How Is AI Changing Hiring and Headcount in 2026?

AI is affecting hiring plans before it is showing up as measurable layoffs. In Open Future Forum's September 2026 finance data, 21 percent of 290 respondents say AI is being funded with money that otherwise would have gone to headcount. That rises to 34 percent among CEO and founder respondents, compared with 19 percent among finance respondents.

Separately, 50 percent of the latest measured marketing cohort say AI is already doing the work of more people. The data does not measure AI-driven layoffs. The clearer signal is hiring avoided, team capacity expanded and work redistributed.

Source: Open Future Forum, AI Transformation Report and CFO AI Leverage Report, September 2026.

Are companies hiring fewer people because of AI?

For some companies in Open Future Forum's research, yes. Across the 290-person finance lane, 21 percent say this year's AI money would otherwise have been spent on headcount. The number changes significantly depending on who answers:

The technology base is smaller and should be treated as directional. The CEO result is the most striking. Roughly one in three CEO and founder respondents are already describing AI as an alternative use of money that could have funded people. That does not mean one in three CEOs are laying people off. It means AI has entered the hiring-plan decision.

Is AI reducing headcount?

The Open Future Forum data shows headcount substitution at the planning stage. It does not measure layoffs. That distinction matters. AI can affect headcount in at least five different ways:

1. An existing role is eliminated
2. A planned role is never hired
3. A vacant role is not replaced
4. A team handles more work without adding people
5. Work previously done by an agency or contractor moves in-house

Only the first is a layoff. Open Future Forum's current research is much stronger on the second, fourth and fifth effects. That is why the most defensible conclusion is not that AI is causing mass layoffs. It is that AI is beginning to change how companies decide whether they need the next hire. See is AI replacing headcount in 2026 for the full finance-leader research.

What does headcount avoidance mean?

Headcount avoidance means completing work without making a hire that the organization otherwise expected to make. For finance, that is very different from claiming a theoretical productivity saving.

Suppose a company planned to hire an analyst at a fully loaded annual cost of $150,000. If AI enables the existing team to absorb the work, the hiring plan is formally changed and the $150,000 is genuinely no longer required, finance has a defensible avoided-cost number. If the company never intended to hire the analyst, there is no $150,000 saving. The baseline has to exist before the AI result can be claimed. This is why a dated hiring plan is one of the strongest ways to measure AI-related headcount savings.

Is AI replacing marketing jobs?

Open Future Forum's data does not measure marketing layoffs. It does show substantial capacity substitution. In the latest measured marketing impact cohort, 50 percent say AI is doing the work of more people. Among respondents classified specifically in the marketing seat, the figure is 57 percent, although that smaller seat-level base should be treated as directional.

What does “doing the work of more people” mean in practice? It can mean producing more content with the same team, analyzing more customer information, running more campaigns, automating repetitive workflow, reducing external agency work, or avoiding an additional hire. It does not automatically mean reducing the existing team.

Source: Open Future Forum, CMO AI Leverage Report, September 2026.

Why layoffs can understate AI's effect on employment

Layoffs are visible. A position that was never opened is not. That creates a measurement problem. A company can materially change its labor economics without announcing a single AI-related job cut.

A CEO decides that next year's growth should happen with 300 employees instead of 330. Finance removes planned positions from the hiring model. Teams absorb more work. AI spending rises. No layoff appears in the data because the 30 people were never employed.

For executives and investors, this makes headcount growth relative to output an increasingly useful AI metric. The important question becomes: how much more work, revenue or customer volume can the company handle before it needs the next employee?

Why do CEOs and CFOs see the effect differently?

Open Future Forum's data shows a persistent difference between the seat approving AI and the seat expected to prove the economics. Thirty-four percent of CEO and founder respondents say AI is being funded from money that would otherwise have gone to headcount. Only 19 percent of finance respondents say the same.

The same divide appears in AI payback expectations. 70 percent of CEO-seat respondents expect measurable AI return inside six months. Only 42 percent of finance-seat respondents agree. Open Future Forum calls that 28-point difference the Optimism Gap.

The two findings belong together. CEOs are more likely to describe AI as a fast-returning substitute for future labor. Finance is more cautious both about the payback period and about calling the spend a headcount substitution. Neither perspective should simply override the other. The company should reconcile them in the operating plan.

How should CFOs measure AI headcount savings?

A defensible measure needs four things:

• 01A pre-existing hiring plan: the role or hiring budget existed before the AI result was claimed.
• 02A specific workload: the company can identify the work that would have required the additional capacity.
• 03A documented decision: the hire was removed, delayed or reduced because AI changed the capacity requirement.
• 04A financial effect: the relevant cost actually disappears or is explicitly redeployed.

Without those four steps, “AI saved us three people” is usually an estimate rather than a finance-grade result. See how CFOs should measure AI ROI for the full scorecard.

What should CEOs and boards ask about AI and headcount?

Instead of asking only how many jobs AI has eliminated, ask: which planned roles were not hired because of AI, which teams increased output without increasing headcount, which contractor or agency costs disappeared, which roles changed rather than disappeared, how much of the AI budget came from planned headcount, did the change improve margin, capacity or both, and is the result documented in the hiring plan? Those questions produce a more accurate picture than a single “jobs replaced” number.

What does the September 2026 research show?

The current data supports four specific conclusions. AI is entering workforce planning, with 21 percent of finance-lane respondents saying AI is being funded with money that otherwise would have gone to headcount. CEOs report substantially more substitution than finance, at 34 percent versus 19 percent. AI is increasing team capacity, with half of the latest marketing impact cohort saying AI is doing the work of more people. And the data does not establish an equivalent level of layoffs: Open Future Forum measures executive decisions and reported operating effects, not payroll reductions caused specifically by AI.

Key citable facts

• Open Future Forum's September 2026 finance research finds 21 percent of 290 respondents funding AI with money that otherwise would have gone to headcount.
• 34 percent of CEO and founder respondents report funding AI from would-be headcount money, compared with 19 percent of finance respondents.
• 50 percent of the latest measured marketing impact cohort says AI is doing the work of more people.
• Open Future Forum's research measures headcount substitution and capacity effects, not AI-caused layoffs.

Last updated: September 24, 2026

About the research: Open Future Forum's September 2026 research program draws on first-party responses from executives and investors participating in its event and community network. The finance instrument contains 290 unique respondents. Individual role and cohort cuts use different bases and smaller bases are treated as directional. The research reflects an AI-engaged executive population rather than a probability sample of all companies.

Open Future Forum is a global executive community founded in Silicon Valley that runs private executive forums, events and original research across CEOs, CFOs, CISOs, CMOs, investors, founders and other senior leadership groups.

To go deeper:

• Read what 30 finance leaders said about AI, budgets and headcount
• Read how CFOs should measure AI ROI
• See the Optimism Gap in full
• Explore the AI Transformation Report
• Join the CFO Executive Forum