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Wednesday, September 30, 2026

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The Next Consumer is a Computer

Meta’s Muse illustrates how persistent AI agents shift compute from per-query to per-user, driving heavier GPU, CPU and memory demand.

META $1.8TNVDA $5.5T
SixSigmaCapital: Navigating the Financial Markets 6 clicks

From X

@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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Microsoft: The Xbox Segment Revamp

Microsoft plans to rebuild Xbox after FY2026 through studio cuts, higher hardware prices, Game Pass growth, exclusive releases and the 2028…

MSFT $3.8T
Khaveen Investments 2 clicks

Toll roads in the sky

Asia's elevator boom favors maintenance and modernization providers, with Otis deriving nearly 90% of operating profit from after-sales…

OTIS $24B
Asian Century Stocks 1 click

QXO

QXO, Brad Jacobs’ building-materials distributor roll-up, targets rapid acquisitions and a $50 billion revenue run rate by 2032.

QXO $12B
Kairos Research

Revisiting Veeva #1

Veeva’s AI tools for pharmacovigilance case processing and trial-document management target more than $1 billion of potential revenue,…

VEEV $45B
Lewistown Capital

Carving Up the TPU

Google’s TPUs give it vertically integrated AI training and inference economics as Anthropic and Meta consider adoption, challenging…

GOOGL $4.1T
Citrini Research 3 clicks

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