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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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  • 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 Snowflake security and governance controls

    60% confidence
  • Snowflake is committed to maintaining product gross margins at 75% this year despite AI product gross margin headwinds

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

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

    60% confidence
  • Some customers already replacing third-party point solution functionality by running workflows directly in Snowflake

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

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

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

    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
  • Some customers already replacing third-party point solution application functionality by running workflows directly in Snowflake

    60% confidence
  • Workday Data Cloud offering is expected to ramp up in the second half and will be charged on consumption basis based on amount of data

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

    60% confidence
  • Company has not seen any mass piping of data out of Salesforce to date

    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 demonstrate stability in its core business and demonstrate continued success and adoption of Agentforce along with Data Cloud

    60% confidence
  • Companies are returning to Salesforce after testing solutions from AI startups like Sierra AI and Decagon AI, and after trying DIY AI using OpenAI and Anthropic LLMs

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

    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
  • LLM costs will weigh on gross margins, but Salesforce can secure volume discounts and expects costs per token to come down over time

    60% confidence
  • Salesforce is well-positioned to win in the new agentic layer due to customer data context, existing systems of work, Atlas Reasoning Engine for workflow orchestration, and engagement layer through Slack

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

    60% confidence
  • Salesforce benefits from customer data and metadata context, resulting in better and more accurate outcomes for agentic AI

    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
  • Company has not seen any mass piping of data out of Salesforce

    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
  • 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
  • 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

Data points we hold from this source

Snowflake Inc. · gross margin target75 percent
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Agentic AI Rewires Enterprise Software: Platform Incumbents, Governance, and a Funded Startup Wave
Enterprise software is being rebuilt around autonomous AI agents. Incumbents and large platforms (SAP with its Autonomous Suite and Joule, Zeta with AthenaOS/AIM/Athena MCP, Meta with its new Enterprise Platform) are racing to own the agent layer. Meanwhile, seed and Series A money flows to finance-office and vertical startups (Dextr, Latitude, Dentira, Light), and consolidation continues through acquisitions (Tiny–Oso Cloud, Harvey–Guardrails AI). Investor commentary stresses that AI is better at disrupting around the edges of systems of record than at replacing them, that it should not be trusted with finance calculations, and that governance must be enforced by the system rather than left to agents.
Our read on the data ›
Signals we're tracking
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.
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
We flag conflicts openly ›
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