AI Skills Now Top Global Talent Shortage
Demand for artificial intelligence skills has overtaken engineering and traditional IT as the most sought-after capability by employers globally. A ManpowerGroup survey of 39,000 employers across 41 countries found that 72% report difficulty filling roles, with AI expertise now being the primary driver of the talent shortage for the first time.
- The global AI chip market is projected to grow from $31.6 billion to over $846 billion by 2035, with inference-related functions expected to hold the majority of the market share. Computer vision applications currently account for over 30% of the AI chip market. - A critical disconnect exists between executives and employees regarding AI adoption; while 94% of CEOs prioritize AI skills, only 35% feel they have adequately prepared their workforce, leading to an estimated $5.5 trillion in lost productivity globally. - Hyperscalers like Google, Amazon, and Meta are increasingly developing custom silicon (e.g., Google's TPU v7, Meta's MTIA v3) to reduce operating costs and dependency on third-party chipmakers for their AI workloads. This "build vs. buy" trend is driven by the need to optimize for specific internal models and reduce the total cost of ownership at a massive scale. - Venture capital investment in AI startups surged by 72% in 2025, reaching $270.2 billion and accounting for over half of all VC funding for the first time. Notable mega-deals included SoftBank's $40 billion investment in OpenAI and Thinking Machine Labs' $2 billion seed round. - In go-to-market strategies, AI is being used to automate lead scoring, personalize messaging, and analyze market signals from sales conversations and customer data. Startups using AI in their GTM strategies report 35% higher win rates and a 25% reduction in customer acquisition costs. - While GPUs remain dominant, Application-Specific Integrated Circuits (ASICs) are projected to capture a 40% market share by 2025 due to their superior performance-per-watt for targeted workloads in cloud data centers. - The most in-demand AI skills include data analysis, data visualization, and cloud computing, with proficiency in programming languages like Python being a foundational requirement. Beyond technical skills, employers are prioritizing "human-centric" skills like analytical and creative thinking to complement AI's capabilities. - The roles of sales development representatives and account executives are evolving as AI agents begin to handle tasks like lead nurturing and meeting scheduling, allowing human teams to focus on higher-value engagement. This shift is leading to technical roles, like engineers, becoming more embedded in the GTM process.
