The Real Eisman Playbook

• Favor Microsoft (MSFT) and Amazon (AMZN) as conditional longer-term plays: a slower, more sustainable pace of AI data-center construction could ease capital needs and improve cash flow, potentially by late 2027.
• Be cautious with debt-dependent AI data-center builders CoreWeave (CRWV), Nebius (NBIS), and IREN; rising financing costs could constrain expansion.
• Treat AI infrastructure stocks—including NVIDIA (NVDA), AMD (AMD), and Vertiv (VRT)—as high-risk until the sustainability of data-center spending becomes clearer.
• Avoid Fiserv (FI) and FIS, which the host explicitly advised investors to stay away from amid weak growth and competitive pressures.

• Invest regularly in the S&P 500 for a long-term horizon, but recognize that its substantial AI exposure may limit diversification.
• Be cautious about buying a home now: ownership costs have risen sharply, and housing prices could weaken, though any decline may be gradual.
• Treat CoreWeave (CRWV) and Nebius (NBIS) as high financing-risk investments; their debt-dependent business models could suffer if borrowing remains expensive.
• Review private-credit and private-equity funds for redemption limits, leverage, and hard-to-value holdings before investing.

• Quanta Services (PWR) stands out as the clearest actionable infrastructure opportunity: EPS rose 82%, organic revenue grew 37%, backlog hit a record $64 billion, and the company raised guidance.
• GE Vernova (GEV) offers exposure to rising power demand, with orders up 96% to $29 billion and EPS up 193%; be mindful that the stock fell despite strong results.
• Treat CoreWeave (CRWV), Nebius (NBIS), and IREN cautiously: high borrowing costs and power-access constraints could derail data-center growth.
• Approach the potential Anthropic and OpenAI IPOs cautiously; scrutinize growth, pricing, compute costs, and profitability rather than relying on AI adoption alone.

• Consider gold as a potential hedge against geopolitical stress and reserve diversification; the discussion gives no price target or suggested allocation.
• Watch inflation data and upcoming Fed decisions: rising rate-hike expectations may increase bond-market volatility, so avoid relying on prior policy guidance.
• Treat rising Treasury yields as a risk to monitor as deficits grow and more buyers become rate-sensitive; no specific yield forecast or trade was offered.
• Be cautious with French sovereign bonds, whose appeal may depend more heavily on investor confidence and adequate compensation for fiscal risk.

• Consider shorting French sovereign bonds or limiting exposure; the France–Germany 10-year yield spread has widened to 175 basis points, reflecting rising debt and political risk.
• Favor well-capitalized AI infrastructure leaders such as Alphabet (GOOGL/GOOG) over debt-dependent CoreWeave (CRWV) and Nebius (NBIS); CoreWeave’s reported borrowing cost rose from 9% to 15%, increasing financing risk.
• Treat Tesla (TSLA) cautiously: revenue was flat, EPS fell 4%, and the outlook depends heavily on unproven autonomous-driving progress.
• For housing exposure, stay cautious on homebuilders such as NVR: orders missed estimates, while mortgage rates above 7% are weighing on affordability and demand.

• Consider GOOGL, GOOG, AMZN, META, and MSFT on pullbacks; favor platforms with strong existing businesses and the flexibility to scale AI spending back.
• Avoid treating AI infrastructure as a blanket buy: monitor spending returns, customer concentration, financing, and potential chip-margin pressure—especially at NVDA.
• Be cautious with CRWV: the discussion highlighted roughly $51 billion in debt, including leases, and did not view it as a preferred way to invest in AI.
• Approach private funds and private-credit investments carefully, checking liquidity limits, valuations, leverage, and potentially longer holding periods before committing capital.
• For a home purchase, prioritize affordability and personal needs rather than expecting price gains; the speakers cited mortgage rates around 7.5% and warned against assuming a home will be profitable.

• Avoid chasing highly leveraged AI infrastructure companies such as CoreWeave (CRWV); its debt trades below 90 cents on the dollar at an implied yield near 15%, signaling rising financing risk, and monitor Nebius (NBIS) for spillover.
• Treat private AI companies’ annualized revenue claims cautiously, especially when calculation methods are unclear or reported figures change.
• Don’t rush into major-bank stocks at current valuations: credit data remains healthy, but the discussion sees limited margin for error and dependence on a strong investment-banking cycle; Wells Fargo (WFC) was specifically viewed unfavorably because of weak revenue growth.
• Watch AT&T (T), Verizon (VZ), and T-Mobile (TMUS) for further reaction to Starlink’s spectrum move; the competitive threat may be overstated given the cost of building a terrestrial network, but no buy signal was given.

• Treat AI agents as a high-risk, developing opportunity: their potential to drive usage and revenue is offset by unresolved reliability, cybersecurity, and compliance issues.
• Monitor GOOGL for further disclosures on agent security and regulatory scrutiny; the discussion provides no price target or specific buy/sell signal.
• OpenAI and Anthropic are private, with no confirmed IPO timelines, so they are not directly actionable public-stock investments.
• Track regulation and open-weight competition as potential shifts in the AI landscape, but view claims that rules will entrench a few incumbents as speculative.

• Consider short-term U.S. Treasuries to park cash and reduce exposure to AI-driven market swings; no specific maturity or allocation was provided.
• Review your S&P 500 and corporate-bond exposure: AI-related companies make up a substantial share of both, so these holdings may offer less diversification than they appear to.
• Avoid rushing into bank stocks such as GS and MS while higher rates, recession risks, and elevated valuations remain concerns; the host said he was waiting.
• Treat healthcare and consumer staples as potential sources of less AI-linked equity exposure, but no specific stocks or allocation were recommended.
• The host covered his short in FICO after its steep decline, cautioning that even modestly positive news could trigger a rebound.

• With the 10-year Treasury yield near 5.25% and further upward pressure possible, limit exposure to long-duration bonds, whose prices are more vulnerable to rising rates.
• Consider Treasury bills for shorter-term Treasury exposure, but the discussion offers no specific bill recommendation or yield target.
• Treat housing and other borrowing-sensitive investments cautiously: mortgage rates are around 7%, with no clear near-term relief.
• Monitor refined-fuel prices and Fed balance-sheet policy, as both could add to inflation and bond-yield volatility; the insights provide no specific energy-stock trade.

• Treat FICO cautiously: Rocket Mortgage plans to default to VantageScore, so monitor lender adoption for evidence that FICO’s mortgage-scoring dominance is weakening; no price target was provided.
• Favor ServiceNow (NOW) and Salesforce (CRM) for further research: their deep integration into enterprise operations may make them more resilient to AI disruption, though this is not a buy recommendation.
• Consider cybersecurity a relatively resilient software theme, but the discussion named no specific stocks to buy.
• Avoid assuming that software selloffs are bargains: AI-related pressure on growth and pricing power, combined with high rates and leverage, raises risks for exposed companies and debt-heavy private-equity deals.

• Consider Cisco (CSCO) for AI-networking and campus-refresh exposure; track whether it delivers its 15% FY2027 revenue-growth guidance and roughly doubles hyperscaler sales.
• Arista Networks (ANET) offers more concentrated exposure to hyperscaler demand; compare its growth and valuation with Cisco before investing.
• NVIDIA (NVDA) remains a major AI beneficiary, but monitor customer concentration and whether AI spending stays strong.
• For Alphabet, Amazon (AMZN), and Meta (META), watch whether rising AI infrastructure spending produces returns without materially weakening free cash flow.

• Treat a 10-year Treasury yield above 5% as a warning signal for possible market volatility, not a guaranteed sell trigger; also monitor oil for geopolitical shocks.
• Be cautious with Oracle (ORCL) and Blue Owl Capital (OWL): Project Jupiter debt trading near 90 cents on the dollar, Oracle’s BBB- rating, and potential delays point to financing risk.
• Look beyond headline AI growth at debt, cash flow, and off-balance-sheet commitments across Alphabet (GOOGL), Amazon (AMZN), Microsoft (MSFT), Oracle (ORCL), and Meta (META) as AI infrastructure spending rises.
• View SoftBank’s planned $11 billion junk-bond raise to fund its $10 billion OpenAI investment as a high-risk leveraged bet; weigh the borrowing risk alongside any expected upside.

Consider shorting or avoiding Tesla (TSLA) near its current $360 price, as slowing vehicle sales and aggressive spending create significant downside risk toward an estimated fair value of $30 to $60 per share. Maintain a bearish stance on SpaceX around $140 per share, where expanding share supply and scheduled lockup expirations pose downside risk toward a fundamental range of $30 to $60. Reduce exposure to NVIDIA (NVDA) and the broader AI semiconductor sector due to extreme customer concentration and unsustainable infrastructure spending by cash-burning startups. Monitor the USD/JPY exchange rate closely, as rising Japanese bond yields threaten to reverse the global yen carry trade and drain liquidity from U.S. REITs and the NASDAQ. Keep Southwest Airlines (LUV) on your watchlist as a potential turnaround candidate supported by activist investor Elliott Management, though near-term upside remains sensitive to volatile jet fuel costs.

Consider taking a short or underweight position on Fair Isaac Corporation (FICO) and Equifax (EFX) as regulatory scrutiny and rising competition from VantageScore threaten their mortgage-scoring pricing power. Exercise caution around high-valuation AI infrastructure providers like Oracle (ORCL) and upcoming AI foundation lab IPOs due to escalating hardware costs and unsustainable cash-burn rates. To protect against broad tech pullbacks, rotate capital into defensive, low-correlation assets using the Franklin U.S. Low Volatility High Dividend Index ETF (LVHD), Invesco S&P 500 Low Volatility ETF (SPLV), or Invesco KBW Property & Casualty Insurance ETF (KBWP). Investors holding large unrealized gains in tech leaders like NVIDIA (NVDA) should consider tax-efficient hedging strategies, such as shorting against the box, to lock in profits without triggering immediate capital gains taxes. Finally, reduce exposure to Cryptocurrency and long-duration U.S. Treasuries, as stalled U.S. crypto legislation and heavy corporate debt issuance continue to push the 10-year U.S. Treasury yield toward the critical 5% threshold.

Hold Gold as a core, high-conviction hedge against persistent government deficit spending and global currency debasement over a multi-year horizon. Buy Golar LNG (GLNG) to profit from Argentina’s expanding energy sector through lucrative, 20-year floating liquefied natural gas contracts deploying next year. Opportunistically accumulate best-in-class software platforms like Alphabet (GOOGL), Intuit (INTU), and ServiceNow (NOW) only when severe market dislocations create discounted entry points. Consider a short position on Fair Isaac Corporation (FICO), which is vulnerable to regulatory crackdowns and client revolts after aggressive 1,600% credit-scoring price hikes. Exercise extreme caution around AI infrastructure leaders like NVIDIA (NVDA) due to heavy customer concentration and mounting financial stress across major AI startups.

Investors should lock in near-5% yields on U.S. Treasuries to secure an attractive, low-risk return while equity valuations remain pressured by high interest rates. Consider initiating a short position on Fair Isaac Corporation (FICO), as intensifying regulatory scrutiny and expanding market adoption of VantageScore threaten to dismantle its pricing monopoly. Target long-term artificial intelligence growth through Qualcomm (QCOM) and Amazon (AMZN), whose strategic enterprise chip partnership aims to challenge Nvidia and opens a potential $60 billion revenue pipeline. Exercise caution or trim exposure to Tesla (TSLA), where an extreme valuation of 220 times projected 2026 earnings leaves the stock vulnerable if autonomous robotaxi milestones fail to materialize. Maintain Gold (GLD) as a safe-haven hedge against geopolitical escalation and inflation, though yield-seeking investors should continue prioritizing high-yielding government debt.

Commercial and reinsurance brokers such as Aon (AON) and Marsh McLennan (MMC) represent the most attractive investment opportunity in the sector, supported by resilient commission revenues, negligible disruption risk from artificial intelligence, and organic growth that has bottomed at 4% to 5%.

Investors seeking a value turnaround should buy American International Group, Inc. (AIG) around its book value of $78 to $80 per share, with earnings growth through 2027 driven by internal restructuring and cost-cutting rather than broader pricing cycles.

For defensive exposure to commercial property and casualty, favor The Travelers Companies, Inc. (TRV) at 12x to 12.5x P/E over large-account carriers like Chubb Limited (CB) due to strong underwriting reserves and insulated middle-market pricing power.

Remain cautious on The Progressive Corporation (PGR) through 2027, as industry price cuts and driver-assistance safety technology permanently reduce vehicle collision frequencies and compress total market demand.

Avoid specialty insurers like Trupanion, Inc. (TRUP) and Kinsale Capital Group, Inc. (KNSL), which face slowing growth from pet insurance affordability limits and standard carriers competing away small-business policy volumes.

Rotate capital away from high-risk tech concentration into defensive assets like the Franklin U.S. Low Volatility High Dividend Index ETF (LVHD), Invesco S&P 500 Low Volatility ETF (SPLV), and Invesco KBW Property & Casualty Insurance ETF (KBWP).

Consider accumulating shares in Meta Platforms (META), as its $17 billion regulatory settlement substantially removes long-term legal overhang ahead of its platform modifications scheduled for September 2026.

Trim or avoid Oracle (ORCL) due to heightened balance sheet risk stemming from a near-junk BBB- credit rating and an estimated 50% backlog concentration tied directly to OpenAI.

Take profits or hedge exposure to NVIDIA (NVDA), which faces hidden downside from circular financing practices and five direct customers making up 70% of its accounts receivable.

Reduce exposure to mega-cap hyperscalers and grid suppliers like Microsoft (MSFT), Alphabet (GOOGL), Amazon (AMZN), and GE Vernova (GEV), as their current valuations are highly vulnerable to any slowdown in the $700+ billion AI infrastructure capital expenditure cycle.

Accumulate physical AI infrastructure and grid equipment providers like Quanta Services (PWR), EMCOR Group (EME), and Caterpillar (CAT) on market pullbacks to capture reliable cash flows from massive corporate data center spending.

Expand exposure to leading financials and brokerages like Goldman Sachs (GS) and Morgan Stanley (MS), alongside breakout active asset managers like State Street (STT) and T. Rowe Price (TROW) that are benefiting from market volatility and deregulation.

Initiate long-term turnaround positions in beaten-down life sciences and diagnostics leaders showing strong technical bottoming patterns, specifically Thermo Fisher Scientific (TMO) and Danaher (DHR).

Prioritize Japanese equities over European stocks for international diversification to capitalize on domestic reflation and shareholder-friendly corporate governance reforms.

Exercise caution and trim overextended independent power producers like Constellation Energy (CEG) and Vistra (VST) amid growing regulatory risks, while treating Big Tech hyperscalers (GOOGL, AMZN, MSFT, META) as cyclical trading plays rather than defensive cash-flow compounders.