Eighty-seven percent of U.S. companies with $100 million or more in revenue are private, says Franklin Templeton's chief executive — which means an investor with zero private-market exposure is shut out of almost nine in ten of the country's biggest businesses.
Everyone argues passive against active. Jenny Johnson says the real risk hiding inside a passive index is concentration, and the real opportunity the industry still treats as a crypto sideshow is tokenization.
"You're not going to lose your job to AI. You're going to lose it to a person who's good at using AI."
Johnson has run the $1.7 trillion asset manager her grandfather and father built for six years, completed 17 acquisitions since taking over, and started as an intern in a company her family has controlled for three generations.
The full interview is covered here so you can skip it. 56 minutes of audio, 8 minutes of reading.
Here are the 7 insights that matter.
👤 Guest: Jenny Johnson, Chairman and CEO of Franklin Templeton, a $1.7 trillion asset manager
🎙️ Host: Matt Zeigler, who hosts the Excess Returns podcast
📰 Published: 16 September 2026 on the Excess Returns YouTube channel
🔴 YouTube | ⏱️ 56 min | ✅ Time saved: 45 min
Key Takeaways
87% of US companies with $100 million or more in revenue are private, which Johnson says shuts out any investor with zero private-market exposure
Franklin's tokenized money market fund needs just $20 to open, versus $500 for the traditional version, and accrues interest by the second
She warns that index concentration, not index investing, is the real risk — the S&P 500 got more volatile the day Tesla joined it
Franklin runs over 1,000 AI agents across its investment teams, and her son's AI prompts beat some of the firm's most experienced analysts
Franklin has done 17 acquisitions since Johnson became CEO six years ago, including the 2018 move into private credit
Her own money rule: $5,000 a year from age 20 to 29 beats $5,000 a year from 30 to 59, dollar for dollar, by age 60
She still worries about $40 trillion in government debt — "not a problem right now," but a problem eventually
1. Every Job Pays Off Later
Asked what she tells an intern, since she was one herself before becoming CEO, Johnson said the value of a job is rarely obvious while you're in it.
Running Franklin's old credit-card unit in the 1990s taught her that data predicts behavior, years before anyone called it "alternative data." she "literally sat down with our Bloomberg rep" and asked for "what data you have on spending and credit card data," tracking rising balances, who pays off their card each month, and early delinquency signs — a read on a consumer economy she calls "70% consumer-driven."
She also ran the firm's old auto-finance division, which Franklin no longer owns — knowledge she says is suddenly relevant again now that asset-backed lending is a large part of the private-credit market.
Her advice to any intern is ownership, not patience. "You're responsible for your own career," she said, and pointed to a specific habit: she always says, "Read the CEO's letter in the annual report and you'll know what's on the CEO's mind."
2. AI Costs Jobs, Not Careers
Asked whether AI will make workers so productive that jobs stop mattering, Johnson reached for two 19th-century analogies before answering.
She compared today's AI anxiety to the Luddite riots against automated looms, and to the lamplighters put out of work by electric light. Automated looms dramatically changed clothing, eventually making it cheaper and creating a fashion industry; electric light let factories "stay open longer" and created new jobs nobody had predicted — but only after visible disruption first.
Her line on the actual risk to a given worker was blunt. "You're not going to lose your job to AI. You're going to lose it to a person who's good at using AI," she said, crediting the framing to Ruth Porat.
Her son, four months into his first job as a research analyst, was assigned to write the investment team's AI prompts — and, in his own account to her, simply kept feeding drafts back into ChatGPT to improve them. The colleague who reviewed his work told Johnson the prompts were "better than some of our most experienced analysts."
Franklin now runs more than 1,000 AI agents across its investment teams, and Johnson said she isn't sure all of them are effective yet: "I think more and more of them are going to actually be the orchestration of multiple agents as opposed to individual ones."
She still wants a human in the loop on every investment decision. Recalling 1980s program trading at Drexel Burnham, where pre-programmed rules kept selling into a crash nobody had modeled, she said an AI tool needs the same override: "I realize something shifted in here... there's not a historical pattern that tells me this."
3. Investing Gets Personal
Johnson described a shift already underway from one-size portfolios to individually built ones, aimed at named goals rather than a generic risk profile.
The old model was one adviser-built pool per client; the new one is a portfolio per goal. Investors will get pools built "based on individual goals" — retirement, a child's college fund, "that really fancy car" — each with its own "duration," "risk tolerance," and liquidity need.
Franklin's own tool for this predates the current AI wave. Its "goals optimization engine," she said, is how the firm first got into AI, built to translate a conversation like "I want to retire with dignity... help my kids pay for college and if I really really do well, I want to own that second home on the beach," directly into portfolio construction.
She frames illiquidity as a return the client should be paid for, not a risk to avoid outright. "If I know I could withstand [illiquidity], the excess returns you get for the liquidity become really important in your portfolio."
4. Tokenization Is Not Crypto
She pushed back hard on conflating the two, calling blockchain "just a software programming language" that does three specific jobs well: a shared source of truth, a smart contract, and a payment mechanism — each removing a manual, fee-taking middleman.
Franklin's tokenized money market fund is the industry's only natively on-chain version, not a digital twin copied onto a blockchain after the fact. "If you invest in a money market fund today, it accrues your interest every day and it pays you the cash in your account at the end of the month," she said. "We accrue the interest every second and we pay it in your account at the end of every day."
The access difference is the headline number. "Our traditional money market fund, you need $500 to open an account... With our tokenized money market fund, you can open account with $20."
She named the real obstacle to adoption as threatened business models, not technology skepticism. "If I don't need that bank to sit between me and the counterparty on a foreign exchange contract, well, if I'm a bank, I don't want this thing moving very quickly."
The scale case is a billion crypto wallets with no traditional brokerage account. "There are a billion wallets" tied to just the top five crypto exchanges, she said — a population Franklin can reach only by wrapping traditional products, like a tokenized ETF, in a form a crypto wallet can hold.
She was candid that on-chain ETFs are still a workaround, not the finished product. "Today it's clumsy. I want to be just honest. It's clumsy" — the exchange buys a block of the ETF and tokenizes the record-keeping on top, rather than the fund being issued natively on-chain.
5. Private Markets for Everyone
Johnson argued private-market access matters most in a company's early growth years — which is exactly the period a public-markets-only investor misses entirely.
87% of US companies with $100 million or more in revenue are private, she said, which by itself excludes a zero-private-market portfolio from most of the investable economy.
The heaviest growth, and the biggest multiple expansion, happens before a company ever goes public. She pointed to SpaceX's roughly $1.7 trillion valuation: "If you could have invested earlier, boy, you... missed a huge amount of that" — noting SpaceX also traded below its IPO price for a stretch afterward.
Private credit alone should carry a real premium over public fixed income. She points to "100 to 150 basis points on investment grade private credit premium," rising further as credit risk increases — a spread she says compounds to "20% more" over a 20-year retirement portfolio at just 1 extra point of annual return.
She wants private-market access delivered through an adviser, not direct to a retail investor alone. "It is hand-to-hand combat at the client level to really understand what their liquidity risks are," she said, comparing an untrained buyer of illiquid assets to "running with scissors."
Franklin's own access vehicles range from barely-felt to fully illiquid. A mutual fund can legally hold up to 15% in private assets (Franklin runs closer to 8%, she said, to stay clear of the cap); interval funds allow roughly 5% redemption a quarter; and high-net-worth accounts run "anywhere from five to probably 30%" in fully private, drawdown-style vehicles.
6. The Risk No Index Prices
Asked about this year's run of AI-linked mega-IPOs (SpaceX already out, OpenAI and Anthropic in the queue), Johnson said the market has plenty of cash to absorb them, but is missing a different risk entirely.
Float, not headline valuation, is what the market actually has to absorb, and there is ample liquidity for it: "There's 11 trillion globally sitting in money market funds. I think 7 trillion in the US."
Her real concern is what she calls market beta risk — a passive index quietly getting more dangerous. "The day Tesla get added to the S&P 500, the S&P 500 became more volatile," she said, and "You have the Mag 7 and you get a massive concentration and nobody talks about that risk."
She flagged an accounting mismatch behind AI-driven capital spending. A company building data centers today books the capital expenditure before the revenue: "That's a capital expenditure that I have not run through my income statement yet because I don't do it until they go online... that suddenly may impact my income."
Her prescription is diversification, regardless of style. "Whether you're active or index based, you have to pay attention to that and understand when an index changes in its characteristics such [that] it can be more or less risky than historical norms."
7. Bloodline on a Long Clock
Johnson is Franklin's fourth-generation family leader, and she used that history to explain a decision, the tokenization bet, that a purely public-company incentive structure would likely not have made.
The company started as a $2.5 million, $10,000-revenue subsidiary her father bought at 24. Her grandfather founded the original brokerage; her uncle ran it; "my dad wanted to do his own thing," taking a pay cut to $300 a month to build what became Franklin.
Her brother ran Franklin for 15 years and made the private-credit bet; she has run it for six, with 17 acquisitions since. He bought the firm's first private-credit manager in 2018; she says the family's continued stock ownership buys the company patience a purely public incentive structure would not: "I don't know when it becomes material to our earnings" — she guesses "it probably won't be material before 2028."
She measures a CEO's job as balance across three groups, not one. "You have three core constituents... shareholders, clients, and employees. And if you shortcut any one, just like the stool's going to fall over, it's going to hurt your company."
She's proud of not being handed the job. She says she's "kind of earned it," noting the board put her "through a heck of a lot of external review" before naming her CEO.
Her overall case is that the industry's two live debates, passive versus active and whether tokenization is real, are both being fought on the wrong axis: the risk that matters is concentration hiding inside a passive index, and the technology that matters is not crypto but the plumbing crypto exposed, which Franklin is willing to fund a decade ahead of the earnings it produces.
Bonus Insights
Her starkest investing rule is about timing, not stock-picking. Put $5,000 a year away from age 20 to 29, stop, and let it compound at 7% to age 60, and it beats putting away $5,000 a year every year from age 30 to 59 — dollar for dollar, at the same rate, to the same age. "Getting in the market, staying in the market, allowing yourself to compound is the most important investment decision you can make."
She uses AI tools herself, including for a family problem. One of her sons is a rum distiller who "doesn't want to sit there and have the conversation on and on" about the craft, so she made him an AI-assisted documentary on the history of rum and piracy instead. Separately, she fed a heavily technical evaluation into Claude for a plain-English read: "It came back and it said here are the risks... I can now ask educated questions that it was going to be hard for me to ask."
She isn't worried about a recession, but she is worried about debt. "I do worry about government debt... at $40 trillion, this is this is going to be a problem at some point... it's not a problem right now."
The host opened by noting she isn't a "nepo CEO" — she pushed back gently that the board vetted her heavily before the appointment, distinct from simply inheriting the seat.
Products, Companies & Tools Mentioned
Franklin Templeton (The $1.7 trillion asset manager Johnson has led for six years, and the subject of the whole conversation)
ChatGPT (What her son used to iteratively refine the AI prompts that impressed Franklin's investment team)
Claude (The tool she used herself to get a plain-English read on a heavily technical document she couldn't otherwise evaluate)
SpaceX (Her example of the growth an investor misses without private-market access — a roughly $1.7 trillion valuation that also traded below its IPO price for a stretch)
Tesla (Her example of index concentration risk: the S&P 500 got more volatile the day it was added)
Books & Resources Mentioned
Franklin.com (Where she directed listeners for more information on the firm)
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