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Fiverr Cuts 250 Jobs In Shift To “AI-First Company” Strategy
The gig-economy platform will cut 30% of its staff in the upcoming pivot, citing productivity gains from automation and a flatter structure.
Fiverr is laying off 250 employees — around 30 percent of its workforce — as the gig-economy platform pivots to an AI-first company. CEO Micha Kaufman announced the move in an essay posted to X, describing it as a shift back toward a startup-style operation with fewer management layers.
— Micha Kaufman (@michakaufman) September 15, 2025
Kaufman said the cuts reflect a new operating model: “An AI-first company that’s leaner, faster, with a modern AI-focused tech infrastructure, a smaller team, each with substantially greater productivity, and far fewer management layers,” he wrote. Fiverr has already deployed AI in customer support and fraud detection, reducing its need for headcount to maintain core services.
Hints that Fiverr might use AI to justify layoffs surfaced earlier this year. In a May interview with CBS News, Kaufman advised employees to “automate 100 percent” of their work with AI, while arguing they would still be needed for judgment calls and non-linear thinking. That advice has not shielded Fiverr’s own staff from redundancy.
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Fiverr’s announcement follows a wider pattern across the tech sector in 2025, with companies citing AI to rationalize job cuts. Duolingo declared its intention to become “AI-first” back in April, and Workday announced plans in February to cut 1,750 positions — far more than Fiverr but driven by the same pivot toward automation.
For affected employees, the outcome is familiar: fewer people left to shoulder more work. For Fiverr, the gamble is betting that automation will keep it competitive in a crowded gig-work market where platforms are racing to integrate artificial intelligence.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
Nano Banana 2 Arrives In MENA For Google Gemini Users
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