Machine transcription with reviewed terminology and names. Some recognition errors may remain. Timestamps refer to the original livestream.
7:09:22How's it going?
7:09:24Who is the most energized in the room?
7:09:27Whoever that was, most energized.
7:09:30Well, welcome back for the closing keynote block here at AI Engineer New York 2026.
7:09:37I'm Alex Lieberman, co-founder, co-managing partner at Tenex, applied AI partner for Fortune 500 businesses.
7:09:44And we are most of the way through the first session today.
7:09:48and hopefully it's been filled with incredible conversation,
7:09:51which I'm going to share a little bit about some of the conversations I've had offstage in a minute.
7:09:58But hopefully the
7:10:00mix of the programming, the conversation you've had amongst everyone has been really fruitful today.
7:10:05Now, 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.
7:10:16let's start with our presenting sponsor, Arize. Let's give a shout out to Arize.
7:10:22yeah rise next up we have our platinum sponsors oracle sonar work os and exa let's give a shout
7:10:30out for them and then two more we have gold sponsors i love them all they're all my favorite
7:10:36children can't read them all off right now but thank you so much our silver sponsors
7:10:43and to all of our supporting partners who make this possible thank everyone yeah i don't know
7:10:49if that was the first person who said they have the most energy, but that person has a lot of
7:10:52energy. So before we hop into the next block, one thing that I just wanted to share, and I'm sure a
7:10:59lot of you are already feeling this already, is not only is the energy palpable across the room
7:11:06in between all of the sessions, but what you realize when you come to AI Engineer is that
7:11:13the content is incredible. The speakers that are curated are incredible. The depth by which they
7:11:19talk about the work they're doing is incredible. But this is also just surface area that acts as
7:11:25a starting point for conversation amongst everyone in the room. And so for me, not only has it been
7:11:30incredible to stand in the back of the room at various points in the day and just listen to
7:11:36these incredible speakers who are truly living in Edge City, but then to use all of these
7:11:42conversations, all these talks as surface area to have conversations with folks. So a few
7:11:48conversations that come to mind that I've had throughout the day because of the content. One
7:11:53was a conversation with swyx, one of the people behind this incredible event. We were talking
7:11:59about just the diffusion gap that exists in enterprise AI right now. And just some fun
7:12:05stats for you all. We talked to hundreds of big enterprises at 10X across financial services,
7:12:11healthcare, industrials, et cetera. And the way I think about diffusion of AI across these
7:12:18organizations is almost in milestones of a race. So the first big milestone at an enterprise is
7:12:25just adopting a general purpose LLM. Out of curiosity, of the, let's call it 100 firms we
7:12:31talked to, what percentage of those firms do you think have adopted and rolled out an LLM to all
7:12:37their employees. Someone screwing out a number. 9%, I think I heard. 17%. So specific. 90%. So
7:12:4890% of the enterprises we work with have rolled out a general purpose LLN. Under that is people
7:12:54actually getting trained in how to use the technology, how to actually use these surfaces
7:12:58in their work. That's like 60%. Next up is coding agents, agents that are actually used within
7:13:04in engineering and product workflows.
7:13:06That's around 50% of all the enterprises we've been in.
7:13:10And then the final one, where we are truly still day one,
7:13:13is agents actually working in non-engineering workflows
7:13:18in an organization.
7:13:19That is around 5% right now.
7:13:21So going back to what I said earlier,
7:13:23this community really is Edge City.
7:13:26The topics that are being talked about,
7:13:28we are going to continue to see those play out
7:13:30over the next 12, 24, 36 months.
7:13:34I've had a variety of conversations like this throughout the day.
7:13:38It's a fusion gap, open source versus fine-tuned models,
7:13:41how hard it is to hire great AI engineers at scale.
7:13:45And so as we go about the rest of today,
7:13:48but also as you think about the conference in general,
7:13:51use the content as a starting point
7:13:53to have interesting conversations at the edge.
7:13:56With that, I would love to introduce you to our next talk,
7:14:00which is with Frank Long, the head of AI at Coatue.
7:14:03He's gonna be talking about a hedge fund as a function. Let's welcome Frank
