Global fund manager sentiment is extremely optimistic, but rotation within risk assets is advised rather than chasing higher
AI summary card
Global fund manager sentiment is extremely optimistic, but rotation within risk assets is advised rather than chasing higher
The August Global Fund Manager Survey shows a notable increase in equity overweight positions and lower cash levels, while the macro “no landing” consensus reached a record high. With semiconductor crowding and AI risks still present, the report recommends a contrarian rotation strategy.
- Global equity allocation rose to a net 56% overweight, the highest since November 2021; cash fell to 3.5%, triggering BofA's cash-rule “sell” signal.
- 56% of respondents expect a global economic “no landing” over the next 12 months, while 37% expect double-digit earnings growth.
- Long global semiconductors remains the most crowded trade at 53%; an AI bubble is the largest tail risk at 32%.
- Investors increased allocations to equities, energy, and commodities while reducing bonds, industrials, and the euro; gold is viewed as the most undervalued since March 2023.
- The report's contrarian trades include: long bonds/short commodities, long consumer staples/short technology, long consumer discretionary/short banks, and long UK equities/short US equities.
Report interpretation
Overview
BofA surveyed 203 fund managers with combined assets under management of $581 billion from August 7 to 13, 2026. The results show a marked rise in global investor risk appetite: cash allocations declined further, global equity overweight positions reached a new high, and expectations for “no landing,” strong earnings, and continued AI capital expenditure became mainstream.
Core views
Market consensus is highly optimistic, which itself constitutes a contrarian risk. Investors remain overweight equities—particularly emerging markets, US equities, and technology—and underweight bonds and cash. Meanwhile, long semiconductors remain highly crowded, while an AI bubble and AI hyperscaler capital expenditure are viewed as major sources of tail and credit risk. The report therefore does not recommend further adding to risk assets, but instead advocates retreating or rotating within risk assets.
Analysis framework
The report is based on the monthly Global Fund Manager Survey, tracking respondents' views on growth, inflation, monetary policy, political events, tail risks, and changes in net overweight/underweight positions across assets and sectors, while using historical percentiles and standard deviations to assess the extremity of current positioning.
Methodology notes
Measures market consensus, risk appetite, and asset allocation through a fund manager questionnaire.
The survey covers macro expectations, policy, risks, crowded trades, and cross-asset allocations, with results expressed as the percentage of respondents reporting a net overweight or net underweight.
Extremely low cash levels are viewed as a contrarian signal of overheated risk appetite.
A “sell” signal is triggered when fund manager cash allocations are at or below 4.0%; this month's cash allocation was 3.5%.
Compares current allocations with long-term averages to identify crowding and extreme positioning.
Global equity allocation is 1.2 standard deviations above its long-term average, while cash allocation is 1.4 standard deviations below its long-term average.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- Global EquitiesOverall net 56% overweight, with risk appetite at elevated levels.
- Strengths
- Growth and double-digit earnings expectations are strong, while allocations to US equities and emerging markets continue to rise.
- Weaknesses
- Cash is extremely low and equity allocations are significantly above long-term averages, with market consensus becoming crowded.
- Comparison
- Investors clearly favor equities over bonds and cash; they also favor US equities over UK equities.
- Risks
- A disorderly rise in rates, an AI-theme valuation correction, and political events could trigger position reductions.
- Global SemiconductorsThe most crowded trade, with 53% of respondents choosing to be long global semiconductors.
- Strengths
- AI capital expenditure expectations remain resilient, with 71% expecting no capital expenditure cuts in 2026.
- Weaknesses
- Crowding is high, and an AI bubble is the largest tail risk.
- Comparison
- Crowding exceeds that of short yen and long Magnificent 7.
- Risks
- Slower hyperscaler capital expenditure, funding pressure, or valuation compression could lead to a rapid drawdown.
- BondsInvestors are net 39% underweight, and the report lists long bonds as one of its contrarian trades.
- Strengths
- The substantial underweight creates potential for contrarian positioning and hedging risk-asset volatility.
- Weaknesses
- Markets are concerned about a disorderly rise in yields, and the “no landing” consensus is unfavorable for bonds.
- Comparison
- This stands in sharp contrast to overweight positions in equities and commodities.
- Risks
- Renewed inflation, stronger-than-expected growth, and fiscal or political shocks could continue to push yields higher.
- GoldA net 16% of respondents view gold as undervalued.
- Strengths
- The degree of perceived undervaluation is the highest since March 2023 and can provide portfolio diversification.
- Weaknesses
- No explicit target price or near-term catalyst was disclosed.
- Comparison
- Compared with the high crowding in risk assets, gold's valuation sentiment is more supportive.
- Risks
- Rising real rates, a stronger US dollar, or a further increase in risk appetite could weigh on performance.
- CommoditiesNet 24% overweight, with a clear increase from last month; the report recommends shorting them as one contrarian trade.
- Strengths
- Supported by growth and inflation expectations, while energy allocations have also increased.
- Weaknesses
- Allocation has risen to 1.4 standard deviations above its long-term average, which may reflect elevated consensus.
- Comparison
- Investors increased commodity allocations while reducing allocations to bonds, industrials, and the euro.
- Risks
- Weaker growth expectations, a stronger US dollar, or easing supply shocks could trigger a correction.
Key data
- Respondents and assets under management203; $581bn AUMThe survey was conducted from August 7 to 13, 2026.
- Cash allocation3.5%Down from 3.6% in July, the sixth-lowest level since 1998, and triggering the cash-rule “sell” signal.
- Global equity allocationNet 56% overweightUp from a net 42% overweight last month, the highest since November 2021.
- “No landing” expectation56%A record high; another 34% expect a soft landing and 4% expect a hard landing.
- Double-digit earnings growth expectationNet 37%The highest since August 2021.
- Most crowded tradeLong global semiconductors: 53%Although down from last month's record high of 82%, it remains in first place.
- Largest tail riskAI bubble: 32%Ranked first for a second consecutive month; a disorderly rise in bond yields ranked second at 27%.
- AI capital expenditure risk38%Respondents view AI hyperscaler capital expenditure as the most likely source of a systemic credit event; 71% expect no capital expenditure cuts in 2026.
- Gold valuationNet 16% view it as undervaluedUp from 6% in July, the highest since March 2023.
- Bond and commodity allocationsNet 39% underweight bonds; net 24% overweight commoditiesCommodity allocation rose materially from a net 11% overweight last month.
Impact & implications
Extremely low cash, very high equity allocations, and the persistent “no landing” consensus indicate that markets have largely priced in growth and earnings, reducing the risk-reward of further chasing technology and semiconductors. If AI capital expenditure, rising rates, or political events prompt an expectations reset, crowded positions could amplify volatility. By comparison, underowned or valuation-supported assets such as bonds, consumer staples, consumer discretionary, UK equities, and gold are more attractive directions for rotation and diversification.
Risks
- An AI bubble and financing pressure related to AI capital expenditure.
- A disorderly rise in bond yields and a second wave of inflation.
- Highly crowded long trades in global semiconductors and technology.
- US midterm election results and their potential impact on equity and bond markets.
- Rising concerns about corporate balance-sheet leverage, with a net 19% of respondents viewing corporate leverage as excessive.
What to watch
- Whether fund manager cash allocations remain below 4.0%, and whether global equity overweight positions expand further.
- AI hyperscaler capital expenditure guidance, financing activity, and any signals of cuts.
- Whether semiconductor crowding continues to decline, and capital rotation among technology, banks, and energy.
- Federal Reserve policy communication at Jackson Hole and ahead of the US midterm elections.
- Changes in US Treasury yields, global inflation expectations, and gold valuation sentiment.
- Whether the global economic “no landing” consensus can be validated by actual growth and corporate earnings.