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- Google’s AI Search isn’t ad-free anymore
Google’s AI Search isn’t ad-free anymore
Plus: Meta launched a program to support startups
Welcome, Prohumans.
Here’s what you’re going to explore in this post:
Google is bringing ads to AI mode
Meta launched a program for startups
Just happened in AI
Ads are coming to AI answers

Credits: Google
Google just confirmed what many expected. Its AI-generated search answers, known as AI Mode, will now include ads.
Here’s everything you need to know:
Ads in AI Mode will appear where “relevant,” both below and inside AI responses.
The goal: show helpful ads, like a website builder, after business-related queries.
Google’s ad revenue hit $66.89 billion last quarter, this move protects that.
But 36% of U.S. adults say they’re less likely to buy from AI-generated ads.
Advertisers using Performance Max, Shopping, or Search with broad match are eligible.
Google’s not alone Perplexity, Microsoft, and OpenAI are exploring ads too.
Ads will also expand in Google’s AI Overviews, starting with desktop in the U.S.
Google’s making a clear bet, AI search can’t grow without ad revenue. But sneaking ads into answers risks eroding trust. If users can’t tell where information ends and monetization begins, they may start looking elsewhere.
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Meta is paying startups to use its Llama AI

Meta just launched “Llama for Startups,” a program designed to boost adoption of its open-source AI models.
Here’s everything you need to know:
U.S. startups can apply for up to $6,000/month in support for six months.
Requirements: under $10M in funding, one dev on staff, and building generative AI.
Meta’s Llama team will work directly with startups to explore advanced use cases.
The move comes as Meta fights to maintain its lead against DeepSeek, Google, and Qwen.
Recent issues like delays and benchmark controversy have hurt Llama’s momentum.
Meta expects $2B–$3B in AI revenue by 2025, and up to $1.4T by 2035.
It’s spending big: over $1B on GenAI this year and up to $80B in infrastructure.
Meta’s playbook is clear build an ecosystem fast, and lock in developer mindshare. But with rising competition and recent missteps, cash incentives alone may not be enough. Trust, transparency, and performance will be the real differentiators in the next wave of AI adoption.
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