Diamond Hill said long positions in Microsoft, Salesforce and Adobe were notable detractors in the quarter, indicating pressure in software holdings. By contrast, Chevron and Diamondback Energy benefited from a sharp rise in oil prices, which sparked a broad rally across US oil producers. The firm also initiated Gartner on concerns that slowing revenue growth and potential AI disruption had left the stock attractively valued.
The software drawdown looks less like a single-name earnings issue and more like a factor reset: higher rates plus AI capex skepticism tend to hit durable-multiple compounders first, even when fundamentals remain intact. That creates a subtle spread opportunity: the market is penalizing monetization timing more than demand durability, which is usually a better setup for large-cap platforms than for smaller software vendors because they can self-fund AI investment and buy time. Gartner is the more interesting signal because it sits at the intersection of procurement budgets and AI disruption. If CIOs use AI copilots to compress analyst-research spend, the pain should show up first in renewal discussions and seat counts over the next 2-4 quarters, not immediately in bookings. But the market may be overestimating disruption risk versus substitution risk: AI can augment Gartner's delivery model and widen the moat for trusted enterprise guidance if management packages AI-enabled products rather than defending legacy labor-intensive workflows. Energy is acting as the cleaner macro beta trade here. The move in E&P is likely more persistent than the software weakness because oil's marginal price support directly flows through to near-term cash conversion, whereas software multiple compression usually needs either a growth miss or a regime shift in discount rates to persist. The second-order implication is that capital may rotate from long-duration software into short-duration cash-yielding energy, especially if crude stays firm for another 30-60 days and buyback authorization ramps accelerate.
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