The latest thematic ETF flow data shows investors are still aligned with the macro narrative, but in a more selective way. The market is not buying every growth theme. It is buying themes with visible earnings support, infrastructure demand, balance-sheet strength, or rate sensitivity that can work if inflation stays sticky but growth remains resilient.
For sector investors, the message is clear: thematic flows are most supportive of Industrials, Information Technology, Financials, Health Care, and select Real Estate. They are least supportive of Energy, Materials, Communication Services, and rate-sensitive housing-related Consumer Discretionary.
The biggest confirmation is still the AI infrastructure trade. Micron’s blowout results, Qualcomm’s data-center targets, SK Hynix strength, and renewed AI chip momentum support the case for semiconductors and compute infrastructure. Semiconductor ETFs gained roughly 7.6% over 1 month and still attracted about $2.6B of 1-month inflows and $12.8B YTD, even after heavy 1-week outflows. That argues for continued support for Information Technology, especially semiconductor and hardware exposure through VGT, SMH, SOXX, NVDA, AVGO, MU, AMD, QCOM, WDC, and STX.
However, the AI trade is becoming more discriminating. Robotics & AI has strong YTD flows, but weaker recent performance; software and cloud flows are softer; internet/metaverse remains under pressure. That means sector investors should favor profitable AI infrastructure over broader “innovation” exposure. The stronger expression is semiconductors, memory, data-center hardware, and electrical infrastructure—not unprofitable software, speculative AI apps, or platform themes facing token deflation and open-source competition.
The most important sector broadening signal is in Industrials. Infrastructure ETFs pulled in roughly $925M over 1 month and $4.1B YTD, while electrification/grid ETFs attracted about $1.0B over 1 month and $6.0B YTD. That directly supports the AI power-demand and reshoring narrative. For sector investors, this points to VIS, PAVE, IFRA, GRID, ETN, VRT, PWR, GEV, CAT, EMR, PH, and HUBB. Industrials are increasingly the bridge between the AI trade and the broader market because they monetize the physical buildout behind compute demand.
Utilities also get some support from the same theme, though the signal is more selective. Data-center electricity demand and grid investment should support power producers, transmission, nuclear, and regulated utilities with clean balance sheets. The better expressions are CEG, VST, NEE, SO, DUK, NLR, SMRF, and grid-linked funds such as GRID. However, clean-energy and uranium/reactor ETFs showed weak recent returns, so this is not a blanket clean-energy call. It is a power-availability and grid-infrastructure call.
Financials are improving. Finance/fintech ETFs gained more than 3% over 1 month and attracted roughly $616M of 1-month inflows, led by bank exposure. The macro backdrop helps: Fed stress tests showed large banks can absorb downturn losses, JPMorgan and Goldman Sachs raised shareholder payouts, and resilient activity supports capital markets and credit demand. Sector investors should favor large banks, broker-dealers, exchanges, and insurers over weaker regional-bank balance-sheet stories. Relevant ETFs and stocks include VFH, KBWB, IAI, KIE, JPM, GS, MS, BAC, WFC, CB, PGR, and AFL.
Health Care is becoming more interesting after a long period of underperformance. Biotechnology ETFs gained nearly 15% over 1 month and saw positive weekly and monthly flows, while obesity/diabetes drug spending remains a key structural growth area. This supports a more constructive tactical view on VHT, IBB, XBI, LLY, NVO, REGN, VRTX, AMGN, and select med-tech. The opportunity is not broad defensive Health Care alone; it is biotech momentum plus large-cap pharma earnings support.
Real Estate is a selective beneficiary. REIT ETFs gained more than 1% over 1 month and attracted roughly $1.9B of 1-month inflows, suggesting investors are willing to add income and rate-sensitive exposure when long yields stabilize. That supports VNQ, SCHH, USRT, PLD, AMT, EQIX, DLR, and O. But the signal does not extend cleanly to housing. Housing and autos ETFs were strong performers but saw nearly $300M of 1-month outflows, while new home sales missed and affordability remains constrained. Investors are buying REIT income more than they are buying a broad housing recovery.
The most vulnerable sector is Energy. Oil returning to pre-war levels, Gulf exports normalizing, lower war-risk premiums, and potential near-term oversupply all undermine the case for broad energy beta. Legacy energy ETFs were down sharply over 1 month and saw negative monthly flows. That argues for caution on VDE, XOP, OIH, FCG, and high-beta oil services. Midstream/MLPs look more stable than exploration and production, but the broad Energy sector is no longer getting clear thematic flow support.
Materials are also losing confirmation. Natural-resource ETFs saw the largest 1-month outflows in the thematic universe, led by weakness in gold, silver, miners, and resource hedges. Copper miners remain tied to electrification and AI power demand, but the broader resource complex is not being rewarded while oil and commodity-risk hedges unwind. That leaves Materials mixed: FCX, SCCO, NUE, VMC, and MLM can still work as infrastructure plays, but broad VAW and resource-heavy themes need better price confirmation.
Communication Services looks vulnerable beneath the surface. Internet/metaverse ETFs were weak and saw more than $1B of 1-month outflows, reflecting pressure on China internet, platform growth, and AI disruption concerns. Mega-cap platforms can still work if they monetize AI and control costs, but sector investors should avoid treating Communication Services as a broad AI beneficiary. META and GOOGL may remain actionable, but KWEB, FDN, ARKW, and metaverse-linked exposure are not getting flow support.
Consumer Discretionary is mixed. Travel ETFs showed strong returns, and lower oil prices help consumers, but housing/autos outflows and weak new home sales argue against a broad discretionary overweight. The better opportunities are selective travel, leisure, and high-quality retailers rather than homebuilders or EV/autos. VCR can work if the consumer remains resilient, but the sector lacks the same flow confirmation as Technology, Industrials, Financials, or Health Care.
The sector conclusion is that thematic flows are confirming a market led by AI infrastructure, power demand, banks, biotech, and REIT income, not a broad risk-on rally. The most supported sectors are Industrials, Information Technology, Financials, Health Care, and select Real Estate. Utilities deserve a selective upgrade where they connect to power demand and grid investment. The weakest sectors from a thematic-flow perspective are Energy, Materials, Communication Services, and housing-sensitive Consumer Discretionary.
For sector investors, the thematic flow inference at present is an AI infrastructure barbell: own Technology for semiconductors and compute, Industrials for grid and buildout, Utilities for power demand, Financials for bank capital return and nominal-growth leverage, and Health Care for biotech and obesity-drug momentum. Avoid broad commodity hedges, legacy energy beta, weak platform themes, and housing rallies that are not supported by fund flows.
Sources
- FactSet/StreetAccount Morning Headlines, June 25, 2026
- 6/25 Thematic ETF Dataset — (Sourced from FactSet)
- Bloomberg, Reuters, CNBC, FT, Nikkei, Politico, NY Times, Washington Post, Redfin, Axios
Disclaimer: This material is for informational and educational purposes only and should not be considered investment advice, a recommendation, or a solicitation to buy or sell any ETF, security, or strategy. Fund-flow and performance data can change quickly and may reflect short-term positioning rather than durable investor conviction. Past performance is not indicative of future results. Investors should consider objectives, risk tolerance, liquidity needs, and consult a qualified financial professional before making investment decisions.
