Something was missing. So we didn't hire that person...
Sounds familiar? Some companies whinged that there's a limited number of Asia-based university graduates with real-world, practical Big Data and AI skills. This has a huge impact on hiring the right AI talent, leading to challenges for companies looking to improve using AI strategies in Asia.
Tight Talent Pool:
With a lower number of these Business+digital savvy graduates, the pool of available AI talent is reduced, creating a tighter labor market. This leads to increased hiring competition among employers for the available candidates, potentially(most likely) driving up salaries and benefits to attract the best candidates. (also, intense competition for talent will shorten the interview process, which could be good or bad)
Skills Mismatch:
If the graduates produced by universities do not have the robust data analysis skills, business acumen and technical AI skills that employers are looking for, this skills mismatch can result in graduates being underemployed or unemployed. Employers struggle to find suitable candidates for AI-related roles.
In conclusion, skills mismatches and challenges to adapt to changes caused by AI innovations can be crucial for sustainable growth of companies. After all, AI is everything now. (until the next level when GenAI becomes sentient...)
"Success breeds complacency. Complacency breeds failure. Only the paranoid survive." - Andy Grove, ex-CEO of INTEL
