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Tuesday, October 20, 2026· 5629 stock ideas· 218 writers·
20,661 views· 9,749 clicks

Is Microsoft Over-Earning on OpenAI?

Microsoft booked $24.1 billion from OpenAI in FY2026, nearly a quarter of Azure revenue, raising questions over finite, high-margin contributions to earnings growth.

MSFT $4T
MBI Deep Dives 2 clicks

From X

@convequity

Convequity on X

Nvidia’s $2bn Marvell investment is not a simple endorsement $MRVL is one of the few real DSP alternatives to Broadcom. Nvidia lacked that lever — now it has influence. Marvell has also struggled in custom AI silicon and networking (Trainium 3 was a clear disappointment). The path of least resistance becomes designing compute that attaches to NVLink rather than building independent high-speed I/O. On scale-up, the field is largely NVLink vs Broadcom’s Ethernet camp. UALink was the alternative; Marvell was the key switch name. Once Marvell is aligned with Nvidia, UALink’s prospects as a true independent standard weaken. Three effects at once: 1) DSP influence, 2) custom ASICs pulled toward NVLink, and 3) a potential NVLink competitor blunted. We stayed on the sidelines. Not every Nvidia partnership is automatically bullish.
@ActAccordingly 1 click

PAA Research on X

Big gap higher pre-mkt for $W. Furniture names in general have been ripping the past 3-months. QUIETLY. 4+ years of brutal housing market headwinds and these businesses have been grinding away, generating cash, buying back stock, preserving margins. Easy comps + the potential of an upturn in housing velocity make it a good recipe for longs with valuations that remain notably cheap relative to mid-cycle EBITDA. Look at some of these 3-month returns: $BOBS: 64.8% $W: 35.8% $BSET: 34.1% $WSM: 33.2% $HOFT: 21.4% $LZB: 18.5% $ETD 12.2% There's plenty of juice in the group with a sustained upturn in home furnishings spend after the post-COVID19 crash. $WSM is on our Buyback Outliers list. I own $BSET, $ETD, $BBBY
@convequity

Convequity on X

Why we exited $FIG AI coding agents and prompt-to-UI tools are changing the design workflow faster than most expected. Platforms such as v0, Lovable and Claude Design can already take a team from idea to a working interface without a traditional design file in the middle. Figma has added its own generative features, yet these have largely been layered on via external model APIs rather than a full re-architecture around AI-native workflows. Newer entrants were built for this environment from the start. In public interviews the founding team has consistently struck a defensive posture — essentially arguing the existing franchise is secure — rather than showing the urgency of a company prepared to disrupt its own model. That mindset is rarely a positive signal when a platform shift is underway. After several quarters of waiting for a more compelling response, we exited the position.
@convequity

Convequity on X

Why we exited $CRSP and kept $TEM AlphaFold solved the backend of the problem — predicting a protein’s 3D structure from its sequence. The harder frontend problem remains: knowing which protein or pathway is actually worth targeting. Most complex diseases are still poorly understood at the causal level. That distinction matters. The next real breakthroughs look more likely to come from AI-native groups that treat large-scale compute as the primary engine, in the same way OpenAI and Anthropic approached language before the ChatGPT moment. Public investors may only get clean access later via secondaries or IPOs. CRISPR sits on the earlier-generation side of that divide. Tempus is closer to the compute-and-data native side — building models while assembling a genuine clinical data moat. That is why one was exited and the other retained.

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