Premium loyalty programs, like airline status tiers, are a monetized system for accessing favorable human judgment and exceptions to standard rules. This provides a powerful market-based argument that pure, rigid AI automation will have a value ceiling because people pay to escape it.

An economist's warning of an agent-driven bank run highlights a systemic risk: many industries rely on consumer inertia and complexity for profit. AI agents that automatically optimize choices for users—like moving cash to high-yield accounts—could destabilize these established economic models by removing this profitable friction at scale.

AI agents will attack corporate profit centers that rely on consumer inertia. They will automatically utilize unused flight credits, reclaim loyalty points, and dispute insurance claims. This shifts value back to the consumer and turns previously profitable friction into costly operational burdens for incumbent companies.

Consumers will be slow to trust AI with subjective shopping decisions (e.g., buying clothes). However, they will more quickly adopt AI agents to handle the objective task of payment optimization—choosing the right card or financing—making it the first major frontier for agentic commerce.

To enable agentic e-commerce while mitigating risk, major card networks are exploring how to issue credit cards directly to AI agents. These cards would have built-in limitations, such as spending caps (e.g., $200), allowing agents to execute purchases autonomously within safe financial guardrails.

The fight for desirable credit users is so fierce that for customers in the middle-to-upper range of credit scores, the cost of rewards and cash back exceeds the revenue generated. Profitability only returns for the highest-spending users whose interchange fees outrun the reward expenses.

While AI currently gives Nubank an edge, its long-term effect could commoditize the entire banking industry. AI agents could constantly optimize consumers' finances, automatically switching them to the lowest-rate products and eroding industry-wide margins.

Businesses with moats based on network effects or consumer friction are vulnerable to "agentic commerce." AI agents, tasked with finding the absolute best price without experiencing the tedium of comparison shopping, will bypass brand loyalty and platform stickiness. This threatens any business model that relies on being the default or convenient choice.

Numerous consumer finance and service industries rely on friction and customer breakage to generate profit, such as delayed insurance claims, complex rebates, or high credit card interest rates. Chris Farmer and Shiel Monat suggest that relentless personal AI agents will automate tasks like refinancing debt or fighting airline refunds, leveling the playing field and forcing legacy businesses to eliminate artificial bureaucratic hurdles to retain customers.