Machine transcription with reviewed terminology and names. Some recognition errors may remain. Timestamps refer to the livestream; subtitle downloads are timed to the session clips.
6:42:46How's it going?
6:42:48Who is the most energized in the room?
6:42:51Whoever that was, most energized.
6:42:54Well, welcome back for the closing keynote block here at AI Engineer New York 2026.
6:43:00I'm Alex Lieberman, co-founder, co-managing partner at Tenex, applied AI partner for Fortune 500 businesses.
6:43:08And we are most of the way through the first session today.
6:43:12and hopefully it's been filled with incredible conversation,
6:43:15which I'm going to share a little bit about some of the conversations I've had offstage in a minute.
6:43:22But hopefully the
6:43:23mix of the programming, the conversation you've had amongst everyone has been really fruitful today.
6:43:29Now, before we hop into the final block of the day, let's just take a moment again to give a round of applause to our partners who make this entire event possible.
6:43:39let's start with our presenting sponsor, Arize. Let's give a shout out to Arize.
6:43:46yeah rise next up we have our platinum sponsors oracle sonar work os and exa let's give a shout
6:43:53out for them and then two more we have gold sponsors i love them all they're all my favorite
6:43:59children can't read them all off right now but thank you so much our silver sponsors
6:44:06and to all of our supporting partners who make this possible thank everyone yeah i don't know
6:44:12if that was the first person who said they have the most energy, but that person has a lot of
6:44:16energy. So before we hop into the next block, one thing that I just wanted to share, and I'm sure a
6:44:23lot of you are already feeling this already, is not only is the energy palpable across the room
6:44:30in between all of the sessions, but what you realize when you come to AI Engineer is that
6:44:37the content is incredible. The speakers that are curated are incredible. The depth by which they
6:44:42talk about the work they're doing is incredible. But this is also just surface area that acts as
6:44:48a starting point for conversation amongst everyone in the room. And so for me, not only has it been
6:44:54incredible to stand in the back of the room at various points in the day and just listen to
6:44:59these incredible speakers who are truly living in Edge City, but then to use all of these
6:45:06conversations, all these talks as surface area to have conversations with folks. So a few
6:45:12conversations that come to mind that I've had throughout the day because of the content. One
6:45:16was a conversation with swyx, one of the people behind this incredible event. We were talking
6:45:23about just the diffusion gap that exists in enterprise AI right now. And just some fun
6:45:29stats for you all. We talked to hundreds of big enterprises at 10X across financial services,
6:45:35healthcare, industrials, et cetera. And the way I think about diffusion of AI across these
6:45:42organizations is almost in milestones of a race. So the first big milestone at an enterprise is
6:45:49just adopting a general purpose LLM. Out of curiosity, of the, let's call it 100 firms we
6:45:55talked to, what percentage of those firms do you think have adopted and rolled out an LLM to all
6:46:01their employees. Someone screwing out a number. 9%, I think I heard. 17%. So specific. 90%. So
6:46:1190% of the enterprises we work with have rolled out a general purpose LLN. Under that is people
6:46:18actually getting trained in how to use the technology, how to actually use these surfaces
6:46:22in their work. That's like 60%. Next up is coding agents, agents that are actually used within
6:46:28in engineering and product workflows.
6:46:30That's around 50% of all the enterprises we've been in.
6:46:33And then the final one, where we are truly still day one,
6:46:37is agents actually working in non-engineering workflows
6:46:42in an organization.
6:46:43That is around 5% right now.
6:46:45So going back to what I said earlier,
6:46:47this community really is Edge City.
6:46:49The topics that are being talked about,
6:46:52we are going to continue to see those play out
6:46:54over the next 12, 24, 36 months.
6:46:58I've had a variety of conversations like this throughout the day.
6:47:01It's a fusion gap, open source versus fine-tuned models,
6:47:05how hard it is to hire great AI engineers at scale.
6:47:09And so as we go about the rest of today,
6:47:12but also as you think about the conference in general,
6:47:15use the content as a starting point
6:47:17to have interesting conversations at the edge.
6:47:20With that, I would love to introduce you to our next talk,
6:47:23which is with Frank Long, the head of AI at Coatue.
6:47:27He's gonna be talking about a hedge fund as a function. Let's welcome Frank
