AI Skills Now Top Talent Shortage
For the first time, artificial intelligence and machine learning skills have become the most in-demand capabilities globally, overtaking engineering and traditional IT roles. A ManpowerGroup survey of 39,000 employers across 41 countries reveals that 72% report difficulty filling roles, signaling a significant shift in the global talent landscape.
- In the Asia Pacific and Middle East region, the most difficult-to-find AI competencies are "AI Model & Application Development" and "AI Literacy," which have pushed traditional IT and data skills to sixth place. - The demand for AI-related skills on freelance platform Upwork more than doubled year-over-year, with AI video generation and editing growing the fastest at 329%, indicating a shift toward applying AI in creative production. - Beyond technical prowess in languages like Python and frameworks like TensorFlow, employers are increasingly seeking soft skills like communication, teamwork, and critical thinking to ensure AI is implemented effectively. - The industries reporting the most difficulty in finding talent are Healthcare & Life Sciences (77%), Energy & Utilities (76%), and Information Technology (76%). - Workers who possess AI skills can command a wage premium of up to 56% compared to their counterparts in the same job without those skills. - The demand for AI talent is rapidly out-pacing supply from traditional education; in the U.S., higher education institutions are meeting only a fraction of the demand for AI skills training, with the vast majority of learners using independent online resources. - Specific in-demand roles include machine learning engineers, data scientists, natural language processing (NLP) engineers, and computer vision engineers. - The global AI market is projected to grow from $189 billion in 2023 to $4.8 trillion by 2033, a 25-fold increase that will continue to fuel the demand for skilled professionals.
