Landmark Kearney Report Spotlights the Future Consumer: 21,500 Weigh In on $20T in Spending Up for Grabs, and More

Kearney's survey of 21,500 consumers across 20 countries projects that up to $20 trillion of consumer spending could become contestable by 2036 as trust shifts from brand reputation to proven outcomes and performance. The report finds 86% of consumers prioritize whether a product works over its brand, increasing risks of switching and boycott-driven disruption for consumer-facing companies. AI and automation could free roughly 80 minutes of daily time, but only 60% AI accuracy in synthetic testing and the view among 80% of respondents that technology cannot provide genuine empathy underscore limits to AI-led consumer engagement.

Analysis

This is not a near-term earnings signal; it is a useful framework for identifying which consumer platforms can convert AI convenience into measurable outcomes without eroding trust. The likely beneficiaries over the next 6-18 months are scaled ecosystems with proprietary first-party data, high-frequency service interactions and clear accountability: AMZN, UBER, BKNG and WMT. Their advantage is not generic AI exposure, but lower consumer search/coordination costs; better conversion and lower service costs can expand contribution margin while smaller brands face rising customer-acquisition costs as loyalty weakens.

The underappreciated loser is the opaque-intermediary model. Performance-based trust shifts value from brand advertising toward verified fulfillment, transparent pricing, returns handling and customer support. This is incrementally negative for ad-dependent discovery channels such as SNAP and PINS if AI agents reduce browsing, and for low-differentiation DTC brands dependent on paid social; the key second-order effect is greater bargaining power for marketplaces and payment networks that own transaction-level dispute and delivery data.

Near term, there is no trade on a consultancy survey alone. Over 1-3 months, watch holiday-period evidence that AI shopping tools are reducing search traffic or lifting conversion/return rates at AMZN, WMT and SHOP merchants; management disclosure on AI-assisted service containment and conversion is the relevant catalyst. The contrarian risk is that agentic commerce commoditizes the interface, allowing Google, Apple and OpenAI-like assistants to own demand routing and pressure retailer take rates. The thesis fails if AI-driven engagement does not translate into lower acquisition expense, higher repeat purchase or better fulfillment economics by 2027 guidance cycles.

Key Decisions for Investors

• No immediate position from this release; add an alert for Q4/Q1 disclosures from AMZN, WMT, UBER and BKNG on AI-driven conversion, contact-center containment, repeat rates and returns. Treat quantified improvement in contribution margin as the entry trigger.
• Build a 6-12 month quality basket long AMZN/WMT/UBER versus short a small basket of SNAP/PINS, sized modestly. The mechanism is transaction and fulfillment ownership versus discretionary discovery; exit the pair if ad-platform engagement or revenue-per-user accelerates faster than marketplace conversion/retention.
• Watch SHOP for merchant-level evidence that AI agents reduce paid-acquisition dependence without increasing platform support costs. Until GMV, take-rate and merchant churn data validate that outcome, keep it on watch rather than buying the AI narrative.
• For a downside hedge on consumer-discovery risk, consider 3-6 month put spreads on SNAP only after a documented referral-traffic or advertiser-budget deterioration. A survey is insufficient; require an earnings-guide revision or third-party traffic inflection before entry.