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Source document· March 2, 2026

Disruption Stories: 2 Stocks That Motley Fool Analysts Think Could Be Most at Risk

View original at finance.yahoo.com
Disruption Stories: 2 Stocks That Motley Fool Analysts Think Could Be Most at Risk In this podcast, Motley Fool analysts Asit Sharma, David Meier, and Tim Beyers discuss: Disruption stories from history…
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What we drew from this source

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  • Production-based software is very different from prototypes and requires handling scale, portability, and concurrent users

    80% confidence
  • Salesforce is looking vulnerable to disruption despite trying to stay ahead with AI agents

    80% confidence
  • Salesforce was not one of the 10 best stocks identified by Stock Advisor analyst team

    80% confidence
  • Salesforce's legacy business is projected to only grow at 8-10%, which is not enough to protect from disruption

    80% confidence
  • Enterprise customers are unlikely to rip out working systems to replace them with AI-coded alternatives in the very short term

    80% confidence
  • Salesforce has a commoditized business that is fairly easy for businesses with good engineering teams to replicate parts of

    80% confidence
  • There are three signs of disruption: persistently lower gross margin, increasing costs to acquire new revenue, and reduced stickiness with large customers leaving

    80% confidence
  • You are not right or wrong because the market agrees with you. You are right or wrong because your data, analysis, and logic are sound

    80% confidence
  • Stock Advisor's total average return is 941% compared to 194% for the S&P 500

    80% confidence
  • Three elements of bravery for investors: willingness to go against consensus, willingness to be told you're wrong by market action for extended period, and willingness to not act when others are and to act when others aren't

    80% confidence
  • The Trade Desk is most at risk because it's a marketplace that could be disrupted by someone flying under the radar with better technology

    80% confidence

Data points we hold from this source

Salesforce · legacy business growth rate8-10 percent
Salesforce · revenue41 billion_USD
Salesforce · ai agent revenue run rate1.4 billion_USD
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
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
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
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