Tech

Goldman: Software Moats Withstand AI, Buys Snowflake, MongoDB, Shopify, CrowdStrike

Goldman Sachs argues that some software stocks sit on architectural moats that could weather AI disruption, naming Snowflake, MongoDB, Shopify, and CrowdStrike as buys. The note positions AI as an intelligent layer atop foundational data systems rather than a wholesale replacement for core software platforms, highlighting data governance and incumbency as buffers.

Goldman: Software Moats Withstand AI, Buys Snowflake, MongoDB, Shopify, CrowdStrike

Key Takeaways

  • Goldman Sachs argues some software moats extend beyond the application layer and could resist AI disruption.
  • Incumbents’ data governance and validation across SoR (SAP, Salesforce, Oracle, Workday) create a competitive asset AI tools struggle to replace.
  • Snowflake, MongoDB, Shopify, and CrowdStrike are named as buy-rated plays with durable moats.
  • Year-to-date moves show Snowflake down ~20%, Shopify down ~30%, and MongoDB down ~17%, with Shopify’s target implying about 43% upside per LSEG (context to verify).

People Involved

  • Gabriela Borges Goldman Sachs Analyst

Entities Involved

  • Snowflake, Inc. (SNOW) Data analytics and cloud data platform company
  • MongoDB, Inc. (MDB) Database software provider
  • Shopify Inc. (SHOP) E-commerce platform provider
  • CrowdStrike Holdings, Inc. (CRWD) Cybersecurity software company
  • Goldman Sachs Group, Inc. (GS) Investment bank and research house behind the note
  • SAP SE Enterprise software and data governance leader
  • Salesforce, Inc. (CRM) CRM and data governance incumbent
  • Oracle Corporation (ORCL) Enterprise software and data governance incumbent
  • Workday, Inc. (WDAY) Enterprise software provider and data governance incumbent

MarketMoodz Analysis

The note argues AI will layer on top of foundational systems, meaning companies with strong data access, governance, and switching costs could preserve demand for their core software. For investors, this shifts focus from pure AI “replacement” narratives to durable competitive assets tied to data and platforms.

Historically, software disruption has rewarded incumbents that control data and integration points. SoR data acts as a valuable asset that AI tools cannot readily reproduce, supporting higher-quality data governance and validated processes as a moat. The stocks named—Snowflake, MongoDB, Shopify, and CrowdStrike—represent plays with different data and network effects that could weather AI cycles and benefit from durable product cycles, while earnings prints and client concentration remain key risk factors.

What to watch next: monitor earnings signals for these names, AI product cycle catalysts, and evolving data-regulation risks that could influence data access and switching costs. Also watch for shifts in data governance practices among incumbents and any changes in SoR data utilization that could reinforce or erode moats in coming quarters.

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