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Rogue4Gay's avatar

The current purchasing agents (Muse and Dots) will not survive.

In the end, Apple and Google will be the agents as part of Siri/iOS and Gemini/Android.

Apple Siri has access to all the personal information on your phone and can pay with Apple pay which solves the problem you noted.

Google Android can get access to everything on an Android phone and have the user pay with Google pay.

Consumers are already comfortable using Apple Pay and Google Pay. I own a bakery with multiple locations. Our web site accepts Apple Pay and Google Pay.

I get why Meta, OpenAI, Shopify, Stripe, Mastercard, Link, Shop Pay, PayPal, etc are trying jump into the game. I'm guessing medium and large enterprise, will develop their own version of Muse. But in the end, people do most of their shopping on an iphone/mac or Android/Chrome browser platform.

Your article is an evaluation of AI as a product that companies are trying to use to develop a niche. AI is not a product, its a technology. Apple's implementation of Siri is the right answer assuming they can get it to work (which I'm pretty confident they can). Google will do the same with Gemini on Android although they will have a challenge on promoting privacy given they are behind on a hardware platform that can support local AI.

In the mean time, purchasing agents will be a wild west experiment that Apple and Google will use to tune their implementation.

One additional point, Muse works fine with my web site. Including with users who already have an account and credit card on my web site. Users will want to log into my web site so they can get loyalty points. Can Muse (like Doordash et al) create a loyalty system that users prefer over my loyalty system. That's a more interesting question. Apple currently does not have a loyalty system using Apple Pay and neither does Google using Google Pay. I personally believe the war on where loyalty rewards accrue is the more interesting topic.

Alicja's avatar

My main concern would be the fact that advertising space could be bought within these agents. For example, if you search for the best mortgage deals, would the agent recommend the genuinely best option, or prioritise a company with high SEO rankings or one that has paid to appear in its recommendations? In the long run, this could distort competition and potentially push smaller businesses out of the market.

Take Coca-Cola as an example. It’s the same product sold at different prices across shops and supermarkets. If you were comparing options, you’d probably choose the cheapest one, rather than the supermarket that paid the most for advertising. I think the challenge is ensuring that AI agents genuinely act in the consumer’s best interests rather than the interests of whoever pays them the most.

Your point about using different cards for different purposes, such as Amex for flights and a Clubcard for supermarket points, is also a good one. There’s still a lot of functionality that would need to be coded and developed. However, given how quickly AI is advancing, I don’t think we’ll have to wait too long for these solutions to become a reality.

Regarding mistakes, I suspect we’ll still carry some liability, depending on the provider’s terms and conditions. It’s similar to asking your assistant (human 😂) to book a hotel: if they book the wrong dates, you’re still the one who has to sort it out and hope the hotel will refund you. I’m not sure you’d necessarily expect your assistant to reimburse you personally for the mistake. The same question applies to AI agents: where does the responsibility lie when something goes wrong?

Just some additional thoughts. Really interesting article, and apologies for the long comment!

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