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Cathie Wood
CEO & Founder, ARK Invest

Why These Unknown AI Health Stocks Are About To Explode (ft. Cathie Wood)

📅 Oct 05, 2026 WOLF Financial 16 MIN 12 VIEWS 52 SEGMENTS · 2 SPEAKERS
Cathie Wood believes healthcare could be AI’s most profound application and that investors may be overlooking it! Subscribe to our FREE Newsletter: https://marketmadness-newsletter.beeh... ▶ Follow Cathie Wood: X: https://x.com/CathieDWood ▶ Follow ARK Invest: X: https://x.com/ARKInvest Website: https://www.ark-invest.com/ ▶ Follow WOLF Financial: X: https://x.com/WOLF_Financial Instagram:   / wolffinancial_official   This content is for informational purposes only and does not constitute investment advice. The views expressed by guests are their own and do not necessarily reflect those o...

What Cathie Wood said

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

Cathie Wood, CEO of ARK Invest, argues that healthcare is the most profound application of AI, citing the three billion base pairs of DNA in the human body as a proprietary data source. She highlights CRISPR Therapeutics' cures for beta-thalassemia and sickle cell disease, and compares gene-editing stocks like Intellia, CRISPR, Beam, and Prime to Amazon in 2003, noting they are safe, effective, FDA-approved, and reimbursed at $2.2 million per cure, but still trade sideways. She predicts a breakout, citing the 'longer the base, the bigger the breakout' principle. On Meta, Wood says her conviction has increased due to aggressive AI investment, a 3.6 billion user base, and Mark Zuckerberg's competitive drive, though she cautions it looks like a value stock. She believes autonomous vehicles will disrupt transportation, with Tesla likely winning in the US. She is excited about Rocket Lab, having visited Peter Beck in New Zealand, and notes SpaceX's IPO is driven by orbital data centers. She advocates for retail access to private companies, mentioning ARK's closed-end ETF, and advises that innovation portfolios can hedge against value traps, though she personally holds most exposure in such portfolios.

Key takeaways

  1. Healthcare is the most profound application of AI, with three billion base pairs of DNA as a data source.
  2. Gene-editing stocks like Intellia, CRISPR, Beam, and Prime are compared to Amazon in 2003, with a breakout expected.
  3. Meta's conviction has increased due to aggressive AI investment and a 3.6 billion user base, but it looks like a value stock.
  4. Tesla is likely to win the autonomous vehicle market in the US, disrupting transportation.
  5. SpaceX's IPO is driven by orbital data centers, and Rocket Lab is a leader in space.

Numbers and commitments

FigureWhat it refers toTypeAt
$2.2 million reimbursement per cure for gene-editing treatments price 3:31
3.6 billion Meta's user base metric 6:14
1%, 2%, up to 15 or 20% suggested allocation to innovation portfolios guidance 14:17

Chapters

  1. 0:00Healthcare as AI's most profound application
  2. 2:42Gene-editing stocks compared to Amazon
  3. 5:06Meta's AI moat and value status
  4. 8:32Autonomous vehicles and Tesla's edge
  5. 10:23Space: SpaceX and Rocket Lab
  6. 11:54Retail access to private companies
  7. 14:03Advice for innovation investors

Questions asked in this interview

9
  1. 0:00And what do you think people aren't talking about enough?
  2. 1:12Do you think that AI could rapidly expand longevity of life and quality of life?
  3. 2:27So what's interesting about this period with those names in particular?
  4. 5:06And Meta, I was curious how you look at it in terms of AI value accretion in applications versus the industrial side, and also is Meta a moat? Does it have a moat?
  5. 8:32Why aren't we just seeing a huge curve upwards?
  6. 10:23Where do they fit into this thematic for you?
  7. 11:41It's like when I first met Vlad three, four years ago, and I saw what he was doing and how he's building Hood, it gave me a lot of conviction, right?
  8. 11:54How important is it that retail has access to invest in these companies while they're still private before they IPO?
  9. 14:03And maybe wrap in with that, any other thoughts on Robinhood Summit?
Interviewer 0:00 ↗
And right now it's one of the most exciting times ever for investing. You have AI, robotics, tokenization. What are some of the topics that you're most excited about? And what do you think people aren't talking about enough?
Cathie Wood 0:10 ↗
Oh, what they're not talking about enough? I would say healthcare. I know that doesn't sound sexy, but we think it's the most profound application of AI.
Interviewer 0:22 ↗
Wow. And those stocks have just come alive.
Cathie Wood 0:25 ↗
Yeah. After almost four years of suffering. Companies like Anthropic and OpenAI are saying, you know what? I think healthcare could be the most important application of AI. And why is that? It's because we know nothing effectively about biology. And I'll tell you why. There are three billion base pairs of DNA in our bodies. Three billion.
Interviewer 0:55 ↗
There are 40 trillion cells.
Cathie Wood 1:01 ↗
So we are walking proprietary data factories, each one of us, and this is the... I think AI is going to crack the code to life, health, and death.
Interviewer 1:12 ↗
Do you think that AI could rapidly expand longevity of life and quality of life?
Cathie Wood 1:19 ↗
I absolutely do. I think that now that we can identify mutations... So mutations are some programming error in our genome or proteome. Now that we can identify them — what are mutations? They are the earliest manifestation of a disease, the earliest sign. So if we can identify them in the very early days, then there's... and the only way we can do that is with new sequencing technologies, with artificial intelligence. Now that we can identify them, we can begin to reprogram them, edit out those errors, and cure disease or prevent disease even before it happens. And it's already happening. A company called CRISPR Therapeutics is already curing beta-thalassemia and sickle cell disease, and in its pipeline is a cure for bad cholesterol.
Interviewer 2:20 ↗
Wow. Well, my brother needs that one.
Cathie Wood 2:22 ↗
Yeah. [laughter] A huge percentage of the US population needs that.
Interviewer 2:27 ↗
And you know, I think a lot of people are looking at Moderna here because it had that pop recently, but names like CRISPR have really traded sideways for years at this point. And it's almost been like a nice period of consolidation, right? And now they have a catalyst. So what's interesting about this period with those names in particular?
Cathie Wood 2:42 ↗
So if you... it's Intellia, CRISPR, Beam, Prime. What's interesting about those names is they remind me of Amazon after the tech and telecom bust. And I remember in 2003, when at another firm we tiptoed into Amazon at a $5 billion valuation.
Interviewer 3:07 ↗
It's trillions now, right?
Cathie Wood 3:08 ↗
I know. It's like three trillion. Yeah. I remember back then people were saying, 'What are you doing? They will never make any money.' Delivering books.
Interviewer 3:18 ↗
Yeah. Books.
Cathie Wood 3:22 ↗
And at the time they were online, and I was doing all my Christmas shopping online with Amazon.
Interviewer 3:27 ↗
Wow. In '03. But very early adopter.
Cathie Wood 3:31 ↗
Very early adopter. Lost a lot — meaning I didn't get a lot of the packages — but that's innovation in its earlier days. And I knew it. I was a new mother, and it was fantastic. But as far as the stock, you know, Amazon would solve one issue that analysts had, and then they'd find another issue they didn't like, and then another one, and another one. And it took a good few years before the market started to catch on to how important Amazon was going to be, in terms of not only retail but also AWS and so forth. And same thing with these stocks. I think, you know, they solve... what do they solve? Safety — they're safe. Efficacy — it works. FDA approved — check. Reimbursement — check. They get $2.2, $2 million for each of these cures. Think about that.
Interviewer 4:28 ↗
Check. Because we save so much sick care money. Yeah.
Cathie Wood 4:32 ↗
That insurance companies have no problem. But still, they go sideways. And you're right. You're right. This — and I've said this about Tesla. I said it in 2019. The longer the base — we are here at a conference where there are a lot of traders, and they know this — the longer the base, the bigger the breakout. And I think that's going to be true with these stocks.
Interviewer 4:55 ↗
That's a great point. And you know, speaking of one of the Mag Seven here, there's another one that you've actively been talking — the team's been talking about a lot on the brainstorm, and I've seen it getting added to the portfolios, and that's Meta.
Cathie Wood 5:06 ↗
Yes.
Interviewer 5:06 ↗
And Meta, I was curious how you look at it in terms of AI value accretion in applications versus the industrial side, and also is Meta a moat? Does it have a moat?
Cathie Wood 5:17 ↗
Yeah, all of these are live questions. That's why you hear so much about it on the brainstorm. So I can tell you, having invested as long as I have in innovation — so yeah, back into the '80s — typically when there's a technology transition, companies who were very successful in the old world did not do very well in the new world. Now, an exception was Microsoft. Microsoft has made the transition in a number of things.
Interviewer 5:49 ↗
Yeah. He's cooking out there.
Cathie Wood 5:52 ↗
Yes. Yes. Got to hand them lots of credit. Not under Ballmer, but under Satya Nadella. That was the consolidation. And he walked in and activated all of the gifts they did have, and was willing to go open source when it was looked upon... frowned upon.

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APA

Wood, C. (2026, October 5). Why These Unknown AI Health Stocks Are About To Explode (ft. Cathie Wood) [Interview transcript]. WOLF Financial. CEOInterviews.AI. https://ceointerviews.ai/interview/2989960/

MLA

Cathie Wood. "Why These Unknown AI Health Stocks Are About To Explode (ft. Cathie Wood)." WOLF Financial, 5 Oct. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/2989960/.

BibTeX
@misc{wood2026_2989960,
  author       = {Cathie Wood},
  title        = {Why These Unknown AI Health Stocks Are About To Explode (ft. Cathie Wood)},
  howpublished = {Interview transcript, WOLF Financial. CEOInterviews.AI},
  year         = {2026},
  month        = {oct},
  url          = {https://ceointerviews.ai/interview/2989960/},
  note         = {Speaker-attributed transcript with timestamps}
}