We track fresh interviews on the most reputable financial channels — CNBC,
Bloomberg, Yahoo Finance, Schwab Network and more — and use AI to distil what
top fund managers, strategists and economists are actually positioning for.
58
People recognized
77
Interviews summarized
51
Trusted sources
2026-07-13
Latest interview
Informational only, not investment advice. Each summary is an
AI-generated paraphrase of a public interview, attributed to the speaker and linked to
the original video. We don't reproduce transcripts. Always do your own research and
consult a licensed advisor before making investment decisions.
The Consensus Right Now
mixed
The collective consensus reflects a market caught between transformative technological optimism and significant valuation/geopolitical anxiety. While a strong contingent of strategists views the AI revolution as a structural, multi-year driver for equities—specifically in semiconductors and infrastructure—others warn of a potential 'eality check' if AI monetization fails to meet the massive capital expenditure requirements of hyperscalers.
There is a notable divergence regarding risk management: some advocates suggest aggressive, high-conviction bets on innovation, while others urge a defensive pivot toward capital preservation, liquidity, and diversification into international markets to hedge against US exceptionalism and potential volatility from Middle Eastern geopolitical tensions.
▲ Favored
AI-enabled enterprise softwareSemiconductors (specifically memory and infrastructure)CybersecurityHealthcare/Med-tech innovationInternational markets (Europe, Japan, India, Singapore)Structured credit
Optimism for AI-driven winners and infrastructure plays is tempered by warnings of extreme valuations and the need for proven monetization.
Bonds & Ratesneutral
Expectations are split between a cooling inflation/deflationary tech narrative and the risks of sticky core inflation and rising short-term yields.
Gold & Commoditiesmixed
Gold remains a key hedge against geopolitical shocks, while oil prices face volatility from supply-side risks in the Middle East.
Cryptoneutral
The panel did not provide a substantive consensus on crypto, though some noted it as a potential 'fad' subject to rotation.
Who's saying what
Philippe Laffont · Coatue Management — Make high-conviction bets on transformative innovation.
Bob Elliot · Unlimited Funds — Warns of a high-probability disappointment in AI-driven revenue growth.
Axel Merk · Merk Investments — Gold's recent decline is a temporary washout, not a structural change.
Mohnish Pabrai · Pabrai Investment Funds — Avoid 'hiny objects' like AI and Bitcoin in favor of deep value and moats.
Amos Hochstein · TWG Global — Geopolitical risks suggest oil prices have significant upside potential.
Key disagreements:Whether the AI infrastructure buildout is a sustainable cycle or a potential bubble/liquidity shockThe impact of geopolitical tensions on oil price stabilityThe effectiveness of the Fed's current policy stance and the necessity of real-time dataWhether semiconductor pullbacks are profit-taking or a fundamental regime shift
Synthesized from 58 recognized voices over the last 14 days
· updated 2026-07-13
Advocates long-term, bold bets on rapid technological change
Philippe Laffont says investors should first decide their risk tolerance, which could range from 0% to 100% of the portfolio. He then urges making high‑conviction bets that will look courageous in retrospect, based on the expectation that the world will change much faster over the next decade. This implies a preference for transformative, innovation‑driven assets, though he does not name specific securities.
South Korean semiconductor selloff is a profit-taking move, not a trend
She views the recent SK Hynix decline as investors locking in massive gains rather than a fundamental shift. She believes investors are rotating from Korean equities into US-based semiconductor names to find better value. She also notes that while AI demand remains high, the sustainability of usage depends on whether AI labs can transition from subsidized growth to profitable pricing models.
Oil price underprices geopolitical risk; expects continued volatility
Amos Hochstein argues that WTI crude around $73 is too low given elevated risks in the Strait of Hormuz, regional tensions, Ukraine-Russia fuel strikes, low U.S. inventories and approaching hurricane season. He sees no clear plan B, expects sporadic violence and a range‑bound oil market, but believes the market is not pricing in the potential for supply disruptions. Consequently, he views the current price as offering upside if geopolitical risk materializes, while noting Iran benefits from the situation by funding its re‑armament.
Favors short-duration and international bonds; cautious on long bonds and growth equities
Rieder warns that sticky inflation would pressure both long-duration bonds and equities, though equities can still rise if productivity gains keep costs contained. He recommends anchoring portfolios in the short end of the yield curve and in international markets where inflation pass-through is lower. On policy, he argues the Fed should tolerate above-trend growth to support employment and ease the U.S. debt burden. Seasonally, he expects summer–fall volatility, advising investors to trim growth-sensitive assets, overweight income-producing holdings through autumn, then reassess toward year-end.
Diversifying into private markets and non-US regions for growth
She manages a multi-asset portfolio focused on capital preservation and long-term growth through a mix of public and private investments. Her strategy involves heavy exposure to private equity to capture innovation in AI and space sectors, while diversifying away from US exceptionalism toward Europe, Japan, and emerging markets.
Bullish on Google, Amazon, cybersecurity, aerospace aftermarket
Jed Auerbach expects Google's recent equity issuance to signal high-return CapEx plans, forecasting a jump to $300‑325 billion by 2027 and strong earnings. He sees Amazon AWS revenue growth accelerating into the 30‑40 % range, driving upside. He also likes cybersecurity names like Fortinet, citing AI‑related demand, and aerospace aftermarket plays such as Transdigm, which he believes will outperform despite geopolitical oil‑price concerns.
Avoids SpaceX due to founder‑controlled governance risks
Anders Schelde, CIO of AkademikerPension, says the fund placed SpaceX on an exclusion list because its dual‑class structure gives Elon Musk excessive voting power, creating governance flaws and reputational risk for Danish members. He favors traditional governance principles—one share, one vote, separate CEO/chair, independent board—and warns that SpaceX’s success could encourage more founder‑controlled IPOs, which institutional investors should resist.
Gold correlations normalizing; medium-term outlook constructive
Merk argues gold's recent decline reflects a washout of speculative longs and a temporary correlation with rising yields during the Iran supply shock, not a structural change. He notes central banks remain steady buyers diversifying from dollars, and that the exit of 18 months' worth of speculators sets up a healthier medium-term backdrop. Gold acts as a haven when policy responds to crises with easing; because the Iran episode was a supply shock met with discipline, gold correctly fell. He expects correlations to stabilize as data softens and the Fed stays on a cutting path.
Warns on frothy valuations, favors earnings-driven selectivity
Sipahimalani describes the current market as earnings-driven with pockets of froth, particularly in deals priced at 50 times revenue. He argues such multiples can be justified only for companies with hypergrowth trajectories that could compress valuations to 10 times revenue within two years, but cautions that most will not achieve this. He advises concentration in high-conviction hypergrowth areas while maintaining diversification, and stresses a company-by-company approach rather than broad sector bets.
Bullish on early AI startups with vertical specialization
Rudina Ceeri, founder of Glasswing Ventures, emphasizes that early-stage AI companies with specialized data sets and clear monetization paths are the next winners. She notes that AI demand is a multi‑cycle, multi‑year trend, with vertical integration from chips to foundation models driving long‑term growth. While she cautions against overestimating scarcity in the sector, she remains optimistic about the sustained revenue potential of AI‑native SaaS and niche AI solutions.
Jeffrey Sherman, portfolio manager at Double Line Investments, highlighted that the rapid AI infrastructure buildout is adding inflationary headwinds through higher chip, power, and water costs, yet he noted that AI could become deflationary over the long term. He emphasized the need to monitor core inflation and Fed policy shifts, suggesting a cautious stance amid rising yields and potential rate cuts.
Deflation likely due to tech-driven yield curve flattening
Cathie Wood argues that the recent flattening of the yield curve signals deflationary pressures stemming from technological innovation, similar to patterns seen during the Industrial Revolution. She notes that long-term rates are rising less than short-term rates, or falling more sharply, indicating the market is pricing in lower future inflation. This view leads her to favor long-duration, innovation-focused assets while remaining cautious about traditional inflation hedges.
AI payoff slowdown may trigger recession, says Slok
Slok argues that while AI is transformative, current stock prices already assume hyperscalers will double revenue and free cash flow within three to four years. If AI monetization lags, those expectations could prove too optimistic, raising recession risks. He advises caution on AI‑related equities until clearer earnings emerge.
AI capex boom implies implausible revenue growth; rebalance don't short
Elliot argues the $5 trillion of projected AI capex through 2030 would require hyperscalers to generate $2-4 trillion of incremental revenue — an outcome that would demand >100% compounded annual sector growth for five years, a feat no technology wave has ever achieved at scale. With consensus expecting 31% annualized earnings growth and data-center expansion already decelerating from doubling to ~15%, he sees a high-probability disappointment ahead. Rather than short the bubble, he advises long-only investors to rebalance gains, reduce concentration, and stay liquid for a potential liquidity shock if the Iran-Hormuz conflict spikes oil and forces Fed tightening.
Prioritizes downside protection via deep fundamental research
Seth Klarman states that the mandate is to deliver good returns while limiting downside for clients. He emphasizes protecting capital by focusing on downside risk as much as upside potential. His approach relies on meticulous fundamental research on each company to identify margin of safety.
Andrew Graham maintains a strong conviction in the U.S. artificial‑intelligence and semiconductor space, arguing that the recent pullback in the AI theme presents a buying opportunity. He stresses that U.S. chipmakers such as Micron, SK Hynix ADRs, and Broadcom remain attractive due to their role in optical transceivers and hyper‑scale infrastructure, while noting that Chinese AI plays are not part of his current allocation. Graham also highlights the importance of cybersecurity spend, adding Tenable to his watch list. Overall, he views the sector as a risk‑on play with upside potential as AI demand continues to grow.
Views semiconductor dip as buying opportunity despite geopolitical volatility
Yardeni believes the recent decline in semiconductor stocks is profit-taking rather than a bubble burst, as the rally was driven by actual earnings. While he acknowledges that Middle East tensions and inflation risks are complicating the Fed's path, he sees an entry point for chips now. He previously advocated for a rotation into the Dow and Russell 2000.
Inflation peaked; Fed should wait; long‑term reforms bullish
Mohamed El-Erian believes the worst of inflation is behind us, with any remaining pressure mainly from AI-driven supply‑side positives. He expects the Fed to hold rates steady for the rest of the year, advocating a wait‑and‑see approach as the economy is in a good place. Over the longer term, he views the Fed’s shift toward framework guidance and the rise of geoeconomics as beneficial for markets, despite possible short‑term volatility.
Bullish on tech/AI, sees risk-on return, cash inflows
Liz Miller observes that risk appetite is returning as oil prices retreat, boosting equity markets. She highlights renewed investor interest in AI-related stocks and broader tech, including software names that had struggled earlier. Despite June's typical weakness, the month ended strong, and she expects cash inflows to sustain the rally.
Cautious on semiconductor cycle, bullish on US financials
Matias Ham, CIO of Bell Capital, cautions that while semiconductor fundamentals are still solid, the lagging capex of hyperscalers signals a potential slowdown in the cycle. He notes that falling oil prices are easing inflation concerns and that the US equity market should rebound, especially in financials, insurance and specialty sectors. Ham urges a broader equity exposure beyond the current AI and capex winners, highlighting the need to diversify into more stable, lower‑priced segments.
Sarah Ketterer explains that Causeway uses AI mainly to speed up data processing and model testing, while still valuing human judgment for investment decisions. She sees AI as an accelerator that will shorten drug discovery, clinical trials and regulatory approvals, boosting margins and cash flow in pharma and medical‑device companies. The firm is adding more medical‑technology holdings and remains optimistic about the long‑term upside of AI in healthcare, while noting that SaaS and other regulated software businesses still enjoy strong moats. Overall, she maintains a risk‑on stance on the healthcare sector.
June Bae Liu argues that while Korea remains a key AI play, investors should broaden beyond hyperscalers to companies that benefit from AI infrastructure. She cautions that valuation pressure and declining hype on hyperscalers mean a focus on resource chains—especially copper—and secondary impact firms in Australia, China, and Korea will deliver better earnings. Her view is that AI will continue to drive growth, but the story must shift to cash‑generating businesses.
Krugman argues that US job growth has downshifted in line with slower labor force growth due to reduced immigration, indicating a soft labor market where workers lack bargaining power. He believes the break‑even job growth rate has fallen and current data are noisy, showing no clear deviation from trend. He is disturbed by Kevin Warsh’s call for more real‑time Fed data, warning against overly reactive monetary policy, and notes AI’s impact remains uncertain but likely capital‑biased.
Liz Ann Sonders sees downside pressure on headline inflation from lower oil prices but notes persistent stickiness in core measures, especially services ex‑housing. She believes the Fed may consider tightening, though markets are in a wait‑and‑see mode regarding the new chair’s task forces and communication strategy.
Meb Faber stresses the long‑term strength of the U.S. market while warning that current valuations are high and could trigger a pullback. He remains bullish on U.S. equities but urges investors to diversify internationally and to be mindful of valuation resets. Faber highlights the U.S. as the world’s leading innovation hub, but notes that China and India could gain market share in the coming decades.
AI‑first early‑stage VC focused on enterprise software
Mamoon Hammed, a long‑time Kleiner Perkins partner, is steering the firm toward early‑stage Series A investments in AI‑enabled enterprise software, healthcare, transportation, and automation. He stresses the transformative power of generative AI as a labor‑augmenting force, targeting high‑skill, high‑pay sectors first and then moving down the labor pyramid. Hammed emphasizes the need to identify the eventual winners in each category, noting that a small number of companies will dominate the market. He also highlights the importance of in‑person founder meetings and a rigorous review of missed deals to refine the firm’s investment thesis. Overall, he views AI as a “second industrial revolution” that will reshape every economic sector.
Hamid says Kleiner Perkins is refocused on seed and Series‑A investments that are AI‑enabled, especially in enterprise software, healthcare, transportation and autonomy. He likens the AI wave to the Industrial Revolution and believes the biggest upside is AI acting as a unit of labor for white‑collar work. While he acknowledges lofty valuations, he looks for founders with ambitious, high‑impact ideas and a clear path to become market‑dominant “winner‑takes‑most” companies. Internally the firm uses AI tools for knowledge management and deal‑flow analysis.
▲ AI sectorlong
▲ Enterprise softwarelong
▲ Anthropiclong
Liquidity and commodity resilience drive his outlook
Vandenberg says the biggest mis‑pricing is liquidity risk; investors still undervalue the need for permanent capital that can absorb market shocks. He views oil and other commodities as more resilient than many expect and warns that “risk‑free” reserves can become risky under sanctions. He therefore favors assets that are liquid and convex, and steers clear of short‑volatility exposures that could be crushed by sudden spikes.
Institutional demand offsets heavy investment grade supply
He notes that pension funds and insurance companies are driving significant demand for fixed income to manage long-term liabilities. While high-quality hyperscalers continue to flood the market with debt for AI infrastructure, he believes the market remains a good environment for picking structured credit.
▲ investment grade creditadd
▲ AI infrastructure creditlong
Asia remains a structural growth play despite AI pullback
Vis Nayar said Eastspring stays bullish on Asian equities, viewing the AI cycle as a long‑term growth story and seeing current pullbacks as buying opportunities, especially in sectors with better valuations such as Singapore, India and selective credit. He highlighted concerns about overcapacity in memory chips but believes capacity constraints will ease, keeping the AI narrative intact. He also noted a modest allocation to gold for diversification and a tactical, dry‑powder approach to regional credit.
▲ Asian equitieslong
▲ Asian high‑yield creditadd
▲ Goldadd
Shorts on Caterpillar, Nvidia, and semiconductor ETF
Michael Berry has taken short positions in Caterpillar, Nvidia, Applied Materials, and a semiconductor ETF, citing overvaluation and a potential slowdown in the chip industry. He is trimming exposure to the sector and betting on a pullback.
Targeting overlooked IP assets for outsized returns
Collins says Cloverlay seeks “un‑correlated” intangible assets such as legacy brand IP, treating them like royalty streams rather than consumer products. The firm bought the Care Bears IP at a $100 million valuation and expects high multiple returns by licensing and expanding the brand, while avoiding exposure to retail sales cycles. He views nostalgic‑economy IP as a defensive, cash‑generating niche amid broader market volatility.
Bullish memory chips on AI-driven supply bottleneck
Chen argues that AI infrastructure demand has created a structural memory chip shortage likely to persist for two to four years, as new fab capacity cannot come online quickly enough. He points to recent price hikes by Apple and Xbox as evidence that memory makers now wield genuine pricing power, which should support earnings. His KMEM ETF concentrates 80% of assets in the three dominant suppliers — Micron, SK Hynix, and Samsung — with a deliberate overweight in SK Hynix (half of that 80%) to give global investors access to the Korean names they otherwise cannot easily buy. He sees the upcoming SK Hynix ADR cross-listing on July 10 as a potential catalyst.
Positions for rising volatility via alternatives; sees rate hikes as manageable
Sissel argues that the Fed's abandonment of forward guidance will reintroduce healthy volatility into markets, a shift she has anticipated since early 2026. She recommends allocating 10-20% of portfolios to diversifying alternatives — managed futures, long/short equity, market-neutral, commodities, and trend-volatility strategies — now accessible via ETFs and interval funds. While acknowledging that rate hikes could arrive later this year, she notes historical evidence shows they do not consistently hurt risk assets or small caps, and believes markets have ample time to adjust.
Value investor avoids AI hype, favors hated Turkish assets and Berkshire
Pabrai runs a $1.4B global equity portfolio via hedge funds and an ETF, adhering to a Buffett-style buy-and-hold-forever philosophy. He currently holds ~70% of capital in Turkey, highlighted by a 40% stake in warehouse lessor Reysas bought at 2% of liquidation value. He views Korea's demographic decline as a structural headwind but sees the memory-chip duopoly (Samsung, SK Hynix) as a protected oligopoly — holders should not sell, new buyers should wait. He avoids loved themes like AI and Bitcoin, calling them shiny objects destined for rotation into the next fad (e.g., SpaceX IPO). For most investors he prescribes index funds; for stock-pickers he demands zero leverage, a durable moat, and owner-oriented management, screened through a 213-item checklist derived from studying past investing crashes.
Predicts a 70%+ drop, urges staying out of US equities
Grantham says the U.S. market is the most expensive in American history and is due for a sharp correction, estimating a 70‑75% decline from current levels. He advises investors to avoid U.S. stocks and shift to non‑U.S. equities, including Europe, Canada, Australia and emerging markets, while remaining skeptical of crypto and viewing AI‑driven hype as a bubble risk. His bearish stance is driven by historic valuation metrics and the over‑investment cycle in AI and tech.
▼ U.S. equitiesavoid
▲ Non‑U.S. equitieslong
▼ Bitcoinavoid
Adding AI‑enabled infrastructure, eyeing Microsoft
Tangler says her fund has already outperformed benchmarks by rotating out of over‑weight tech and into infrastructure names that are benefiting from AI‑driven productivity gains. She plans to add selective tech stocks, citing Microsoft as one of her top‑12 ideas, expecting Azure to monetize AI despite current pricing pressure. She remains bullish on old‑economy companies that are successfully pivoting to AI, such as Walmart and L3Harris.
Adam Hett emphasizes a broad, diversified approach to the AI boom, noting that while memory and semiconductor names are attractive, the overall cycle is expanding beyond a single sector. He advises maintaining a balanced allocation across U.S. small‑caps, international developed and emerging markets, and is open to adding exposure to AI‑related tech while avoiding concentration in any one sub‑sector.
▲ U.S. Small‑Cap Indexadd
▲ Emerging Markets Equity Indexadd
Max Kuck argues that the current AI tech wave is triggering a software handoff where private AI labs will generate more net new ARR in Q2 than all hyperscalers and public software companies combined. He expects market leadership to shift, with today’s top software firms likely to be displaced by emerging AI players such as OpenAI and Anthropic. While he sees heightened volatility and drawdowns in the broader software sector, he views the AI lab segment as a key area of opportunity.
▲ AI Labs (private AI companies)long
▼ Public Software Sectoravoid
Selene Woo, head of Lazard’s Global Robotics and Automation team, maintains a strong long position in memory‑chip makers, citing structural demand from cloud providers and the growing importance of HBM for AI inference. She argues that the supply side is constrained by high capital intensity and manufacturing complexity, keeping the memory sector in a favorable supply‑demand balance. Woo also highlights the strategic value of companies that supply AI hardware, noting that the capital expenditure cycle is accelerating as hyperscalers expand their data‑center footprints. Overall, she views the memory trade as a long‑term opportunity with a robust upside.
Summaries are AI-generated paraphrases of publicly available interviews, provided for
informational purposes only and attributed to the original video. They are not, and should
not be relied upon as, investment advice or a recommendation to buy or sell any security.
We do not reproduce interview transcripts. Always do your own research.
Frequently asked questions
What are top hedge fund managers saying about the market right now?
We track recent interviews of leading fund managers and summarize each
one's current market positioning — what they favor, avoid, are buying or selling — plus an
aggregated consensus across them, updated continuously.
How are these manager summaries created?
Each summary is an AI-generated paraphrase of a public interview from a
reputable channel, attributed to the speaker and linked to the original video. It is
informational reporting, not investment advice.
Is this investment advice?
No. These are short, AI-generated paraphrases of what managers said
publicly, provided for informational purposes only. Always do your own research and consult
a licensed advisor before investing.
👋
Welcome to 13Foresight!
We track 13F filings from thousands of hedge funds and alert you when your followed funds file new positions.