How to learn AI for marketing in 2026?

ROI answers

Learning AI for marketing in 2026 centres around understanding and utilising generative AI platforms integrated within marketing automation systems, specifically those leveraging Large Language Models (LLMs) to analyse data and create content.

As of December 2025, platforms like HubSpot, now include AI-powered features such as content assistant tools. These tools function by using LLMs trained on vast datasets – including Australian English variations – to generate marketing copy, blog posts, social media updates, and email subject lines based on user prompts. The system analyses existing campaign data, customer demographics (compliant with Australian Privacy Principles), and keyword research to tailor content. Adobe Marketo Engage currently offers similar capabilities, with announced 2027 updates focusing on predictive lead scoring using AI. These platforms don’t ‘think’ creatively; they statistically predict the most effective content based on patterns identified in the data they’ve been trained on. Australian businesses can access these features via subscription models, typically tiered based on the number of contacts and AI usage credits. The underlying mechanism involves prompt engineering – crafting specific instructions to guide the LLM’s output.

Essentially, these AI marketing tools operate by transforming data into probabilistic content generation, automating tasks previously requiring significant human effort.


The bottom line

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