# 2025 CEO AI Readiness Benchmark Results | Your AI Department

> We surveyed 164 CEOs on AI readiness in 2025. 40% were stuck. The #1 blocker wasn't technology. Original research from Your AI Department.

Source: https://youraidept.com/benchmark/2025

Original research · 2025 year in review

# We surveyed 164 CEOs on AI readiness in 2025. Here's what we found.

Most had a budget. Few had a plan. Almost nobody had a framework for deciding what to do first.

164 CEOs surveyed

40% Were stuck at stage 1 or 2

56% CEO was sole decision-maker

46% Said "hype vs. reality" was a top-3 blocker

## If you only read this box

- 40% of CEOs were still in early-stage adoption (stages 1-2 of 5), despite believing AI would change their business.

- "Distinguishing hype from reality" was the #1 blocker, ranked first by 26% of respondents. Security ranked last at 13%.

- 19 CEOs had allocated $50K+ and were still stuck at stage 1 or 2. Budget wasn't the bottleneck.

- Companies with no clear AI owner scored 2.3 on adoption, against 3.0 where the CEO personally led and 3.1 where a direct report did.

- The emotion that dominated open-text responses wasn't fear of AI. It was fear of falling behind. 21% of CEOs named it unprompted.

The benchmark

## They allocated the budget. Their teams ran the pilots. Then many quietly went back to the old way.

In 2025, Your AI Department ran a first-of-its-kind AI readiness benchmark across three CEO peer networks. 164 CEOs responded. Median company size fell in the 100-999 employee range, with representation up to 20,000+, across 15 industries and six continents. These weren't startup founders testing ChatGPT. Half ran companies with 100+ employees. One in ten had more than a thousand.

We expected to find a technology gap. Instead we found an execution gap, and it followed the same pattern we kept seeing in the $50M+ companies we work with: the tools were fine, the org wasn't ready.

The technology wasn't what stalled AI adoption in 2025. The org chart was.

Finding 1

## 40% were still in the starting blocks

We asked every CEO to self-assess their adoption stage on a 1-5 scale. Two out of five were still exploring or running a pilot that hadn't gone anywhere. Only 27% had reached what we'd call operational maturity (stages 4-5).

Where 164 CEOs sat on adoption in 2025

Self-assessed, 1-5 scale

Stage 1 · Exploring

13

Stage 2 · Piloting

52

Stage 3 · Scaling

54

Stage 4 · Operational

25

Stage 5 · Mature

20

The 33% sitting at stage 3 was where the real risk lived. These companies had run a pilot. They'd assigned a champion. The pilot didn't scale.

40%

Still at stages 1-2 (exploring or piloting)

33%

Stage 3 (piloted, didn't scale)

27%

Stages 4-5 (operational)

If you were at stage 2 in 2025, you were normal. But "normal" wasn't safe when 27% of your peers had already operationalized this. Every quarter spent in pilot mode was a quarter they spent compounding.

Finding 2

## The #1 blocker wasn't technology. It was trust.

Every CEO rank-ordered their top blockers from a list of nine. "Distinguishing hype from reality" was ranked #1 by 26% and appeared in the top three for 46%. Nearly half of these CEOs were saying their biggest problem wasn't the AI itself, it was figuring out what to believe about it.

Top blockers to AI adoption

% of CEOs ranking each blocker in their top 3, n=164

Distinguishing hype from reality

46%

Picking first ROI project

43%

Building implementation roadmap

41%

Upskilling & change management

39%

Evaluating vendors & tools

35%

Aligning tech & business teams

34%

Data quality & governance

24%

Measuring outcomes

18%

Security & compliance

13%

Second and third: "Picking first ROI project" (43%) and "Building an implementation roadmap" (41%). Same theme. CEOs weren't confused about whether AI mattered. They were confused about what to do next Monday.

CEOs weren't asking "Should we do AI?" They were asking "What do we do first?" and nobody in their orbit was giving them a trustworthy answer.

Ranked last: security and compliance, at 13%. The thing most vendors lead with, "we'll keep your data safe," was the concern that CEOs ranked dead last.

Finding 3

## 19 CEOs were spending $50K+ and going nowhere

We found 19 respondents, 12% of the sample, who had allocated $50,000 or more to AI in 2025 and were still stuck at adoption stage 1 or 2. They'd written the check. They hadn't moved.

Budget vs. actual adoption stage

Average self-reported adoption by 2025 AI budget tier

< $10K

2.25

$10K–$50K

2.81

$50K–$250K

2.93

$250K+

3.90

No budget

3.14

There was a correlation between budget and adoption, but it wasn't linear. Companies spending $250K+ averaged a 3.9 out of 5 on adoption. But the $50K-$250K range averaged just 2.9, barely above the $10K-$50K group at 2.8. That middle band was the "spend and stall" zone.

The change management is the overlooked killer.

Finding 4

## 56% of CEOs were the sole AI decision-maker. That was the bottleneck.

We asked who owned the AI decision. 56% said "I personally approve and set vision." Another 11% said there was no clear owner at all.

Who owns the AI decision?

n=164 CEOs

CEO personally leads

56%

Direct reports execute

20%

No clear owner

11%

Dedicated innovation team

8%

Other

5%

Here's what was counterintuitive. Companies where direct reports led execution actually had the highest average adoption score (3.1). CEO-led companies were at 3.0. Companies with no clear owner were at 2.3.

Any CEO who's scaled a company will recognize this pattern. You don't scale by being the single approval layer. You scale by picking the right person, setting direction, and getting out of the way. AI adoption in 2025 followed the same rule but adoption is early so it makes sense the CEOs are leading, for now.

Finding 5

## What kept CEOs up at night wasn't fear of AI. It was fear of being left behind.

We gave every CEO a blank text box: "What keeps you up at night about AI?" then we coded the 164 responses by theme.

What keeps CEOs up at night

Open-text responses, coded by theme, n=164

Falling behind / FOMO

21%

Speed of change

16%

Where to start / which tools

14%

Talent & change mgmt

10%

Competitive disruption

9%

Implementation

8%

ROI uncertainty

7%

Security & data

5%

The #1 anxiety was falling behind. The quiet dread that competitors were figuring this out faster.

One respondent wrote: "I believe I am behind and wasting time and money and missing out on growing a more profitable business." Another was more blunt: "That we are ages behind."

Only 5% mentioned security or data concerns as their primary worry.

Finding 6

## Tech companies were 52% ahead of manufacturing on adoption

Tech & Software companies averaged a 3.7 adoption score, effectively in scaling mode. Manufacturing averaged 2.5. Retail sat at 2.4.

Adoption by sector

Sectors with 5+ respondents, scale 1-5

Tech & Software

3.7

Prof. Services

3.0

Healthcare

2.6

Financial Svc

2.5

Manufacturing

2.5

Retail

2.4

This mattered because the AI playbooks being written in 2025, the case studies, the frameworks, the vendor "best practices," were being written by tech companies for tech companies. If you ran a $200M manufacturing operation, those playbooks didn't account for your shop floor, your labor dynamics, or the fact that your most critical knowledge lived in the heads of three people who'd been there 25 years.

The manufacturing and retail CEOs who broke through tended to start in the same place: the 86 minutes their operations manager spent every morning pulling data from three vendor portals into a spreadsheet. That was the first ROI project.

Finding 7

## 28% wanted to start with Sales & Marketing. That was the easy choice, not the right one.

28% of CEOs said they'd prioritize Sales & Marketing for AI. Customer service came second at 20%, then executive strategy and operations tied at 14%.

Where CEOs want to start

n=164, "Which function would you prioritize?"

Sales & Marketing

28%

Customer Service

20%

Exec Strategy

14%

Operations

14%

Product / R&D

8%

HR / Talent

5%

IT

5%

Finance

5%

The problem: Sales & Marketing AI use cases were dominated by content generation tools that demoed well but produced marginal ROI. The 45 minutes a day someone spent reconciling purchase orders across two systems, that translated to measurable savings. A ChatGPT-powered email writer did not.

Sales & Marketing wasn't the wrong answer. But if you chose it because a vendor showed you a demo, you chose the easy path.

Finding 8

## Confidence predicted adoption. Most CEOs were at a 3 out of 5.

Average confidence in spotting AI ROI: 3.15 out of 5. Not confident, not lost. Uncertain.

Confidence predicts adoption

Average adoption stage by self-rated ROI confidence

1 · Low confidence

1.87

2

2.25

3

2.96

4

3.18

5 · High confidence

4.04

The correlation was almost perfect. CEOs at confidence level 5 averaged a 4.0 adoption score. Those at level 1 averaged 1.9. Confidence didn't follow adoption. It led it. The CEOs who moved first were the ones who'd built a framework for evaluating opportunities, not the ones who'd read the most LinkedIn posts about AI.

Confidence didn't come from consuming more information. It came from having a framework that turned information into decisions.

### Methodology

164 CEO respondents across three CEO peer networks, surveyed between April and August 2025. Company size breakdown: 50% under 100 employees, 39% between 100-999, 6% between 1,000-5,000, and 5% above 5,000 (up to 20,000+). 15+ industries represented across six continents. All responses were self-reported. Adoption was measured on a 1-5 scale (1 = Exploring, 5 = Operationally Mature). Blockers were rank-ordered from a standardized list of nine. Open-text responses were coded by theme by Your AI Department's research team. This is proprietary research by Your AI Department (youraidept.com).

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