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Truist says Meta has found its next $20 billion business, stock set to gain more than 40%

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Truist says Meta has found its next $20 billion business, stock set to gain more than 40%

Truist reiterated a buy rating on Meta with an $840 price target, implying nearly 44% upside from Monday's close. The firm sees Meta building a meaningful new subscription revenue stream, estimating more than 360 million paid subscriptions and over $20 billion of high-margin revenue by 2030, with Instagram Plus potentially contributing about $10 billion annually. New paid offerings across Facebook, Instagram, WhatsApp and Meta AI reinforce a more diversified monetization model beyond digital ads.

Analysis

This is less about an incremental monetization line item and more about Meta expanding its revenue mix into a higher-multiple, lower-cyclical stack. If paid tiers actually gain traction, the market should start assigning a modest software/platform take-rate premium to a business currently valued almost entirely on ads and capex discipline. The second-order effect is that paid products also create a data flywheel: willingness-to-pay segments are likely to be the heaviest AI users, which improves model tuning and raises switching costs without requiring proportional ad-load expansion.

The competitive read-through is more interesting for GOOGL than for ad peers. Google’s subscription success came from bundling utility into a broader ecosystem; Meta can mimic that, but with a larger consumer surface area and weaker direct subscription culture, so the key question is not product availability but conversion friction. If Meta can convert even a low-single-digit share of its installed base over the next 12-24 months, it can change investor perception from "ads with optional AI" to "consumer platform with embedded recurring revenue," which supports multiple expansion before earnings meaningfully inflect.

The main bear case is adoption elasticity: consumers may accept paid enhancements in one app, but balk at paying across multiple apps unless there is a clear bundle or enterprise-like productivity benefit. Also, premium AI offerings can become margin dilutive before they become margin accretive if usage spikes faster than price realization; that creates a near-term capex/opex overhang even if long-term economics are attractive. Near-term catalysts are product cadence and pricing tests over the next 1-3 quarters; the key failure mode is a soft launch with low conversion, which would force the market to re-rate this as a narrative rather than a revenue stream.