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Forbes Daily Briefing

Inside Superstar Investor Cathie Wood's AI Stock-Fueled Comeback

Forbes Daily Briefing

Forbes

Careers, Business, News, Entrepreneurship

4.612 Ratings

🗓️ 24 October 2025

⏱️ 5 minutes

🧾️ Download transcript

Summary

After crashing in 2022, the Ark Innovation ETF has tripled in the last three years. Fund manager Wood is confident the gains are here to stay, dismissing fears of a bubble.

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Transcript

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0:00.0

Here's your Forbes Daily Briefing for Friday, October 24th.

0:05.4

Today on Forbes, Inside Superstar Investor Kathy Woods, AI Stock-Fueled comeback.

0:12.8

Among all the growth-minded investors who have seen their portfolios soar through this year's AI craze,

0:19.2

one familiar name has outperformed the rest.

0:22.8

Kathy Woods' ARC-Innovation ETF, ARKK, is up 87.1% in the last year, outperforming every

0:31.0

other ETF and mutual fund tracked by the American Association of Individual Investors

0:35.9

as of the end of September, aside from

0:38.5

single-stock funds.

0:40.9

Its gains have been largely fueled by AI-related stocks like Palantir Technologies, Advanced MicroDevices,

0:48.2

Tempice AI, and its longtime largest holding, Tesla, which Wood tells Forbes is the, quote,

0:56.0

largest AI project on Earth,

0:59.1

marveling at its work developing robotaxies.

1:06.7

The last time Wood was riding this high, following her flagship fund's 157% return in 2020,

1:14.9

her idealism and stubborn conviction soon backfired, leading to a 14% loss in 2021 and a dreadful 67% crash in 2022. Even after it has tripled since then, it remains 42% below its February

1:23.1

2021 peak. The flagship fund has $8.3 billion in assets under management, down from $17 billion

1:30.8

at the end of 2020, signaling that most investors abandoned her fund during its slide.

1:37.6

Wood dismisses any notion that she is being swept up in another bubble like the COVID-19 stock

1:42.4

surge. Wood says, quote,

1:44.9

the companies investing in AI are some of the most profitable companies in the world.

1:49.4

The reasoning models are astounding people in terms of how much more they can do if you give

1:53.4

these models time.

1:54.8

I think there were a lot of people expecting at some point the performance would level out.

...

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