65% of Sequoia Capital’s Investment Portfolio Companies Harness AI and LLMs Metaverse Post

As we have seen in legaltech, LLMs may unlock growth and disruption in a traditionally difficult vertical for software. Right now, the main applications of this technology target cost saving and automation in back office operations and making workflows more efficient for frontline staff, but the dream is for generative AI to dramatically improve patient outcomes. But humans are not only good at analyzing things—we are also good at creating.

Some VCs see the firm’s concerted investing efforts in AI as a long-term play, a way to establish industry dominance early-on to get the first pick of the next generation of AI startups. Grady disagrees, saying that a reputational bump is merely the “icing on the cake” to picking the right startups now. Sequoia’s 50-plus-year history has spanned the arc of multiple tech revolutions, which they categorize into revolutions of distribution and computation. First there was the rise of the Internet and then mobile phones putting supercomputers into billions of people’s pockets. The team hypothesized that the next revolution would come in computation — data, specifically.

The state of generative AI: 5 charts on growth, adoption and development.

They’ll be able to ship features faster than competitors and react more effectively to market trends. In the era of advanced text-to-software models, agility in embracing this new technology will be the difference between stagnation and exponential growth. Despite the allure of AI-generated software, its adoption won’t be universal. Some companies will resist the change, citing social and ethical implications. Others may be reluctant to rethink and restructure their well-oiled product development processes.

These tasks are currently done by legions of nurses and case managers. Because payors bear the cost of non-adherence from aggravated ailments while pharma loses revenue for drugs not taken, there may be creative go-to-market angles here that startups can leverage. On the other hand, success in attacking core healthcare operations are few and far between, with the rare bright spots generally emphasizing revenue enablement over cost reduction (e.g., Viz, Cedar). Frustrated with the intransigence of payors to adopt new technology, some startups have marched into the payor market instead, often with similarly disappointing outcomes.

Why large enterprises struggle to find suitable platforms for MLops

What we see a lot of is folks just being really focused on optimizing their resources, making sure that they’re shutting down resources which they’re not consuming. The motivation’s just a little bit higher in the current economic situation. You do see some discretionary projects which are being not canceled, but pushed out. We continue to both release new services because customers need them and they ask us for them and, at the same time, we’ve put tremendous effort into adding new capabilities inside of the existing services that we’ve already built.

There’s just so little that’s been written about in the law about crypto, and that means that people are trying to take breadcrumbs from prior decisions and put them together to make something. Even legislators might look at that as they try to think about where the gaps are. As a prosecutor I had a case where we sued three Chinese banks to give us their bank records, and it had never been done before. Afterwards, Congress passed a new law, using the decisions from judges in this court and the D.C. So I’m sure people look at prior decisions and try to apply them in the ways that they want to. I think there’s been some discussion that people may litigate some of these things, so I can’t comment, because those frequently do come to our courthouse.

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Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in …