AI and Employment: From Fear to Strategy

Web Editor

October 6, 2025

a man sitting in a chair with a laptop in front of him and a robot behind him, both of which are wea

The Shift from Alarmist Views to Strategic Approaches

Recently, I had the privilege of participating in Foro Prosa, one of Mexico’s most significant Fintech and digital payments ecosystem gatherings. The inevitable conversation revolved around artificial intelligence (AI), leaving me impressed by its applications and the expectations of AI improving human life in multiple ways.

From Alarmist Views to a More Nuanced Perspective

For months, public discussions about AI have been filled with alarmist headlines such as “AI will eliminate millions of jobs.” However, recent data paint a more nuanced picture. According to the World Economic Forum (WEF), 83% of companies plan to automate parts of their processes, while 69% expect to create new roles derived from this transformation. The crucial question is not whether changes will occur, but how human capital leaders can turn them into advantages.

The True Challenge: Reskilling and Upskilling

Adopting technology is only part of the challenge; redefining skills is equally important. Reskilling and upskilling programs enable employees to transition from repetitive tasks to higher-value activities like analysis, experience design, and strategic decision-making. IBM’s study reveals that companies investing in AI generative training report a 20% increase in productivity and better talent retention, demonstrating that training is not an expense but a performance multiplier.

An Opportunity to Redefine Roles

AI not only automates tasks but also creates new jobs such as prompt architects, ethical data analysts, and human-machine interaction specialists. This necessitates a review of job descriptions, compensation schemes, and evaluation models by human capital departments. The goal is to align incentives with the new skills demanded by the market.

Four Steps to Leverage AI Potential

  1. Diagnosis: Identify critical processes, roles, and skills that will be impacted.
  2. Transition Plan: Define measurable training goals, combining internal training and partnerships with educational institutions.
  3. Ethical Governance: Ensure responsible data and algorithm use, guaranteeing fairness and transparency.
  4. Cultural Change: Foster an open mindset towards innovation and collaboration between humans and technology. This involves visible leadership, consistent communication, and policies recognizing continuous learning as part of corporate culture.

This proactive approach prevents fragmented technology implementation without business strategy alignment.

The Human Factor as a Competitive Advantage

Integrating AI into daily processes can free up time for teams to focus on creativity, innovation, and customer relationships. Simultaneously, organizations must strengthen socioemotional competencies such as critical thinking, communication, and collaborative leadership.

Companies that successfully blend technology and human factors will not only boost productivity but also enhance their reputation as responsible employers. AI is not a replacement for people; it’s a multiplier of talent. Companies investing in continuous learning and role redefinition will transform fear into a sustainable competitive advantage.

The Future of Work: Humans and Machines Collaborating

The future of work is no longer about humans versus machines but about humans and machines working together to create. Those who understand this synergy will stop fearing AI and instead leverage it as a growth catalyst. Are you ready to embrace this change?

Key Questions and Answers

  • Q: What is the current perspective on AI’s impact on employment? A: The discussion has shifted from alarmist views to a more strategic approach, focusing on how talent can adapt through role redefinition, skill development, and synergy between humans and technology.
  • Q: How can organizations effectively respond to AI-driven changes? A: By adopting a proactive approach involving diagnosis, transition planning, ethical governance, and cultural change.
  • Q: What new roles has AI created? A: Jobs such as prompt architects, ethical data analysts, and human-machine interaction specialists have emerged due to AI integration.
  • Q: Why is continuous learning crucial in the age of AI? A: Continuous learning enables employees to transition from repetitive tasks to higher-value activities, increasing productivity and talent retention.
  • Q: How does AI impact the human factor in the workplace? A: AI can free up time for teams to focus on creativity, innovation, and customer relationships while requiring organizations to strengthen socioemotional competencies.