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Marketing, AI and Automation Trends

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Marketing in 2026 is moving beyond AI hype and into accountability. This Screendragon guidebook, Marketing, AI & Automation Trends 2026, brings together perspectives from Screendragon leaders and industry experts to show how marketing teams can move from experimentation to execution by embedding AI into governed workflows, building connected systems, and using orchestration to scale work without losing control.

The insights within this guidebook are sourced from our webinar. You can watch the Marketing Trends 2026 webinar here.

What You’ll Learn:

  • How AI is shifting from standalone tools to agentic systems
  • Why strong foundations, clean data, and governance are essential for AI adoption
  • How modular content production is changing the way marketing teams scale
  • Why hybrid teams now include both human talent and AI agents
  • How orchestration connects workflows, data, people, and AI into one operating model

Why It Matters:

✔ Move beyond experimentation – Turn AI pilots into repeatable, measurable workflows.

✔ Protect brand and governance – Scale content and automation without losing oversight.

✔ Reduce operational friction – Connect tools, teams, and data so work moves forward faster.

✔ Build for measurable growth – Align AI, automation, and orchestration to real business outcomes.

Overview of the eBook:

Beyond Hype Into Accountability

Marketing in 2026 is entering a more mature phase. After a period of AI experimentation, teams are now under pressure to prove value, improve governance, and connect technology to measurable business outcomes. Gains will be made from operational discipline, increasing the use of automation within workflows, and applying AI strategically.

AI is Operational: The Shift to Agentic Systems

AI is moving into the core marketing operating model. Instead of being used in separate tools, AI is being embedded across planning, briefing, localisation, approvals, governance, and performance analysis. The focus is on intelligent workflows and composite agents that connect with multiple systems to move work forward.

The Foundational Layer Becomes the Growth Enabler

AI can only perform as well as the systems beneath it. Fragmented tools, poor data quality, and unclear ownership make it harder to scale AI reliably across the team. Incorporating an orchestration layer to connect people, processes, platforms, and performance into one operating model.

The Industrialisation of Content Production

The traditional marketing campaign model is changing. Previously approached with one master asset being manually adapted for every market, channel, or audience, teams are building modular content systems. Content is increasingly created as reusable components that can be adapted, remixed, and optimised at scale.

Content production is beginning to look more like a supply chain, with structured workflows, defined stages, and AI agents supporting repeatable tasks.

Teams Are Hybrid by Default

Marketing teams are now hybrid in two ways.

  • Brands are blending in-house capability with external agency expertise.
  • Humans and AI agents are beginning to work side by side inside structured workflows.

Orchestration Is the Differentiator

Teams are currently dealing with duplication, manual handoffs, limited visibility, and fragmented reporting. Orchestration is presented as the capability that brings everything together. It connects workflows, data, people, and AI so marketing teams can coordinate work across planning, content creation, approvals, localisation, automation, and reporting.

What This Means for Marketing Leaders in 2026

Marketing leaders are under increasing pressure for continuous growth. To achieve this, they need to design systems, define ownership, embed agents into structured workflows, and connect every capability to measurable growth.

Read the guidebook now.