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    Users debate AI choosing payment cards and spending rewards

    One user says personal agents already choose which card to use for purchases, and Muse compared miles versus cash for a flight.

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    7 Sources, ,

    TLDR

    One user argues that AI choosing cards at purchase time is difficult for in-person transactions and predicts card providers will try to block AI from spending rewards on users’ behalf. They suggest AI that operates a computer might be harder to block. In reply, another user says personal agents already handle card selection for them and cites Muse comparing miles versus cash for a flight.

    Combined views

    149.4K

    7 Sources, first seen 19d ago

    Combined views

    149.4K

    7 Sources, first seen 19d ago

    1.7K likes
    19d ago
    first seen 19d ago
    1.7K likes
    150 comments
    652 saves
    103 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    150 comments
    652 saves
    103 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    7 Sources

    @signulllone of the most underrated consequences of agents is that they dramatically reduce the transaction costs of being an attentive consumer. i.e. today businesses make enormous amounts of money from consumer inertia with stuff like forgotten subscriptions, missed return windows, unclaimed warranties, price discrimination, unused credits, annoying cancellation flows, failure to negotiate, failure to comparison shop, etc. individually none of these are worth 20 minutes of your life so businesses keep the spread. an agent changes the economics cuz its marginal cost of vigilance approaches ~zero. ppl will be automatically empowered through use cases like: - cancel things you stopped using - notice duplicate charges - request refunds automatically - monitor purchases for price drops - rebook travel when prices fall - negotiate bills - switch insurance/utilities/providers - remember warranties & return windows - chase merchants when something never arrives - optimize credit card rewards/coupons - constantly comparison shop this lets you with an ai agent capture economic surplus that businesses currently extract from human inattention.
    @steipeteRT @signulll: one of the most underrated consequences of agents is that they dramatically reduce the transaction costs of being an attentiv…
    @pitdesiHypothesis: we’re at peak credit-card rewards. As people use personal agents to shop, it’ll change the economics that support them. Credit-card rewards were designed for a world of imperfect human optimization. Optimizers like me know which card to use when, how to maximize credits, and how to redeem points well. For me it’s a fun game to try to maximize value from the credit card companies… but they make heaps from my dear wife who could care less about them :( But AI agents can make every consumer a near-perfect optimizer, easily. Even though my wife doesn’t particularly care, when she buys using an agent intermediary, it’ll pick the right card for her. Once that happens, much of the cross-subsidy, breakage, and behavioral arbitrage that makes today’s rewards so lucrative gets competed away. The rewards def won’t disappear, but the current category model will probably change.
    @immad@pitdesi Will only happen when: A. AI is choosing which card to use at the time of purchase. Hard to do for in person purchases B. AI is spending points/rewards on your behalf. Cards will try to block this, but if it’s using computer use then maybe not possible. Still 3yrs out at least

    7 Sources

    @signulllone of the most underrated consequences of agents is that they dramatically reduce the transaction costs of being an attentive consumer. i.e. today businesses make enormous amounts of money from consumer inertia with stuff like forgotten subscriptions, missed return windows, unclaimed warranties, price discrimination, unused credits, annoying cancellation flows, failure to negotiate, failure to comparison shop, etc. individually none of these are worth 20 minutes of your life so businesses keep the spread. an agent changes the economics cuz its marginal cost of vigilance approaches ~zero. ppl will be automatically empowered through use cases like: - cancel things you stopped using - notice duplicate charges - request refunds automatically - monitor purchases for price drops - rebook travel when prices fall - negotiate bills - switch insurance/utilities/providers - remember warranties & return windows - chase merchants when something never arrives - optimize credit card rewards/coupons - constantly comparison shop this lets you with an ai agent capture economic surplus that businesses currently extract from human inattention.
    @steipeteRT @signulll: one of the most underrated consequences of agents is that they dramatically reduce the transaction costs of being an attentiv…
    @pitdesiHypothesis: we’re at peak credit-card rewards. As people use personal agents to shop, it’ll change the economics that support them. Credit-card rewards were designed for a world of imperfect human optimization. Optimizers like me know which card to use when, how to maximize credits, and how to redeem points well. For me it’s a fun game to try to maximize value from the credit card companies… but they make heaps from my dear wife who could care less about them :( But AI agents can make every consumer a near-perfect optimizer, easily. Even though my wife doesn’t particularly care, when she buys using an agent intermediary, it’ll pick the right card for her. Once that happens, much of the cross-subsidy, breakage, and behavioral arbitrage that makes today’s rewards so lucrative gets competed away. The rewards def won’t disappear, but the current category model will probably change.
    @immad@pitdesi Will only happen when: A. AI is choosing which card to use at the time of purchase. Hard to do for in person purchases B. AI is spending points/rewards on your behalf. Cards will try to block this, but if it’s using computer use then maybe not possible. Still 3yrs out at least