[{"data":1,"prerenderedAt":826},["ShallowReactive",2],{"resource-behavioral-finance":3,"resource-next-behavioral-finance":164},{"id":4,"title":5,"author":6,"body":7,"category":152,"date":153,"description":154,"extension":155,"image":156,"imageAlt":157,"meta":158,"navigation":159,"path":160,"seo":161,"stem":162,"__hash__":163},"resources\u002Fresources\u002Fbehavioral-finance.md","The Importance of Behavioral Finance in Investing","Citizen Mint Team",{"type":8,"value":9,"toc":146},"minimark",[10,15,22,27,30,35,38,41,46,51,54,61,64,67,72,75,78,83,86,89,92,97,100,103,108,111,114,119,124,128,131,135,141],[11,12,14],"h2",{"id":13},"behavioral-finance","Behavioral Finance",[16,17,18],"p",{},[19,20,21],"strong",{},"“Great investors are those who are generally less affected by cognitive bias than the general population, learn about biases and how to cope with them, and put themselves in a work environment that allows them to think well.”",[16,23,24],{},[19,25,26],{},"— Thorsten Hens and Anna Meier of Behavioral Finance Solutions",[16,28,29],{},"BEHAVIORAL FINANCE • INVESTING • DECISION MAKING",[16,31,32],{},[19,33,34],{},"Why is behavioral finance so important?",[16,36,37],{},"A subject that has been broached and become more mainstream over the last decade has been that behavioral finance has a large impact in how investors make decisions. However, for most investors and investment processes, the subject continues to hang on the outskirts and is not readily implemented or observed. This paper hopes to shine a brighter light on something that should be an aspect of every eventual investment decision, not to be all encompassing or to cause inertia, but to reduce behavioral errors that can have major implications on your portfolio and financial goals.",[16,39,40],{},"This blog will first and foremost discuss what behavioral bias look like in investors, while also extrapolating on ways to mitigate this bias in order to provide better investment outcomes. The ultimate goals that I hope this blog will instill in investors is first a recognition of your own bias and those of investors in which we have allocated financial resources too, and; secondly, being cognizant of the mistakes made as a result of these biases and taking judicious steps to avoid them in the future.",[16,42,43],{},[19,44,45],{},"Traditional Finance Theory and the Evolution of Prospect",[16,47,48],{},[19,49,50],{},"Theory",[16,52,53],{},"Traditional finance theory has been based on utility theory, where investors are risk averse and feel diminishing marginal utilities of wealth (i.e. as wealth increases, they are less likely to take risk). Unfortunately, utility theory is based on unrealistic expectations such as:",[16,55,56],{},[57,58],"img",{"alt":59,"src":60},"","\u002Fimages\u002Fresources\u002Fmedia\u002F2023-02-behavior-blog.png",[16,62,63],{},"While these were used to for simplicity reasons, they were not able to be as practically implemented in investment processes. This led academics, mostly psychologists, to review specific and observable investor behaviors that persist over time which came to be known as behavioral finance.",[16,65,66],{},"Academics Daniel Kahneman and Amos Tversky’s were not satisfied with the practicality of utility theory, and instead proposed Prospect Theory, which postulated that the significance of investor losses has the greatest impact on the utility perceived by investors. Basic assumptions of Prospect Theory include:",[16,68,69],{},[57,70],{"alt":59,"src":71},"\u002Fimages\u002Fresources\u002Fmedia\u002F2023-02-behavior-blog-2.png",[16,73,74],{},"The result is that prospect theory assumes investors are risk averse when facing gains (and therefore sell winners too soon) but loss averse and risk seeking when facing losses (and therefore hold losers too long). This is also called disposition affect and it can have massive negative implications on the portfolio returns over time. As an example, it is often that “deep value” managers made a wrong determination about a stock and its future prospects, but continue to hold it in order to not face the realization that something they did was wrong. Most of the time this means changing the underlying thesis to present a rosier picture of a company’s prospects and ability to get out of the rut they are currently in.",[16,76,77],{},"Herbert Simon proposed Bounded Rationality as “the idea that when individuals make decisions, their rationality is limited by the available information, the tractability of the decision problem, the cognitive limitations of their minds, and the time available to make the decision”. Essentially, we are not machines and have limitations on the amount of data we are able to process at any one point in time. We are also shaped by experiences and are not necessarily always rational. This leads to the process of satisficing or accepting the most satisfactory option based on the data we have been able to process and our prior experiences.",[16,79,80],{},[19,81,82],{},"Behavioral Finance Basics",[16,84,85],{},"Behavioral finance is the process of reviewing how cognitive limits and emotional bias affect us as investors. The goal is to make sure that we have a strong understanding of how these will affect us so as to have the highest probability of investment success and not making significant and irreversible financial mistakes.",[16,87,88],{},"Behavioral finance assumes investors exhibit three other major characteristics which are loss aversion, biased expectations and they construct portfolios via asset segregation (bucketing investments into certain areas instead of looking at the portfolio as a whole). We will discuss each below, but in general, individual investors overestimate their ability to forecast the future. This overestimation isn’t just relegated to the world of personal finance, but most people overestimate their abilities in multi-facets of life: 75% of employees believe they are above average, which as you can see is an impossibility. Relatively the same statistic applies to people who believe they are better drivers even when their traffic and accident record say differently.",[16,90,91],{},"The most common behavioral finance mistakes are below and fall into the category of belief perseverance:",[16,93,94],{},[57,95],{"alt":59,"src":96},"\u002Fimages\u002Fresources\u002Fmedia\u002F2023-02-Cognitive.png",[16,98,99],{},"Cognitive errors are patterns of thinking that distort how we approach a subject or decision. Try to diligently review and recognize your own cognitive errors in order that we may not fall victim to them in the long-term pursuit of your financial goals.",[16,101,102],{},"A brief list of the most common cognitive errors that we look to identify are as follows:",[16,104,105],{},[57,106],{"alt":59,"src":107},"\u002Fimages\u002Fresources\u002Fmedia\u002F2023-02-Cognitive-2.png",[16,109,110],{},"Emotional errors are a result of the tendencies and preferences you have built over time. Think of it as your “gut reaction” to a problem. This is embedded in you and as such is actually the hardest to recognize and change.",[16,112,113],{},"A brief list of the most common emotional bias include:",[16,115,116],{},[57,117],{"alt":59,"src":118},"\u002Fimages\u002Fresources\u002Fmedia\u002F2023-02-Emotional-.png",[16,120,121],{},[57,122],{"alt":59,"src":123},"\u002Fimages\u002Fresources\u002Fmedia\u002F2023-02-Emotional-2.png",[11,125,127],{"id":126},"behavioral-decision-making-can-be-the-difference-between-poor-returns-and-great-ones-this-is-why-it-is-key-to-have-a-thoughtful-long-term-plan-for-your-investing-and-stick-to-it-through-good-and-bad-market-environments","Behavioral decision making can be the difference between poor returns and great ones. This is why it is key to have a thoughtful long-term plan for your investing and stick to it through good and bad market environments.",[16,129,130],{},"Learn more about financial education topics by downloading our Guide to Financial Topics",[11,132,134],{"id":133},"want-to-learn-more","Want to learn more?",[16,136,137,138],{},"Sign up to download Citizen Mint’s ",[19,139,140],{},"Guide to Financial Topics",[16,142,143],{},[57,144],{"alt":59,"src":145},"\u002Fimages\u002Fresources\u002Fmedia\u002F2022-09-CM_LinkeIn_twitter_guide-2.png",{"title":59,"searchDepth":147,"depth":147,"links":148},2,[149,150,151],{"id":13,"depth":147,"text":14},{"id":126,"depth":147,"text":127},{"id":133,"depth":147,"text":134},"blog","2023-02-09","Behavioral decision making can be the difference between poor returns and great ones. This is why it is key to have a thoughtful long-term financial plan.","md","\u002Fimages\u002Fresources\u002Fbehavioral-finance.jpg",null,{},true,"\u002Fresources\u002Fbehavioral-finance",{"title":5,"description":154},"resources\u002Fbehavioral-finance","lHDITgMp8qbVJ5LSmwHRkU9xopBE9GcqYA0NqZ2amvc",[165,564,633],{"id":166,"title":167,"author":168,"body":169,"category":152,"date":556,"description":557,"extension":155,"image":558,"imageAlt":157,"meta":559,"navigation":159,"path":560,"seo":561,"stem":562,"__hash__":563},"resources\u002Fresources\u002Fprivate-market-performance-metrics.md","Reading Private Market Performance: A Guide to IRR, TWR, MOIC, and the Metrics That Matter","Josh Giordano",{"type":8,"value":170,"toc":546},[171,174,177,180,184,187,192,198,201,205,211,217,220,224,227,233,239,245,251,256,261,264,268,271,276,281,284,288,295,299,302,307,312,315,321,327,333,348,354,360,364,529,533,541],[16,172,173],{},"METRICS • CONTEXT • JUDGMENT",[16,175,176],{},"When an advisor evaluates a public mutual fund, the scorecard is familiar. Trailing returns, a benchmark, a Sharpe ratio, and an expense figure cover most of the conversation. Private markets do not work that way. A buyout fund and a private credit fund can both report strong performance while measuring it on entirely different scales, and a single fund can look excellent or unremarkable depending on which number you put first.",[16,178,179],{},"For RIAs and family offices building allocations to private equity, private credit, real estate, and infrastructure, fluency in these metrics is part of the diligence itself. The numbers are not interchangeable, because each one answers a specific question and carries its own blind spot. What follows is a practical walk through the metrics that show up most often in fund materials, what they actually capture, and how they line up against the major asset classes.",[11,181,183],{"id":182},"why-timing-changes-everything","Why Timing Changes Everything",[16,185,186],{},"The central complication in private markets is that investors do not put all of their money to work on day one. Capital is committed, then called over several years as the manager finds deals, and distributions come back unevenly as those deals are realized. A public market return assumes a clean start and end, while a private market return has to account for money moving in and out at irregular intervals, which is exactly where the two main return measures part ways. That same timing problem produces a pattern every private markets investor learns to recognize, the J-curve.",[16,188,189],{},[57,190],{"alt":59,"src":191},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-01_jcurve.png",[16,193,194],{},[195,196,197],"em",{},"Early fees and conservative markdowns push reported returns negative before realizations drive them up. A fund judged in year three tells you almost nothing about where it lands.",[16,199,200],{},"In the first few years, a fund draws capital, charges fees, and carries young investments at or below cost, so the reported return sits in negative territory. As the portfolio matures and exits begin, the line turns and climbs, which is why an early-stage IRR is closer to a snapshot taken mid-story than a verdict on the fund.",[11,202,204],{"id":203},"irr-and-twr-two-honest-answers-to-two-different-questions","IRR and TWR: Two Honest Answers to Two Different Questions",[16,206,207,210],{},[19,208,209],{},"Internal rate of return (IRR)"," is the headline figure for most closed-end private funds. It is the annualized rate that accounts for the size and timing of every cash flow, the capital called, the distributions returned, and the value of whatever the fund still holds. Because it weights cash flows by when they happen, IRR rewards getting money back quickly and penalizes capital that sits idle, which cuts both ways. A manager who returns capital early posts a higher IRR and that is useful information, but a manager who delays capital calls by borrowing through a subscription credit line can lift the same number without improving anything underneath, which is why IRR should be read alongside the multiples rather than on its own.",[16,212,213,216],{},[19,214,215],{},"Time-weighted return (TWR)"," answers a different question. It strips out the effect of when cash moved and isolates how the underlying assets performed period by period. TWR is the right tool when the manager does not control the timing of contributions and withdrawals, which is the case for public portfolios, separately managed accounts, and the growing set of open-end and evergreen private vehicles where investors enter and exit on their own schedule. It is the standard most advisors already use for the liquid side of a client’s portfolio.",[16,218,219],{},"IRR is money-weighted, reflecting the investor’s actual dollar-timed experience in a fund where the manager controls the cash. TWR is time-weighted, reflecting the manager’s performance independent of that timing. Comparing one fund’s IRR against another fund’s TWR is comparing two different rulers, and in a side-by-side that gap can quietly flatter the wrong fund.",[11,221,223],{"id":222},"the-multiples-moic-tvpi-dpi-and-rvpi","The Multiples: MOIC, TVPI, DPI, and RVPI",[16,225,226],{},"If IRR captures the speed of return, multiples capture the magnitude. They answer the simplest question a client ever asks: how many times did we get our money back?",[16,228,229,232],{},[19,230,231],{},"MOIC (multiple on invested capital)"," divides total value, both realized and still held, by the capital invested. It is usually quoted gross of fees and ignores time entirely. A 2.0x is a 2.0x whether it took two years or nine, which is why MOIC and IRR have to be read together.",[16,234,235,238],{},[19,236,237],{},"TVPI (total value to paid-in)"," is the net-of-fees cousin most LPs track. It divides everything the fund has returned plus everything it still holds by the capital the investor has actually paid in. TVPI breaks cleanly into two parts.",[16,240,241,244],{},[19,242,243],{},"DPI (distributions to paid-in)"," is the realized portion, the cash that has actually left the fund and landed in the investor’s account, which cannot be marked up or revised later. As a fund ages, DPI becomes the number that matters most, because it is the only one that reflects money in hand rather than an estimate.",[16,246,247,250],{},[19,248,249],{},"RVPI (residual value to paid-in)"," is the unrealized portion, the value still sitting in the portfolio at the manager’s current marks. Early in a fund’s life almost all of the multiple is RVPI, and the quality of a track record is largely a question of how reliably that paper value has converted into cash over time.",[16,252,253],{},[57,254],{"alt":59,"src":255},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-02_tvpi.png",[16,257,258],{},[195,259,260],{},"A young fund’s multiple is almost entirely paper. A credible manager turns that residual value into distributions, which is why mature-fund diligence leans on DPI.",[16,262,263],{},"Two funds can both show a 1.8x TVPI, but the one carrying most of that as DPI has proven it can exit, while the one carrying most of it as RVPI is still asking you to trust the marks.",[11,265,267],{"id":266},"when-irr-and-moic-disagree","When IRR and MOIC Disagree",[16,269,270],{},"Because IRR is time-sensitive and MOIC is not, the same investment can look very different through the two lenses. A quick flip that doubles capital in a year produces a spectacular IRR and a modest multiple, while a patient hold that triples capital over eight years produces a strong multiple and a far more ordinary IRR.",[16,272,273],{},[57,274],{"alt":59,"src":275},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-03_irr_moic.png",[16,277,278],{},[195,279,280],{},"A 2.0x earned in three years outpaces a 3.0x earned in eight on an annualized basis. Neither number is wrong, and neither is complete on its own.",[16,282,283],{},"The two belong together for that reason. A manager who leads with IRR may be highlighting fast, smaller wins, while one who leads with MOIC may be holding longer for larger absolute gains at a lower annualized rate. Both can be sound approaches, and the number a manager reaches for first usually tells you something about how the firm actually invests.",[11,285,287],{"id":286},"measuring-against-the-alternative-pme","Measuring Against the Alternative: PME",[16,289,290,291,294],{},"Allocators lean on one more measure that rarely shows up in fund marketing: the ",[19,292,293],{},"public market equivalent (PME)",". It takes a fund’s actual cash flows and asks what the same money would have earned if it had been invested in a public index instead, over the same timeline. That converts an absolute return into an opportunity-cost comparison and answers the question a committee eventually asks, which is whether the private allocation actually beat what they could have bought in the public market with no lockup. For asset classes that compete directly with public equity, PME is often the most honest scorecard available.",[11,296,298],{"id":297},"which-metric-fits-which-asset-class","Which Metric Fits Which Asset Class",[16,300,301],{},"No single metric is right across the board, because the strategies behind these funds generate returns in different ways. Buyout returns come from buying companies, improving them, and selling them; private credit returns come from contractual income; core real estate and infrastructure blend steady yield with slower appreciation. The metric that captures performance has to match the shape of the return.",[16,303,304],{},[57,305],{"alt":59,"src":306},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-04_matrix.png",[16,308,309],{},[195,310,311],{},"The right lens depends on how a strategy produces its return: income strategies are judged on yield, while equity-style strategies turn on multiples and annualized rates.",[16,313,314],{},"A few patterns stand out:",[16,316,317,320],{},[19,318,319],{},"Buyout and private equity"," are the natural home of the IRR, MOIC, and DPI trio. The strategy is built on entry, value creation, and exit, so the annualized rate, the multiple, and the realized cash all carry weight, with PME as the right check against the public equity these funds compete with.",[16,322,323,326],{},[19,324,325],{},"Venture capital"," leans hardest on multiples and DPI, because returns follow a power law where a small number of investments drive the result, and the holding periods are long enough that early IRRs are noisy to the point of being unreliable. A venture track record is best read through what it has actually returned, not what it is annualizing on paper in year four.",[16,328,329,332],{},[19,330,331],{},"Private credit"," is an income story, so cash yield and a stable IRR do most of the work, and multiples are less informative here because debt has a capped upside by design. For the evergreen credit structures now common in the advisor channel, time-weighted return becomes the cleaner way to evaluate the manager, since investors move in and out continuously.",[16,334,335,338,339,342,344,347],{},[19,336,337],{},"Core, open-end real estate"," is measured primarily on a time-weighted basis, the convention that underpins the major open-end property indices, paired with current income yield. The manager does not control investor cash flows, so TWR is the fair comparison. ",[340,341],"br",{},[340,343],{},[19,345,346],{},"Value-add and opportunistic real estate",", by contrast, behaves more like private equity and is judged on IRR and the equity multiple, with cash-on-cash yield as a supporting figure.",[16,349,350,353],{},[19,351,352],{},"Infrastructure"," sits between the two, since core infrastructure generates long-duration, contracted income, so cash yield carries real weight alongside IRR and the multiple over a longer horizon than most buyout funds.",[16,355,356,359],{},[19,357,358],{},"Evergreen and semi-liquid structures",", the format reshaping how RIAs and family offices access these markets, deserve a closer look. Because investors subscribe and redeem on a rolling basis and the manager does not dictate the timing, the closed-end logic of IRR and DPI fits awkwardly, and time-weighted return becomes the appropriate lens, which is part of why these vehicles report performance in a way that looks more familiar to advisors used to evaluating public funds.",[11,361,363],{"id":362},"a-working-reference","A Working Reference",[365,366,367,399],"table",{},[368,369,370],"thead",{},[371,372,373,379,384,389,394],"tr",{},[374,375,376],"th",{},[19,377,378],{},"Metric",[374,380,381],{},[19,382,383],{},"What it measures",[374,385,386],{},[19,387,388],{},"Time-sensitive",[374,390,391],{},[19,392,393],{},"Net of fees",[374,395,396],{},[19,397,398],{},"Reads best for",[400,401,402,420,437,453,468,483,498,514],"tbody",{},[371,403,404,408,411,414,417],{},[405,406,407],"td",{},"IRR",[405,409,410],{},"Annualized money-weighted return across all cash flows",[405,412,413],{},"Yes",[405,415,416],{},"Gross or net",[405,418,419],{},"Closed-end PE, real estate, infrastructure",[371,421,422,425,428,431,434],{},[405,423,424],{},"TWR",[405,426,427],{},"Return isolated from cash flow timing",[405,429,430],{},"No",[405,432,433],{},"Net",[405,435,436],{},"Open-end, evergreen, marketable strategies",[371,438,439,442,445,447,450],{},[405,440,441],{},"MOIC",[405,443,444],{},"Total value over capital invested",[405,446,430],{},[405,448,449],{},"Usually gross",[405,451,452],{},"Magnitude check on any equity strategy",[371,454,455,458,461,463,465],{},[405,456,457],{},"TVPI",[405,459,460],{},"Total value over capital paid in",[405,462,430],{},[405,464,433],{},[405,466,467],{},"Overall fund-level multiple",[371,469,470,473,476,478,480],{},[405,471,472],{},"DPI",[405,474,475],{},"Cash actually distributed over paid in",[405,477,430],{},[405,479,433],{},[405,481,482],{},"Mature funds, realized track record",[371,484,485,488,491,493,495],{},[405,486,487],{},"RVPI",[405,489,490],{},"Unrealized value over paid in",[405,492,430],{},[405,494,433],{},[405,496,497],{},"Gauging how much return is still on paper",[371,499,500,503,506,509,511],{},[405,501,502],{},"Cash Yield",[405,504,505],{},"Recurring income over invested capital",[405,507,508],{},"Partial",[405,510,433],{},[405,512,513],{},"Private credit, core real estate, infrastructure",[371,515,516,519,522,524,526],{},[405,517,518],{},"PME",[405,520,521],{},"Fund result versus a public index",[405,523,413],{},[405,525,433],{},[405,527,528],{},"Testing private allocations against public markets",[11,530,532],{"id":531},"the-point-of-all-of-it","The Point of All of It",[16,534,535,536,538,540],{},"The reason to learn this vocabulary is not to win an argument about which metric is best, it is to know the right follow-up question. A striking IRR is an invitation to ask for the multiple and the realized DPI behind it. When most of a track record still sits in RVPI, the question is how the manager’s earlier funds actually converted paper marks into cash. And when two managers in the same strategy report on different measures, the job is simply to put them on the same one before judging either.",[340,537],{},[340,539],{},"\nPrivate markets reward investors who can read past the headline number. For advisors building durable allocations for their clients, that fluency is what separates evaluating a manager from being marketed to.",[16,542,543],{},[195,544,545],{},"This material is for educational and informational purposes only and does not constitute investment advice or an offer to sell or a solicitation of an offer to buy any security. Illustrative figures and charts are hypothetical, are provided to explain the metrics discussed, and do not represent the performance of any specific fund or investment. Past performance is not indicative of future results. Private market investments involve substantial risk, including the potential loss of capital and limited liquidity.",{"title":59,"searchDepth":147,"depth":147,"links":547},[548,549,550,551,552,553,554,555],{"id":182,"depth":147,"text":183},{"id":203,"depth":147,"text":204},{"id":222,"depth":147,"text":223},{"id":266,"depth":147,"text":267},{"id":286,"depth":147,"text":287},{"id":297,"depth":147,"text":298},{"id":362,"depth":147,"text":363},{"id":531,"depth":147,"text":532},"2026-06-29","A guide to private market performance metrics for advisors: what IRR, TWR, MOIC, TVPI, and DPI measure, and which metric fits which asset class.","\u002Fimages\u002Fresources\u002Fprivate-market-performance-metrics.png",{},"\u002Fresources\u002Fprivate-market-performance-metrics",{"title":167,"description":557},"resources\u002Fprivate-market-performance-metrics","zmsaESjLwvkmdyysdJcj5l7qid6K82AfuWr4reSa5W8",{"id":565,"title":566,"author":168,"body":567,"category":152,"date":625,"description":626,"extension":155,"image":627,"imageAlt":157,"meta":628,"navigation":159,"path":629,"seo":630,"stem":631,"__hash__":632},"resources\u002Fresources\u002Fcitizen-mint-kitces-advisortech-map.md","Citizen Mint Joins the Kitces AdvisorTech Map",{"type":8,"value":568,"toc":620},[569,574,577,580,585,589,592,596,599,603,606,609],[16,570,571],{},[19,572,573],{},"RECOGNITION • ADVISORTECH • ADVISORS",[16,575,576],{},"If you have spent any time in wealth management, you know the Kitces AdvisorTech Map. Published monthly by Michael Kitces and the Kitces.com team, it has become the industry’s definitive reference for the technology advisors use to run their practices and serve their clients. It is also, famously, a lot of logos on one page.",[16,578,579],{},"This month, one of those logos is ours. We are proud to share that Citizen Mint has been added to the Kitces AdvisorTech Map in the Alternatives Marketplace category, and we want to take a moment to explain why this matters to us and, more importantly, why it should matter to the advisors we serve.",[16,581,582],{},[57,583],{"alt":59,"src":584},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-1780944720025.jpeg",[11,586,588],{"id":587},"why-the-map-matters","Why the Map Matters",[16,590,591],{},"The AdvisorTech Map exists because advisors face an overwhelming number of technology decisions, and the Kitces team has spent years bringing rigor and curation to that landscape. Inclusion is not a participation trophy. It reflects a vetting process designed to surface solutions that genuinely address the needs of RIAs and independent advisors. For a company built specifically for advisors, there are few better signals that you are solving a real problem for the people you set out to serve.",[11,593,595],{"id":594},"what-it-says-about-private-markets","What It Says About Private Markets",[16,597,598],{},"We think our inclusion reflects something bigger than Citizen Mint. Private markets have moved from the edges of the advisor conversation to the center of it, and advisors increasingly expect the same quality of technology for alternatives that they have long had for public markets. Access alone was never the hard part. The hard part has been giving advisors the infrastructure to evaluate, allocate, and manage private market exposure with the same confidence and efficiency they bring to the rest of the portfolio. That is the problem we built Citizen Mint to solve, and being recognized alongside the tools advisors rely on every day tells us the industry sees it the same way.",[11,600,602],{"id":601},"thank-you","Thank You",[16,604,605],{},"Our thanks to Michael Kitces and the entire Kitces.com team for the work they put into mapping this ecosystem month after month. The wealth management industry is better for it.",[16,607,608],{},"To the advisors who have partnered with us along the way: this recognition belongs to you as much as it does to us. Your feedback shapes what we build, and we are just getting started.",[16,610,611,612,619],{},"You can view the latest version of the AdvisorTech Map at ",[613,614,618],"a",{"href":615,"rel":616},"https:\u002F\u002Fwww.kitces.com\u002F",[617],"nofollow","Kitces.com",".",{"title":59,"searchDepth":147,"depth":147,"links":621},[622,623,624],{"id":587,"depth":147,"text":588},{"id":594,"depth":147,"text":595},{"id":601,"depth":147,"text":602},"2026-06-10","Citizen Mint joins the Kitces AdvisorTech Map, reflecting the growing role of private markets technology in how RIAs and wealth advisors serve clients.","\u002Fimages\u002Fresources\u002Fcitizen-mint-kitces-advisortech-map.png",{},"\u002Fresources\u002Fcitizen-mint-kitces-advisortech-map",{"title":566,"description":626},"resources\u002Fcitizen-mint-kitces-advisortech-map","UuT3OUbGZuDgaDKyIahzcEfdv-hp-Q4CqPX1TNs3GxU",{"id":634,"title":635,"author":168,"body":636,"category":152,"date":818,"description":819,"extension":155,"image":820,"imageAlt":157,"meta":821,"navigation":159,"path":822,"seo":823,"stem":824,"__hash__":825},"resources\u002Fresources\u002Fpowering-ai-through-private-markets.md","Powering the AI Revolution: Private Market Paths Beyond the Public Equity Trade",{"type":8,"value":637,"toc":811},[638,641,644,647,650,657,661,664,667,670,673,681,686,690,693,696,699,707,712,716,719,722,728,734,740,746,752,758,763,767,785,790,794,797,800,808],[16,639,640],{},"POWER • INFRASTRUCTURE • ACCESS",[16,642,643],{},"Artificial intelligence has become one of the defining investment themes of the past several years. The public market gains have been real, but they have also been concentrated. J.P. Morgan Asset Management noted that the “AI-spawned Magnificent 7” drove 63% of S&P 500 returns in 2023, 55% in 2024, and 43% in 2025, numbers that underscore how much AI exposure many clients already carry through traditional market-cap-weighted portfolios.",[16,645,646],{},"For advisors, that raises a practical question: what does it mean to add more AI exposure on top of what clients likely already own?",[16,648,649],{},"The more useful framing may not be whether AI matters as a theme. Most thoughtful investors have settled that question. The harder conversation is about the broader investment ecosystem behind the AI buildout, one that extends well beyond chips, models, and the handful of technology companies dominating public indexes. Power infrastructure, data center real estate, energy storage, grid interconnection, private credit, and private companies that have not yet come to market all represent a different kind of participation in the same economy.",[16,651,652,656],{},[613,653,655],{"href":654},"\u002Fresources\u002Fhow-much-should-clients-allocate-to-private-markets","That is where"," private markets may offer something that public equities generally do not: differentiated exposure, with return profiles tied to income, collateral, real assets, or selective equity upside rather than continued multiple expansion in a concentrated group of mega-cap names.",[11,658,660],{"id":659},"ai-has-become-a-physical-infrastructure-story","AI Has Become a Physical Infrastructure Story",[16,662,663],{},"The most important constraint limiting AI deployment may not be compute but electricity.",[16,665,666],{},"The International Energy Agency projects that global data center electricity consumption will roughly double from 485 terawatt-hours in 2025 to approximately 950 TWh by 2030, representing close to 3% of total global electricity demand by that date. Within that, AI-focused data centers are growing considerably faster. The IEA estimates that electricity demand from AI-specific facilities will triple over the same period, as energy-intensive inference and training workloads scale. Data center electricity demand rose 17% in 2025 alone, more than five times the 3% growth in overall global electricity demand that year.",[16,668,669],{},"In the United States, the scale of the shift is even more pronounced. According to the IEA’s analysis, U.S. data centers are on track to consume more electricity for processing data in 2030 than all energy-intensive manufacturing combined, including aluminum, steel, cement, and chemicals. Data centers are projected to drive nearly half of all U.S. electricity demand growth between now and 2030.",[16,671,672],{},"McKinsey estimates that more than $500 billion of data center infrastructure investment may be required through the end of the decade, excluding upstream transmission and distribution needs. Lead times for new power access in high-demand markets such as Northern Virginia can exceed three years, while some electrical equipment orders have stretched to two years or more.",[16,674,675,676,680],{},"This creates a tangible investment dynamic. When electricity access becomes a binding constraint on AI deployment, the ",[613,677,679],{"href":678},"\u002Fresources\u002Fthe-case-for-renewable-infrastructure","infrastructure"," that delivers it (power generation, transmission, storage, and interconnection) shifts from commodity infrastructure to something closer to strategic input.",[16,682,683],{},[57,684],{"alt":59,"src":685},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-Screenshot-2026-06-05-112626-1.png",[11,687,689],{"id":688},"the-bottleneck-behind-the-bottleneck-interconnection","The Bottleneck Behind the Bottleneck: Interconnection",[16,691,692],{},"Even when a developer has the capital, land, and signed demand to build a data center or power project, they still need to connect to the grid. That process has become a significant obstacle.",[16,694,695],{},"Lawrence Berkeley National Laboratory’s most recent data show that more than 2,060 gigawatts of total generation and storage capacity were actively seeking grid connection as of the end of 2025, representing roughly twice the installed generating capacity of the current U.S. power plant fleet. The typical project reaching commercial operation in 2024 spent an average of 55 months in the queue, up from less than two years for projects that reached operation in the early 2000s. And historically, only about 13% of the capacity that entered interconnection queues between 2000 and 2019 ever reached commercial operation.",[16,697,698],{},"For investors, those numbers are worth sitting with. They do not mean that the buildout stalls. They mean that projects with established interconnection positions, executed agreements, and experienced development teams occupy a materially different risk position than projects still waiting for clarity.",[16,700,701,702,706],{},"Private capital has historically found meaningful roles in exactly these kinds of financing gaps: ",[613,703,705],{"href":704},"\u002Fresources\u002Fguide-to-interconnection-capital","interconnection deposits",", equipment procurement, pre-construction bridge financing, and capital for grid upgrades tied to confirmed commercial demand. The bottleneck is real, but it also creates opportunity for structured, collateral-backed lending that is not correlated to technology sector multiples.",[16,708,709],{},[57,710],{"alt":59,"src":711},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-Screenshot-2026-06-05-114556.png",[11,713,715],{"id":714},"where-private-markets-can-fit-in-the-ai-economy","Where Private Markets Can Fit in the AI Economy",[16,717,718],{},"Public AI exposure is typically expressed through the same cluster of mega-cap technology companies. Private market exposure can be structured quite differently, closer to the implementation layer, and with returns that may be driven by contractual cash flow, asset-backed income, or selective equity upside rather than market sentiment.",[16,720,721],{},"The key distinction is capital structure. Downside protection in private market investing does not come from the AI theme itself. It comes from where an investor sits in the capital stack, what collateral exists, how contracts are structured, and whether underwriting is grounded in asset-backed income, project economics, or venture-style equity appreciation. Each approach carries meaningfully different risk and return characteristics.",[16,723,724,727],{},[19,725,726],{},"Power infrastructure lending:"," Energy projects tied to data center demand often require financing at various stages of development, including interconnection deposits, equipment procurement, construction costs, and refinancing of completed assets. Secured lending in this space may offer income with collateral or contractual protections, though key risks include project delays, permitting challenges, and counterparty quality.",[16,729,730,733],{},[19,731,732],{},"Renewable power and battery storage:"," The U.S. Energy Information Administration expects a record 86 gigawatts of utility-scale generating capacity to be added to the grid in 2026, with solar accounting for 51% of planned additions and battery storage for 28%. Developers plan to add 24 gigawatts of utility-scale battery storage in 2026, more than 60% above the 15 gigawatts added in 2025. Real asset exposure to this buildout may offer cash flow durability, though merchant power risk, equipment costs, and interconnection delays are important underwriting considerations.",[16,735,736,739],{},[19,737,738],{},"Data center infrastructure:"," CBRE’s North America Data Center Trends H2 2025 report found that primary market vacancy fell to a record low 1.4% at year-end 2025, even as primary market supply increased 36% year over year to meet accelerated hyperscale demand. Primary markets posted record net absorption of approximately 2,498 megawatts in 2025. Exposure here can include real estate, power distribution, cooling infrastructure, and site development, areas that connect to AI demand through physical capacity rather than software economics. Concentration risk among hyperscale tenants and ongoing power access challenges are among the factors to underwrite carefully.",[16,741,742,745],{},[19,743,744],{},"Interconnection and grid access:"," For projects that have secured or are pursuing their place in the grid queue, shorter-duration infrastructure-linked financing may offer an alternative profile tied to specific project milestones, with refundability provisions and documentation quality as key variables.",[16,747,748,751],{},[19,749,750],{},"Venture and growth equity:"," Many of the companies building the AI stack are still private, including firms focused on enterprise workflow automation, cybersecurity, vertical AI applications, data infrastructure, developer tools, energy technology, and compute optimization. Access to these companies may offer upside that is not available in public markets. Liquidity constraints, valuation risk, and the competitive dynamics of a well-funded sector are important considerations in any evaluation.",[16,753,754,757],{},[19,755,756],{},"Venture debt and specialty lending:"," Financing AI and technology companies through structured debt rather than pure equity may offer income combined with warrants or other upside participation. Revenue quality, cash burn trajectory, and refinancing risk warrant careful attention in this segment.",[16,759,760],{},[57,761],{"alt":59,"src":762},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-Screenshot-2026-06-05-120310.png",[11,764,766],{"id":765},"on-venture-exposure-the-case-for-selectivity","On Venture Exposure: The Case for Selectivity",[16,768,769,770,772,774,775,777,779,780,782,784],{},"There is a compelling case for including some private venture or growth exposure in the broader AI theme. But the sector’s size and momentum do not automatically make individual investments attractive.",[340,771],{},[340,773],{},"\nAccording to the NVCA 2026 Yearbook, using PitchBook data, U.S. venture firms closed 15,352 deals worth $320 billion in 2025, a 51% increase in deal value from 2024 and the second-highest annual total on record. AI accounted for 65.4% of all deal value, up from roughly 50.9% in 2024. The top five AI companies collectively raised nearly $60 billion, and nontraditional investors (hedge funds, sovereign wealth funds, corporates, and endowments) participated in about 30% of deals while accounting for 83% of total investment value.",[340,776],{},[340,778],{},"\nThat concentration raises reasonable questions. Capital has flowed heavily toward a small number of large platforms, while the broader ecosystem of earlier-stage companies competes for a smaller share of the attention. Advisors evaluating private AI exposure should separate genuine innovation from momentum-driven capital formation. The underwriting question is whether a given company has durable customer relationships, a credible path to unit economics, defensible data or distribution advantages, and a valuation that leaves room for future return independent of sector sentiment.",[340,781],{},[340,783],{},"\nThe NVCA data also highlight a structural gap worth noting: 859 unicorn companies are currently valued at $4.34 trillion in aggregate, but only 30 to 40 actually achieved exits in 2025. Liquidity remains constrained, which matters for advisors managing clients against any timeline.",[16,786,787],{},[57,788],{"alt":59,"src":789},"\u002Fimages\u002Fresources\u002Fmedia\u002F2026-06-Screenshot-2026-06-05-121516.png",[11,791,793],{"id":792},"the-advisor-takeaway","The Advisor Takeaway",[16,795,796],{},"For many clients, AI exposure already exists, carried silently through market-cap-weighted equity allocations that have tilted heavily toward the same group of large technology companies. The planning question is whether that exposure is appropriately sized, whether it is too dependent on continued valuation expansion in public markets, and whether it leaves meaningful opportunity unaddressed.",[16,798,799],{},"Private markets offer a different way to participate in the same economic shift. The layers include secured lending tied to energy infrastructure, real assets serving data center demand, battery storage that supports grid reliability, interconnection-related financing, and selective exposure to private companies building the next wave of AI applications. Each layer carries a different combination of return potential, income, collateral, duration, liquidity, and risk.",[16,801,802,803,807],{},"None of this replaces careful due diligence or advisor judgment about suitability. Private market investments are complex, illiquid by nature, and appropriate only for investors who meet relevant eligibility requirements and can tolerate the associated risks. But for advisors thinking about the AI economy as a multi-layered investment theme rather than a single trade, the ",[613,804,806],{"href":805},"\u002Finvest","opportunity set"," is considerably broader than most public market portfolios reflect.",[16,809,810],{},"At Citizen Mint, this is the conversation we are built to support, helping advisors identify the infrastructure, financing, and private company opportunities that may represent the next phase of the AI buildout, with the rigor that institutional allocations deserve.",{"title":59,"searchDepth":147,"depth":147,"links":812},[813,814,815,816,817],{"id":659,"depth":147,"text":660},{"id":688,"depth":147,"text":689},{"id":714,"depth":147,"text":715},{"id":765,"depth":147,"text":766},{"id":792,"depth":147,"text":793},"2026-06-05","Explore how advisors can access the AI revolution beyond public equities through private market infrastructure, power, storage, interconnection, and venture exposure.","\u002Fimages\u002Fresources\u002Fpowering-ai-through-private-markets.png",{},"\u002Fresources\u002Fpowering-ai-through-private-markets",{"title":635,"description":819},"resources\u002Fpowering-ai-through-private-markets","ZCenF4On7Aa9po8E2rZFduXiwLt94mUf8vAt3xMxlYU",1790730096057]