The UK’s marketing competitiveness is being squeezed by a growing tension: technology is moving at pace, but organisational skills are not keeping up. 

That is the central warning from the European Marketing Confederation in its European Marketing Agenda 2026, produced with support from the Chartered Institute of Marketing. 

On paper, 2026 doesn’t look like a year of panic budgeting – 78% of chief marketing officers expect budgets to remain stable or grow. The concern is what happens next: money in the pot doesn’t automatically translate into competitive advantage if teams can’t deploy it effectively.

Skills, not spend, is the bottleneck

The report’s message is blunt: the limiting factor is capability. 

Many leadership teams may be prepared to maintain or increase investment, but the cross-functional AI and digital skills needed to turn that investment into performance are still missing. 

In other words, organisations are trying to run a faster engine without upgrading the drivetrain – campaign planning, data operations, martech, compliance, and commercial teams all need to pull in the same direction, yet the skills glue that binds them is often thin.

The UK’s cautious stance on AI stands out

In the United Kingdom, marketers were described as slightly more reluctant than European counterparts to prioritise AI in 2026. 

Just 37% of UK respondents said AI was a priority for the year ahead. Compare that with Portugal, where 52% prioritised AI. Across all countries in the research, the average was 43% – a figure that put AI level with sales and performance marketing (also 43%). 

The implication is not that the UK is “anti-AI”, but that it may be moving more cautiously, potentially risking slower adoption while others build momentum.

The most common obstacle is inside the team

When it comes to selecting and applying AI tools, the number one difficulty wasn’t cost or lack of options – it was expertise. 

The report found 45% of respondents pointed to a lack of “expertise within the team” as the primary barrier. 

That statistic matters because it reframes the problem: the marketplace is full of platforms and promises, but without internal competence, organisations struggle to evaluate what’s useful, deploy it properly, and measure it honestly.

A worrying shortage of structured upskilling

Even more striking is how few organisations appear to have a systematic plan to close the gap. 

Only 11% of respondents said they had a granular skills framework in place to enhance capability, backed by a dedicated programme and adequate budgets. 

That means many teams are learning in an informal, inconsistent way – often tool-by-tool, person-by-person – when what’s required is a shared baseline of AI literacy, role-specific training, and cross-functional collaboration that turns experimentation into repeatable practice.

Agentic AI shifts the conversation from tools to autonomy

The report also highlights “agentic AI” as a major force expected to reshape marketing over the next year. 

Defined as autonomous multi-agent systems that can analyse information, make decisions, and act without human input, agentic AI represents a step-change: not just helping marketers do tasks faster, but potentially running parts of the workflow end-to-end. 

For organisations already wrestling with skills gaps, the rise of autonomy raises the stakes – because governance and oversight become as important as creativity and speed.

Where agentic AI is expected to land first

Respondents identified the biggest near-term opportunities for agentic AI in three areas: automated content creation (54%), lead generation and qualification (49%), and automated social media listening (47%). 

Each of these sits at the intersection of scale and responsiveness – areas where marketing teams feel constant pressure to do more, faster, with tighter feedback loops. 

But they also sit in high-risk territory: content needs brand consistency and accuracy, lead flows need data discipline, and social listening can misread nuance if poorly configured.

A global signal, not a local blip

The findings are based on a survey of more than 1,800 marketing and sales professionals across Europe, Asia and Africa – meaning the warning signs can’t be dismissed as a uniquely British challenge. 

The report paints a broader picture of a profession transitioning rapidly, with uneven readiness across markets and organisations. Some teams are building robust operating models for AI; others are still trying to decide where AI fits, who owns it, and how to use it without creating new risks.

The pros and cons of AI in marketing roles

Used well, AI can be a force-multiplier: it speeds up research and ideation, helps teams personalise at scale, improves targeting through better pattern recognition, and frees marketers from repetitive tasks so they can focus on strategy, creative direction, and customer insight. 

But the drawbacks are real: AI outputs can be confidently wrong, bias can creep into targeting and messaging, and automation can flatten distinct brand voice if guardrails are weak. 

There are also compliance and data-privacy concerns, plus a human challenge – over-reliance can erode core skills, reduce critical thinking, and create a workforce that knows which buttons to press but not why the machine behaves the way it does.

The report’s call: treat 2026 as a pivotal opportunity

The chief executive of the Chartered Institute of Marketing and vice-chair of the EMC board argued that AI is reshaping the profession – and that the urgency is now. 

The report frames this as a pivotal moment for organisations to invest in skills development so they can genuinely harness AI’s potential, meet regulatory obligations, and improve staff retention. 

That last point matters: in a fast-changing discipline, people stay where they feel supported, trained, and future-ready.

Conclusion

The message from the European Marketing Agenda 2026 is clear: many CMOs expect stable or rising budgets, but the competitive edge won’t come from spend alone. With the UK showing a more cautious approach to prioritising AI than some peers, and with “lack of expertise within the team” flagged as the leading barrier, the real battleground for 2026 is capability. 

As agentic AI pushes marketing from assisted work to autonomous workflows – especially in content, leads, and social listening – organisations that build structured skills frameworks, governance, and cross-functional fluency will be best placed to grow safely and decisively. 

Those that don’t may find themselves funded, busy – and still falling behind.