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Source document· March 14, 2026

BNP highlights bullish takeaways on agentic AI, growth in meetings with Salesforce, Workday, Snowflake

View original at seekingalpha.com
BNP highlights bullish takeaways on agentic AI, growth in meetings with Salesforce, Workday, Snowflake [Humans are using laptops and computers to interact with AI, helping them create, code, train AI, or analyze big data with fast, cutting-edge technology.] BNP Paribas highlighted key takeaways, including agentic AI, g…
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  • LLM companies like Anthropic and OpenAI appear more focused on disrupting the applications market rather than entering the data platform market

    60% confidence
  • Salesforce's 27 years of operational CRM data embedded within its systems of record provides advantage versus both startup competitors and DIY approaches

    60% confidence
  • Customers finding value in using Snowflake's own coding tool for data operations because it better identifies patterns and context within Snowflake data while benefiting from Snowflake security and governance

    60% confidence
  • Salesforce is doing all of the right things, but the share price will not likely react until Salesforce can 1) demonstrate stability in its core business and 2) demonstrate continued success and adoption of Agentforce along with Data Cloud

    60% confidence
  • Workday used to generate 60% of growth through existing customer base and 40% through new customers, but new customer growth is now slower

    60% confidence
  • Salesforce is doing all of the right things, but the share price will not likely react until Salesforce can demonstrate stability in its core business and demonstrate continued success and adoption of Agentforce along with Data Cloud

    60% confidence
  • Snowflake is committed to maintaining product gross margins at 75% this year despite AI products creating some gross margin headwind

    60% confidence
  • Salesforce believes it is well-positioned to be a winner in the new agentic layer due to having customer context, systems of work, Atlas Reasoning Engine for agency, and engagement layer with Slack

    60% confidence
  • Competition from Databricks is not new and competitive fears appear to have died down from their peak a couple of years ago

    60% confidence
  • Companies are coming back to Salesforce after testing solutions from AI startups like Sierra AI and Decagon AI, and after trying DIY AI

    60% confidence
  • Integrated data model across HCM and Finance provides advantage as company increasingly sells full suite

    60% confidence
  • Revenue growth acceleration should be visible in H2, potentially as early as Q3

    60% confidence
  • AI provides opportunity to increase accessibility of technologies to more business users beyond just business and data analysts through tools like Cortex Code

    60% confidence
  • If successful with new initiatives, second-half bookings should show improvement, potentially leading to revenue growth inflection in FY2027

    60% confidence
  • Salesforce's marketing business will stabilize with new product functionality ramping, but Commerce is taking longer to demonstrate improvements due to competitive pressures and competing for R&D resources with AI areas

    60% confidence
  • LLM costs will weigh on gross margins, but Salesforce can secure volume discounts and expects costs per token to decline over time

    60% confidence
  • Marketing business will stabilize with new product functionality ramping, but Commerce taking longer to improve due to competitive pressures and R&D resource allocation to AI

    60% confidence
  • Revenue growth acceleration expected in H2, potentially as early as Q3

    60% confidence
  • Margin targets may be lowered as company focuses on accelerating top-line growth and ensuring product portfolio relevance in agentic AI world

    60% confidence
  • Workday is returning to an organic product focus with a goal of delivering revenue growth acceleration, potentially resulting in improved Bookings growth in H2 FY'27 and revenue growth acceleration in FY'28

    60% confidence
  • AI native is likely less than 2% of revenues but may have already helped drive the beat in Q4

    60% confidence
  • Snowflake is a key beneficiary of AI, which can help drive acceleration in demand for core platform and provides opportunities to extend use cases and reach through development simplification

    60% confidence
  • Integrated data model across HCM and Finance provides advantage as company increasingly sells the full suite

    60% confidence
  • Data Cloud offering expected to ramp in second half, charged on consumption basis based on data amount

    60% confidence
  • Customers are finding value in using Snowflake's own coding tool for data operations because it is better at identifying patterns and context within Snowflake data while benefiting from security and governance controls

    60% confidence
  • LLM companies appear more focused on disrupting the applications market rather than entering data platform market

    60% confidence
  • Marketing business will stabilize with new product functionality ramping, but Commerce taking longer to demonstrate improvements due to competitive pressures and R&D resource allocation

    60% confidence
  • Workday used to generate 60% of growth through existing customer base and 40% through new customers, but new customer growth has slowed in SLED, Healthcare, and retail sectors

    60% confidence
  • 27 years of operational CRM data embedded within systems of record provides advantage versus new competitors

    60% confidence
  • Workday is returning to organic product focus with goal of delivering revenue growth acceleration, potentially improving Bookings growth in H2 FY'27 and revenue growth acceleration in FY'28

    60% confidence

Data points we hold from this source

Snowflake Inc. · gross margin target75 percent
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AI Capital Surge Meets Investor Caution: Record Funding Rounds and Government Contracts Amid Valuation Skepticism
A single-week cluster of large AI/fintech funding rounds (Socure, Stability AI, Emerald AI, Generalist AI, Instinct, Gatik, Regent Craft) shows venture capital still pouring into AI infrastructure, identity, and autonomy plays, while Palantir's Army TITAN contract win coincided with a 6% stock drop — signaling that even flagship AI-defense revenue isn't immune to market reassessment of AI valuations. Efficiency-focused innovations like Multiverse Computing's model compression suggest the sector is also pivoting toward cost/inference economics as capital intensity draws scrutiny.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
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