TechWolf, a workforce intelligence company, has released its Workforce Intelligence Index, analyzing over two billion global job postings from 2015 to 2025. The Index reveals that only 18 percent of tasks are fully automatable by AI, while 62 percent remain human-driven, and 38 percent face significant AI disruption. This data underscores the need for enterprises to focus on reskilling to build resilient, AI-ready workforces, particularly in the Fortune 500 technology sector, where 75 percent of workers have untapped upskilling potential.
TechWolf’s Index analyzes two billion job postings from 2015–2025.
Only 18% of tasks are fully automatable; 62% remain human-driven.
38% of tasks face AI disruption, combining automatable and augmentable tasks.
75% of Fortune 500 tech workers have potential for upskilling or reskilling.
Reskilling boosts retention, productivity, and long-term competitiveness.
Engineering roles show high potential for AI augmentation, not replacement.
Layoffs may offer short-term cost savings but often harm innovation, morale, and long-term performance. The Society for Human Resource Management highlights that upskilling is a strategic investment, improving retention and productivity. “Layoffs may please investors for a quarter, but they weaken companies for years,” said Mikaël Wornoo, Founder and President of TechWolf. “The smarter move is reskilling. It keeps knowledge inside the business, strengthens culture, and delivers sustainable growth in the AI era.” By leveraging workforce intelligence, companies can avoid costly layoffs and retain critical expertise.
TechWolf’s Index challenges the narrative of widespread job losses due to AI. While 38 percent of tasks face disruption, the majority remain human-centric, offering opportunities for augmentation. For instance, SHRM’s Q1 2025 Civility Index notes that employees at companies with layoffs reported 67 percent more acts of incivility, highlighting the negative impact on workplace culture. Workforce intelligence tools provide data-driven insights, enabling businesses to invest in upskilling and strategic planning to capture productivity gains and maintain competitiveness.
Contrary to fears of automation replacing engineers, TechWolf’s data shows engineering roles, particularly in Fortune 500 tech firms like Microsoft (86% upskilling potential), IBM (85%), and Apple (75%), are prime for AI augmentation. AI tools enhance code quality and product velocity, allowing engineers to focus on higher-value tasks like architecture and innovation. “It’s clear that AI causes a significant workforce transformation at high speed,” Wornoo added. Reskilling engineers to master AI-driven tools ensures companies retain talent and stay leaders in innovation.
The Index covers 1,500 public companies across multiple sectors, revealing varied AI impacts:
Healthcare: 62% of companies require upskilling to leverage AI in diagnostics and workflows, with 33% facing significant disruption.
Retail and Consumer Goods: 68% need upskilling to enhance customer engagement and data-driven decisions, with 31% facing AI disruption.
Technology: 75% require upskilling, with 45% facing significant AI-driven changes, particularly in roles like software development and marketing.
These findings highlight the need for sector-specific reskilling strategies to address AI’s unique impact on each industry, from healthcare diagnostics to retail operations and tech innovation.
TechWolf’s Workforce Intelligence Index offers a roadmap for enterprises to navigate AI transformation. By prioritizing reskilling over layoffs, companies can retain talent, boost productivity, and position themselves for long-term success in an AI-driven world. For more details, visit TechWolf’s website.
TechWolf exists to help people flourish at work by helping large enterprises put people at the center in the AI era. To achieve this, TechWolf functions as the foundational data layer for workforce transformation. It's an AI-driven solution focused on one mission: connecting jobs, tasks, and skills data to provide deep workforce intelligence for large enterprises in transformation. Doing so, it enables smarter, data-backed business decisions and revolutionizes how these companies manage their workforce.
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