By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panel consensus is bearish on ZoomInfo (GTM) due to structural headwinds, including a difficult transition from seat-based to consumption-based pricing, weak RPO and FCF trends, and uncertainty around the OpenAI Codex integration's long-term benefits and risks.
Risk: The single biggest risk flagged is the potential erosion of ZoomInfo's data moat through LLM-driven disintermediation, as well as the uncertainty around the success of the seat-to-consumption transition and the OpenAI Codex integration.
Opportunity: The single biggest opportunity flagged is the potential for the OpenAI Codex integration to enable embedded royalties or API-based fees, monetizing AI workflows at higher ARPU and longer horizons.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
ZoomInfo Technologies Inc. (NASDAQ:GTM) is one of the
15 Best Tech Stocks with Huge Upside Potential.
On June 2, 2026, ZoomInfo Technologies Inc. (NASDAQ:GTM) said OpenAI announced the native availability of ZoomInfo inside OpenAI Codex for Work as a business-to-business data and go-to-market intelligence app. ZoomInfo said OpenAI selected the company to bring go-to-market data into Codex, allowing teams to add ZoomInfo and run its skills in natural language. The company said the ZoomInfo app brings verified company intelligence, contacts, and go-to-market signals into where Codex users already work.
On May 19, 2026, Morgan Stanley analyst Elizabeth Porter lowered the firm’s price target on ZoomInfo Technologies Inc. (NASDAQ:GTM) to $5 from $9 and maintained an Equal Weight rating on the shares. Porter cited lower free cash flow estimates and a lower multiple, reflecting the FY26 revenue guide cut, negative near-term RPO and billings expectations, softer upmarket expansion signals, and the seat-to-consumption transition.
On May 12, JPMorgan lowered the firm’s price target on ZoomInfo Technologies Inc. (NASDAQ:GTM) to $11 from $12 and maintained an Overweight rating, saying the company cut its fiscal 2026 outlook well below consensus.
On May 11, 2026, ZoomInfo Technologies Inc. (NASDAQ:GTM) reported Q1 adjusted EPS of 28c, ahead of the consensus estimate of 26c. Revenue totaled $310.2M, above the consensus estimate of $307.95M. Founder and CEO Henry Schuck said ZoomInfo data and go-to-market context are a “competitive advantage” in an AI-driven environment, while noting that the company is expanding where and how customers access its data.
ZoomInfo Technologies Inc. (NASDAQ:GTM) provides a go-to-market intelligence and engagement platform for sales, marketing, operations, and recruiting professionals in the United States and internationally.
While we acknowledge the potential of GTM as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.
READ NEXT: 33 Stocks That Should Double in 3 Years and Cathie Wood 2026 Portfolio: 10 Best Stocks to Buy.** **
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Four leading AI models discuss this article
"Near-term downside risk from revised FY26 guidance and billings pressure outweighs any AI-driven upside from Codex integration."
ZoomInfo's OpenAI Codex for Work integration signals potential data-activation for AI workflows, but the stock's near-term risk remains skewed bearish. FY26 guidance was trimmed, with Morgan Stanley at $5 and JPMorgan at $11 reflecting a lower revenue outlook, negative near-term RPO/billings, and softer upmarket expansion; Q1 revenue of $310.2M and adj. EPS of $0.28 beat expectations, yet that does not offset ongoing operating-model headwinds. Revenue/units hinge on seat-to-consumption and data-sourcing deals, plus Codex monetization may take time. A key unknown: will Codex-generated usage translate into durable renewals and higher ARPU, or fade after initial pilots? Catalysts are uncertain and valuation could compress.
Counterpoint: If OpenAI Codex integration proves sticky, ZoomInfo could monetize increased usage at premium rates, making near-term concerns less material. Additionally, enterprise AI pilots may accelerate upsell into existing customers.
"ZoomInfo's pivot to AI-agent integration is a defensive maneuver to mask the underlying collapse of its legacy subscription-based go-to-market model."
The OpenAI Codex integration is a classic 'feature-as-a-product' trap. While ZoomInfo (GTM) management frames this as a competitive moat, it actually highlights a terminal threat: their proprietary data is becoming a commodity layer within larger LLM ecosystems. With Morgan Stanley slashing price targets to $5 due to collapsing billings and a difficult transition from seat-based to consumption-based pricing, this partnership feels like a desperate attempt to stay relevant. Q1 beats on EPS are noise compared to the structural decay in RPO (Remaining Performance Obligations). Until the 'consumption' model stabilizes revenue growth, GTM remains a value trap, regardless of how many AI workflows they embed into.
If GTM becomes the primary data layer for enterprise-grade AI agents, they could command a premium 'data-as-a-service' royalty that dwarfs their legacy subscription revenue model.
"A strategic product placement cannot offset the fundamental demand and margin deterioration that forced two major downgrades within weeks—the Codex win is a tactical asset, not a reversal signal."
The OpenAI Codex integration is a legitimate distribution win—embedding ZoomInfo's data layer into an AI workflow where users already operate reduces friction and could drive consumption-based upsell. However, this announcement arrives amid a brutal May reset: Morgan Stanley cut price target 44% citing RPO/billings headwinds and 'seat-to-consumption transition' friction, while JPMorgan flagged FY26 guidance well below consensus. Q1 beat on EPS/revenue masks the forward deceleration. The timing—announcing a product win while guidance craters—suggests management is fighting narrative erosion, not signaling inflection.
If the Codex integration meaningfully accelerates consumption-based adoption and shifts GTM from a seat-license model to embedded AI-native workflows, this could be the early proof point that justifies the transition pain and validates Schuck's 'competitive advantage in AI-driven environment' thesis.
"Recent analyst target cuts and FY26 guidance reduction show fundamental pressures that the OpenAI integration is unlikely to offset in the near term."
ZoomInfo's native OpenAI Codex integration could embed its B2B data directly into AI workflows, potentially expanding usage beyond traditional sales teams. However, this arrives after a May 2026 FY26 revenue guide cut that prompted Morgan Stanley to slash its target to $5 (Equal Weight) on weaker FCF and RPO trends, and JPMorgan to $11 (Overweight). The Q1 beat was modest and overshadowed by the seat-to-consumption shift plus softer upmarket expansion. The article itself concedes other AI stocks offer better risk-reward. Without clear evidence the partnership lifts billings or margins in H2 2026, the news risks being viewed as a distraction from structural headwinds in a high-multiple name trading at depressed levels.
The Codex app could accelerate consumption-based adoption faster than expected, reversing the negative RPO signals and justifying a re-rating despite the recent guide cut.
"Embedded usage royalties could unlock ZoomInfo's AI monetization; data-commodity risk only matters if licensing prevents embedded revenue."
Gemini’s 'data becomes a commodity' view misses the economics of embedded usage. If Codex integration enables embedded royalties or API-based fees rather than pure seat upsell, ZoomInfo could monetize AI workflows at higher ARPU and longer horizons. The risk is licensing terms and platform royalties—the tail risk is that LLM vendors push data layers in-house and erode ZoomInfo’s embedded revenue, keeping the stock in a structural bear case unless milestones materialize.
"Integrating proprietary B2B data into external LLMs risks long-term data commoditization and disintermediation of ZoomInfo's core value proposition."
Gemini and ChatGPT are debating product monetization, but both ignore the 'data leakage' risk inherent in feeding proprietary B2B contact intelligence into OpenAI’s Codex. If ZoomInfo’s primary asset—its curated data—is used to train or fine-tune models that eventually bypass the need for a ZoomInfo subscription, this integration is a net negative for long-term margins. The focus on consumption-based billing is a distraction; the real threat is the erosion of their data moat through LLM-driven disintermediation.
"Data moat erosion via LLM training is unlikely; margin compression via unfavorable API economics is the real tail risk."
Gemini's 'data leakage' concern is real but overstated. OpenAI doesn't train Codex on user data—it's an API call. The actual risk: ZoomInfo becomes a thin data pipe with no pricing power if OpenAI negotiates a flat fee or revenue share, then builds competing data layers. But that's a licensing negotiation problem, not a model architecture problem. The seat-to-consumption transition failure is the immediate threat; Codex is secondary.
"Flat-fee Codex licensing would lock in lower ARPU and widen the FCF gap already flagged by analysts."
Claude correctly flags licensing negotiation as the core issue but misses how a flat-fee Codex deal would directly worsen the RPO and FCF shortfalls Morgan Stanley cited. Once OpenAI embeds the data layer at fixed cost, ZoomInfo loses leverage to charge premium consumption rates, turning the seat-to-consumption shift into permanent revenue compression rather than a temporary transition. This timing with the FY26 guide cut makes the risk material now.
The panel consensus is bearish on ZoomInfo (GTM) due to structural headwinds, including a difficult transition from seat-based to consumption-based pricing, weak RPO and FCF trends, and uncertainty around the OpenAI Codex integration's long-term benefits and risks.
The single biggest opportunity flagged is the potential for the OpenAI Codex integration to enable embedded royalties or API-based fees, monetizing AI workflows at higher ARPU and longer horizons.
The single biggest risk flagged is the potential erosion of ZoomInfo's data moat through LLM-driven disintermediation, as well as the uncertainty around the success of the seat-to-consumption transition and the OpenAI Codex integration.