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The Agentic AI Roadmap for SaaS

SaaS companies including Salesforce, ServiceNow, CrowdStrike, Synopsys and Veeva are ranked by agentic AI progress, from pilots to monetization and new usage-based business models.

CRM $197BCRWD $233B

Jimmy's Journal 2h ago 1 click

4h ago LEN $17B

The Monday Morning Briefing: Meta, Tesla, Netflix, P&G on Deck

Latticework by MOI Global 5 clicks

6h ago OXY $62B

Our Q3 2026 Update: Our Companies (OXY, RIG, VAL)

Open Insights 5 clicks

From X

@ACapitalLP Aug 31

A Capital on X

If you liked $FTAI at $209, you’re going to love it $186… https://t.co/J40mboCyG8

@mavix_leon Aug 31

mavix on X

I just published my Portfolio Update for August 2026. It includes: ▫️My current Portfolio & position sizes ▫️Earnings Update about $YSN.DE, $SLYG, $LEAT, $4058 ▫️Recent news & information about $CIRC.MI, $EVVTY, $4058, $SLYG https://t.co/bEmwcymkyy

@partners_road Aug 31

RiverRoadPartners on X

FT: Big tech giants booked a $160B+ windfall last qtr from investments in other AI companies. $GOOG, $AMZN, $NVDA, & $MSFT all had lg boosts to their pre-tax profits from ‘other income’ in theory P&L, due largely to valuation gains on equity stakes in other leading AI companies

@finphysnerd Aug 31

Myles on X

A fun trade I've had in is arbing convertible preferreds. Long $PCGPRX short $PCG, long $QXOPRB short $QXO. Trading below the convertible price while pocketing a nice dividend with cheap financing.

@stockgutter Aug 31

SG on X

$BMRN up premarket on settlement agreement. I continue to like/own. https://t.co/a6WZ9ksaeH

@convequity Aug 31

Convequity on X

The AI build is moves more aggressively off the balance sheet Convequity’s debt scan across $MSFT $AMZN $GOOGL and $META: what these companies borrow in public is rising slowly. What they have promised to spend later — leases not yet started, equipment orders, contracted compute — is rising much faster. In 2Q26 that gap is the widest in four quarters. Off-book commitments are running toward +316% year-on-year. On-book debt is barely moving. If you only watch headline borrowings, you miss the cycle. MSFT is the clearest case. On-book debt +15% YoY. Off-book commitments +138%. That is why its all-in financing load is about 17x reported borrowings. Microsoft is under pressure from two sides: shareholders who want more AI spend, and shareholders who want less capex and faster returns. The compromise is to slow the capex it puts on its own books and lock in capacity from $IREN, $NBIS and other neo-clouds instead. How that works: IREN or NBIS borrows, builds the site and owns the chips. Microsoft signs a multi-year contract to pay for the capacity. Microsoft does not put the building on its balance sheet. It takes a future bill — rent and service payments that show up later as operating cost. Asset risk moves to the neo-cloud. Payment risk stays with Microsoft. GOOGL looks similar on a multiple and is doing something different. All-in commitments are 10.2x borrowings: $100bn of headline debt, $121bn including leases, $902bn off-book. $811bn of that off-book pile is purchase orders for its own stack — TPUs and the kit around them — not rented neo-cloud sites. On-book +190% YoY. Off-book +836%. That multiple is Google buying the factory, not renting it. META is closer to Google than to Microsoft: on-book +127%, off-book +680%. Some of Meta’s orders are reserved compute from CoreWeave and Nebius, which Meta will expense as it uses the capacity. Most of the pile is still Meta committing to build and buy for itself. AMZN is the most balanced of the four (+59% on-book / +80% off-book). Both lines are rising together. If the cycle breaks, Microsoft is less stuck with buildings and chips it owns. It is more stuck with bills it already signed. Google is more exposed because more of the capital is already spoken for on its own account. If compute gets scarcer, the extra megawatts IREN and NBIS have not yet sold can go to whoever pays more. Microsoft then has to wait or pay up. Because it owns less of the physical stack, it has less spare capacity it can simply switch on — which means higher compute costs and tighter margins. Powerful cycle. Not a broad bubble. The heat is in the promises, not the 10-Q debt line. Full AI Bubble Barometer available at Convequity.

@leevalueroach Aug 30

Lee Roach on X

This $WY looks like another dirt cheap timber REIT. Been doing a deep dive on the entire sector. Getting slammed from higher yields and home building slowing down. But these are incredible inflation assets and irreplaceable. It’s something I would hold as a cash alternative. Because you can’t trust cash at this point in the credit cycle. Own cheap timber.

@orrdavid Aug 30

David Orr on X

It's these types of ads that $GOOG Google won't be able to get away with long term anymore. This always degraded the user experience. Which was fine when they were a monopoly. But they are not a monopoly anymore. How much will this hurt their revenue? https://t.co/i07ww09r4x

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Jeremy LaKosh 22h ago 5 clicks

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The Technology Letter 37h ago 16 clicks

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JR Research Oct 17 9 clicks

Market Cracks Under AI Debt Burden | The Weekly Wrap

Steve Eisman examines AI data-center debt, CoreWeave's tech correction and agentic AI's effect on banks as earnings season begins.

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Steve Eisman Oct 16 21 clicks

RELX: The Risk Segment Makes This Buy Less Risky

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TSOH Weekly Roundup (10/16/2026)

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TSOH Investment Research Oct 16 11 clicks

GE Vernova: AI's Next Bottleneck Is Electricity

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LLY · long

LILLY (ELI) & CO

Eli Lilly trades at 33 times this year’s earnings and 26 times next year’s, versus roughly 12 times for big pharma peers.

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Is The Market Turning The Page?

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ASML Is Building a Hybrid Bonding Tool!

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AppLovin Deep Dive

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ASML 3Q’26: 2030 Arrived Four Years Early

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MBI Deep Dives Oct 15 13 clicks

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Sunday, October 18 32 stock ideas

What Lies Beneath: The Developer Building a Data Center on a Former Army Dump Laced With Munitions and Carcinogens Hunterbrook
DigitalOcean CEO: ‘We are not going to be extraordinarily leveraged like some others’ The Technology Letter

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