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Jennifer Johnson
Chief Executive Officer & Director, Franklin Resources Inc

Franklin Templeton CEO Jenny Johnson's Optimistic Take on AI and the Future of Work

📅 Jun 30, 2026 The Economic Club of New York 9 MIN 64 VIEWS 8 SEGMENTS · 2 SPEAKERS
At a Signature Luncheon in Palm Beach, Florida, Franklin Templeton CEO Jenny Johnson joined Lee Ainslie, Managing Partner of Maverick Capital and ECNY Trustee, to discuss AI, innovation, and the future of work. Johnson explains why she remains optimistic about technology's long-term impact on businesses, workers, and economic growth. ๐Ÿ“841st Meeting of The Economic Club of New York __ #EconomicClubNY #JennyJohnson #FranklinTempleton #ArtificialIntelligence #FutureOfWork #Innovation #Leadership

What Jennifer Johnson said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Jennifer Johnson, CEO of Franklin Resources, argued that companies should not avoid hiring young people out of fear that AI makes them redundant. She cited her son, a six-month research analyst, who built better AI prompts than experienced team members by iterating with ChatGPT, and her nephew, a self-described worst programmer who generates the most code by using AI. Johnson announced Franklin is hiring a two-year rotational class of recent college graduates, without job guarantees, to infuse AI comfort into the firm. On AI's macro impact, she dismissed unemployment fears, citing historical examples like the 1910 horse-and-buggy photo and the 1997 'Death of the Broker' prediction. She expressed optimism, noting AI tools like Anthropic's are not yet embedded in revenue-generating applications but will be. Regarding Anthropic's vulnerability-finding model, she acknowledged cybersecurity risks from bad actors but saw potential for continuous ethical hacking. She expects upcoming IPOs like Anthropic, OpenAI, and SpaceX to be oversubscribed, citing $7 trillion in money market funds.

Key takeaways

  1. Johnson's son, a six-month analyst, created better AI prompts than experienced team members by iterating with ChatGPT.
  2. Johnson expects Anthropic, OpenAI, and SpaceX IPOs to be oversubscribed, citing $7 trillion in money market funds.
  3. Johnson is optimistic about AI's job impact, citing historical resilience like the 1997 'Death of the Broker' prediction.

Numbers and commitments

FigureWhat it refers toTypeAt
$7 trillion money market funds available for IPO capital metric 8:48

Chapters

  1. 0:00AI and the value of young hires
  2. 2:32Macro implications of AI on employment
  3. 2:41Anthropic and OpenAI valuations
  4. 5:31Anthropic's vulnerability-finding model
  5. 8:23Upcoming IPOs and capital availability

Questions asked in this interview

4
  1. 0:00How do you guys think about that trade-off?
  2. 2:32How do you think about the larger macro implications of AI on our society and on the investing landscape, etc.?
  3. 5:31Do you think this is just some headlines that aren't that concerning, or is this really a game changer?
  4. 8:23How have you thought through the technical aspects of how that capital impacts the capital used to support those IPOs, where it's coming from, etc., and how that flows through?
Interviewer 0:00 ↗
My firm, we have a lot of debate about how hard it is to work with a 22-year-old because AI can give you better answers more quickly, more accurately. And there's a push from some that we can skip the 22-year-olds. And of course, the problem is that you wake up in 10 years and you have no 32-year-olds who have 10 years of experience and learning through trial and tribulation and mistakes, etc. How do you guys think about that trade-off?
Jennifer Johnson 0:27 ↗
So I actually think it's kind of the opposite of that. I think the scary thing is not to bring in that younger generation. I had two things with my son and nephew that kind of light bulb went off for me. So my son is a research analyst in one of Franklin's investment teams and, you know, he's six months into his job and he says, 'Mom, I've been assigned to help build the AI prompts.' And I said, 'Well, you should go talk to Jonathan Curtis. He's kind of the guru in our equity team. He's doing all the AI work there. He's amazing. You get some feel from him and he can give you some ideas.' And Jonathan came back and he said, 'Wow, I was really impressed with your son and the AI prompts. They were better than a lot of the ones that our own team came up with.' So I went back to my son, I said, 'Okay, you're six months into the job. How did you have those AI prompts?' He goes, 'I just kept feeding it into ChatGPT and asking it to improve it, right?' But you could have never imagined that if you're an expert, you can't possibly imagine that it's going to actually be that insightful. And so you'll resist it. And my nephew said, he works at an AI company. He goes, he says, 'Auntie Jenny, I'm the worst programmer there. I'm the worst engineer there, but I generate the most code because I'm the one who uses AI the most to help me write the code.' Now, he's still guiding it, but he's writing it. So, to me, the mistake companies will make is if they think from a cost-cutting standpoint, don't hire these younger people who don't think twice about these tools and will probably look at something you're doing and say, 'Why would you ever do that? You should do it this way.' And so what we're doing is we're hiring a class of people. We won't guarantee you a job at the end of two years, but we're going to keep you for two years right out of college, rotating you around the firm. And the key is we're trying to figure out what is the skill set. You know, it's not necessarily that we just hire a finance and economics person. It might be that they're more creative, more liberal arts. I'm not sure. We're going through this process right now: what are the characteristics of those individuals? To make sure they're curious enough, we bring them into the firm so they can infuse that kind of skill of being comfortable leveraging these tools.
Interviewer 2:32 ↗
How do you think about the larger macro implications of AI on our society and on the investing landscape, etc.?
Jennifer Johnson 2:41 ↗
Yeah, I mean, every time there is a great technological advance, there is this prediction that we're all going to be unemployed, because it's hard to see around corners to know what the opportunities are. And the only concern here is that it's moving so fast. But I use the example of the famous picture on Wall Street where there was, I think it was 1910, all horse and buggies and one car. And then 10 years later, the same picture is one horse and buggy and all cars. And I'm pretty sure the people taking care of the horses didn't become mechanics, right? So it's hard; there is this adjustment period that happens. But if you look in 1997, the cover of Business Week said 'The Death of the Broker' โ€” the internet was going to destroy the financial adviser. They are stronger today than ever, doing way more things for their clients. And I look at the iPhone: did we ever envision when it was launched that this device would have all these apps that we now can't live without? So I don't know. I trust in human nature. But I can't see around corners to say, you know, everybody's predicting that you're not going to need any programmers anymore, and most IT departments would tell you no, I'm just going to have a lot more stuff. There's a bunch of things we want to do. So no, I still need them. I'm just excited that I can get more done. So I just look in history and say we always seem to bounce back from this. I think it's going to be the same thing here. I'm an optimist. And I don't know to what degree you've been involved in Anthropic or OpenAI, but obviously these have become some of the most important companies on the earth to this point, with valuations that I certainly didn't see coming a few years ago. How have you been involved in those companies? How do you think about the current valuations? How do you think about their ability to extract enough value, despite there being some commodity-like aspects of what they do? Yeah, I mean, it's hard. So Google just came out with their free service on that. And so what does that do ultimately to Anthropic? At some point, Google's probably going to want to get paid. Remember, they were free in search originally; then you got all these ads. So these are powerful and everybody's using them and wanting to use them. So I think at least as long as this growth trajectory continues, there is huge value. And I think we're only starting to unlock the capabilities of leveraging these tools broadly in your business. Anthropic is not yet embedded in the engine of somebody's investment decision or an application that our teams use to go out and talk to financial advisors, but they are getting embedded in these things, and all those are going to be revenue generating.

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Cite this transcript

APA, MLA, BibTeX
APA

Johnson, J. (2026, June 30). Franklin Templeton CEO Jenny Johnson's Optimistic Take on AI and the Future of Work [Interview transcript]. The Economic Club of New York. CEOInterviews.AI. https://ceointerviews.ai/interview/1053519/

MLA

Jennifer Johnson. "Franklin Templeton CEO Jenny Johnson's Optimistic Take on AI and the Future of Work." The Economic Club of New York, 30 Jun. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/1053519/.

BibTeX
@misc{johnson2026_1053519,
  author       = {Jennifer Johnson},
  title        = {Franklin Templeton CEO Jenny Johnson's Optimistic Take on AI and the Future of Work},
  howpublished = {Interview transcript, The Economic Club of New York. CEOInterviews.AI},
  year         = {2026},
  month        = {jun},
  url          = {https://ceointerviews.ai/interview/1053519/},
  note         = {Speaker-attributed transcript with timestamps}
}