Australians increasingly trust AI shopping recommendations over retail staff

Australians are increasingly trusting AI shopping recommendations over retail staff, with 76% of respondents in a recent survey trusting AI advice as much as or more than human sales assistants. This marks a significant increase from 2019, when only 45% of respondents trusted AI recommendations. The rise of AI in retail is changing the way people shop, with Australians embracing the use of AI to make recommendations.

Walmart's AI assistant, Sparky, is driving sales increases, with customers spending 40% more than those who shop without it. Sparky provides personalized product recommendations, helping customers find what they need quickly and easily. The AI assistant also helps Walmart's associates better understand customer needs, providing more effective customer service.

Meta had planned to restructure its organization to focus on AI, but the plan was abandoned due to weaker-than-expected AI results and employee backlash. The company's AI efforts are still ongoing, but the plan was deemed too drastic. Meanwhile, researchers have developed new policy schema and tools to help organizations manage AI risks, including exception-based policy governance and synthetic data generation for model alignment and testing.

The Labor Department is partnering with tech giants like Microsoft, Google, and Amazon to develop a system for collecting and analyzing data on AI jobs. The partnership aims to get a better handle on how AI is reshaping the labor market. Private capital investment in AI infrastructure outside of the US has boomed, with $14.8bn invested in the first half of 2026, compared with $2.3bn in all of 2025.

China's Z.AI has developed an AI model called Ox Alpha Stealth that rivals DeepSeek, achieving high accuracy at a lower cost. This development is significant in the field of AI, and its impact will be closely watched by experts and researchers.

Key Takeaways

• Australians increasingly trust AI shopping recommendations over retail staff, with 76% trusting AI advice as much as or more than human sales assistants. • Walmart's AI assistant, Sparky, drives sales increases, with customers spending 40% more than those who shop without it. • Meta abandons AI restructuring plan due to weaker-than-expected AI results and employee backlash. • Researchers develop new policy schema and tools to help organizations manage AI risks. • Labor Department partners with tech giants to develop a system for collecting and analyzing data on AI jobs. • Private capital investment in AI infrastructure outside of the US reaches $14.8bn in the first half of 2026. • China's Z.AI develops AI model rivaling DeepSeek. • Xero's AI-powered accounting software uses machine learning algorithms to automate tasks. • Internal and external auditors have varying levels of knowledge about AI and its potential in auditing. • Behavior-guided online probabilistic forecasting method developed for electric vehicle charging loads.

Australians Trust AI Shopping Recommendations Over Retail Staff

A recent survey found that nearly half of Australians trust AI shopping recommendations more than retail staff. The survey of 1,000 Australians showed that 76% of respondents trusted AI recommendations as much as or more than advice from retail sales assistants. This marks a significant increase from 2019, when only 45% of respondents trusted AI recommendations. The rise of AI in retail is changing the way people shop, with Australians increasingly trusting AI to make recommendations. The survey's results indicate that Australians are embracing the use of AI in retail.

Walmart's AI Assistant Drives Sales Increase

Walmart's AI assistant, Sparky, is leading to customers spending 40% more than those who shop without it. The retail giant is using Sparky to personalize the shopping experience for its customers. Sparky provides personalized product recommendations, helping customers find what they need quickly and easily. The AI assistant also helps Walmart's associates better understand customer needs, providing more effective customer service. Walmart has seen a significant increase in sales since implementing Sparky.

Meta Abandons AI Restructuring Plan

Meta had planned to restructure its organization to focus on AI, but the plan was abandoned. The plan, called Project OT, aimed to reduce teams by up to 60% and replace human workers with AI agents. However, the company's internal AI push was not meeting expectations, with code changes not translating to productivity gains. The plan was met with resistance from employees, and Meta ultimately decided not to proceed with the restructuring.

Meta Scraps AI Restructuring Plan

Meta had planned to cut teams by up to 60% and replace them with AI agents, but the plan was scrapped. The company's AI efforts are still ongoing, but the plan was deemed too drastic. The decision to abandon the plan was reportedly due to weaker-than-expected AI results and employee backlash.

AI Opportunities and New Operating Models

The AI opportunity landscape is vast and complex, and companies need to adopt new operating models to take advantage of AI. The traditional business model is no longer sufficient, and companies need to create a culture of experimentation and continuous learning. AI can be used to improve productivity and make data-driven decisions, but companies need to be careful about how they implement AI.

Granite Trust Policy Tools for Generative AI

Researchers have developed a new policy schema and tools to help organizations manage AI risks. The Actionable Policy schema allows for exception-based policy governance and synthetic data generation for model alignment and testing. The tools are designed to help organizations specify and enforce policies throughout the GenAI application lifecycle.

Behavior-Guided Online Probabilistic Forecasting

Researchers have developed a new method for online probabilistic forecasting of electric vehicle charging loads. The method uses a dual-timescale behavior representation to distinguish between long-term charging characteristics and recent behavioral changes. The method has been shown to outperform conventional forecasting models and concept-drift-aware online baselines.

Xero and AI Software Picks for Long-Term Growth

Xero is a cloud-based accounting software company that has been growing rapidly in recent years. The company's AI-powered accounting software uses machine learning algorithms to automate tasks such as invoicing and financial reporting. Xero's revenue has been growing at a rate of 20% per annum, and the company has a strong track record of profitability.

Labor Department Partners with Tech Giants for AI Jobs Data

The Labor Department is partnering with tech giants to develop a system for collecting and analyzing data on AI jobs. The partnership aims to get a better handle on how AI is reshaping the labor market. The department is working with companies like Microsoft, Google, and Amazon to develop new tools for tracking the impact of AI on the workforce.

Private Capital Investment in AI Infrastructure

Private capital investment in AI infrastructure outside of the US has boomed in 2026. The Global Private Capital Association reported that AI investment reached $14.8bn in the first half of 2026, compared with $2.3bn in all of 2025. The majority of funding for pure-play AI businesses is gravitating towards China and India.

Internal and External Auditors' Perceptions of AI

Researchers have studied internal and external auditors' perceptions of AI and its implementation in audit practices. The study found that auditors have varying levels of knowledge about AI, and their perceptions of AI's potential in auditing differ. The study highlights the need for auditors to understand AI and its potential risks and benefits.

China's Z.AI Develops AI Model Rivaling DeepSeek

China's Z.AI has developed an AI model called Ox Alpha Stealth that rivals DeepSeek. The model has achieved high accuracy at a lower cost than DeepSeek. Z.AI's Ox Alpha Stealth model is a significant development in the field of AI, and its impact will be closely watched by experts and researchers.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI shopping recommendations Retail staff Trust in AI Walmart's AI assistant Personalized shopping experience Sales increase Meta's AI restructuring plan Project OT Employee resistance AI productivity gains AI opportunity landscape New operating models Granite Trust policy tools Generative AI Behavior-guided online probabilistic forecasting Electric vehicle charging loads Xero's AI-powered accounting software Machine learning algorithms Labor Department's AI jobs data Private capital investment in AI infrastructure AI investment in China and India Internal and external auditors' perceptions of AI AI implementation in audit practices China's Z.AI AI model Ox Alpha Stealth DeepSeek AI model rivaling DeepSeek

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