📸 Small brands get big budget photos with Google AI

Google’s new Photoshoot feature in Pomelli is transforming simple product photos into beautifully lit, professionally styled images in seconds. A game-changer for anyone who wants eye-catching visuals without the studio price tag. Let’s dive in!

In today’s insights:

LATEST DEVELOPMENTS

Evolving AI: Google turns phone snaps into studio-ready product ads.

Google Labs has launched a new Photoshoot feature inside its Pomelli marketing platform. Users can upload a simple product image, even one taken on a phone, and the tool recreates it with studio-style lighting, styled backgrounds, and polished composition. It can add marble counters, cozy interiors, or clean gradients, refine shadows and textures, and apply ad-ready templates. Pomelli can scan your website and generate visuals that match your brand’s tone and colors. The feature is rolling out in the US, Canada, Australia, and New Zealand.

For small shops and sellers, product photos are often the bottleneck: you need them for ads, marketplaces, and your site, yet a proper shoot costs time and money. Pomelli’s new Photoshoot feature turns one phone pic into a set of studio and lifestyle images that match your brand look by learning your “Business DNA” from your website, then generating variations with Google’s Nano Banana image model. That means faster catalog refreshes, quicker A/B tests for ad creatives, and fewer “we’ll shoot it next week” delays for campaigns, especially for teams that live inside performance marketing. Right now it’s limited to the US, Canada, Australia, and New Zealand, which hints at Google treating it as a real product pipeline, not a demo.

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Evolving AI: If they can't align humans, how are they going to align AI.

At the India AI Impact Summit, Sam Altman and Dario Amodei stood side by side as political and tech leaders joined hands on stage. When prompted, the two AI CEOs raised their fists instead of linking hands, a moment that quickly spread online. The tension reflects deeper competition: Anthropic has criticized OpenAI’s ad experiments, even running Super Bowl spots poking fun at the move. OpenAI fired back, calling the ads misleading, as both firms battle for users, enterprise deals, and global influence.

The vibe between Altman and Amodei highlights a real split in how two of the biggest AI players want to shape the future of the tech. OpenAI is pushing ads and massive scale to try to make AI something billions use every day, while Anthropic has parlayed bold safety messaging and enterprise traction into serious market share gains and big funding flows. That divide plays out in roadmaps, pricing, and how businesses choose tools, and it’s one reason customers and builders are always watching who wins what next.

Evolving AI: Deepfakes are forcing a rethink of online trust.

Microsoft’s new report on media integrity reviews how authentication tools like C2PA provenance, watermarking, and digital fingerprinting perform against modern deepfakes. The team highlights gaps, from insecure offline cameras to platforms that strip metadata. One risk stands out: subtle edits can cause authentic media to be flagged as synthetic, fueling false claims. The report proposes “high-confidence authentication” by linking secure provenance data with hidden watermarks and layered validation methods.

Content online is becoming a minefield of real and fake media, and we’re starting to see why people care about proving what’s actually genuine. Laws like the EU’s AI Act are rolling out rules to label AI-generated stuff, and standards like C2PA are getting baked into tools and cameras so that a photo or video can carry a verifiable history with it. That means if a news outlet, a brand, or even a creator wants you to believe what you’re seeing, there’s now a practical way to show its origin and edit history rather than leaving everyone to guess at authenticity, and that shift from guessing to verifying will change both how creators publish and how audiences decide what’s real online.

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