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

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

    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 has a commoditized business that is fairly easy for businesses with good engineering teams to replicate parts of

    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
Agentic AI Goes Operational: Platform Governance, Local Silicon, and the Physical-AI Data Race
In mid-to-late October 2026, enterprise vendors (Cisco, Fortinet, ServiceNow, Intuit, Salesforce/Braze, Adobe) shipped agent governance, AI security and AI-driven customer engagement products, while a parallel hardware wave (NVIDIA RTX Spark laptops, ASUS, Apple's iPad mini, Microsoft's hybrid local/cloud Windows) pushed AI onto local devices. A third strand, physical AI (Encord, Harvest Praxis, Hesai), argues that real-world sensor data and cheaper edge chips are the next bottleneck. The common thread is the shift from AI experimentation to governed, scaled deployment, with Salesforce's Braze acquisition showing consolidation and fintech players like Intuit tying AI to trusted financial data. The facts support a broad industry theme but contain little direct finance or regulatory evidence, so the AI-finance angle is thin.
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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