AI in Marketing:
The Full Picture

Industry Research · Final Results

We surveyed 124 marketing professionals and 93 hiring leaders across Australia to understand how AI is reshaping talent, tools, and expectations when it comes to marketing and growth.

0
Candidate
responses
0
Organisation
responses
15 Apr - 4 May 2026
final collection
Australia-wide
7 disciplines
At a glance
0%
of candidates use AI regularly
0%
of orgs have no AI policy
0%
frustrated or considering leaving
0%
cite quality / brand as top risk
0%
of orgs say leadership leads by example
0%
name critical evaluation as the #1 skill
0%
expect content roles to evolve most
0%
of orgs track AI with dedicated KPIs
Press arrow keys or click to explore the findings
The Expectation Gap
The Hiring Gap

What candidates experience on day one vs what orgs say they communicate during hiring.

What candidates found on day one

Wasn't discussed, barely used 35%
Mostly matched expectations 25%
Mentioned, but limited in practice 22%
Pleasantly surprised 14%
AI was misrepresented 5%

What orgs say they communicate

Somewhat mention AI 46%
Communicate AI very clearly 24%
Rarely discuss AI in hiring 19%
Not at all 11%

46% of organisations only somewhat mention AI during hiring - while 35% of candidates say AI wasn't discussed at all and barely exists in the role. Meanwhile 24% of orgs say they communicate AI very clearly, showing signs of an improving conversation.

feedback
Michael Johns · Director, Gybe Consulting
I've watched this gap show up in nearly every senior marketing hire I've placed this quarter. Candidates are asking really sharp questions about AI workflows in interviews and getting vague pitches back - and they notice fast. The orgs winning the talent war right now are the ones who can name their actual AI stack, who uses what, and what training they've put in place.
Where AI Actually Lives Today
AI Adoption

Candidate experience vs organisation reality across seven marketing disciplines.

Embedded
Experimental
Absent
N/A
Candidate view (124) - org embedded % shown below
Content &
Copywriting
43%
Candidates
64%
Orgs
Paid Media
11%
Candidates
25%
Orgs
SEO
16%
Candidates
27%
Orgs
Email
Marketing
20%
Candidates
23%
Orgs
Analytics &
Reporting
23%
Candidates
29%
Orgs
CRM
16%
Candidates
18%
Orgs
Creative &
Design
26%
Candidates
30%
Orgs
Key insight
Organisations report higher embedding in all 7 disciplines. The biggest gap is Content (43% vs 64%) - suggesting strategic investment hasn't yet filtered down to practitioner experience.
feedback
Libby Kidd · Director, Gybe Consulting
I've been speaking to clients recently about CRM and what the roles around it look like. Both candidates and organisations agree it's where they need to focus - it sits on the richest first-party data in most businesses, and the marketers who can bring AI fluency into a CRM context will be the ones rewarded over the next 12 months.
Two Sides of the Same Story
Both Perspectives · Part 1

How marketers are actually using AI, what their employers think about it, and the results they're seeing.

Candidates The candidate view
Personal AI usage
88%
Power users 44%
Regular users 44%
Cautious 10%
Minimal 2%
Employer AI stance
44%
Actively encourages 44%
Generally supportive 40%
Silent 10%
Actively discourages 6%
Results AI has delivered
88%
Significant savings 34%
Moderate savings 29%
Better quality 17%
Cost reduction 6%
No result yet 12%
feedback
Michael Johns · Director, Gybe Consulting
What jumps out for me here is the speed candidates have moved at. 88% are regular AI users already - that's faster than any tech shift I've seen in my career. And it's translating into real results: 88% report a tangible outcome from AI in their work. That's a high bar for any employer who isn't keeping pace.
Behind the Org Walls
Both Perspectives · Part 2

Meanwhile, how prepared are organisations actually to support all this adoption?

0%
Considering leaving over AI
5% of candidates say the gap between expectation and reality around AI is significant enough to make them consider leaving or looking elsewhere.
0%
Employers silent or discouraging
16% of employers are either silent (10%) or actively discouraging (6%) on AI - giving no guidance, tools, or investment. While lower than expected, this still creates a retention blind spot.
0%
Track AI with dedicated KPIs
14% of organisations have dedicated metrics for AI impact. Most still rely on standard marketing metrics or anecdotal feedback - making it hard to justify further investment or prove ROI.
Organisations The state of org-side AI readiness
65%
65%
leadership leads
by example
28%
28%
have a formal
AI policy
14%
14%
track AI with
dedicated KPIs
13%
13%
have no AI policy
at all
feedback
Cass Barker · Director, Gybe Consulting
There's a clear pattern across the briefs I'm working on right now - orgs are investing at the leadership level, but day-to-day teams aren't always feeling it. Only 14% of organisations are tracking AI with dedicated KPIs, the rest are running on gut feel. The teams I'd bet on right now are the ones building real measurement into their AI rollouts, not just buying licences.
What's Changing
The Road Ahead

Which roles and skills do both groups believe will matter most in the next 12 months?

Roles that will evolve most

Content & Copy
74%
Data & Analytics
50%
Creative & Design
43%
SEO
32%
CRM & Lifecycle
31%
Paid Media
22%

Non-negotiable future skills

Critical evaluation
70%
Strategic thinking
58%
Prompt engineering
54%
AI ethics
24%
Automation
24%
Cross-functional
24%

Hover any bar to see how organisation responses compare. Candidate data shown.

feedback
Michael Johns · Director, Gybe Consulting
Critical evaluation is the skill I'm hearing about most often from heads of marketing this year. The production side of AI is quickly becoming table stakes - what's separating senior candidates in interviews now is whether they can interrogate an AI output, protect brand voice, and tie work back to commercial outcomes. That's where I'm seeing the salary premiums sit in current briefs.
What Keeps Both Groups Up at Night
Risks & Takeaways

Candidates and organisations largely agree on where the danger lies - but diverge on how much it matters.

Quality or
brand risk
35%
Candidates
43%
Orgs
Loss of strategic
thinking
31%
Candidates
32%
Orgs
Data accuracy &
hallucinations
22%
Candidates
12%
Orgs
Compliance &
legal risk
8%
Candidates
6%
Orgs
Where they agree
2 of 4
Both groups rank Quality / brand risk and Strategic thinking loss as their top two concerns - an unusual level of consensus across hiring sides.
Where they diverge
+10pts
Candidates worry about hallucinations at 22% vs orgs at 12% - the largest perception gap. Front-line marketers feel the accuracy risk more acutely than leaders.
The unconcerned
2%
Just 2% of orgs say they see no major AI risks at all. The era of AI optimism without caveats is over - even the most bullish leaders are factoring in risk.
feedback
Libby Kidd · Director, Gybe Consulting
Quality and brand risk topping both lists matches what I'm hearing in interviews - marketers are using AI every day, but they don't fully trust it yet. The hires that are converting fastest in 2026 are the ones with a strong critical eye and a defined review process, not just AI tool fluency.
What AI Predicts vs What the Data Shows
AI Analysis · Part 1

We compared generic AI predictions about marketing's future with what 217 Australian marketers actually told us - and what we're seeing in the briefs we work on.

smart_toy
Generic AI take - what ChatGPT tells anyone.
monitoring
What the data shows - 217 real responses.
Gybe
Gybe's take - what we're seeing in the market.
01
Will AI skills become a hiring requirement?
AI skills will be essential for all marketing roles by 2027. Companies that don't prioritise AI literacy in hiring will fall behind competitors.
Only 9% of orgs explicitly require AI skills when hiring, yet 88% of candidates already use AI regularly. With 44% of employers actively encouraging AI, the dynamic is flipping: candidates will start screening employers on AI maturity.
Don't list AI as a generic requirement. The candidates worth hiring are already using it. Focus your JD on the specific use cases and workflows where you need AI applied - that's how you spot genuine fluency in interviews.
02
Will AI strategy become a retention issue?
Companies with clear AI roadmaps will attract and retain top talent. Employer branding around AI adoption will become a competitive advantage.
Already happening - 5% of candidates are considering leaving over AI gaps. Only 16% of employers are silent or discouraging (lower than expected). The real risk is the quality of engagement, not its absence.
The 16% silent employers are the real risk pool. We've already seen candidates decline offers because the AI tooling question got vague answers. Speak to your stack, training and policy clearly in interviews - or lose hires.
What AI Predicts vs What the Data Shows
AI Analysis · Part 2

Where the real surprises sit - role evolution and the biggest opportunity.

03
Will content roles be replaced by AI?
AI will automate most content creation tasks. Content marketers will need to upskill or risk becoming obsolete as AI generates copy at scale.
Content has 43% embedded AI adoption among candidates (64% for orgs), yet 74% of candidates expect the role to evolve - not disappear. Content roles are splitting: AI-assisted production on one side, strategic brand voice on the other.
Content isn't dying - it's bifurcating. We're placing two distinct profiles right now: AI-assisted volume producers (faster, lower seniority) and strategic editorial leads (premium hires). Plan your team structure for both.
04
Where is the biggest AI opportunity in marketing?
Data analytics and personalisation represent the biggest opportunity. AI-driven insights will transform how marketers understand and target audiences.
Partially right. 35% of candidates say CRM AI is absent - still significant whitespace. Yet CRM sits on the richest first-party data, and orgs are starting to experiment (51% experimental). As third-party data erodes, AI-powered CRM may become the most valuable discipline.
CRM is the sleeping giant. The richest first-party data sits there and most teams haven't paired AI to it yet. The marketers who can connect CRM systems thinking with AI fluency are the most valuable senior hires we're placing in 2026.
What AI Predicts vs What the Data Shows
AI Analysis · Part 3

The final - and arguably most important - question. What separates the marketers who'll thrive from those who won't?

05
What skills will matter most in an AI world?
Prompt engineering and AI tool fluency will be the most in-demand skills. Marketers who master AI tools will have a significant advantage.
The data disagrees. Critical evaluation leads at 70% of candidates and 67% of orgs - both sides want the ability to evaluate AI output above all else. Strategic thinking follows at 58% / 65%. Prompt engineering only ranks at 54%. The market wants strategic humans, not AI operators.
Hire for judgement, not tools. Prompt engineering is a one-week course. Critical evaluation and strategic direction are what separate the senior candidates getting hired from those who aren't. That's the through-line of every successful placement we're making.
The headline
4 of 5
Of the five questions we asked AI, 4 predictions got the headline right but missed the nuance. The shape of change is broadly correct - but the implications, sequence and human factors require ground-truth data.
Our position
Hire humans
AI is reshaping the work, but the marketers worth hiring in 2026-27 are the ones who can think critically, set strategic direction, and translate first-party data into action. That's where we focus every search we run.

Generic AI predictions sourced from standard ChatGPT output. Data from 217 survey responses collected 15 April - 4 May 2026.

Gybe Consulting
Free Download
Get the Full Infographic Report

All the data from this presentation in a shareable, single-page infographic - perfect for leadership decks, team discussions, or keeping as a reference.

We'll email you the PDF infographic. No spam, no sequences - we won't even put your email in our CRM.

Want to discuss these findings or explore how they apply to your team?

gybeconsulting.com.au