The AI hate is real

Today we’re looking at three signals that point to the same fault line in AI’s expansion. AI voice cloning is reshaping who gets heard in culture. Industry leaders say 2026 will reward infrastructure over imagination. And Pinterest users are walking away as AI-generated clutter breaks trust.

In today’s post:

• AI voices are changing power, not just creativity

• Why 2026 will be about operations, not hype

• How AI slop is quietly killing discovery platforms

• Free guides you can download now to automate tasks using AI

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What’s Trending Today

VOICE AI

AI voice cloning isn’t neutral, it decides who gets heard

AI voice cloning tools like ElevenLabs are changing music fast.
They promise creative freedom, but they quietly shift control over identity.

Here’s everything you need to know:

• Voice cloning turns something embodied into data, making identity easier to appropriate.

• Female artists like Grimes and Holly Herndon show consent-driven collaboration can work.

• The tension starts when men simulate female voices without lived experience or accountability.

• AI removes friction, letting creators bypass skill, training, and social consequence.

• Digital female artists often mirror compliant, brand-safe versions of womanhood.

• These voices feel human, but the power behind them is not equally shared.

• Confusion benefits platforms and producers more than the voices being mimicked.

Here’s what I think:

Technology doesn’t erase power dynamics, it concentrates them. When voice becomes programmable, identity becomes negotiable. The real question isn’t whether AI can speak beautifully. It’s who decides what that voice is allowed to say.

FUTURE OF TECH

The AI era shifts from spectacle to systems

AI in 2026 won’t look revolutionary. It will feel operational, embedded, and oddly invisible.

Here’s what’s going to happen:

• The hype cycle is ending as AI moves behind the scenes into workflows and infrastructure.

• Operational AI replaces demos, optimizing metadata, planning, yield, and reliability.

• Creativity isn’t automated away; distribution, packaging, and discovery are.

• AI becomes the front door to media, commerce, and decision-making.

• Generic models create sameness, making specificity the new competitive edge.

• Cultural intelligence and human judgment decide whether AI amplifies value or bias.

• Regulation and economics catch up as creators demand fair compensation.

Here’s what I think:

AI didn’t slow down our expectations matured. The real shift isn’t smarter machines. It’s quieter power, fewer shortcuts, and harder questions. In 2026, the winners won’t chase hype. They’ll build systems that actually hold.

AI HATE

Pinterest broke its promise

Pinterest used to be a place for real ideas. Now users are wondering if anything there works anymore.

This is happening:

• AI-generated pins are overwhelming search results meant for inspiration.

• Recipes look perfect but fall apart the moment someone tries them.

• Small errors expose a deeper problem: no human intent behind the content.

• Discovery turns into suspicion as users second-guess every result.

• The platform’s value was trust, not volume or speed.

• AI slop erodes that trust faster than bad ads ever did.

• Once usefulness disappears, habit follows it out the door.

Here’s what I think:

Discovery platforms live or die on credibility. AI can scale content, but it can’t fake care. When users stop trusting what they see, they stop searching. And no algorithm can recover from that.

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