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At a glance
WHAT IT’S REALLY ABOUT
AI agents reshape shopping, undermining search, trust, and attribution economics
- Search is fragmenting as users shift informational queries from Google to LLMs, while high-intent commercial queries largely remain with Google due to better reliability and current LLM hallucination issues.
- Affiliate marketing and last-click attribution have distorted online commerce incentives, rewarding “attribution theft” (e.g., coupon extensions) rather than true demand creation, and AI will make attribution even harder.
- AI’s biggest near-term impact is likely in the “middle” of the purchase spectrum—utility and moderately considered buys—through automated research, price watching, couponing, and execution when conditions match user preferences.
- The web’s quality problem (SEO-optimized “crap,” affiliate-driven listicles, fake reviews) limits the value of AI summarization, creating an unmet need for trusted, high-signal product evaluation sources.
- New opportunities emerge for specialized AI shopping agents and merchant infrastructure that supports agentic browsing, payments, and product data standards (UPCs/SKUs), potentially shifting the “GDP tax” away from Google and toward new intermediaries.
IDEAS WORTH REMEMBERING
5 ideasLLMs are taking “free” queries before they take “paid” queries.
They’re already absorbing non-monetizable informational searches, but commerce searches remain sticky with Google because users need accurate, current product data and dependable paths to purchase.
Affiliate economics incentivize content pollution, not truth.
When revenue depends on affiliate links, “best X” pages become optimized for commissions, so AI summarizing the open web can amplify biased or low-quality inputs unless the underlying incentives change.
Last-click attribution is structurally vulnerable—and AI worsens it.
Coupon tools can “steal” credit right before checkout, and with AI adding more touchpoints (Reddit, ads, LLM chats, agents), allocating credit across the journey becomes even less deterministic.
AI’s sweet spot is automating repeatable utility decisions, not creating desire.
Agents can excel at “I know what I want—get me the best price/terms,” but struggle to “inculcate demand” that comes from cultural signals like TikTok trends and social proof.
Product identity (UPC/SKU) determines how automatable a purchase is.
If an item has a standardized identifier, an agent can reliably comparison-shop and execute; without one (e.g., many furniture/home goods), AI must first resolve ambiguity, making automation harder.
WORDS WORTH SAVING
5 quotesThe World Wide Web is unhealthy right now. Most of the things on the internet are crap, and they're crap, and we know that they're crap, but they SEO optimize crap. So how do you decrapify that?
— Alex Rampell
The most kind of pervasively corrosive business model, I think, on the internet is this, like, last-click attribution.
— Alex Rampell
I probably use ChatGPT, like, three orders of magnitude more than I use Google now, which is interesting.
— Alex Rampell
Google... they kind of are a tax on GDP. Consumer spending is a huge part of GDP. They get a percentage of all that spend because they're charging per click. That tax might just shift elsewhere.
— Alex Rampell
My favorite business model for commerce by far is Costco. I think Costco is the greatest company in the world because Costco refuses to sell bad things.
— Alex Rampell
SPEAKERS
Alex Rampell
hosta16z investor and former founder/CEO of TrialPay, focused on commerce and marketplaces.
Justine Moore
hosta16z investor focused on consumer and commerce, including AI-driven shopping experiences.
High quality AI-generated summary created from speaker-labeled transcript.
