AI Proficiency Is Now a Baseline Job Requirement, Not a Specialty Skill

Quick Facts

• 77% of UK organizations expect AI proficiency to become a baseline requirement across most non-technical roles within the next year.
• US job postings requiring AI skills grew 144% year over year as of April 2026, per the Bipartisan Policy Center’s AI Skills Dashboard.
• The average wage premium for workers with AI skills hit 62% in 2026, up from 57% last year, according to PwC’s Global AI Jobs Barometer.

AI skills are no longer a specialty. Employers across industries now treat them as table stakes, and the data shows that workers who lack them are already falling behind on pay, promotions, and hiring prospects.

People-management software company HiBob released its AI Skills Framework and AI Skills Assessment Guide on July 23, 2026. The assessment guide draws on surveys of 1,200 business and people leaders and identifies a sharp gap between what employers expect and what workers currently deliver.

According to TechRadar’s reporting on the release, three in four UK organizations expect AI proficiency to be a baseline requirement across most non-technical roles within 12 months. In the US, the Stanford HAI 2026 AI Index found AI-related skills appear in 2.5% of all job postings, a 297% increase over the past decade.

Beyond the IT Department

AI skills are spreading well outside engineering teams. More than half of AI-related job postings, 51%, are for roles outside IT and computer science, according to the HiBob report. Solutions architects, product managers, and enterprise architects now represent significant portions of demand.

NACE’s Job Outlook 2026 Spring Update found that more than one-third of entry-level jobs now require AI skills. That figure is nearly triple what employers reported in fall 2025. Mentions of AI in general job listings rose 114.8% in 2023, 120.6% in 2024, and 56.1% year to date in 2025, based on an analysis of nearly 3 million postings.

McKinsey’s latest workforce research puts it in starker terms. The number of workers in roles where AI fluency is explicitly required grew from roughly 1 million in 2023 to around 7 million in 2025, a sevenfold increase in two years.

Pay and Promotions Now Tied to AI Proficiency

The financial stakes are rising. PwC’s 2026 Global AI Jobs Barometer found the average wage premium for AI-skilled workers reached 62%, with some sectors like consumer markets seeing premiums as high as 118%. Among employers, 97% said they would offer higher salaries to attract candidates with in-demand AI skills.

In the UK, 63% of businesses now link AI capabilities to promotion decisions. Another 61% include AI proficiency in regular performance reviews, and 31% tie AI skills directly to pay determinations.

HiBob CEO Ronni Zehavi put the organizational challenge plainly. “Too many organizations are still trying to manage a changing workforce with disconnected systems and fragmented skills data,” he said. “That is the wrong model for the AI era. The winners in the AI era will be the organizations that can define a shared language of skills, identify where capability truly sits, and pivot talent to where it creates the most value.”

The Productivity Gap Is Getting Expensive

IDC projects that more than 90% of enterprises will face critical AI skills shortages in 2026. That gap represents an estimated $5.5 trillion in unrealized productivity. Despite heavy investment in AI platforms, only 29% of organizations report significant ROI from generative AI, according to a Writer enterprise survey.

Deloitte’s State of AI in the Enterprise 2026 report found that insufficient worker skills rank as the top obstacle to integrating AI into existing workflows, ahead of budget constraints, technology limitations, and leadership skepticism.

PwC’s Global Chief AI Officer Joe Atkinson described where the returns are actually materializing. “The companies seeing the greatest returns on AI are using it to amplify human expertise, accelerate innovation and create entirely new sources of value,” he said.

BCG research offers a concrete benchmark. Organizations with formal AI training programs achieve 2.3 times faster AI adoption and 67% higher AI ROI compared to those without structured programs. The question of who pays for that training, employer or employee, remains unsettled, with HiBob’s own data showing near-identical splits between organizations investing in upskilling and those placing the burden on individual workers.

Read more: ‘That is the wrong model for the AI era’: Employers now expect basic AI skills from all workers