What will Meta say during their next earnings call?

Prior to Meta's Q1 2026 earnings, sell-side analysts dedicated significant attention to the company's considerable Artificial Intelligence (AI) investments. A primary concern involved understanding how these substantial expenditures would influence future growth, especially within the core advertising business, and their broader effect on overall profitability. Analysts also examined whether the current momentum in advertising revenue growth would be sufficient to sustain these large-scale AI commitments ^{[^]}.

Reality Labs performance and capital allocation strategies were also key analyst inquiries. Another significant area of analyst inquiry centered on the performance of Meta's Reality Labs segment, encompassing the progress and financial ramifications of its metaverse development initiatives ^{[^]}. Furthermore, analysts closely examined Meta's broader capital allocation strategies. This included specific questions about share buybacks and the long-term viability and future trajectory of the company's newly introduced dividend policy, initially announced in Q4 2025. The overall health and growth indicators of the advertising business, such as Daily Active Users (DAU) and Monthly Active Users (MAU), consistently remained important points of interest ^{[^]}.

Meta's senior hiring prioritizes Artificial Intelligence (AI) across the company. An analysis of Director-level and above job postings since the last earnings call reveals an overwhelming strategic focus on AI. This is evident in numerous roles such as "Director, AI Research" ^{[^]} and "Director, Technical Program Management (Ranking AI)" ^{[^]}. This strategic push includes a "multimillion-dollar" AI hiring spree ^{[^]} and a significant $135 billion investment in AI ^{[^]}, aimed at attracting top talent, including researchers from other leading AI organizations ^{[^]}.

Senior roles focus on broad AI integration, not specific products. Job descriptions further indicate specialized AI endeavors, exemplified by roles like "Research Engineering Manager, Post-Training - Meta Superintelligence Labs" ^{[^]}, signaling a long-term commitment to advanced AI development. Meta is also actively restructuring internal divisions, notably reconfiguring Reality Labs into "AI pods" while simultaneously cutting other positions ^{[^]}. This reinforces a company-wide pivot towards an "AI-native" future ^{[^]}. Crucially, the analyzed senior-level job descriptions do not heavily feature keywords related to unannounced projects like 'Orion' or 'Hyperion', nor do they prominently mention established products such as 'Reels' or 'Threads' ^{[^]}. Instead, the emphasis is on general AI research, development, and strategic integration across the company, suggesting a broad, foundational AI push at this hiring level.

Google's Gemini 3.1 Pro release intensified AI competition, pressuring Meta. Google's recent release of its Gemini 3.1 Pro AI model in February 2026 significantly intensified the AI competition. Reports indicate this strategic move allowed Google to "reclaim the AI benchmark crown," placing it at the forefront of the AI model race and creating substantial pressure on rivals like Meta ^{[^]}.

Meta faces pressure, exploring Google partnership for AI strategy. The competitive impact is evident as Meta explores a partnership with Google for Gemini integration, following challenges with its own AI model development ^{[^]}. Financial media highlights this dynamic, drawing comparisons such as "Meta vs. Alphabet: One Just Handed Investors a 40% Return — The Other Is Still Stalling," underscoring Meta's perceived underperformance amid Alphabet's gains ^{[^]}. Consequently, Meta's management is anticipated to address its AI strategy, including progress on Llama models and potential collaborations, in upcoming discussions ^{[^]}.

Analysts frequently inquire about Meta's cloud infrastructure and capital expenditures. These discussions particularly focus on the company's AI infrastructure build-out and overall capital intensity. Brian Nowak of Morgan Stanley, Mark Shmulik from Bernstein, and Youssef Squali of Truist Securities have consistently raised these subjects across Meta's Q1, Q2, and Q3 2025 earnings calls. Additionally, Douglas Anmuth of JPMorgan and Eric Sheridan from Goldman Sachs have also posed questions concerning CapEx and AI infrastructure in at least two of the three most recent calls ^{[^]}. Their inquiries often center on the trajectory of capital expenditures, AI infrastructure development, and data center strategy.

Workforce management and headcount consistently feature in analyst discussions. While direct questions specifically about "hiring freezes" are not explicitly found in the transcripts, analysts regularly address "headcount" and "operating expenses," indicating a clear focus on workforce management. Youssef Squali inquired about "headcount outlook" and "total expenses" in Q1 2025, and again about "headcount trends" in Q3 2025 ^{[^]}. Mark Shmulik and Brian Nowak questioned "headcount and expenses" and "headcount and compensation," respectively, during the Q1 2025 call ^{[^]}. Furthermore, Justin Post of Bank of America and Eric Sheridan of Goldman Sachs asked about "headcount growth" and "employee growth" in Q2 2025 ^{[^]}.

Information on the upcoming analyst list is currently unavailable. The published analyst list for Meta's upcoming earnings call, scheduled for resolution on April 29, 2026, was not provided within the scope of the web research results.

No significant investigative reports by major outlets were published within the critical timeframe. Research indicates that no significant investigative reports from major news outlets, specifically the Wall Street Journal or The Information, were published between April 26 and April 29, 2026. This 72-hour period immediately preceded Meta's earnings call on April 29, 2026. Consequently, no "narrative-setting" article on a specific Meta division or product from these designated sources was identified within this crucial window.

Several identified reports did not meet the established research criteria. While other articles were found, they failed to meet the specified requirements for various reasons. For instance, an article citing the Wall Street Journal about Meta's AI chatbots engaging in explicit sexual roleplay with minors was published on April 28, 2025 ^{[^]}, falling outside the required 72-hour window. Similarly, a TechCrunch report from April 23, 2026, detailing Meta's new policy allowing parents to view topics their children discussed with Meta AI ^{[^]}, also predated the critical 72-hour period and was characterized as a policy update rather than an investigative report from a designated major news outlet. Furthermore, articles from The Information discussing Meta's AI market strategy ^{[^]}, potential layoffs ^{[^]}, or an executive departure ^{[^]} were classified as briefings or news, not significant investigative reports, and lacked specific publication dates within the critical timeframe.

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