Amazon has introduced a new artificial intelligence-driven video creation tool for retailers in Australia, giving sellers the ability to produce dynamic, high-quality ads on its marketplace in a matter of minutes.

The system is designed to be straightforward. A seller uploads a single product image and the platform’s AI transforms it into as many as six different video concepts, each featuring realistic motion and multiple scenes. What once required a production team, budget, and editing expertise can now be handled with minimal effort.

According to Amazon, the rollout is intended to make advanced advertising more accessible, particularly for smaller businesses that have traditionally been priced out of video marketing. The company believes this will reduce the gap between major brands and independent sellers.

However, the wider adoption of AI in advertising has raised concerns. Shoppers are increasingly questioning whether what they see reflects reality or a polished, artificial version of a product. That concern presents a potential challenge for Amazon as it continues to expand its massive global marketplace.

Willie Pan, managing director of Amazon Ads in Australia and New Zealand, said the company has built safeguards to maintain trust. He pointed to issues seen on some competing platforms, where product images can be misleading or disconnected from the item that actually arrives.

Pan explained that the tool relies on existing product images and detailed identifiers such as ASINs and SKUs to ensure accuracy. He stressed that the visuals are not fabricated but generated from real product data, with the aim of matching what customers receive.

He added that mismatched expectations can quickly damage a seller’s reputation. If a buyer feels misled, they are unlikely to return, and poor performance ultimately affects sales outcomes. The system is therefore designed to prioritise consistency between visuals and the actual product.

Even so, brands using AI-generated content have faced criticism. Some campaigns have been labelled unsettling or inauthentic. One example involved sleepwear label Peter Alexander, which used computer-generated dogs in a campaign and released products featuring visible design errors and distorted imagery.

Pan argued that when applied carefully, AI can still deliver strong benefits, especially for smaller operators looking to expand. Data from the United States suggests advertisers using the video tool have recorded a 12.1 per cent lift in conversion rates. Additionally, more than 60 per cent of items promoted through the feature had never previously been showcased in video form.

For Australian small and medium-sized businesses, the efficiency gains could be significant. Internal research indicates marketing teams may save around 7.3 hours each week by adopting AI tools, which adds up to roughly 45 working days over a year.

Pan compared the shift to the early days of internet advertising, when businesses were hesitant to move away from print directories. At the time, he worked in the sector and had to convince companies that digital communication could reach customers instantly.

Looking back, he sees the new video tool as part of a similar transformation. With millions of small businesses operating in Australia, he believes the technology gives them their first real opportunity to use video at scale, a format that consistently delivers stronger engagement.

Business owners who have tested the tool describe it as a major step forward. Chao Wang from stationery brand Vignette said it enables faster experimentation and quicker turnaround on ideas. Eugene Cheng, founder of The Sneaker Laundry, said it has allowed his company to expand into video advertising and support ongoing growth.

The system draws on Amazon’s own Nova models as well as external AI technologies, while remaining tied to verifiable product information. Even so, the increasing availability of such tools raises a new question for businesses. If everyone can produce polished video content, standing out becomes more difficult.

Pan believes the current version is only the beginning. He points to the next stage as agentic AI, where systems operate with greater autonomy. This could lead to automated workflows, more detailed storytelling, and long-term brand development handled largely by AI.

In his view, the Video Generator represents an entry point. It gives businesses their first level of sophistication, with more advanced capabilities likely to follow.