A survey among 800 C-suite executives in July 2023 revealed a concerning possibility: nearly half of their employees' skills might become obsolete within two years. Leaders expressed concern that 47% of employees are not prepared for the future of work.

The future of work largely hinges on employees upgrading their digital skills to keep pace with evolving technologies. To future-proof themselves, they must focus on four key areas: work, workforce, workplace, and enterprise. The constant evolution of technology is leading to skill disruptions and new skill clusters, compelling organisations to reevaluate roles and skills.

However, enabling this transition is challenging, given the swift rate of skill redundancy. In early 2023, an expert reported that 37% of skills in the average job had been replaced over the preceding five years. Embracing lifelong learning becomes essential in this scenario. Organisations must foster a culture where learning is a perpetual journey, and each employee adopts a mindset of continuous learning, adapting to technological advancements.

Continuous learning and the power of self-directed growth

Continuous or ‘lifelong’ learning is about acquiring knowledge and skills in response to emerging needs, trends, and challenges. Unlike traditional training with a fixed timetable and curriculum, continuous learning happens on the job, allowing employees to learn at their own pace. It empowers individuals to manage their learning process, ensuring learning is uninterrupted and on-demand.

The AI factor in learning

Artificial intelligence is a major catalyst for continuous learning. With the advent of enterprise learning management systems, organisations gained access to standardised content and defined learning paths. AI now democratizes access to knowledge by tailoring learning experiences in real-time, addressing each employee's unique needs. By adapting training programs based on individual progress, AI enables dynamic, contextual learning.

AI also integrates learning within work processes, delivering support just-in-time. For example, when a developer faces a coding challenge, AI can automatically trigger a bot to assist. Advanced AI-enabled platforms, like ours, can engage learners continuously, thus enhancing learning retention and motivation. AI uses gamification to transform traditionally dull subjects, like compliance training, into interactive, enjoyable experiences with points, leaderboards, and recognition.

Building AI skills internally

In a landscape where organisations compete for AI talent, building AI skills internally offers a strategic advantage. According to the survey mentioned, 87% of leaders struggle to find AI-skilled individuals. As AI becomes embedded across industries, having a basic understanding of AI will be a prerequisite for employability. Organisations need a comprehensive skill role framework and tailored programs to foster AI awareness and skills across all levels.

Institutionalising knowledge management for a sustainable learning culture

Managing AI knowledge is as crucial as building AI skills. Many organisations face challenges with knowledge management, where valuable insights remain siloed and underutilised. Knowledge that isn't documented is often duplicated or lost when employees leave. The Infosys Knowledge Management Framework supports robust knowledge practices, enabling enterprises to institutionalise knowledge and enhance their learning culture.

Whether as a skill in itself or as an enabler, AI is now integral to the learning process in enterprises. The ability to adapt and learn continuously will be the key to thriving in the digital age. Lifelong learners who embrace AI’s transformative power will be best prepared for the future.