AI and tech in 2026: Trends that will affect you if you work with branding, marketing, and content

Here are the tech and AI trends that those of you working with branding, marketing, and content need to keep an eye on in 2026.

Artificial intelligence (AI) is no longer a "new thing." It has now become a natural part of the marketing and communication toolbox. This means more speed and more opportunities, but also more pitfalls. In this article, we go through what we at AlfGundersen believe will be the most important trends in tech and AI for 2026.

AI can create images, videos, and voices that look completely real. As a result, we are becoming more skeptical of all content, and trust is becoming a greater competitive advantage.

What does this mean for content?

• Real people, real environments, and real stories will often be perceived as more credible than "perfect" content.
• Behind the scenes, processes and documentation gain more value
• A consistent brand image over time is becoming increasingly important: it makes you recognizable in a sea of generated content.

By the way, have you figured out how to become visible in AI searches? We explain this in this article on search optimization for AI.

KI becomes even more integrated into the tools

In 2026, AI will be even more integrated into the tools we already use for text production, design, analysis, advertising, and reporting.

Possible gains for us

• Faster idea development and more creative directions early on
• Faster production of variants (formats, headlines, text lengths, languages)
• Faster insight work (summary of findings, meeting notes, campaign results)

Domain-specific AI: tailored to you and your industry

Broad and generic AI (such as ChatGPT, Nano Banana, and Gemini) is very good for many things, but the models can often miss the mark in terms of subject matter, tone, and details. That is why we believe that domain-specific AI (RAG/Retrieval-Augmented Generation), i.e., AI that is customized and trained for a specific industry or brand, will become more common.

In marketing, this results in:

• More precise messages because KI works with your products, your arguments, your brand, and your tone
• Clearer consistency across channels
• AI-generated content that actually sounds like you, not like "something from ChatGPT."

Multi-agent and "AI team": a shorter path from idea to finished result

The next step is for AI to not only provide answers, but to actually work step by step like a real marketing team. One agent can gather insights, another can structure them, a third can write a draft of the ad, and a fourth can produce the ad in multiple formats for different channels.

For marketing, this can result in:

• Shorter path from brief to draft in campaign work
• More effective A/B testing of messages and graphic material
• Better continuity in content production
• Synthetic market insights: rapid "what if" testing before you use up your budget

One of the most practical innovations in marketing today is synthetic research. This involves using AI models and synthetic, AI-generated respondents and personas to test messages, concepts, and customer journeys.

This is particularly well suited to:

• Concept and campaign testing (which message resonates best?)
• Segmentation and hypothesis testing (is what we think about the target group correct?)
• Improving websites and customer journeys (where do people drop out and why?)

Here, it is very important to remember that synthetic insights are a quick and cost-effective decision-making aid, not a definitive answer. The results must always be interpreted and validated by professionals.

In summary: What should you consider in 2026?

• Build trust in your visual expression and brand. Authentic beats artificial.
• Customize AI to your brand to avoid generic communication.
• Use KI for pace and variation, not just volume.
• Test more before investing more, especially with synthetic research.