NextFin News - AI-powered design platform Picsart has officially launched a creator monetization program open to its entire user base, a move that signals a strategic shift from a pure utility tool to a revenue-sharing ecosystem. The program, titled "Earn with Picsart," removes traditional barriers to entry such as invite-only lists or minimum follower counts, instead tying compensation directly to content performance and engagement metrics across social media platforms.
The initiative arrives as the creator economy faces a structural reckoning. While platforms like YouTube and TikTok have long offered revenue sharing, those programs typically favor the "head" of the creator tail—users with hundreds of thousands of followers. Picsart’s approach targets the "long tail" of everyday creators. Participants are invited to complete specific creative challenges using the platform’s suite of AI tools, such as the Aura conversational assistant, and then share the results on Instagram, TikTok, YouTube, or X. Earnings are calculated based on a proprietary mix of views, comments, shares, and reach, with payouts handled via Stripe.
Hovhannes Avoyan, founder and CEO of Picsart, characterized the move as a necessary correction to a "structural problem" in the industry where platforms fail to compensate the average user. Avoyan, who has led the company since its 2011 inception, has historically maintained a growth-oriented but disciplined stance on valuation. Under his leadership, Picsart reached unicorn status in 2021 following a $130 million Series C led by SoftBank Vision Fund 2. However, in recent industry forums, Avoyan has expressed caution regarding the "vibe-based" valuations of smaller AI startups that lack sustainable revenue models, positioning Picsart as a more grounded, revenue-focused incumbent in the generative AI space.
From a competitive standpoint, the monetization program is a defensive and offensive maneuver against Adobe and Canva. While Adobe has integrated generative AI through Firefly and offers a contributor model for its stock library, it remains largely a professional-grade ecosystem. Canva, meanwhile, has focused heavily on enterprise and collaborative design. Picsart is betting that by incentivizing its 130 million monthly active users to flood social media with "Made with Picsart" content, it can lower its customer acquisition costs while simultaneously building a moat of user loyalty that pure-play AI generators lack.
However, the program introduces significant operational risks. By rewarding "performance" rather than "scale," Picsart may inadvertently encourage the production of low-quality, engagement-baiting content that could dilute its brand equity. Furthermore, the reliance on third-party social media algorithms for reach means that Picsart’s payout liabilities are tethered to platforms it does not control. If TikTok or Instagram adjust their algorithms to deprioritize AI-generated content—a trend already surfacing in 2025—the earning potential for Picsart creators could evaporate, rendering the program less effective as a retention tool.
The financial implications for Picsart are equally complex. With estimated annual revenues hovering around $260 million, the company is transitioning from a high-margin SaaS subscription model to one that includes a variable payout component. This shift could pressure margins in the short term as the company subsidizes these initial campaigns to gain market share. The success of the program will likely depend on whether the increased user engagement and social media visibility can drive enough new "Gold" subscriptions to offset the cost of the creator payouts.
This monetization push follows the recent launch of Picsart’s AI agent marketplace, where users can "hire" specialized AI assistants for tasks like social media remixing and Shopify product editing. Together, these moves suggest a broader ambition: transforming Picsart into a comprehensive "creator operating system" where AI handles the labor and the platform handles the commerce. Whether the "everyday creator" can actually earn a meaningful income in an increasingly saturated AI content market remains the central uncertainty of this expansion.
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