
• Establish experimentation spaces where teams can test, fail, and improve new ways of collaborating with emerging technologies.
• Promote a work culture where technology is viewed as an amplifier of human talent, not as its replacement.

Because ultimately, the greatest value of artificial intelligence does not lie in what it can do alone, but in what well-trained human professionals can achieve with it. And that is a future we are already building.