AI Becomes a Core Business Engine, Not a Side Feature
Snap’s latest quarter underlines how deeply Snapchat AI features are now embedded in the company’s strategy and balance sheet. Daily active users climbed to 483 million and monthly active users reached 956 million, while revenue grew 12% year-over-year to USD 1.53 billion (approx. RM7.06 billion). Crucially, Snap narrowed its net loss to USD 89 million (approx. RM411 million) and improved cash flows, helped by AI-powered ad automation and growing subscription income. Around 70% of ad spend now relies on AI tools such as Smart Audience, Smart Budget, and Smart Placement, signalling that social media AI integration is no longer experimental but foundational to mobile app monetization. Snap is positioning itself less as a pure messaging or social media app and more as an AI-powered communication and computing layer that can sit above feeds, formats, and even hardware, from smartphones to future AR glasses.
Conversational Advertising Pushes Ads Inside Private Chats
Snap’s most aggressive experiment in mobile app monetization is happening inside the chat window. Sponsored Snaps in Chat have moved advertising out of public feeds and into private conversations, where users spend most of their time. Nearly three-quarters of US Chat daily active users saw ads in Chat during the quarter, and the format is delivering: Snap reports a 226% surge in click-through rates and a 59% increase in seven‑day conversion volumes. Behind this is a growing stack of AI capabilities, from large language model–based intent detection to multimodal product retrieval trained on platform data. These systems allow conversational advertising to feel more like contextual suggestions than generic placements. Snap is also testing AI-sponsored Snaps that let brands interact with users via chatbots, pointing toward a blended future of customer support, conversational commerce, and personalised promotion inside everyday messaging threads.
From Feeds to Friend-Centric Engagement and AI-Driven Discovery
While rivals double down on creator broadcasts and algorithmic feeds, Snap is betting that intimate communication plus lightweight entertainment will win long-term engagement. The platform is adding conversation starters such as topic chats, games, and content-sharing features that keep users talking rather than merely scrolling. During March Madness, Topic Chats alone generated over 90,000 messages and saw peak participation above 40,000 users, illustrating how event-based conversation can spark dense activity. Games have become another pillar, with 255 million monthly active users engaging, blurring the line between social interaction and casual play. Spotlight, Snap’s short‑video hub, is also surging, with shares and reposts up 62% globally and 124% in the US, and an 11% rise in time spent watching. AI-driven recommendation systems now personalise these Spotlight feeds, showing how social media AI integration is shifting discovery from follower graphs to predictive, interest-based algorithms.
Subscriptions and AR Point to a Platform-Agnostic Future
Snap’s growing subscription business underscores its ambition to be more than an ad-funded social network. “Other Revenue” climbed 87% year-over-year to USD 285 million (approx. RM1.32 billion), driven mainly by Snapchat+ and premium features like expanded Memories Storage and Lens+. Subscriptions deepen direct relationships with users, smooth revenue volatility, and boost margins, giving Snap a second growth engine alongside ads. AI is woven into this model too, with AI-powered Lens interactions helping convert users into premium tiers. Beyond the phone screen, Snap continues to invest in AR glasses, preparing to launch Specs smart glasses and expanding its Lens Studio and Snap OS ecosystems. Lens submissions for Specs rose 28%, and early demos span education, gaming, collaborative design, and AI-assisted experiences. Together, subscriptions, AR, and AI suggest Snap is building a platform-agnostic service that could eventually extend far beyond today’s mobile social media patterns.
Opportunities and Risks in AI-Driven Social Platforms
Snap’s evolution highlights both the upside and tension in AI-first social design. On one hand, AI-optimised advertising and conversational formats are clearly improving monetization efficiency, particularly through performance products like Dynamic Product Ads and app-purchase campaigns, which have seen strong growth. On the other hand, pushing conversational advertising into private chats risks user fatigue if the experience feels intrusive rather than helpful. AI recommendation engines and chatbots can also raise questions around transparency, safety, and data use, at a time when regulatory scrutiny of privacy, AI governance, and youth protection is intensifying. Competitive pressure from giants investing heavily in social media AI integration remains fierce, while macroeconomic and geopolitical factors can still dampen ad demand. Snap’s challenge is to keep conversations, creator content, and AR experiences feeling authentic and user-first, even as AI increasingly orchestrates how attention is captured and how value is extracted.