Aaron Hurst

Supporting outlier founders at Dogwood Ventures, @georgiatech @UNC, fan of good food and music, Steeler Nation, views expressed are my own

[Aaron Hurst @aaronhurst14]

https://t.co/oRYL7psnyn

[Georgia Tech Football @GeorgiaTechFB]

He ain’t in it for the hype.
@HeismanTrophy

#HaynesForHeisman x #StingEm 🐝

[Aaron Hurst @aaronhurst14]

@EpsilonTheory Inflation about to go wheeee!

[Aaron Hurst @aaronhurst14]

@JonnyBird @MARTAtransit This is the way...

[Bryce Roberts @bryce]

Some fascinating math from the Wiz acquisition-

Insight invested in their Series A and several follow on rounds. Turning $213M into $2.6B.

Pretty good, right?!?

The biggest software M&A transaction in history didn’t event return a third of their $9.5B fund…

[Boring_Business @BoringBiz_]

This is a pretty insane chart. 92% of US private equity LBOs are now done with private credit instead of bank debt

[Aaron Levie @levie]

Coming off of meeting a couple dozen enterprises around the future of their AI strategies, here are a few notes on the state of AI in the enterprise right now.

1. The AI-first enterprise is emerging. Given AI increasingly is starting to be used across coding, customer support, marketing content creation, risk management, client onboarding, contract management, and more, it’s clear AI will touch almost every department in some way. Companies are starting to think through how entire functions get reimagined in a world of AI.

2. Enterprises want choice in their AI stack. The past couple of years have proven out that there are going to be models that perform different tasks in different ways, and enterprises increasingly want to flexibility in what they use. Further, the rate of innovation coming from the frontier model labs is so incredible that companies want to be in a position to leverage the latest breakthroughs from these players and not be stuck on a single architecture.

3. We will need more interoperability in AI. Especially as AI Agents emerge, and your software has to complete entire tasks for you just like a person would, increasingly there’s going to be a need for AI Agents from disparate systems to talk to each other. As an AI industry, we’re only in the earliest of stages of figuring out standards around this, but it’s going to have major implications on enterprise adoption.

4. Your AI stack will define who you can hire. Employees of the future are going to simply expect that the company they work for is going to enable them to be as productive as possible, and AI is going to be a core part of that. This is going to become more acute as the next generation enters the workforce. Having used AI in high school or college for years, the way they research, collaborate, and generate work product is going to be totally different. You won’t join a company that makes you work 40 hours to get 20 hours done when there’s another company that lets you get 80 hours worth of work done. This will define employee choices in the future.

5. The role of IT is continuing to change tremendously. Jensen called this out in his CES keynote, but we’re seeing a reshaping of what the IT organization will do in the future. In the past, IT has been responsible for deploying and maintaining software that enables the workforce; in a world of AI Agents, IT will increasingly be responsible for actually getting the work itself done. This has massive implications around how strategic IT becomes, and how this org more tightly coordinates with the company.

6. We’re still insanely early. What’s remarkable is that while we’ve seen a tremendous amount of growth in consumer AI, datacenter growth, GPU sales, and many initial breakthrough AI use-cases, we’re still very early. This feels eerily similar to the the first few years of cloud, where adoption is starting with the first movers inside an organization (IT teams, creative employees, etc.) and then expanding from there. Unlike the cloud, however, it’s perceived to be inevitable that every enterprise will be transformed by AI. The main hurdles to getting there are generally ones of AI quality, change management, privacy and compliance work — but not fundamental philosophy challenges, like we saw in cloud.

Overall, this is the most energized I’ve seen enterprises in nearly two decades of being in enterprise software. There’s a palpable sense that we’re on the cusp of major changes to how business and work happens in the future, and it’s unbelievably exciting.

[Georgia Tech @GeorgiaTech]

Georgia Tech is adding a seventh College to the Institute. The College of Lifetime Learning will offer programs that elevate the academic study of learning and transform the future of education in every stage of life. #WeCanDoThat | https://t.co/wooOfYOgOZ

[Aaron Hurst @aaronhurst14]

@ttunguz This supports the thesis that AI will help enable more "enterprise grade" technology to the SMB segment that was previously uneconomical

[Aaron Hurst @aaronhurst14]

Can these scribes lead to larger platform opportunities (e.g., scribe helps build a light CRM for your vertical, then replaces your incumbent)?

[Aaron Hurst @aaronhurst14]

One of the strongest emerging AI use cases we are seeing are AI scribes, especially within "field" jobs where data collection is painful, time consuming and potentially regulated. Really curious how these markets will mature. A plethora of profitable niche scribes? Cont...

[Aaron Hurst @aaronhurst14]

Several consolidated scribes per vertical (i.e. scribe for Doctors)? AI hyperscalers or large tech platforms drop them in a few years for free/cheap?

[Aaron Hurst @aaronhurst14]

@JonnyBird @ATLTechVillage Can't wait to move in! Congrats!

[Aaron Hurst @aaronhurst14]

In the midst of launching a new venture fund, I thought it was a good idea to join a band earlier this year for the first time in my life 🤣👀👀. If you're in Atlanta tomorrow night, come check us out! We play a lot of Cars + Petty + 80s and 90s alternative and new wave.

[Aaron Hurst @aaronhurst14]

@TronCarterNLU @NBCGolf @GolfChannelPR Can we please start calling the NBC announcers “Commercial Load Managers” going forward?

[Aaron Hurst @aaronhurst14]

A great read for all founders (and VCs)

[Eric Paley @epaley]

Two Laws Of Startup Physics

Fifteen years into my venture capital career, I’ve come to believe there are two undeniable laws of startup physics:

Capital compounds both positive and negative formulas.

All positive formulas compound at diminishing rates of return.

1/55

[Aaron Hurst @aaronhurst14]

@KylePorterCBS Romancing the Stones vibes

[Aaron Hurst @aaronhurst14]

One unique challenge AI SaaS startups will face in their go to market strategies: selling to people who may be replaced by the AI. Finding the right buyer persona and level with the organization to sell into will be critical, especially for high-cost reduction applications.

[Reid Hoffman @reidhoffman]

Why did I deepfake myself? To see if conversing with an AI-generated version of myself can lead to self-reflection, new insights into my thought patterns, and deep truths.

[Aaron Hurst @aaronhurst14]

@cklaus1 Congrats Chris!