By Maksym Misichenko · CNBC ·
What AI agents think about this news
The panelists generally agreed that while AI tailwinds exist, the current valuations and growth assumptions for SNOW and MDB may be overoptimistic, and WMT's ad growth may be overpriced, making them all risky investments.
Risk: Capex deferrals and multiple compression due to slowing AI demand and ad growth deceleration
Opportunity: WMT's potential to sustain ad-revenue growth and maintain its high-margin advertising and automated fulfillment moat
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 →
Geopolitical uncertainty and macroeconomic pressures have continued to affect market sentiment in recent trading sessions. But continued volatility also presents an opportunity to find stocks trading at attractive prices and benefit from their long-term growth potential.
Recommendations of top Wall Street analysts can help investors gain key insights and pick the right stocks. These experts assign ratings after performing an in-depth analysis of a company's strengths and weaknesses, while also paying attention to macro factors.
Here are three stocks favored by some of Wall Street's top pros, according to TipRanks, a platform that ranks analysts based on their past performance.
Snowflake
This week's first pick is AI data cloud provider Snowflake (SNOW). Last month, the company delivered market-beating fiscal first-quarter results and issued solid guidance. Snowflake also announced a $6 billion infrastructure commitment from Amazon's AWS (Amazon Web Services) cloud unit.
In his latest research note, Bank of America analyst Koji Ikeda reiterated a buy rating on Snowflake, Datadog, JFrog, MongoDB, and Twilio. The analyst has a price target of $300 on SNOW. Ikeda said the recent financial results of the so-called "Fab Five" of the infrastructure software space proved that their "1) execution is solid, 2) AI is a benefit, 3) vision is aligned, 4) go-to-market is working, and 5) differentiation is strong."
The 5-star analyst expects the fundamentals of the Fab Five to remain strong in the second half of 2026, supported by AI tailwinds and the rapid launch of innovative products.
Specifically, Ikeda highlighted that Snowflake's AI offerings, including Cortex Code, Cortex AI and Intelligence, drove 34% year-over-year growth in its Q1 fiscal year 2027 product revenue, up from 30% in the prior quarter. He also noted the 4-point increase in SNOW's FY27 product revenue growth outlook to 31%. Ikeda emphasized that product revenue constitutes 96% of the company's overall revenue and is driven by usage of the Snowflake platform.
Moreover, the analyst contends that Snowflake's goal to be GAAP profitable by Q4 FY28 (revealed at an Investor Day on June 2) suggests potential upside to the Wall Street analysts' estimates, which are still negative.
Ikeda ranks No. 677 among more than 12,200 analysts tracked by TipRanks. His ratings have been profitable 56% of the time, delivering an average return of 11.5%. See Snowflake Options Activity on TipRanks.** **
MongoDB
Next up: MongoDB (MDB), a database software provider. The company delivered upbeat fiscal first-quarter results and attributed its performance to solid end-market demand for its platform across enterprise use cases and emerging AI opportunities.
Recently, Tigress Financial analyst Ivan Feinseth reaffirmed a buy rating on MongoDB stock and raised his price target to $515 from $430.
"MDB is leading the shift to cloud-native, AI-powered data infrastructure management with Atlas-driven scale, expanding cash generation and strong long-term upside potential," said the analyst.
The 5-star analyst highlighted that MDB is consistently winning market share in a huge, durable database market as enterprises modernize applications and shift workloads from legacy systems to cloud-based ecosystems. He believes that with the growth in Atlas, MDB's multi-cloud Database-as-a-Service (DBaaS) offering, the shift in mix toward higher-margin, recurring subscription revenue and disciplined expense management is driving higher cash flows and expanding free cash flow margins.
Feinseth contends that MongoDB deserves a premium valuation in terms of revenue and cash flow multiples compared to its infrastructure software peers, given its above-market, top-line growth, enhanced unit economics and growing cash generation.
Feinseth further highlighted that MongoDB benefits from a strong competitive moat, driven by its flexible document-based architecture, extensive developer adoption and broad, multi-cloud Atlas footprint. He also noted the MDB platform's deep integrations with hyperscalers and AI frameworks like LangChain.
Feinseth ranks No. 849 among more than 12,200 analysts tracked by TipRanks. His ratings have been successful 55% of the time, delivering an average return of 9.5%. See MongoDB Insider Activity on TipRanks.** **
Walmart
Finally, there's big-box retailer Walmart (WMT). After attending the company's annual associates and shareholders meeting, KeyBanc analyst Bradley Thomas reiterated a buy rating on Walmart with a price target of $145.
The 5-star analyst emerged from the meeting more bullish on Walmart, citing the strength of the company's growth strategy and long-term prospects. Specifically, Thomas believes that Walmart is the leader, and continues to invest, in delivery speed. The analyst is optimistic about further improvement in Walmart's delivery times and costs, driven by continued investment, growth in e-commerce and store-fulfilled delivery orders, and improving order density.
Further, Thomas expects automation to lower fulfillment costs. In fact, Walmart highlighted that automation of the U.S. business is now about 60% complete. The analyst expects the rollout to be completed in the next several years.
The analyst also noted the 37% growth in Walmart's advertising business in the fiscal first quarter and sees notable momentum ahead, driven by expansion of the customer base, growth in Marketplace, and additional penetration with key vendors.
Among other key takeaways from the meeting, Thomas highlighted additional growth opportunities and efficiency initiatives, such as AI, Sparky, meal delivery and VIZIO, which are expected to enhance customer acquisition, conversion and shopping experience.
Thomas ranks No. 505 among more than 12,200 analysts tracked by TipRanks. His ratings have been successful 62% of the time, delivering an average return of 12.7%. See Walmart Ownership Structure on TipRanks.
Four leading AI models discuss this article
"SNOW's $300 price target and 31% FY27 outlook assume AI tailwinds persist without margin or competitive pressure through 2026."
The article spotlights three analyst endorsements for SNOW, MDB, and WMT, framing volatility as a buying opportunity. However, the highlighted analysts rank between 505th and 849th out of 12,200 with success rates of only 55-62%, and their bullish calls rest on forward AI-driven growth that has yet to translate into GAAP profitability for SNOW. MDB's premium valuation claim also assumes sustained share gains amid hyperscaler competition. Walmart's automation and ad momentum look more durable but still face consumer spending risks not addressed here.
These mid-tier analysts could still be right this cycle if AI adoption accelerates faster than modeled, and the 31% SNOW product growth plus MDB Atlas momentum may justify re-ratings regardless of historical hit rates.
"AI tailwinds alone are unlikely to support elevated valuations without durable margin expansion and cash-flow upside."
Opening take: Snowflake (SNOW), MongoDB (MDB), and Walmart (WMT) are touted as AI beneficiaries with strong growth stories and analyst targets. The bullish case hinges on AI-driven data infrastructure demand, cloud adoption, and Walmart’s ad/fulfillment initiatives. However, the article glosses over key risks: macro softness could throttle AI-related capex, competition in data platforms intensifies (Databricks, open-source DBs), and Snowflake’s path to GAAP profitability by FY28 depends on aggressive cost discipline and realization of product mix benefits. Walmart’s margin upside relies on sustained ad growth and delivery efficiency amid wage/freight pressures. Valuations may already embed too much certainty in AI-driven growth.
The strongest counter is that this is a consensus-driven catalog of opinions; any AI demand slowdown, regulatory/regulatory or competitive shocks, or margin compression could trigger meaningful downside even if near-term metrics beat.
"The market is overestimating the stability of consumption-based cloud revenue amidst ongoing enterprise IT budget optimization cycles."
The optimism surrounding SNOW and MDB ignores the brutal reality of consumption-based billing models in a high-interest-rate environment. While AI tailwinds are real, both companies face 'optimization headwinds' where enterprise customers aggressively trim cloud spend to protect margins. Relying on GAAP profitability targets years out is a speculative bet on growth persistence that ignores the risk of decelerating net revenue retention. Conversely, WMT is the only defensive play here, but at current multiples, the market has already priced in the success of its high-margin advertising and automation pivots. Investors are paying premium 'growth' multiples for stocks that are increasingly sensitive to macro-driven IT budget contractions.
If AI-driven data workloads prove to be non-discretionary, the consumption-based models of SNOW and MDB will act as high-leverage plays on the total addressable market expansion, making current valuations appear cheap in hindsight.
"Analyst conviction on three names with strong execution does not offset valuation risk or macro tail risk, especially when the article omits current multiples, consensus views, and downside scenarios."
This article conflates analyst optimism with investment merit—a dangerous conflation. Yes, Ikeda, Feinseth, and Thomas have solid track records (56%, 55%, 62% hit rates), but those are barely above coin-flip. More critically: SNOW trades at ~$240 today against a $300 target—25% upside assumes Q2 confirms AI tailwinds AND the path to GAAP profitability holds. MDB's $515 target implies 30%+ upside on a stock already up 70% YTD. WMT's 37% ad-business growth is real, but the article provides zero context on whether that's sustainable or already priced in. The article also cherry-picks one analyst per stock rather than showing consensus, masking disagreement.
All three stocks have already appreciated significantly this year, and analyst price targets are often anchored to past multiples—they lag mean reversion. If macro deteriorates or AI hype deflates, these 'solid fundamentals' become irrelevant to near-term drawdowns.
"AI spend deferrals will hit consumption billing harder than current NRR assumptions allow for."
Grok flags the analysts' mediocre track records, but the deeper flaw is assuming AI workloads stay non-discretionary. If enterprises optimize cloud spend as Gemini warns, SNOW and MDB's consumption models will see NRR drop faster than FY28 profitability targets can offset. This links directly to Claude's valuation stretch: even hitting price targets leaves both names exposed to capex deferrals that WMT's ad business largely avoids.
"The biggest risk is demand slowing and intensified competition eroding SNOW/MDB's pricing power, meaning hefty multiple compression even if near-term growth stays solid."
Grok, you’re right on AI capex sensitivity, but the deeper flaw is assuming consumption-based models stay non-discretionary if budgets tighten. The piece glosses Databricks/open-source competition, data-egress costs, and the risk of slowing net revenue retention post-hypergrowth. If AI demand cools, SNOW/MDB could suffer meaningful multiple compression even with near-term growth, while WMT’s margin gains remain a defensive cushion but not an earnings upgrade without sustained ad vigor.
"WMT's valuation is justified by its transition into a high-margin advertising platform, decoupling it from traditional retail multiple constraints."
Gemini and Grok are missing the structural shift in WMT's valuation. Walmart is no longer just a defensive retailer; it is effectively pricing in the margin profile of a software-as-a-service company through its high-margin advertising and automated fulfillment moat. If WMT sustains its ad-revenue growth, the current P/E multiple isn't a premium—it's a floor. Unlike the volatile consumption-based models of SNOW and MDB, WMT’s revenue is anchored to essential consumer spending, making it the only true 'AI-plus-defensive' hybrid here.
"WMT's SaaS-multiple valuation is contingent on ad-growth persistence, not defensive; a slowdown triggers multiple compression as severe as SNOW/MDB capex risk."
Gemini's SaaS-multiple reframe for WMT is clever but inverts the risk. If ad growth decelerates—a real possibility in consumer-spending weakness—WMT reverts to a 22x P/E retailer, not a software floor. The 'essential spending' anchor doesn't protect margin multiples; it protects revenue. SNOW/MDB face binary capex-deferral risk, but WMT faces multiple compression risk that's equally brutal if advertising momentum stalls. Nobody's modeled the ad-revenue cliff scenario.
The panelists generally agreed that while AI tailwinds exist, the current valuations and growth assumptions for SNOW and MDB may be overoptimistic, and WMT's ad growth may be overpriced, making them all risky investments.
WMT's potential to sustain ad-revenue growth and maintain its high-margin advertising and automated fulfillment moat
Capex deferrals and multiple compression due to slowing AI demand and ad growth deceleration