LinkedIn released a report on the most in-demand skills in 2024, pointing out that in the era of artificial intelligence, the importance of soft skills such as communication, adaptability, customer service and leadership is becoming increasingly prominent. The report is based on data analysis of LinkedIn's 100 million members worldwide, showing that in the past 12 months, members have added 680 million skills to their profiles, an increase of 80% year-on-year. The report emphasizes that in the context of the rapid development of artificial intelligence, continuously improving employees' soft skills is crucial to the career development of enterprises and individuals.
In the AI era, the balance between soft skills and hard skills is key. AI can process large amounts of data and perform repetitive tasks, but soft skills such as communication, collaboration and critical thinking are unique advantages of humans. We should think more about how to keep its unique value in the AI era by designing more creative and strategic work content, letting AI take charge of process-based and repetitive tasks, while improving the decision-making, interpersonal and critical thinking skills of human workers. **Lifelong learning, lifelong learning, lifelong learning! **Continuously update and expand your skill set, especially those soft skills that are not easily replaced by AI, such as communication, leadership and problem-solving skills, to maintain professional competitiveness.
Next, let's think about how we should build our personal skill tree in the AI era
- Communication skills: In the AI era, the challenge of communication skills is how to cross the digital divide, while the opportunity is to build a more efficient and diversified communication network to promote cross-cultural understanding and teamwork.
- Customer service: The development of AI may erode traditional customer service positions, but it also provides new service models. We can seize the opportunity to combine AI technology to improve service quality and customer satisfaction.
- Leadership: The challenge of leadership is how to maintain team cohesion with the assistance of AI, while the opportunity is to cultivate leaders' innovation and adaptability to change and lead the team to achieve results.
- Project management: The key to project management in the AI era is how to use AI tools to optimize processes. AI can establish team management processes more efficiently, which is conducive to improving the strategic thinking and teamwork capabilities of project managers.
- Management: The management changes brought about by AI are a great test for managers' decision-making ability and leadership. The crisis is that management skills may become obsolete due to AI automation. Only by continuously improving interpersonal management capabilities and strategic thinking can we adapt to the dynamic management environment and promote innovation and development of enterprises.
- Data analysis: The challenge of data analysis is how to ensure the accuracy and reliability of data, while its opportunity is to gain insight into market trends through data analysis and provide strong support for corporate decision-making.
- Teamwork: AI may exacerbate team barriers, but on the other hand, it can also strengthen cross-functional team collaboration and promote knowledge sharing and innovation. Managers should think about how to break down information barriers, build an open and inclusive team culture, and improve the overall team collaboration efficiency.
- Sales: The traditional sales model may become ineffective due to AI. Perhaps we should think about how to respond to market changes brought about by AI and avoid repeated sales without emotional value. At the same time, AI technology can also accurately locate customers and improve sales conversion rates.
- Problem solving: The problems in the AI era are complex and changeable. Leaders and employees will face more new challenges. Teams need to develop critical thinking and strategic planning capabilities to cope with changes.
- Research: The crisis is that over-reliance on AI may lead to a lack of independent thinking and how to ensure the objectivity and accuracy of research results. The opportunity lies in improving research skills, maintaining critical and creative thinking, and using AI technology to broaden research areas and advance the knowledge base data of individuals and teams.