Snap CEO praises AI for writing two-thirds of the company’s code but warns fellow tech executives underestimate ‘societal pushback’ to the tech

Snap launched AI Sponsored Snaps, a new ad product that lets users chat with AI bots from brand partners, underscoring the company’s deeper push into AI. The article also highlights Snap’s 71% year-over-year subscriber growth to more than 25 million paid subscribers and 2025 revenue growth of 11% to $5.9 billion, but frames the opportunity against broad public skepticism toward AI. CEO Evan Spiegel said AI now writes two-thirds of Snap’s code and cautioned that societal pushback could intensify as AI adoption accelerates.

Analysis

SNAP’s real option value is not the AI feature itself, but its position as a low-friction sandbox where consumer AI can be monetized without the backlash risk that harder-edged enterprise or search products face. If users tolerate conversational brand bots inside a social app, that creates a template for “commerce-as-chat” and could lift ad pricing via higher-intent formats before the market re-rates the broader category. The second-order winner is likely adjacent ad-tech and measurement vendors that can prove incremental conversion from AI-native placements; the loser is any platform betting on passive feed ads alone.

The market is underestimating how sentiment-driven this rollout is. In the near term, AI skepticism becomes a gate on adoption velocity, but it also acts as a moat for incumbents with trusted consumer brands and existing engagement loops. That means SNAP can benefit from being a “safer” AI brand relative to more controversial AI names, while smaller ad-tech pure plays may struggle to justify similar launches because users are less forgiving when the product itself feels experimental.

The key risk is that AI monetization at the consumer layer can cannibalize traditional ad inventory if chat interactions reduce scroll time, especially if the bot experience is sticky but not commerce-positive. Over 3–6 months, watch for whether brand-sponsored interactions lift ARPU or simply shift spend from existing formats; if there is no measurable lift, the market will treat this as innovation theater. Over 12 months, the bigger catalyst is whether Snapchat can package AI tools as a performance product for SMBs, which would expand the TAM and reduce dependence on volatile brand budgets.

Contrarian view: the consensus will likely overfocus on headline AI sentiment and underappreciate SNAP’s ability to normalize AI through entertainment rather than utility. That makes the stock less about AI enthusiasm and more about execution discipline in turning cautious user behavior into monetizable engagement. If management can show even modest conversion uplift, the multiple expansion could be larger than the earnings contribution because investors will start to price SNAP as a differentiated AI distribution layer rather than just another social app.

Key Decisions for Investors

• Long SNAP into the next quarterly print, sized as a catalyst trade: upside if AI Sponsored Snaps lifts ARPU or ad load without engagement damage; cut quickly if management fails to show measurable monetization traction.
• Pair trade: long SNAP / short a higher-beta social ad name with weaker product differentiation over 3–6 months, betting that SNAP’s AI format is easier to adopt because it sits inside an existing consumer habit loop.
• Buy SNAP call spreads 3–6 months out to capture a rerating if the market starts valuing the company as an AI distribution platform; cap premium risk given execution uncertainty.
• Short-date hedge: own SNAP equity but buy downside puts around the next product/earnings update if you expect investor skepticism about AI sentiment to create a sell-the-news reaction.
• Avoid chasing broad AI ad-tech names until there is evidence of incremental ROI from conversational ads; the first wave is likely to reward firms with direct consumer reach and penalize intermediaries without proprietary demand.