Podcast10x sponsors this episode

Podcast10x is a podcasting agency that helps VC firms launch and run their podcast end-to-end. A podcast gives firms a platform to showcase their unique deal flow (access), portfolio insights, and LP relationships — building a distinct brand, not another VC firm.

We only require a 30-minute/week time commitment from our clients while we handle everything from production to publishing.

Let’s talk! (limited client slots)

About the guest:

Jeffrey Blazek is Co-CIO of Multi-Asset at Neuberger Berman, a $600B global asset management firm with seven hundred investment professionals across thirty-plus offices worldwide. With nearly three decades of experience, Jeff has managed capital across institutions of every scale — from college endowments to New York Presbyterian's eight-billion-dollar investment pool to the Texas Teachers Retirement System, which now exceeds $200B. At Neuberger, he leads multi-asset allocation strategy, advising nonprofits, pensions, endowments, family offices, and individual investors on navigating complex market environments.

The One Macro Assumption That's Permanently Broken

This episode was recorded on the Monday after the US-brokered Iran peace deal was announced, with the formal signing set for the following Friday in Switzerland.

Against that backdrop, Jeff is asked which of the three pillars that defined institutional investing for a generation — falling rates, globalization, and stable geopolitics — is most structurally compromised.

His answer is emphatic: globalization. Rates can swing in either direction depending on the macro cycle. Geopolitics is volatile by nature. But the forces driving deglobalization — supply chain paranoia post-Covid, onshoring incentives, political nationalism, and trade rhetoric — represent a durable structural shift. At Neuberger, Jeff explains, deglobalization is one of four secular themes they call the "four D's," alongside demographics, digitization, and related forces.

The investment implication is not subtle: persistent upward pressure on inflation, higher structural costs for global businesses, and a rethinking of supply assumptions baked into long-term return models.

The Risk Institutions Keep Confusing With Safety

Jeff offers a reframe that runs through the entire conversation: most institutional investors are managing the wrong risk. They obsess over volatility — monthly drawdowns, short-term fluctuations — when the actual enemy is the failure to preserve purchasing power over decades.

"Why would I care if the month of April 2019 was volatile or not?" he says. What matters, over a twenty-year horizon, is whether a portfolio maintained real value. And on that dimension, too many institutions are positioned far too conservatively.

The behavioral driver, he argues, is career risk — investment committees and CIOs who anchor to volatility metrics because they're easier to explain and harder to get fired over. This creates a systematic bias toward apparent safety at the cost of actual long-term performance. The portfolio looks prudent. The purchasing power doesn't survive.

When Your Diversifiers Stop Diversifying

Bonds were supposed to be the safety net. For the decade following the global financial crisis, they were negatively correlated with equities, safe-haven status, and a reliable counterweight in volatile markets. Then came the inflationary cycle, and the relationship broke down completely.

Jeff's diagnosis is that the traditional 60/40 framework has failed on its diversification promise, not just its return promise. Bonds and equities are now frequently moving together, which is the worst possible outcome for portfolios that relied on the relationship for risk management.

His prescription: a 10 to 20 percent allocation to liquid alternative strategies — genuinely alpha-generative, uncorrelated approaches that have been stress-tested to confirm they're not just disguised beta. The key test is studying factor exposures during periods of market stress. Is the return coming from true skill, or is it equity risk repackaged?

Beyond that, Jeff makes an unexpected case: catastrophe bonds. These reinsurance instruments — covering perils like wildfires and hurricanes — generate 10 to 15 percent returns with literally zero correlation to equity or rate risk. The catch is headline sensitivity: investors are understandably uncomfortable with instruments tied to natural disasters, which is precisely why the capital gap exists and the premium persists. Jeff calls it "out of left field," but frames it as a compelling structural opportunity for sophisticated allocators who can stomach the optics.

Portfolio Scale: Where Size Is Actually an Advantage

Jeff has managed capital at every scale — under $100M, at the $1B to $10B range during his New York Presbyterian days, and at over $100B at Texas Teachers. His conclusion is counterintuitive: bigger is not better, and very small is constrained in ways most acknowledge. The real sweet spot is the $1B to $10B range.

At that scale, institutions can hire serious allocators because the budget supports it. A 1 percent position doesn't move the market. A fund investment of any reasonable size doesn't absorb the whole vehicle's capacity. The opportunity set is enormous and accessible. Go to $100B and you're fighting market impact on every reallocation. Stay below $100M and you're largely limited to passive equity exposure with a buy-and-hold overlay.

The implication for smaller pools: stop trying to replicate endowment-model complexity. Lean passive, extend your time horizon, and resist the urge to add alternatives that require scale to execute properly.

The One Question Every New Asset Class Must Answer

Before any new asset class earns a permanent place in a portfolio, Jeff applies a single filter: what are the structural drivers of return? Not the narrative, not the momentum, not the institutional FOMO — the actual mechanism by which this asset generates a return over time.

He uses crypto as a stress test. Neuberger has studied it closely and monitors stablecoins, but has not made it a meaningful allocation. The reason is not ideological — it is that the structural return driver was never intuitive. Equities have centuries of data on how profits flow to shareholders. Bonds have interest rate mechanics and credit risk premia that are well understood. Crypto had none of that clarity, and recent analysis suggesting its real return may be close to zero vindicates the caution.

The second cautionary example is real assets as an inflation hedge. There was a relationship — but not a reliable one. Investors who built portfolios around real assets as a fail-safe inflation protection learned that a thematic label is not a return driver. The correlation existed in some regimes and vanished in others.

The framework is simple but demanding: if you cannot articulate the structural mechanism that generates the return — and trust that it will persist across market cycles, not just in the environment where the asset class was first popularized — it does not deserve a permanent allocation. Fads have structural stories too. The difference is whether the story survives adversity.

AI Investment: Conviction, Concentration Risk, and the Commoditization Trap

Jeff is genuinely bullish on AI as a secular theme — Neuberger has been positioning portfolios around it since the GPT inflection point became clear, roughly three or four years ago. But the conviction comes wrapped in serious caveats.

The demand picture remains strong: compute supply still lags demand, infrastructure investment is still trailing the need for that compute, and real-time demand indicators haven't shown deceleration. Valuations, for now, are being justified by actual earnings step-ups rather than narrative.

The concentration risk, however, is extraordinary. Depending on how you measure it, AI-exposed companies represent 50 to 60 percent of equity portfolio exposure for many institutional investors. That's a level of single-theme concentration that demands active management, not passive index tracking.

On the bear case, Jeff identifies two distinct failure modes. The first is controlled commoditization: too many undifferentiated players, margin compression, and a race to the bottom on pricing. The second — and the one he assigns more probability — is a winner-take-most dynamic where a handful of models with the best infrastructure and training pipelines capture nearly all the value, while hundreds of smaller players go to zero. The railroad analogy is instructive: transformative technology, enormous long-term social benefit, and massive capital destruction along the way.

What LPs Got Wrong in Private Markets — and How to Fix It

The private markets buildup of five to seven years ago was miscalibrated, Jeff argues. Too much capital was committed, the programs became oversized relative to portfolio targets, and distributions have been chronically delayed. Endowments and foundations in particular over-indexed to venture capital and growth equity — chasing extreme multiples at the cost of capital that may take fifteen to twenty years to come back.

The corrective isn't a retreat from private markets. It's a rebalancing toward strategies that return capital sooner: private credit, capital solutions, secondaries, and co-investments. These vehicles can start generating distributions in three to five years rather than a decade. They offer better visibility into underlying assets and provide the liquidity management that the venture-heavy vintage years conspicuously lacked.

The meta-lesson: think of private equity as a program, not a collection of individual fund bets. Size it as a system, model the cash flow dynamics across vintages, and build in enough liquidity buffer to avoid forced selling or extension pressure.

The Manager Meeting Hack That Actually Works

After evaluating thousands of investment managers, Jeff has a clear method: read the materials before the meeting, tell them you read the materials, and go straight into Q&A. No deck walkthrough. No scripted narrative.

The reason: a manager's pitch deck represents their best curated story. Everything on script is designed to obscure weakness and amplify strength. The only way to understand actual process quality is to go off script — ask about specific portfolio positions, not the headline names. When did you enter? What was the thesis? Why is it still there? Then look for internal contradictions.

This isn't an adversarial technique. It's diagnostic. The wiring of a manager's investment process — how they think under pressure, whether their rationale is consistent, whether they can articulate what would prove them wrong — is only visible when they're not performing.

The Rubik's Cube Problem: Hospitals, Endowments, and Family Offices

Jeff's most complex portfolio construction challenge wasn't a sovereign wealth fund or a university endowment. It was New York Presbyterian Hospital — a pool of capital that is simultaneously long-term (theoretically investable like an endowment) and operationally critical (a single Covid-scale shock can change the spending requirement overnight).

The solution he applied: segment the pool. Short-term operational capital stays in cash. Intermediate needs with some flexibility go into a conservative but not static allocation. Only the true residual — capital that genuinely doesn't need to be touched for decades — gets the endowment-model treatment.

For family offices, the parallel challenge is behavioral. Families that adopt institutional frameworks without the institutional governance to support them are setting up for a painful mismatch.

Jeff's recommendation: build an independent investment committee that removes the family principal from day-to-day decisions. The goal is to get the benefits of institutional process without letting personal wealth anxiety override long-term positioning.

The Real Reason Portfolios Are Too Conservative — and the Cost of Getting Sucked Into the Headlines

There is a gap between what institutions say they want — liquidity, downside protection, returns — and what their portfolios actually deliver. Jeff's diagnosis is that the gap is not primarily an analytical failure. It is a behavioral one, driven by two forces: career risk and discomfort with volatility.

Career risk shapes portfolio construction in ways that are rarely acknowledged explicitly. An investment committee that builds a conservative, low-volatility portfolio can always defend the decision. A committee that embraces higher equity orientation and then lives through a painful drawdown faces a much harder conversation — even if the long-term outcome is superior. The result is a systematic bias toward apparent safety that erodes purchasing power over time. Portfolios end up returning 6 percent over a decade when 10 percent was available.

The second force is the pull of short-term noise. Jeff points to two specific events in the last fourteen months — Liberation Day and the Iran War — as real-time tests of this. Both felt existential in the days and weeks immediately after. Both generated commentary about permanent impairment to equity markets. Both turned out to be transient.

His prescription is not to ignore the news but to maintain the discipline to look through it. The balance between staying informed and not letting short-term developments override a long-term framework is, in his words, one of the greatest balancing acts in investing. It is also one that experience, mentorship, and a grounding in market history make progressively easier — which is precisely why seasoned judgment at the investment committee level is not optional.

Where Rates Are Headed — and Why the Old Playbook Is Gone

Jeff's fixed income framework rests on a structural argument: nominal interest rates tend to converge with nominal GDP growth over long periods. If the US economy is running at 3 percent real growth with 3 percent inflation — roughly 6 percent nominal GDP — then 5 percent on the ten-year Treasury and 6 percent or higher on the thirty-year becomes a plausible sustained regime, not a temporary anomaly.

The deeper risk is deficit spending. Sustained high deficits in the US and other developed economies risk crowding out capital markets or sustaining the higher-for-longer rate environment even if inflation moderates. There's no easy resolution Jeff sees on the horizon — the debt sustainability math is genuinely hard to square.

The portfolio implication: the bond allocations sized for a zero-rate world need to be rethought. Not necessarily eliminated — bonds still serve duration and liquidity functions — but calibrated to a structurally different rate environment than the one most institutional policy benchmarks were designed around.

Key Takeaways

  • Deglobalization is the most durably broken macro assumption — not rates, not geopolitics. The supply chain, onshoring, and political incentives driving it are structural, not cyclical.

  • Institutions are managing the wrong risk. Volatility is short-term noise. Purchasing power erosion is the actual long-term threat — and most conservative portfolios fail that test.

  • Bonds no longer reliably diversify equity risk. A 10 to 20 percent allocation to genuinely alpha-generative liquid alternatives is the practical replacement.

  • Catastrophe bonds (10 to 15 percent return potential, zero equity correlation) are Jeff's non-consensus idea — capital-scarce precisely because of headline discomfort, which creates the premium.

  • The $1B to $10B institutional sweet spot has the best risk/return access profile — large enough to hire real allocators, small enough not to move markets.

  • AI concentration risk is real: 50 to 60 percent of many portfolios. The likely outcome is winner-take-most, not broad-based gains — hundreds of AI companies will likely fail as investments.

  • Private market programs were miscalibrated in 2017 to 2020. The fix: more private credit, secondaries, and co-investments that return capital in 3 to 5 years, not 15 to 20.

  • The best manager due diligence technique: read the deck before the meeting, tell them, then go straight to Q&A on specific portfolio positions. Off-script behavior reveals actual process quality.

  • Family offices need independent investment governance — not just institutional strategies. The behavioral mismatch between family anxiety and long-horizon allocations is the biggest failure mode.

  • If nominal GDP runs at 5 to 6 percent, rates at that level aren't an anomaly — they're equilibrium. Deficit risk could keep them there even longer.

  • Every new asset class must pass one test: can you articulate its structural return driver? If not — as with crypto or real assets as an inflation hedge — it does not deserve a permanent allocation.

  • Institutional conservatism is often career risk in disguise. The gap between what portfolios return and what they could return is frequently a behavioral gap, not an analytical one — and Liberation Day and the Iran War proved it in real time.

Follow VC10X on Linkedin for new episodes, clips, and fund management insights every week.

Know someone who needs to hear this? Forward it on.

If someone forwarded this to you, you can subscribe here to receive future issues.

Keep Reading