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Adoption of AI Leads to Retraining of 120 Million Workers: IBM

According to IBM In the next three years, as many as 120 million workers in the world’s 12 largest economies may need to be retrained or reskilled as a result of AI and intelligent automation.

The study has included inputs from more than 5,670 global executives in 48 countries, points to compounding challenges that require a fundamental shift in how companies meet and manage changing workforce needs throughout all levels of the enterprise.

The study further finds that 41% CEOs surveyed say that they have the people, skills and resources required to execute their business strategies. According to the global research, the time it takes to close a skills gap through training has increased by more than 10 times in just four years.
Also new skills requirements are rapidly emerging, while other skills are becoming obsolete. In 2016, executives ranked technical core capabilities for STEM and basic computer and software/application skills as the top two most critical skills for employees. In 2018, the top two skills sought were behavioural skills, willingness to be flexible, agile, and adaptable to change and time management skills and ability to prioritize.
“Organizations are facing mounting concerns over the widening skills gap and tightened labor markets with the potential to impact their futures as well as worldwide economies,” said Amy Wright, Managing Partner, IBM Talent & Transformation, IBM. “Yet while executives recognize severity of the problem, half of those surveyed admit that they do not have any skills development strategies in place to address their largest gaps.
And the tactics the study found were most likely to close the skills gap the fastest are the tactics companies are using the least. New strategies are emerging to help companies reskill their people and build the culture of continuous learning required to succeed in the era of AI.”
IBM’s recommendation is to take a holistic approach to closing the skills gap that is focused on reskilling our workforce through development that’s multi-modal, personalized to the individual and built on data. This means creating educational journeys for employees that are personalized to their current experience level, skills, job role and career aspirations.

Further the research says that companies should use analytics and AI to predict and infer what skills are available throughout the organization and transparently share that information with employees to drive a culture of continuous learning. IBM is applying this strategy inside its own walls and regularly providing its own workforce with insight into the most critical skills.

It is also important for companies to close the skills gap brought on by these new technologies, help employees make the shift to partnering with intelligent machines, and address bias in the recruiting and hiring process. True culture change is now driven by new skills and expertise in business created by the advent of intelligent workflows demanding new ways of working in every industry. Business leaders must create dynamic and flexible organizations and teams to enable the ongoing reinvention of work and skills says the research.

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