McKinsey QuantumBlack research on agentic commerce puts a dollar figure on how much buying activity AI agents could touch. Under moderate scenarios, the firm estimates that AI agents could mediate 3 trillion to 5 trillion dollars of global consumer commerce by 2030.

The underlying behavior is already measurable in the United States. Around 23 percent of US Amazon shoppers had at least one active Subscribe and Save recurring order in 2024, which McKinsey treats as the baseline level of delegation consumers accept when automation is reliable and reversible.

Consumer survey data points the same direction. Statista Consumer Insights found that 23 percent of US adults aged 18 to 39 say they like using AI for shopping, against 15 percent of those aged 40 to 64. Twenty four percent of the younger group used AI platforms to search for products over the prior twelve months, compared with 18 percent of the older group. Roughly 41 percent of younger US respondents have followed a recommendation from an AI generated digital influencer.

McKinsey maps the shift across six levels of automation, running from rules based replenishment through supervised execution to agent to agent negotiation. The economic consequence for merchants is a compression of the traditional funnel, with search, comparison and consideration collapsing into a single agent mediated moment and value shifting toward sellers whose catalogs and policies are machine readable.

Source: McKinsey QuantumBlack - https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-automation-curve-in-agentic-commerce