As technology continues to evolve, companies around the world are adjusting their strategies to train their workforce effectively. To stay competitive, enhancing workers’ skills, specifically in Artificial Intelligence (AI), is becoming increasingly important. Corporations are beginning to see ‘AI upskilling’ as a fundamental mandate in shaping their Learning and Development (L&D) programs.
Why is AI upskilling necessary?
Artificial Intelligence applications are advancing rapidly. The core functions of various industries are being transformed through processes such as automation and machine learning. Many specialists believe that by 2030, nearly half of all jobs will incorporate some form of AI. This means businesses must ensure their employees are equipped with the necessary skills to work productively alongside these technologies.
Recent reports only reinforce this trend. According to global advisory and audit network, RSM, over 37% of business leaders confirmed a lack of appropriate skillset is a significant barrier to AI adoption. Furthermore, the online learning platform, Coursera, reported in its 2020 Global Skills Index that among business, technology, and data science skills, two-thirds of the world is behind in essential skills implying a global skills gap.
This skills gap underlines the urgency for AI upskilling. Corporate leaders express increasing concerns that their workforces might lack the required expertise to embrace new technologies. However, traditional L&D strategies might not be enough in closing this gap.
Building AI-centric L&D Strategies
Commencing a journey towards AI upskilling means transforming the shape of L&D within an organization. Enterprises should start by understanding their skills gap, followed by designing an applicable learning curriculum dedicated to data literacy, machine learning, natural language processing, and other AI-driven skills.
In addition, L&D strategies must focus on fostering a growth mindset among employees, encouraging them to adapt to the fast-paced evolution of AI technologies. Employee reservation, fueled by fears of job redundancy due to AI, must be addressed and navigated by leadership.
Companies such as Amazon show the way with a $700 million upskilling initiative aimed at training 100,000 employees to manage the potential impact of automation and AI on the workforce. IBM, with its SkillsBuild platform, is extending digital learning credentials in AI, cloud, and data analytics to cater to technology’s growing demands.
Online Coverage of AI Upskilling
The impact of AI upskilling efforts has started to be reflected in several online platforms. LinkedIn, one of the world’s largest professional networks functionally incorporating AI, recently published a 2021 Workplace Learning Report identifying a massive 307% increase in the time spent learning data science skills. EdTech platforms, such as Coursera, Udacity, and edX, have reported a surge in enrolments for AI and machine learning courses since the pandemic.
A large part of this demand is driven by companies encouraging employees for AI upskilling. Organizations are providing resources and incentives to drive AI proficiency, and they are partnering with universities and online platforms to develop professional certifications in AI.
Key Considerations for AI Upskilling
While the AI upskilling mandate is clear, implementing it effectively will require a careful balance. Companies must avoid focusing solely on technical competencies, as soft skills such as critical thinking and emotional intelligence remain vitally important, especially in the era of AI. Furthermore, diverse learning platforms and opportunities should be considered, offering employees various ways to upskill at their own pace.
In conclusion, upskilling workers in AI is no longer a futuristic notion but an immediate need reflecting on corporate strategies worldwide. As businesses navigate the complexities of the AI era, proactive L&D strategies focusing on AI skills are imperative to ensuring a competitive, agile, and future-ready workforce.
