Insights & perspectives on modern recruitment

The Number That Should Change How You Brief Every Role

Two pieces of data landed this week that, taken together, tell a sharper story than either does alone. Robert Half's 2027 Salary Guide, published on 1 October, found that

57% of managers are now offering higher-than-planned salaries to attract new talent, citing specialized skills as the top reason.

And buried inside that finding is the detail that matters most to recruiters:

72% of those managers are increasing pay specifically for relevant AI skills, with 42% offering more for AI-related expertise than for any other technical skills.

This is not a niche engineering story.

Lightcast found that 51% of job postings requiring AI skills now sit outside IT and computer-science occupations, with marketing, human resources, finance, and operations all hiring for AI fluency, often with no coding requirement at all.

The wage premium has gone cross-functional, and that changes what a good candidate brief looks like.

Why the Premium Exists, and Why It Is Growing

The underlying reason is supply and demand operating at an unusual pace.

AI job postings in the U.S. have doubled since 2023, according to a LinkedIn analysis from earlier this year.

Demand is compounding faster than the talent pool can keep up.

According to the Stanford AI Index 2026, AI skills appeared in 2.5% of all U.S. job postings, up 55% year over year and 297% compared with a decade earlier, while mentions of "agentic AI" increased by more than 280% in a single year.

The skills carrying the premium are also more nuanced than a line on a CV.

Lightcast found that postings asking for two or more AI skills carried a 43% salary premium, well above the 28% average for a single AI skill, which signals that depth pays more than breadth.

The implication is that a candidate who has genuinely embedded AI tools into a workflow is worth materially more than one who has simply listed "ChatGPT" under skills.

There is also a tension developing inside organisations that recruiters need to understand.

Nearly a quarter of employers view AI fluency as a baseline skill unworthy of extra pay, while more than half of workers expect higher wages for it, and new hires with AI skills are commanding 20% to 40% premiums that are fuelling resentment among upskilled existing staff.

That internal friction is a client problem waiting to happen, and the recruiters who flag it early are the ones who earn a strategic advisory role.

The Candidate Conversation Has to Change

If the market is paying a premium for AI depth, then the standard candidate assessment is already behind. Most intake calls still focus on years of experience, sector background, and technical credentials. Very few systematically probe for the specific AI fluency that commands a premium today.

PwC's 2026 Global AI Jobs Barometer reports that the new tasks added to AI-exposed jobs are 2.5 times more likely to require human skills such as empathy, judgment, and creativity.

That finding reframes what an AI-capable candidate actually looks like: not someone who replaced human thinking with a model, but someone who knows exactly where to apply each one. Asking candidates how they use AI tools in practice, what decisions they still make manually and why, and how they quality-check automated outputs separates the genuinely skilled from the CV-optimised.

As Robert Half's operational president Dawn Fay put it, "employers are willing to offer higher pay for professionals who understand where AI can add value, can integrate it into day-to-day processes, and can apply it responsibly to solve real business challenges."

That is a three-part test, and it is worth building into every conversation with a candidate in an AI-adjacent role.

What It Means for Offer Negotiations

The compensation data also creates a practical problem at the offer stage. Clients briefed on market rates six months ago are working with outdated anchors.

64% of managers say job offers are more competitive than they were three years ago,

and that movement has not been evenly distributed across role types. AI-skilled candidates are sitting in a seller's market that many hiring managers have not fully priced in.

Recruiters who go into offer negotiations armed with current benchmarks by skill depth, not just role title, are significantly better placed. A candidate with two or more demonstrable AI competencies is not the same hire as one with passing familiarity, and the salary data now supports making that case explicitly to clients. That is a conversation that builds trust and prevents the kind of lost-offer situations that waste everyone's time.

Tools that make candidate profiles sharper and more shareable, like the interactive digital profiles Floats produces from legacy CVs, make it easier to surface that skill depth visibly before negotiations begin, rather than buried in a PDF that a hiring manager reads once.

The Window to Lead on This Is Now

The pay gap between AI-fluent and AI-adjacent candidates will not stay this wide forever. As fluency becomes more common, premiums will normalise. But right now, recruiters who can reliably identify, articulate, and place candidates with genuine AI depth are solving a problem clients feel acutely and cannot solve well on their own.

The firms that build that capability now, updating their intake processes, sharpening their candidate assessment questions, and briefing clients with current compensation data, will have a durable edge before the window closes. That is not a distant strategic ambition. It is a practical step available this week.