Since the introduction of ChatGPT in 2022, AI software has rapidly evolved, reshaping the way marketers work and how brands communicate online. From generating a simple meal plan to assisting with everyday tasks, AI now extends into every part of our digital lives, especially in marketing. As AI software becomes standard practice, marketers must learn how to incorporate these tools into their work to stay competitive in a rapidly changing landscape. As AI software becomes standard practice, marketers must learn how to incorporate these tools into their work to stay competitive in a rapidly changing landscape. The rapid growth of artificial intelligence is giving marketers new ways to automate tasks, personalise content and create quality assets faster than ever before.

What Is Artificial Intelligence in Marketing?

Artificial Intelligence (AI) refers to computer systems performing tasks typically requiring human intelligence such as learning, reasoning, and problem-solving. Within marketing, the most common form is generative AI, which uses large datasets to create new content based on user prompts. Popular tools like ChatGPT, Gemini for Google Workspace, and Microsoft Copilot are quickly becoming essential for marketers aiming to work more efficiently. At Playable, AI software development is seen as an opportunity to automate processes, accelerate production and enhance creativity, especially through innovative tools such as our Smart Video Editor.

Top AI Marketing Trends

Trend #1: Automation and Efficiency

One of the biggest advantages of AI software is the ability to automate repetitive, time-consuming tasks. From gathering leads through real-time behavioural data to syncing platforms like Playable with Salesforce or Braze, AI-driven automation helps marketers optimise personalisation and campaign performance. Many modern tools now include in-built AI features for data analysis, campaign management and predictive analytics to reduce manual work and improve ROI. Marketing teams have reported up to 60% reduction in campaign launch time when using AI-powered tools (Source).

Opportunity: Use AI to automate monotonous tasks such as repurposing content, SEO research, performance reporting, and consumer insights.

Trend #2: Personalisation and Customer Journeys

Today’s consumers expect seamless, highly personalised experiences across email, ads, websites, and social platforms. AI software development enables brands to deliver hyper-personalised content by analysing behavioural data, segmenting audiences, and predicting user intent. Platforms like Klaviyo, HubSpot, and Salesforce now offer AI-powered recommendation engines, dynamic content, and predictive segmentation to turn generic interactions into meaningful customer interactions. Imagine knowing who will open an email, click through, or convert. With AI-driven insights, marketers can craft personalised, data-backed journeys that feel intuitive, relevant, and human.

Opportunity: By segmenting audiences, you can deliver personalised content they actually want to see and engage with.

Trend #3: Video Marketing and AI-Powered Content Creation

Video continues to dominate digital marketing and AI is transforming how marketing teams create it. With AI-powered editing and production software, marketers can now generate personalized video content at scale, repurpose long-form videos into short-form clips for TikTok or Instagram, and animate static images into dynamic video formats. Generative AI tools can also help to produce scripts, social posts, and creative assets within seconds. This scalability is essential for brands looking to remain competitive in an increasingly saturated digital landscape.

Opportunity: Playable’s Smart Video Editor uses AI technology to turn still images into moving videos, no new content required.

Conclusion

Artificial intelligence is not a threat, it is an opportunity for marketers to work smarter, deliver more personalised experiences and create impactful content at scale. But with this innovation comes responsibility. Ethical considerations around privacy, transparency, and bias must always guide AI usage. Human creativity and empathy remain irreplaceable. Marketing teams must use AI to help elevate current workflows, not replace human connection.

References

Clue. (2025). AI marketing in 2025: Human strategy meets innovation. Clue. https://www.clue.com.au/blog/ai-marketing-in-2025-human-strategy-meets-innovation Clue

Saiyad, N. (2025, July 20). The future of digital marketing: Trends to watch in 2026. LinkedIn. https://www.linkedin.com/pulse/future-digital-marketing-trends-watch-2026-nakib-saiyad-gzyuf/ LinkedIn

Russell, M. (2025, April 14). AI will shape the future of marketing. Harvard Division of Continuing Education. https://professional.dce.harvard.edu/blog/ai-will-shape-the-future-of-marketing/ Harvard DCE

William & Mary. (2025, July 29). The future of AI in marketing: How is it reshaping the industry? Online Business Blog. https://online.mason.wm.edu/blog/future-of-ai-in-marketing