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"Future Desirable Skills Predicted: A Focus on Humanism-driven Responses"

In the new technological age, soft skills like social influence and keenness will be pivotal for overcoming challenges, according to Rebeca Hwang, Managing Director of Kalei Ventures.

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In a recent statement, Kalei Ventures' managing director Rebeca Hwang emphasizes the importance of...
In a recent statement, Kalei Ventures' managing director Rebeca Hwang emphasizes the importance of soft skills like social influence and curiosity as key components in overcoming the challenges posed by the current technological revolution.

"Future Desirable Skills Predicted: A Focus on Humanism-driven Responses"

In an interview with José Del Rio, general secretary of Redacción, Rebeca Hwang, managing director of Kalei Ventures and correspondent for the medium, discussed the skills and characteristics that will define success in the ever-evolving era of Artificial Intelligence (AI). The discussion took place during the tenth chapter of the Human Resources Summit, organized by our website.

Hwang pointed out the phenomenon of "humanist revenge," stemming from a graph published by the World Economic Forum, indicating that social influence, self-learning, curiosity, and client-attention will be among the most desirable skills of the future. Hwang suggested that programming, mathematics, and computational languages may become less crucial for the job market.

When asked about the essence of talent in current times, Hwang described it as being highly adaptable, inquisitive, and comfortable with uncertainty. This leads to the ability to make informed decisions in tumultuous conditions, with numerous distractions yet still maintaining focus and taking action amidst chaos.

In supporting the new mindset required for leaders to face challenges, Hwang stated that the next century will witness a significant influx of unconventional profiles into the leadership of organizations. She emphasized the importance of understanding psychology and human connections and managing both human and machine talent as key traits for leaders in this new era.

However, Hwang also expressed concerns surrounding mental health issues that advances in AI will bring to companies. She predicted an increase in anxiety among employees whose roles may change significantly due to AI integration and the implementation of AI systems capable of outperforming human counterparts. As a result, fostering cultural sustainability and focusing on employee well-being is essential.

To navigate this altering landscape, Hwang provided tips for the leaders of tomorrow: striking a balance between innovation and stability, swiftly reacting to changes, prioritizing employee mental health, and recruiting a diverse array of unconventional profiles. In closing, she proposed that nurturing deep, enriching human connections at work would contribute to the retention of top talent.

(Source: Victoria Menghini, FuturiaEvents LN, Artificial Intelligence)

Additionally, it is important to note that skills in Machine Learning & AI frameworks like TensorFlow and PyTorch, proficiency in Python and data engineering, knowledge of cloud platforms like AWS and Azure, understanding of prompt engineering and generative AI, and skills in data storytelling and visualization are increasingly in demand[3]. Furthermore, human-AI collaboration, cognitive flexibility and critical thinking, cross-functional problem-solving, and ethical AI & governance knowledge are essential traits for the workforce in the AI era[3].

Leaders must adapt to effectively manage AI-reliant teams, enhance their communication skills to handle human-AI interactions, and ensure ethical AI usage, while maintaining a focus on employee well-being[3, 5]. Companies are challenged to maintain a balance between capitalizing on AI advantages and addressing employee mental health concerns[5].

  1. The desirable skills of the future, as indicated by a graph published by the World Economic Forum, will include social influence, self-learning, curiosity, and client-attention, which are crucial for success in the era of Artificial Intelligence (AI).
  2. In the new era defined by AI, leadership roles will experience an influx of unconventional profiles, with an emphasis on understanding psychology, human connections, and managing both human and machine talent as key traits.
  3. While programming, mathematics, and computational languages may become less crucial for the job market, skills in Machine Learning & AI frameworks like TensorFlow and PyTorch, proficiency in Python and data engineering, knowledge of cloud platforms like AWS and Azure, understanding of prompt engineering and generative AI, and skills in data storytelling and visualization are increasingly in demand.
  4. As AI integration leads to significant changes in roles, mental health issues may arise among employees, necessitating a focus on fostering cultural sustainability, employee well-being, and prioritizing mental health.
  5. For leaders in the AI era, it's essential to achieve a balance between innovation and stability, swiftly react to changes, prioritize employee mental health, and recruit a diverse array of unconventional profiles, while maintaining effective communication skills, ethical AI usage, and fostering deep, enriching human connections at work.

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