3 predictions to help leaders succeed in an AI-driven workforce in 2024

SINCE its conceptualisation in the 1950s, artificial intelligence (AI) has been through phases of awe, scepticism, and exponential growth. Today, it is infiltrating the professional sphere, transforming and reshaping the very fabric of our work lives, revolutionising industries, boosting productivity, and redefining how we collaborate and innovate.

Our data paints a vivid picture of these transformations. There is a noticeable uptick in companies looking for AI talent to enhance productivity, and professionals are rapidly acquiring AI skills to stay ahead.

Through my conversations with colleagues, members, and customers, one thing is clear: AI raises many questions. As a professional and tech leader in Asia, I’ve seen first-hand how we’re navigating a world of increasing economic complexity.

I believe AI is a powerful tool that can help professionals and businesses navigate that complexity and succeed – from eliminating mundane tasks so people can focus on work they find most fulfilling, to serving as a differentiator for organisations. AI is not a replacement for human expertise; rather, it is a co-pilot that can augment our skills.

As we transition from this year to the next, I’d like to highlight three transformative trends that I believe will shape the future world of work.

1) Skills will take centre stage in the age of AI

The skill set for jobs has changed significantly versus a decade ago. With AI accelerating change, professionals can expect skills required for their jobs to transform at a rate faster than before – by 2030, the skill sets required for the average job will have changed by at least 65 per cent.

While companies search for AI-related talent, the importance of skills does not waver. As AI automates many functions, soft skills, which only people can perform, will become increasingly crucial. Accordingly, our data shows that 74 per cent of Australian and 71 per cent of Indian executives value soft skills over AI expertise.

This suggests that AI is not just a tool, but a catalyst that allows professionals to focus on the more meaningful parts of their jobs. For employers, it underscores a shift towards a skills-based approach to hiring and developing talent.

2) Learning intertwines with the future of work

Learning is becoming more flexible and accessible. I see organisations adopting a skills-first approach in talent management, expanding their talent pools and building a more agile workforce.

How will they achieve this? Companies must empower employees to acquire new skills and certifications on the job to continually enhance their value. The surge in the use of LinkedIn Learning, with over 120 hours of content consumed every minute, reflects a growing demand for skill acquisition.

Another big shift we’re seeing in this regard is that employers are also becoming educators – they’re directly providing training to their staff amid changing job requirements and career advancements.

The “train to hire” and “train to promote” models are gaining traction, enabling employees to transition to new roles and even new careers. “Train to hire” includes onboarding, apprenticeships and academies, while “training to promote” involves upskilling and tours of duty that take employees into career growth opportunities.

Similarly, professionals today are realising the key to staying relevant in a fast-changing world. Next year will see professionals navigating a world of work that is more human than before, where soft skills such as communication and problem-solving will become increasingly prized, apart from AI expertise. We have seen a nearly 80 per cent increase in members watching AI-related learning courses, while members on LinkedIn have added over 595 million skills to their profiles over the past year alone.

3) Adaptive leadership to win in the new world of work

AI-driven changes to the workplace as we know it call for agile and insightful leadership. Leaders must cultivate a resilient, flexible, and adaptable culture in their spheres of influence to take on the challenges and opportunities that AI has to offer.

If this is done well, AI will enhance collaboration by breaking down barriers such as language and knowledge gaps. LinkedIn’s Learning AI-powered Coaching exemplifies this, offering personalised career guidance based on expert insights. Such AI tools not only enhance the learning experience, but also play a crucial role in building a workforce that is agile and an organisational culture that embraces change and AI-adoption for continuous growth and success.

In a world of increasing economic complexity, organisations with adaptable leaders and a growth-minded culture will not only adapt to changes but thrive in them. This means that leaders must view generative AI as an opportunity that can help their workforce do their jobs more effectively.

As we step into 2024, AI will integrate further into our professional landscape, becoming more than a tool. Embracing the changes that generative AI brings is a necessity to unlock the full potential of the future of work.

Feon Ang is Apac managing director at LinkedIn