The traditional concept of work is no longer relevant in today’s rapidly evolving landscape, characterized by remote and hybrid work, emerging technologies, and a range of socioeconomic factors. To navigate this shift and prepare for the jobs of the future, organizations must embrace a skills-based approach to talent management, powered by AI and ML.
The rise of skills-based organizations will be a key driver of success in this new reality. This approach enables organizations to hire and retain the right talent, as well as upskill existing employees to meet the demands of a digital world. According to a recent study by Amazon and Workplace Intelligence, almost 80% of US employees are concerned that they lack the skills necessary for the jobs of the future, while 58% believe their skills have become outdated since the pandemic.
Shift the Way You Think About Talent
To stay competitive, organizations must view work as a compilation of fluid skills, rather than a set of rigid job roles and responsibilities. This mindset shift fosters agility and adaptability, enabling organizations to respond quickly to change and remain competitive.
AI and ML are fundamental to delivering a successful skills-based approach. These technologies can help organizations automate processes, provide insights and predictions, and align skills with job requirements. For example, consulting firm Booz Allen Hamilton has highlighted the potential of AI to uncover previously unseen skill matches, enhance access to internal job opportunities, and tap into a more diverse talent pool.
Support Smart Policy
At GITS, we have developed Career Hub, a tool that enables employees to share their skills and interests and receive personalized recommendations for career development. Using ML, Career Hub offers suggestions for building skills and creating career development plans. This approach supports the employee experience, encouraging internal mobility and advancement, and contributing to overall business success.
To ensure progress towards a skills-based workforce, organizations must also support smart policies that embrace responsible approaches to AI and ML. By involving all stakeholders in policy discussions, including the companies developing these technologies, businesses can prepare for the future of work while upholding ethical principles. At GITS, we prioritize putting people first when developing and utilizing AI and ML technologies.
In conclusion, a skills-based approach to talent management, supported by AI and ML, is essential for organizations to create the jobs of tomorrow. By embracing this approach, organizations can hire and retain the right talent, upskill their workforce, and remain competitive in a rapidly evolving landscape. Additionally, by supporting smart policies, organizations can ensure that AI and ML technologies drive progress and opportunity for all.
