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      <plainLiteral>A peer-analysis piece examining Anthropic against comparable companies across several dimensions relevant to institutional and advisor audiences tracking the AI sector.</plainLiteral>
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      <plainLiteral>Kenney, writing as a Partner at NEPC, examines the rise of hospitals and health systems investing directly in healthcare companies or through healthcare-focused private equity funds as a way to drive clinical innovation and financial returns. Drawing on an NEPC survey of 21 healthcare providers, he reports that 71% were either already making strategic investments or considering them, though most held five or fewer at the time — and that the trend was concentrated among larger organizations, with the majority of respondents holding over $1 billion in operating assets. He walks through the key decisions providers face: whether to invest directly or through funds (nearly half do both, though most found evaluating direct deals far more daunting than fund investments), whether to pursue a broad or targeted sector approach, how to measure clinical and financial success given the longer timelines involved, and how to coordinate between treasury/finance and innovation teams, which he found was often a weak link. Kenney concludes that despite being an early-stage trend, strategic investing is likely to become as routine for well-resourced health systems as alternatives or liability-driven investing have become, provided organizations approach it with patience and sound governance.</plainLiteral>
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      <plainLiteral>Kenney, writing as a Partner at NEPC, examines the rise of hospitals and health systems investing directly in healthcare companies or through healthcare-focused private equity funds as a way to drive clinical innovation and financial returns. Drawing on an NEPC survey of 21 healthcare providers, he reports that 71% were either already making strategic investments or considering them, though most held five or fewer at the time — and that the trend was concentrated among larger organizations, with the majority of respondents holding over $1 billion in operating assets. He walks through the key decisions providers face: whether to invest directly or through funds (nearly half do both, though most found evaluating direct deals far more daunting than fund investments), whether to pursue a broad or targeted sector approach, how to measure clinical and financial success given the longer timelines involved, and how to coordinate between treasury/finance and innovation teams, which he found was often a weak link. Kenney concludes that despite being an early-stage trend, strategic investing is likely to become as routine for well-resourced health systems as alternatives or liability-driven investing have become, provided organizations approach it with patience and sound governance.</plainLiteral>
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      <plainLiteral>Kenney examines how private companies now stay private longer, prompting managers to court retail investors as an untapped source of capital. He explains that private markets lack the disclosure and real-time pricing public markets have, leaving investors reliant on GP-reported valuations that lag behind current conditions. Only a few hundred of roughly 300,000 private companies trade with enough secondary volume for reliable pricing. He notes that the most liquid private-market segment is even more concentrated than the S&amp;P 500, both in its largest holdings and its heavy tilt toward technology, with SpaceX's IPO reinforcing that skew. Kenney concludes that better data, secondary pricing, and index construction are gradually closing the gap between private and public markets, giving investors more confidence as access to this space widens.</plainLiteral>
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      <plainLiteral>Kenney lays out practical guidance for family offices building a direct-investment program, building on the mixed performance findings from his earlier piece. He frames several key strategic choices: pairing direct deals with GP-led fund investments rather than treating them as either/or, weighing active board-level involvement against more passive participation, and favoring buyout-style deals over venture capital, where information asymmetries and high failure rates make direct investing especially hard. He also addresses co-investing versus solo deals, sector-focused versus generalist approaches, whether to build capabilities in-house or lean on outside experts, and the tradeoffs of investing alongside partners. He closes with three core recommendations: rigorous due diligence focused on the family office's real competitive edge rather than just fee savings, strong governance around capital-deployment decisions and follow-on financing rounds, and self-awareness about organizational blind spots so investment size and complexity stay within the office's actual capabilities.</plainLiteral>
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      <plainLiteral>Kenney lays out practical guidance for family offices building a direct-investment program, building on the mixed performance findings from his earlier piece. He frames several key strategic choices: pairing direct deals with GP-led fund investments rather than treating them as either/or, weighing active board-level involvement against more passive participation, and favoring buyout-style deals over venture capital, where information asymmetries and high failure rates make direct investing especially hard. He also addresses co-investing versus solo deals, sector-focused versus generalist approaches, whether to build capabilities in-house or lean on outside experts, and the tradeoffs of investing alongside partners. He closes with three core recommendations: rigorous due diligence focused on the family office's real competitive edge rather than just fee savings, strong governance around capital-deployment decisions and follow-on financing rounds, and self-awareness about organizational blind spots so investment size and complexity stay within the office's actual capabilities.</plainLiteral>
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      <plainLiteral>Direct Investing: Tips for Setting A Program Up for Success</plainLiteral>
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      <plainLiteral>Kenney examines the limited data available on the performance of direct private investments and finds the results mixed at best for family offices. While direct investing appeals to wealthy individuals because it avoids the management and performance fees charged by private equity funds, he notes there's little proof it beats fund benchmarks — individual investors struggle to match the experience, networks, and deal access of professional PE firms. Drawing on a 2014 academic study of seven large institutional investors (average AUM of $94 billion, 390 transactions from 1991–2011), he reports that co-investments tended to underperform the funds they rode alongside — largely due to adverse deal selection in hot markets — while solo direct deals outperformed funds overall, though both approaches lost ground over time. The piece concludes that proximity and hands-on involvement improved outcomes, and that direct investing is toughest to pull off in areas like venture capital, where general partners hold a strong information edge.</plainLiteral>
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      <plainLiteral>This piece explores how direct indexing is emerging as a complement to, rather than a replacement for, ETFs in advisor portfolios. Kenney, quoted throughout as SVP of Client Solutions at Syntax Data, argues that while ETFs remain valuable for their simplicity, liquidity, and cost efficiency, they can't yet match the customization, precision, and tax optimization that direct indexing offers. He points to inconsistencies among cybersecurity-themed ETFs as an example of how different providers can implement the same investment theme in very different ways, whereas a direct index lets an advisor define exactly what characteristics they want, removing ambiguity about what's actually being held. The article also cites SSGA's Allison Bonds Mazza, who notes that direct indexing has become more accessible thanks to technological advances that reduce its historical cost and complexity. Kenney illustrates a practical 'core-satellite' use case: a family with significant real estate exposure using a broad Russell 3000 ETF as a core holding while adding a direct index built around non-residential REITs to avoid doubling up on housing risk. He concludes that the choice isn't ETFs versus direct indexing, but rather how advisors blend the two to fit each client's needs, with ETFs serving as the portfolio's foundation and direct indexing layered on top for personalization.</plainLiteral>
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      <plainLiteral>Kenney uses Syntax's proprietary classification framework to show that standard geographic benchmarks carry more hidden sector concentration than conventional classification systems reveal. Looking at the S&amp;P 1500, MSCI EAFE, and MSCI Emerging Markets indices, he finds true technology exposure runs well above reported GICS figures, with the S&amp;P 1500's tech weight reaching 40% and MSCI EM's reaching 34% once software- and hardware-driven product lines are captured across sector lines. He also highlights that MSCI EAFE and MSCI EM carry roughly twice the Financials exposure of the U.S. market, with MSCI EM particularly concentrated in banking, and that all three indices carry meaningful exposure to Industrials and commodity-linked businesses, with MSCI EM showing the strongest tilt toward metals and chemicals. On single-stock risk, he notes that the S&amp;P 1500 and MSCI EM both have notable top-10 concentration, driven largely by mega-cap tech names like Apple, Microsoft, and Taiwan Semiconductor, while MSCI EAFE is comparatively diversified. Kenney concludes that investors relying on geographic diversification alone may be underestimating the sector and single-stock risks embedded in their portfolios, and argues that more granular classification data can better inform asset allocation and manager selection.</plainLiteral>
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      <plainLiteral>Kenney uses Syntax's proprietary classification framework to show that standard geographic benchmarks carry more hidden sector concentration than conventional classification systems reveal. Looking at the S&amp;P 1500, MSCI EAFE, and MSCI Emerging Markets indices, he finds true technology exposure runs well above reported GICS figures, with the S&amp;P 1500's tech weight reaching 40% and MSCI EM's reaching 34% once software- and hardware-driven product lines are captured across sector lines. He also highlights that MSCI EAFE and MSCI EM carry roughly twice the Financials exposure of the U.S. market, with MSCI EM particularly concentrated in banking, and that all three indices carry meaningful exposure to Industrials and commodity-linked businesses, with MSCI EM showing the strongest tilt toward metals and chemicals. On single-stock risk, he notes that the S&amp;P 1500 and MSCI EM both have notable top-10 concentration, driven largely by mega-cap tech names like Apple, Microsoft, and Taiwan Semiconductor, while MSCI EAFE is comparatively diversified. Kenney concludes that investors relying on geographic diversification alone may be underestimating the sector and single-stock risks embedded in their portfolios, and argues that more granular classification data can better inform asset allocation and manager selection.</plainLiteral>
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      <plainLiteral>Know What You Own: Underlying Concentration Risks Embedded in Domestic, International, and Emerging Markets Equity Indices</plainLiteral>
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      <plainLiteral>Kenney challenges the assumption that benchmark selection is a neutral, default decision, opening with an example showing that 'sector-neutral' is defined relative to a benchmark like the S&amp;P 500, not by literal equal weighting. He shows how benchmarks quietly evolve over time, noting that the Bloomberg U.S. Aggregate Bond Index's duration has swung meaningfully over the past 20 years and that its Treasury weighting has nearly doubled as government debt issuance has grown, both of which reshape the risk embedded in the index. He also explores how benchmarks like the S&amp;P 500 shape investor psychology, contrasting the disillusionment of the 2000s' flat decade with the FOMO-driven passive investing boom that followed the 2010s recovery. Citing the CFA Institute's SAMURAI framework, Kenney outlines seven criteria a benchmark should meet, including being specified in advance, appropriate to the manager's style, and genuinely investable, and distinguishes this from a simple return objective, which fails several of those tests despite feeling benchmark-like. He concludes that benchmarks can obscure structural risks, from tech concentration in the S&amp;P 500 to rising Treasury dominance in the Aggregate Bond Index, and urges investors to select them deliberately rather than by default.</plainLiteral>
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      <plainLiteral>Kenney challenges the assumption that benchmark selection is a neutral, default decision, opening with an example showing that 'sector-neutral' is defined relative to a benchmark like the S&amp;P 500, not by literal equal weighting. He shows how benchmarks quietly evolve over time, noting that the Bloomberg U.S. Aggregate Bond Index's duration has swung meaningfully over the past 20 years and that its Treasury weighting has nearly doubled as government debt issuance has grown, both of which reshape the risk embedded in the index. He also explores how benchmarks like the S&amp;P 500 shape investor psychology, contrasting the disillusionment of the 2000s' flat decade with the FOMO-driven passive investing boom that followed the 2010s recovery. Citing the CFA Institute's SAMURAI framework, Kenney outlines seven criteria a benchmark should meet, including being specified in advance, appropriate to the manager's style, and genuinely investable, and distinguishes this from a simple return objective, which fails several of those tests despite feeling benchmark-like. He concludes that benchmarks can obscure structural risks, from tech concentration in the S&amp;P 500 to rising Treasury dominance in the Aggregate Bond Index, and urges investors to select them deliberately rather than by default.</plainLiteral>
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      <plainLiteral>Kenney responds to a Wall Street Journal piece by Jason Zweig, which found that the S&amp;P 500 Equal Weight Index's long-term outperformance over its cap-weighted counterpart largely evaporates once real-world trading costs are factored in, citing the Invesco RSP ETF's underperformance versus its own paper index. Kenney argues direct indexing offers a structural fix to that problem. He points out that separately-managed direct portfolios typically cost roughly half the expense ratio of a fund like RSP, and outlines three ways direct indexing can cut the turnover-driven friction Zweig highlighted: using buffer-based rebalancing instead of rigid quarterly schedules, holding a smaller representative set of securities rather than all 500 names, and trading opportunistically instead of on a fixed calendar. He also highlights tax-loss harvesting as a key advantage unavailable to pooled ETF investors, since direct-indexing investors hold individual tax lots that can be harvested for losses even when the overall index is up, citing academic estimates of 30 to 65 basis points in resulting 'tax alpha.' Kenney concludes that direct indexing lets advisors capture the theoretical benefits of strategies like equal-weighting while sidestepping the cost drag that limits pooled fund vehicles.</plainLiteral>
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      <plainLiteral>Kenney responds to a Wall Street Journal piece by Jason Zweig, which found that the S&amp;P 500 Equal Weight Index's long-term outperformance over its cap-weighted counterpart largely evaporates once real-world trading costs are factored in, citing the Invesco RSP ETF's underperformance versus its own paper index. Kenney argues direct indexing offers a structural fix to that problem. He points out that separately-managed direct portfolios typically cost roughly half the expense ratio of a fund like RSP, and outlines three ways direct indexing can cut the turnover-driven friction Zweig highlighted: using buffer-based rebalancing instead of rigid quarterly schedules, holding a smaller representative set of securities rather than all 500 names, and trading opportunistically instead of on a fixed calendar. He also highlights tax-loss harvesting as a key advantage unavailable to pooled ETF investors, since direct-indexing investors hold individual tax lots that can be harvested for losses even when the overall index is up, citing academic estimates of 30 to 65 basis points in resulting 'tax alpha.' Kenney concludes that direct indexing lets advisors capture the theoretical benefits of strategies like equal-weighting while sidestepping the cost drag that limits pooled fund vehicles.</plainLiteral>
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      <plainLiteral>Kenney argues that investors underestimate how much fees really cost them, since the bigger hit isn't the fee itself but the compounded returns lost on that money over time. Using a hypothetical $100,000 invested in the S&amp;P 500, he shows that a 1.25% all-in fee over 30 years costs an investor far more in lost compounding than in fees actually paid, with the combined effect wiping out roughly 30% of the portfolio's potential value. He calculates that trimming the fee by just a quarter point, from 1.25% to 1.00%, would save an investor about 120% of their original investment over three decades. Kenney closes by pointing to Syntax Direct, his firm's direct-indexing platform, as a way advisors can lower these costs for clients without cutting their own margins.</plainLiteral>
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      <plainLiteral>Kenney argues that investors underestimate how much fees really cost them, since the bigger hit isn't the fee itself but the compounded returns lost on that money over time. Using a hypothetical $100,000 invested in the S&amp;P 500, he shows that a 1.25% all-in fee over 30 years costs an investor far more in lost compounding than in fees actually paid, with the combined effect wiping out roughly 30% of the portfolio's potential value. He calculates that trimming the fee by just a quarter point, from 1.25% to 1.00%, would save an investor about 120% of their original investment over three decades. Kenney closes by pointing to Syntax Direct, his firm's direct-indexing platform, as a way advisors can lower these costs for clients without cutting their own margins.</plainLiteral>
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      <plainLiteral>Kenney argues that client service is far more layered than a simple satisfaction rating, shaped by both visible factors (like whether a client's issue gets resolved) and hidden ones (like a firm's internal systems and staff training). He outlines the broader forces that shape service quality generally, including how scalable person-to-person interactions are, how many products a firm offers, and firm-level factors like turnover and staffing. For investment advisors specifically, he points to the added strain of managing client emotions during market downturns and periods of underperformance. Drawing on his own experience as a plan sponsor, consultant, and investment manager, he identifies the personal traits he sees behind strong client service, describing it as an intuitive sense of when to reach out and a steady rhythm in the relationship. He closes with practical suggestions for advisory firms: survey clients directly, recognize that service expectations shift over time, invest in technology and data capabilities, monitor which relationships are at risk, and stay grounded in the client's own perspective.</plainLiteral>
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      <plainLiteral>Kenney argues that client service is far more layered than a simple satisfaction rating, shaped by both visible factors (like whether a client's issue gets resolved) and hidden ones (like a firm's internal systems and staff training). He outlines the broader forces that shape service quality generally, including how scalable person-to-person interactions are, how many products a firm offers, and firm-level factors like turnover and staffing. For investment advisors specifically, he points to the added strain of managing client emotions during market downturns and periods of underperformance. Drawing on his own experience as a plan sponsor, consultant, and investment manager, he identifies the personal traits he sees behind strong client service, describing it as an intuitive sense of when to reach out and a steady rhythm in the relationship. He closes with practical suggestions for advisory firms: survey clients directly, recognize that service expectations shift over time, invest in technology and data capabilities, monitor which relationships are at risk, and stay grounded in the client's own perspective.</plainLiteral>
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      <plainLiteral>The Multi-Faceted Nature of Client Service for Investment Advisors and Managers</plainLiteral>
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      <plainLiteral>Kenney examines SpaceX's anticipated IPO, expected to target a valuation near $1.75 trillion and rank as the largest offering in history, well ahead of Saudi Aramco's 2019 debut. He describes how SpaceX has grown beyond its Starship and Falcon rocket business into a broader conglomerate spanning Starlink, its Starshield defense unit, and a new push into computing infrastructure through xAI. Drawing on the Syntax Private Market Universe, he shows SpaceX alone makes up 24% of that $5.5 trillion universe of tracked private companies, roughly half a trillion dollars ahead of OpenAI. He notes that removing SpaceX from the picture sharply reshapes sector composition, with technology's share rising and industrials' share collapsing. Kenney also flags a looming index-methodology question: standard float-adjusted rules would give SpaceX a public listing weight far below its full valuation, prompting index providers like Nasdaq and FTSE Russell to consider faster inclusion rules for mega-cap listings. He closes by suggesting that SpaceX's IPO, along with expected offerings from OpenAI and other large private companies, will test how public indexes adapt to absorb trillion-dollar entrants.</plainLiteral>
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      <plainLiteral>Kenney argues that SpaceX's IPO filing revealed a fundamental misclassification: despite being widely seen as an aerospace and defense company, its actual revenue profile is that of a telecommunications business. He points to the Form S-1 disclosure showing Starlink generated $11.4 billion in revenue in 2025, 61% of the company's total and far ahead of the $4.1 billion launch segment, while also being by far the most profitable division, posting over $4.4 billion in operating income against losses in the core space and newly integrated xAI/compute segments. Kenney frames this as evidence that SpaceX has effectively become a high-margin, subscription-driven connectivity company, with its historic rocket business now functioning as a supporting piece of that broader network. He also covers SpaceX's pending $60 billion acquisition of Anysphere (Cursor), structured to close after the IPO, which adds roughly $4 billion in annualized software revenue and pushes the company further into direct competition with AI labs like Anthropic, OpenAI, and Google. He concludes that SpaceX is becoming a multi-sector conglomerate that resists simple classification, and positions Syntax's data and analysis as well-suited to track and codify the company's evolving business mix once post-merger financials are available.</plainLiteral>
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      <uri>https://thepaulkenney.com/publications#webpage</uri>
      <uri>http://schema.org/url</uri>
      <uri>https://thepaulkenney.com/publications</uri>
    </triple>
    <triple>
      <uri>https://thepaulkenney.com/publications#webpage</uri>
      <uri>http://www.w3.org/1999/02/22-rdf-syntax-ns#type</uri>
      <uri>http://schema.org/CollectionPage</uri>
    </triple>
  </graph>
  <graph>
    <uri>urn:x-rdflib:default</uri>
  </graph>
</TriX>
