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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

The claims Via News extracted from this document. We point to the source; we don't replace it.

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

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

    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

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
The Agentic Takeover of the CFO's Office
Enterprise finance software vendors—BlackLine, OneStream, Numero AI, and Oracle—are racing to embed autonomous AI agents into core financial operations (close, consolidation, reporting), backed by consolidation M&A (Numero-Royu, BlackLine-WiseLayer), fresh leadership hires, and survey data showing nearly a quarter of CFOs plan to boost AI spending over 50%. Adoption momentum is strong even as at least one bellwether (Oracle) sees its stock lag year-to-date, suggesting the market hasn't yet fully priced in the shift from AI-as-feature to AI-as-agent in finance.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
We flag conflicts openly ›
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