BNP Paribas’ Bigos: Growth Drivers vs. Volatility

BNP Paribas AM’s Ecaterina Bigos said markets remain volatile amid geopolitical uncertainty, while assuming oil prices will stabilize around $80-$90 by mid-summer. She highlighted a structural advantage in sectors with long-term growth drivers, especially technology tied to AI-related capital expenditure, which has already rerated and is expected to keep momentum through year-end.

Analysis

The market is effectively treating this as a two-factor regime: oil as a near-term input-cost shock that may fade, and AI capex as a durable capital-allocation winner. The second-order effect is that energy volatility likely supports dispersion rather than broad index directionality — cyclicals with weak pricing power remain vulnerable, while firms with AI-linked revenue or cost takeout have room to sustain multiple expansion even if macro growth softens. That favors software, semis, and select infrastructure names over hardware assemblers or energy-intensive industrials.

The key risk is consensus complacency around the oil path. A stable $80-$90 band assumes no escalation premium and no demand destruction; either a shipping disruption or retaliatory supply move can push spot higher quickly, but the more important medium-term risk is that elevated input costs compress margins with a lag of 1-2 quarters in consumer-facing sectors. If that happens, earnings revisions could roll over before investors fully reprice the growth scare.

On AI, the market may be underestimating the difference between beneficiaries of capex and beneficiaries of monetization. Names selling picks-and-shovels into AI deployment can keep winning even if end-user adoption slows, but the late-cycle risk is a rotation from “build” to “prove returns,” which would punish expensive application-layer stocks with weak free cash flow. If the rerating has become crowded, any pause in hyperscaler spending or tighter guidance could trigger a sharp factor unwind over days, not months.

Key Decisions for Investors

• Overweight semis/picks-and-shovels tied to AI capex over broad software: long SMH or SOXX vs short IGV for a 1-3 month relative-value trade; upside if capex stays firm, downside limited by secular spend, while IGV is more exposed to multiple compression.
• Buy protective downside on energy-sensitive consumer discretionary: long XLY puts or short a basket of airlines/retailers into the next 1-2 earnings cycles; risk/reward improves if oil stays in the upper end of the expected range and margins get revised down.
• Pair long XLK / short XLI for 6-12 weeks: benefit from AI-driven capex and margin expansion versus industrial input-cost pressure; stop if PMI data re-accelerates materially or energy prices break lower.
• If positioning looks crowded in AI leaders, use call spreads instead of outright longs in NVDA/MSFT over 3-6 months; this keeps upside to continued capex while reducing theta if the rerating pauses.
• Watch for an oil-volatility breakout: if crude pushes materially above the assumed band, add short exposure to high-beta cyclical baskets for a tactical 2-4 week trade, since earnings risk will likely outrun macro revisions.