Meta’s AI optimism campaign now needs proof in the product

The film is careful about what it does not promise. It does not name a particular feature, launch date, market or measure by which “for everyone” could be tested. Its imagery of creators, celebrities, reunions and communities establishes an aspiration, not a product specification.

There is a product and infrastructure strategy behind it

The absence of product detail in the creative should not be mistaken for an absence of product activity. In April, Zuckerberg said Meta had released its first model from Meta Superintelligence Labs and that the company aimed to deliver “personal superintelligence” to billions—an executive claim in Meta’s earnings release, not a reported product outcome. The campaign account also says Meta recently launched a new version of its Muse Spark LLM and AI-powered Ray-Ban and Oakley smart glasses.

The money behind that effort is substantial but needs the right label. Meta forecast 2026 capital expenditures, including principal payments on finance leases, of $125 billion to $145 billion, up from its earlier $115 billion to $135 billion range. The company attributed the increase to higher component prices and, to a lesser extent, added data-center costs for future capacity. That is a company forecast for a broad capital program, not a disclosed AI-advertising budget or a promised return from this campaign.

Its first-quarter figures show why the company can sustain that bet: $56.31 billion in revenue, including $55.02 billion in advertising revenue; $19.84 billion in capital expenditures including finance-lease principal payments; and $32.23 billion of operating cash flow. Those are results for the three months ended March 31, not evidence that the film will earn a return or that any particular consumer AI feature will succeed.

U.S. adults’ expectations of AI’s impact on society over the next 20 years. Source: Pew Research Center. Source: Pew Research Center.

Agency is the claim that needs the most detail

Meta’s own disclosures complicate a simple reading of the campaign as either empty reassurance or a complete user-rights program. The company says its 2025 plan to personalize content and ad recommendations using interactions with its generative-AI features came with user notifications and tools. Its proxy statement specifically names Ads Preferences and feed controls that let users adjust content and ads, and says its audit and privacy committee oversees generative-AI product compliance and privacy practices.

Those are company descriptions of existing controls and internal governance. They do not, on their own, answer how every new AI feature will work, how available each choice will be in practice, or how outcomes will differ across countries and products. That distinction matters because the campaign’s language of agency is much broader than the controls it names.

The public-opinion problem is likewise real but not Meta-specific. In a February survey of U.S. adults, Pew Research Center found that 40% expected AI’s impact on society over the next 20 years to be negative, versus 16% who expected it to be positive. The survey does not measure trust in Meta or the campaign’s effect. It does show the gap the company is trying to address.

The use of David Bowie’s “Five Years” sharpens rather than resolves that tension. A contemporary critique notes that the song is about a five-year warning of human extinction, while the film moves from anxious headlines to cheerful scenes. That is a critique of the creative choice, not evidence of Meta’s intent; the available materials do not give the company’s rationale for the soundtrack.

What would turn the slogan into evidence

The next test is not whether the film travels well. It is whether Meta gives people and investors a way to assess the underlying promise as products reach its services. Useful evidence would include:

• the specific AI features, apps, countries and rollout terms covered by “for everyone”;
• clear, feature-level explanations of what data is used, what choices people have and what each choice changes; and
• outcome reporting that separates access and user experience from adoption, engagement and advertising results.

Meta has the distribution, capital plan and founder control to make its AI strategy consequential. Its campaign asks the public to judge the strategy by intention. The next decisions—product design, default settings, availability and disclosure—will show whether its stated commitment to connection and agency is something users can actually evaluate.