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Australians Embrace AI Shopping Tools as 63% Show Positive Interest

Australians Embrace AI Shopping Tools as 63% Show Positive Interest

Australian consumers are increasingly turning to artificial intelligence (AI) to enhance their shopping experiences, but most remain hesitant to hand over the final purchasing decision to autonomous systems.

New research shows that while Australians are open to using AI-powered shopping assistants for product discovery, recommendations, and research, trust issues continue to limit the adoption of fully automated checkouts. The findings highlight a growing preference for AI as a shopping companion rather than a replacement for human decision-making.

AI Becomes a Shopping Assistant

Interest in agentic AI shopping tools is rising rapidly across Australia. Consumers are using generative AI platforms to compare products, discover brands, receive personalized recommendations, and simplify the research phase of online shopping. Studies indicate that nearly two-thirds of Australians are interested in trying AI-assisted shopping experiences, reflecting a significant shift in digital consumer behavior.

This trend aligns with broader changes in the retail industry, where AI-powered assistants are increasingly integrated into e-commerce platforms to help shoppers navigate growing product selections and information overload.

Checkout Remains a Human Decision

Despite their enthusiasm for AI-driven recommendations, Australian shoppers remain cautious about allowing AI to complete transactions independently. Research suggests that only a small minority of consumers are comfortable with fully autonomous purchasing.

Security concerns, payment transparency, and the desire to maintain control over spending decisions continue to influence consumer attitudes. Many shoppers view AI as a valuable adviser but believe that the final checkout process should remain firmly in human hands.

Trust Will Define the Future of Agentic Commerce

Consumer trust is emerging as one of the biggest challenges for retailers and technology providers developing agentic commerce solutions. Australians expect AI systems to be transparent about how recommendations are generated and how personal data is used.

Payment providers and established technology companies may have an advantage in this environment, as consumers often associate familiar brands with stronger security and accountability standards.

What It Means for Retailers

For e-commerce businesses, the message is clear: consumers are ready for AI-assisted shopping experiences but are not yet prepared to surrender purchasing control entirely.

Retailers should focus on deploying AI tools that improve product discovery, personalization, and customer support while keeping shoppers actively involved in purchase decisions. Brands that prioritize transparency, security, and human oversight are likely to gain a competitive advantage as agentic commerce continues to evolve.

As AI becomes a more prominent part of online retail, the next phase of e-commerce innovation may depend less on replacing shoppers and more on empowering them with intelligent tools that enhance confidence and convenience.

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AI Visibility Debate Deepens as 84% of Australian Marketers Disagree on Ownership

AI Visibility Debate Deepens as 84% of Australian Marketers Disagree on Ownership

Australian marketers are increasingly divided over who owns AI visibility, as businesses struggle to adapt to the rise of AI-driven search and discovery.

A recent study by Sefiani found that 84% of marketing and communications leaders disagree on ownership of AI visibility, highlighting a lack of clear responsibility across organisations.

At the same time, 91% of respondents said they are already changing strategies to better influence how brands appear in AI-generated answers. However, only 16% reported having an integrated approach, with responsibilities split across data, brand, communications and performance teams.

Fragmentation Risks Undermining AI Visibility Strategies

The lack of alignment is creating operational challenges. Around 77% of leaders said internal silos caused major issues over the past year, including inconsistent messaging and slower response times.

More critically, one in four organisations reported incorrect or outdated brand information appearing in AI-generated responses, raising concerns about reputational risk in AI-led environments.

This shift reflects a broader transformation in how discovery works. AI tools are moving beyond traditional search, forcing companies to rethink how their information is structured and distributed.

Budget allocation is also evolving. Nearly half of respondents said they have assigned 5% to 10% of marketing budgets to AI visibility, while another 30% are investing up to 20%. Most of this spend is being redirected from traditional digital and brand channels.

Industry experts warn that AI visibility is no longer tied to a single channel. Instead, it depends on consistency across content, media coverage, social signals and search authority. Without alignment, fragmented strategies can weaken how brands appear in AI-generated outputs.

As AI continues to reshape digital discovery, the debate is shifting from search rankings to a more complex question: who controls how a brand is represented inside AI systems.

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