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19 results for “ai investment”
Topic4 mentions across episodes
AI investment
...the investment material before investing, including objectives, risk charges, and expenses. This and other information can be found in the innovation funds prospectus at fundrise.com/innovation. This is a paid sponsorship. And finally, let me tell yo
2:12 / 3:16
from transcript2:12 – 3:16
...the investment material before investing, including objectives, risk charges, and expenses. This and other information can be found in the innovation funds prospectus at fundrise.com/innovation. This is a paid sponsorship. And finally, let me tell yo
1:10:22 / 1:11:36
from transcript1:10:22 – 1:11:36
And I think an open question for the next year is going to be how we generate those value functions for spaces that are not as well constrained or well defined. And so the question that this leaves us in is, like, well, what does that mean for startu
10:41 / 11:48
from transcript10:41 – 11:48
So I think there's a big question here around all of these new AI labs popping up where it's like, how do they raise enough funding to compete with these big guys? And I don't think that that is a question that we quite have an answer to right now. I
22:26 / 23:32
from transcript22:26 – 23:32
One was Safe Super Intelligence, which is was created before and we'd already been announced, but it's reportedly raising over $1,000,000,000 with a valuation of 30,000,000,000, which is I feel like that seems low sorry. That seems so low now, and it
21:38 / 22:52
from transcript21:38 – 22:52
...of investments for yourself by visiting fundrise.com/20vc.
49:10 / 50:34
from transcript49:10 – 50:34
Now a global work force of 300,000 can use AI to fill their HR questions, resolving 94% of common questions. Not noise, proof of how we can help companies get smarter by putting AI where it actually pays off, deep in the work that moves the business.
21:43 / 22:45
from transcript21:43 – 22:45
And, typically, you know, our world is, like, twelve to twenty four months downstream of that. So when you see the way we size our funds at the early stage, that's a reflection of what those early stage teams think is their opportunity set, and, you
59:04 / 1:00:16
from transcript59:04 – 1:00:16
Right? It's if you have such a massive disruption, this is what this is what allows a startup to really grow and and and and scale and and pick a pick a battle with the with the incumbents. I think we've seen that. But, you know, GitHub Copilot for M
34:22 / 35:31
from transcript34:22 – 35:31
every single layer, every step of the way. So as an infra investor, it's certainly a very, very exciting time, which is the reason why we raised 1,700,000,000.0 fund to really back infrastructure founders to go from all the way on the bottom of, you
1:27 / 2:40
from transcript1:27 – 2:40
We have maybe three minutes for any other stuff that you think, about just the state of start startups in general, state of funding. Yeah. I I I so so maybe I can talk about, like, just the archetype startup that is, like, most exciting to me. Yes. I
25:39 / 26:43
from transcript25:39 – 26:43
...of investments for yourself by visiting fundrise.com/20vc.
0:48 / 2:33
from transcript0:48 – 2:33
but it's not because these projects are so long. There's a real long tail, and it really will come down to what the priorities of the DODR and Space Force and others. Is it about missile defense, or is it about something else more exploratory like sp
24:42 / 25:59
from transcript24:42 – 25:59
...and our investment in CoreWeave, where we were the first institutional investor in CoreWeave in 2021. So we're very early in the trend of putting capital into the AI infrastructure space, And that's just sort of grown as this whole market has grown t
5:12 / 6:17
from transcript5:12 – 6:17
early team members is the harder thing, especially because there's a lot of competition with others, companies that have raised so much money that for the really good people, the salaries are, like, insane. That's, in my opinion, the biggest thing. W
25:31 / 26:32
from transcript25:31 – 26:32
...investment in human history. This investment is being led by the hyperscalers, who are investing hundreds of billions of dollars per year per year, to make this happen. These are the companies with the biggest balance sheets in the history of busines
31:30 / 32:33
from transcript31:30 – 32:33
investment by Nippon Steel into an old, very important industry. And then last week, on Tuesday, there there was an a AI summit in in Pittsburgh, all the big players, and pit Pittsburgh Pittsburgh is a natural location, for AI, lots lots of cheap ene
2:59 / 4:01
from transcript2:59 – 4:01
Are we building towards the biggest economic boom in human history or the fastest collapse? Right now, AI labs are burning billions on compute. Anthropic just built a data center that uses as much power as Indiana state capital and Microsoft's planni
2:15 / 3:25
from transcript2:15 – 3:25
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