transition from typed search to voice search.

Link: research.google/blog/speech-...

state of the art has improved dramatically with tools like Macwhisper and Superwhisper, it's still not quite there.

Having something like S2R that would make this even better would be amazing.

There was a decade-long transition from desktop to mobile search, and we are now seeing an even faster-

with transcription errors)

This solves a decade-long problem. Say "Knowatoa," and even if it hears "no a toe uh," the semantic meaning still matches correctly.

I'm personally using voice-to-text constantly (literally right now) as I suffer from pretty bad RSI issues in my hands. And while the-

The only defense is proactive community engagement and a strong presence on Reddit before an attack or wave of negativity hits.

Link: larslofgren.com/codesmith-re...

problem).

This type of attack is now more dangerous, as Reddit content has become so prominent in both traditional and AI search results.

You might have near-perfect reviews on Google, Yelp, and Trustpilot, and a stray Reddit comment can still break through.

on the fly.

Link: www.engadget.com/ai/google-se...

wonder if this will make content more accessible and broadly available.

For years, non-English search markets have seen less competition simply because there were fewer sites in those languages; however, I suspect that's changing with LLMs (and AI Mode in particular), which can handle translations-

how much they'll reconsider if this becomes more widespread.

Link: www.futureofbeinghuman.com/p/when-chatg...

clarified when or on what topics ChatGPT will actually take action.

While any initiatives to stop things like CSAM and self-harm are commendable, it still feels disquieting not to have any guidelines.

We're clearly seeing users share much more intimate details of their lives with AI, and I wonder-

While I applaud the effort, given how fast AI is improving, it's hard not to think that the ability to identify AI-generated content algorithmically is a temporary state of things.

Link: blog.kagi.com/slopstop

marketers, SlopStop is a clear warning. Being filtered now extends beyond traditional SEO mistakes to include generic AI fluff that lacks value.

platforms like Pinterest, which now also has an AI filter option.

Kagi believes users will choose quality over quantity, a stance that contrasts with Google's ad-driven approach.

Sidenote: Did you see the report that ~10% of Meta's revenue is explicitly from scam advertisers?

For search-

they realize exactly how much their AI conversations reveal.

Link: www.engadget.com/ai/meta-will...

massive. Traditional keyword-based targeting looks primitive compared to "this person just spent 10 minutes asking our AI about switching to electric vehicles."

The question is whether users will accept this trade-off. My guess? Most won't care until they get an ad that's so eerily specific-

year-old who likes science?" and you've just told their ad system exactly what you're shopping for, in natural language, with full context.

This type of intent data is something Meta currently lacks, and it's clear they are desperate to pull more of it into their systems.

The implications are-

engine.

What's particularly clever (or insidious, depending on your perspective) is how this changes the value equation. Meta AI isn't just a product they offer - it's a data collection mechanism that people willingly use because it's helpful.

Ask Meta AI "what's a good birthday gift for a 10-

going, build strategies that are resilient to radical change. Focus on fundamentals that matter regardless of the interface: being useful, being trustworthy, being memorable.

Link: www.julian.ac/blog/2025/09...

article's conclusion is both inspiring and unsettling: if you're making strategic plans based on linear projections of AI capabilities, you're probably wrong. The only certainty is that things will change faster than you think.

My takeaway: Instead of trying to predict exactly where AI search is-

Voice synthesis crossed the uncanny valley so fast that most people missed it happening

For search marketers, this has profound implications. The AI search experience in 2027 won't be "today but better." It will likely be fundamentally different in ways we will struggle to keep up with.

The-