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Thursday, October 22, 2026

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@convequity

Convequity on X

$PANW and $DDOG both put something real inside the customer's systems that an AI lab cannot recreate by calling SaaS APIs. Palo Alto's install is still harder to replace with AI. 1. Datadog's agents mostly sit outside the traffic and watch production. A bad agent version rarely takes the business down the way a bad firewall rule can. 2. Palo Alto's firewalls and SASE cloud gateways sit inside the traffic and decide what to allow, deny, decrypt or inspect. A wrong allow or deny hits live traffic and live machines. 3. Many Datadog users start the day in a coding agent and open Datadog when something looks wrong. Many Palo Alto users start in its console and stay there through alerts, triage and response. For them, an outside AI agent is an add-on. Cybersecurity work splits two ways on AI risk. Work done before code ships ("shift-left") or from outside the traffic, such as scanning code, checking cloud settings and sorting collected alerts, gives answers that are easy to check. AI agents are already taking over more of it. Work in live traffic and on live machines ("shift-right") means judging whether an attacker is still inside and whether blocking them is safe. That is more ambiguous and mistakes cost more, so enterprises move slower and demand earned trust. Palo Alto is not risk-free. In our view its exposure is the easily checked detection and vulnerability work inside its platform, which AI agents can take over sooner. The threat is not an AI-native firewall startup.
@ActAccordingly

PAA Research on X

Following the action in $FICO, it seems this post from @pulte has drawn increased investor attention to $STC $FAF $ORI $FNF and their title insurance pricing policies. We have had a short call on $STC and $FAF for some time. There's no doubt there are several technology options that could lower title insurance costs (AI) if not eliminate the need for it altogether (blockchain). You already have many brokers offering bundled solutions for title, mortgage, and advisory. Lots of pressure on these busineses.

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Tesla Q3 FY12/26 Earnings Analysis

Tesla’s Q3 revenue was flat at $28.0 billion, while operating income fell 56% as R&D spending on AI rose 69%; SpaceX merger discussions are…

TSLA $1.5T
Cestrian Capital Research 6 clicks

Meta Earnings Update: Q3 2026

Meta’s Q3 revenue rose 26% to $64.6 billion, but $34.9 billion in AI infrastructure spending drove free cash flow negative as it created…

META $1.8T
SixSigmaCapital: Navigating the Financial Markets 3 clicks

Meta: 3Q26 Business Update

Meta’s Family of Apps revenue grew 26% as Muse reached 10 million users, testing AI-agent commerce while Amazon restricts access and…

META $1.8T
Speedwell Memos 4 clicks
EXPE · long

Expedia Group INC

Expedia Group, one of the largest online travel companies, has roughly 3.6 million lodging properties and is expanding internationally.

EXPE $35B
Value Investors Club 1 click

Eli Lilly And Co. (LLY)

Eli Lilly's Mounjaro and Zepbound drove 2025 revenue to $65.2 billion as the drugmaker expands AI partnerships with Nvidia, Isomorphic…

LLY $1.2T
SixSigmaCapital: Navigating the Financial Markets 25 clicks

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