Dive Brief:
- Enterprises have increased hiring for people with AI governance expertise as adoption of the technology unfolds, according to data from enterprise talent intelligence firm Draup. The company reviewed Fortune 500 hiring posts alongside its proprietary data for the Tuesday report.
- Hiring for AI governance and model risk skills increased 81% year over year, the report found. Demand for workers with cost optimization and margin protection skills increased by 77% from 2024, according to the report.
- The world’s largest companies also saw an uptick in interest for AI skills outside IT. AI skill requirements increased nearly 25% for customer support roles compared with last year, in addition to a 24% uptick in sales and marketing, and 21% in financial operations.
Dive Insight:
AI upended hiring strategies across large businesses, placing whole categories of jobs in question while creating anxiety for employees and job seekers alike.
Now, hiring data is beginning to reflect the broader effects of automation as companies shift their skills priorities. Fortune 500 job postings for finance roles in what Draup identifies as having “high AI augmentation potential” fell 40% from last year, compared with more modest single-digit declines in roles with less AI exposure.
With enterprise AI integration underway, leaders at top enterprises are focusing on execution rather than hierarchy when designing new models for work, said Vijay Swaminathan, CEO and co-founder of Draup.
“Skills are expanding, roles are consolidating and operators of AI are in demand,” said Swaminathan in a Tuesday press release. “Efficiency, governance, and resilience now anchor growth strategies.”
With AI systems more embedded in daily operations, interest in AI governance is rising amid concerns over wasted spend, shadow AI and cyber risk.
Nearly half of employees are using unsanctioned generative AI tools through personal devices, a trend that highlights the risk of sensitive data exposure, according to Netskope research. Even systems visible to IT that are using AI can introduce risk, according to Zscaler, which found most AI apps were vulnerable to adversarial activity.
Although leaders have amplified upskilling to bridge AI skills gaps, the rapid pace of technology development is hindering efforts.
IT workers now see their core tasks change every year and half, Info-Tech Research Group found. But training isn’t keeping pace, causing a delay in utilizing the skills enterprises need now, according to the research firm.
