The focus of the story is
on the widening skills gap which is predicted to result in a global shortage of over 85 million workers by 2030, leading to an estimated loss of $8.5 trillion annually.
Traditional skill assessments are falling short in predicting future workforce demands, leaving employees and organizations vulnerable to rapid technological changes.
While
57% of C-suite executives want their companies to provide necessary AI training, only
6% of companies have trained more than a quarter of their employees on AI tools.
This challenge highlights the need for innovative assessments that combine data science and practical observation to better understand individual capabilities and shape effective HR strategies.
“Companies need to rethink how to assess workforce skills. The conventional approach is limited, reflecting tomorrow’s needs with today’s competencies,” states Julia Grace Samoylenko, Founder and CEO of Stellanar.
Organizations must address this urgent issue by implementing AI to analyze current skills and predict future needs.
Adopting cutting-edge training programs that are both comprehensive and adaptable, ensures that employees are not only equipped with the necessary skills for today but are also prepared for future advancements.
Stellanar has introduced an innovative platform that utilizes AI to tailor training programs to the specific needs of each employee, maximizing learning efficiency and effectiveness.
- Continuous Assessment and Feedback: The platform provides ongoing assessments to adapt training modules in real-time, ensuring that learning is always aligned with the latest technological trends.
- Scalability: Designed to be scalable, Stellanar’s solution can be deployed across various industries and organizations of all sizes, making it accessible to a broad audience.
“Companies that invest in such forward-thinking training solutions are more likely to stay competitive and reap the benefits of AI integration,” concludes Samoylenko.
Julia Grace Samoylenko can further explain how AI-integrated training solutions can enhance individual career prospects and drive organizational growth and innovation. Here are a few questions you could ask:
- Why are traditional skill assessments failing to keep pace with the demands of emerging technologies?
- What challenges do C-suite executives face in implementing effective AI training initiatives within their organizations?
- What role does data analytics play in tailoring training content for HR leaders to meet specific employee needs?
- What are the primary skills or competencies that AI-driven training platforms can develop or enhance?
- How can AI-integrated training solutions help navigate the challenge of balancing current skills with future-proof capabilities through their training approach?
About Stellanar:
In an era of rapid technological change and evolving job markets, Julia Grace Samoylenko launched Stellanar from Palo Alto, California, tackling key corporate challenges like inefficient talent use and high employee turnover. With over a decade of Fortune 500 experience, she leads Stellanar in harnessing large language models to analyze digital traces of employee activity, turning chaotic HR data into strategic skill insights. This innovative method not only anticipates the needs of tomorrow's workforce—echoing the World Economic Forum's call for reskilling half the global workforce by 2025—but also positions Stellanar as a leader in the skills-centric talent revolution. By transforming how skills are identified and nurtured, Stellanar empowers organizations worldwide to adapt, innovate, and thrive, ensuring that every worker has the opportunity to grow and thrive in the face of change, thus driving global economic growth. Learn more about how
they are pioneering the skills-centric talent revolution at
https://stellanar.com
