To provide the findings Cognizant

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The study also predicts that U.S. consumers embracing artificial intelligence may drive nearly half (46%) of spending by 2030. In Australia, this forecast will rise to 55% over the same period. In Germany it is estimated to be 46%, while in the UK it is 39%.

Ravi Kumar S. , CEO of Cognizant , said: “As purchasing behavior influenced by artificial intelligence continues to evolve, companies must understand consumers’ love-hate attitudes towards artificial intelligence. Companies are balancing the need for convenience with the desire for control and trust. needs. Understanding these attitudes is critical to developing AI solutions that not only improve convenience but also build confidence in how AI can reimagine customer experiences and unlock the full potential of tremendous value.”

Oxford Economics looked at historical patterns of technology adoption among consumers across different demographic categories and divided them into groups based on behavioral dynamics. These groups were then compared to a survey of 8,400 respondents, focusing on their openness to using artificial intelligence in the buying experience. The study found purchase architect user data that 75% of respondents said they were frustrated with the current buying process, showing the transformative potential of AI to reshape three key stages of the buying process in the coming years: Learning (when consumers learn about a new product when), purchase (when the consumer makes a purchase) and use (when the consumer uses the product.

Consumers feel most comfortable using AI during the discovery phase (learning phase) of making a purchase decision . Across all age groups, 47% of consumers say they would be comfortable using AI to help select products and services. At this stage, AI-driven search tools, personalized recommendations, and virtual assistants can become important tools in the discovery and evaluation phases of the consumer journey. Tech companies are already integrating these capabilities into their consumer-facing toolsets, making it easier for consumers to use artificial intelligence to gather information and filter options.