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Goldman Sachs: Focus on AI Investment Discipline and Oil Exploration Cycles Amid Interest Rate Volatility

Institution
Goldman Sachs
Date
20260522
Authors
Sahar Islam, Ayushi Mishra
Company
-
Ticker
-
Industry
AI, Multi-sector, Asset Allocation
Rating
MixedMedium confidenceMedium-termThe report highlights interest rate risks at the macro level but provides clear buy recommendations and structural opportunity views for individual stocks and sectors (e.g., AI, energy, select financials).
AuthorsSahar Islam, Ayushi Mishra
CoverageUnited States、Other
Research firm divisions/subsidiariesGoldman Sachs International(Division/Team)、Goldman Sachs India SPL(Division/Team)

AI summary card

Goldman Sachs: Focus on AI Investment Discipline and Oil Exploration Cycles Amid Interest Rate Volatility

The report notes that the negative correlation between U.S. equities and bonds introduces volatility risk; however, robust AI infrastructure demand and a rebound in oil exploration spending present structural opportunities in select sectors.

Mixed Rating | No Uniform Target Price
Interest Rate VolatilityAI InvestmentOil CapexData CentersStock Selection Strategy
  • The 30-year U.S. Treasury yield has breached 5%, and the equity-bond correlation has turned negative—increasing near-term market volatility risk.
  • Electricity shortages for European data centers are driving grid investment, benefiting utilities such as Enel and Naturgy.
  • Mentions of seismic exploration, exploration, and discovery in oil company earnings calls have surged—a typical precursor to rising capex; TGS is positioned at the start of a new capex cycle.
  • Nvidia’s strong guidance supports European AI hardware beneficiaries (e.g., ASML, Infineon).
  • For the first time in years, value pockets have emerged among growth stocks, and growth catalysts among value stocks—favoring stock-specific selection.

Report interpretation

Overview

This Goldman Sachs weekly report, titled 'Connecting the Dots,' examines how macro-level interest rate volatility affects asset pricing, alongside micro-level developments in AI investment discipline and the oil capex cycle. While elevated rates have led to an unusual negative equity-bond correlation—raising short-term volatility risk—the report identifies significant structural alpha opportunities driven by resilient AI infrastructure demand and a recovery in traditional energy exploration. Drawing on recent conferences, earnings calls, and industry data, analysts highlight utilities benefiting from data center build-out, oilfield service firms at cyclical inflection points, and technology giants with superior capital allocation discipline.

Core views

Macro & Market Strategy: Interest rate dynamics dominate market dialogue. The 30-year U.S. Treasury yield has risen above 5%, and the correlation between U.S. equities and bond yields has turned negative—the lowest since the 1990s. This divergence implies that if oil-driven inflation persists into H2, markets may encounter a 'speed bump.' However, strategist Peter Oppenheimer observes this is the first time in many years that value pockets have appeared within growth stocks—and growth catalysts within value stocks—creating a favorable backdrop for stock pickers. AI Investment & Infrastructure: European data center expansion faces electricity supply bottlenecks, directly fueling investment demand for grids and generation assets. The report favors utilities with exposure to electrification—namely Enel and Naturgy (both on the Conviction List)—as well as Siemens Energy. On the tech side, Nvidia’s strong guidance and improved capital allocation validate the sustainability of capex: H100/A100 GPU lease prices have risen 15%–20% YTD, and shipments of the Vera Rubin chip will begin in H2—benefiting European AI hardware suppliers including ASML, ASMI, BESI, and Infineon. Oil Capex Cycle: Mentions of 'seismic exploration, exploration, and discovery' in earnings calls of U.S. and European oil companies have surged sharply—a reliable leading indicator of rising capex. Analyst Michele della Vigna favors TGS ASA, positioning it at the cusp of a major exploration cycle. With no new seismic vessels built since 2017 and active vessel counts falling from ~60 in 2013 to just 17–30 today, seismic services face a structural price-upcycle. Other Sector Highlights: Financials—HSBC and Standard Chartered are favored due to their Asia growth engines and wealth management capabilities; Healthcare—while overall valuations trade at a discount, patent cliffs necessitate selective stock picking; Bayer and Argenx are recommended. Retail—TikTok Shop remains in early stages across Europe, with limited brand overlap; Zalando and Next are preferred.

Analysis framework

The report adopts a 'macro theme + micro validation' analytical framework. First, it establishes the broader risk sentiment backdrop by examining macro interest rate trends and equity-bond correlations. Second, it captures high-frequency industry signals—such as electricity constraints for data centers or rising exploration mentions in earnings calls—through participation in sector conferences (e.g., European Utilities Conference, EMEA Infrastructure Conference) and earnings call analysis. Finally, these qualitative signals are integrated with company-specific financial guidance, valuation metrics, and competitive positioning to identify names offering high-conviction returns. This methodology emphasizes identifying micro-level certainty amid macro uncertainty.

Methodology notes

  • Quantitative/Factor/Portfolio TheoryBeta/alpha analysis

    Seeking Alpha Opportunities Amid Negative Equity-Bond Correlation

    When traditional cross-asset hedging fails (e.g., equities and bonds move in tandem or exhibit anomalous correlation), investors cannot rely on beta-driven returns and must instead uncover idiosyncratic, fundamentals-driven excess returns (alpha). The report declares this an era for stock pickers—not passive index investing.

  • Sector/Industry Analysis FrameworkSupply-demand framework

    Supply Rigidity in Seismic Exploration Services

    By analyzing supply-side constraints (a sharp decline in active vessels, zero new-builds since 2017, aging fleet) and demand-side drivers (rising exploration mentions, capex restart), the report concludes seismic services are entering a price-upcycle—a classic supply-constrained inflation dynamic.

  • Sector/Industry Analysis FrameworkUpstream-Midstream-Downstream Value Chain Transmission

    Transmission of AI Compute Demand to Power Infrastructure

    AI’s growth benefits not only chipmakers but also creates massive energy demand, which propagates upstream along the value chain—making local power supply and grid capacity critical bottlenecks. As a result, investment opportunities have broadened beyond pure tech names to include utilities and grid equipment manufacturers.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

  • Enel (ENEL.MI), Naturgy (NTGY.MC)
    Benefited
    Strengths
    On the Conviction List; direct beneficiaries of European data center-driven power and grid investment.
    Comparison
    Greater exposure to electrification and data centers versus peers.
    Risks
    Regulatory policy shifts, energy price volatility.
  • TGS ASA (TGS.OL)
    Benefited
    Strengths
    Owns vessels following acquisition of PGS; positioned at the outset of an oil exploration capex cycle, with upside potential in seismic service pricing.
    Comparison
    Uniquely positioned to play the new oil capex upcycle.
    Risks
    A sharp drop in oil prices could delay exploration spending.
  • Nvidia (NVDA), ASML, Infineon (IFX)
    Benefited
    Strengths
    Nvidia’s strong guidance and sustainable capex support; European hardware suppliers benefit from capacity expansion and rising GPU lease prices.
    Comparison
    Nvidia is the leader; European firms are supply-chain beneficiaries.
    Risks
    Lower-than-expected AI ROI could trigger capex cuts.
  • HSBC (HSBA.L)
    Benefited
    Strengths
    Asia remains its growth engine; clear wealth management strategy; AI boosts productivity.
    Comparison
    Global liquidity engine.
    Risks
    Geopolitical risks, global economic slowdown.

Key data

  • 30-Year U.S. Treasury Yield>5%Rising yield dominates market dialogue
  • U.S. Equity–10-Year Treasury 2-Month CorrelationNegative (lowest since the 1990s)Equity-bond hedging function impaired; volatility risk heightened
  • Active Seismic Exploration Vessel Count17–30 vesselsDown ~70% from ~60 vessels in 2013—severe supply contraction
  • Nvidia H100/A100 GPU Lease Price Increase20%/15%Year-to-date increase, reflecting strong compute demand
  • European Jet Fuel Import Volume60% below 2025 averagePreliminary estimate; sustained high costs would raise airline unit costs

Impact & implications

For investors, this implies that traditional defensive portfolio allocations may no longer suffice—requiring proactive engagement with structural trends. In AI, the investment thesis has expanded beyond model training to encompass infrastructure (power, grids) and hardware manufacturing. In energy, upstream exploration services are recovering ahead of any surge in oil prices—offering attractive left-tail entry opportunities. Meanwhile, macro-level interest rate volatility demands greater portfolio discipline and reduced leverage.

Risks

  • Persistent oil supply disruptions in H2 could reignite inflation and market volatility.
  • Most enterprises remain unprofitable in AI implementation—questioning the long-term sustainability of business models.
  • Slowing European growth—Q1 GDP rose only 0.1%—could stall if energy prices remain elevated.
  • UK core inflation peak may exceed expectations (3.1% in Q4), affecting monetary policy.

What to watch

  • Progress on European data center power infrastructure investment.
  • Oil company earnings guidance on exploration and seismic data capex.
  • Nvidia’s Vera Rubin chip shipment timeline and expansion into CPU-related markets.
  • U.S. long-duration Treasury yield trajectory and its pressure on equity valuations.
Zhejiang ICP No. 2022035445-5
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