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Brian Halligan Analyzes Jack Dorsey's New Org Playbook

Brian Halligan reflects on an interview with Jack Dorsey and Sequoia founders, arguing Dorsey's AI-era organizational approach departs from Andy Grove's playbook and proposing the name 'Dorsey Mode' for it.

Original post · 5 min read
I had a chance to interview @jack on Long Strange Trip and then sit in on his Q&A with a bunch of Sequoia founders yesterday. Here's my take followed by my takeaways.

Almost all of us are running a derivative of the playbook laid out in Andy Grove's "High Output Management" book that has been lightly edited down through the generations. Jack's set of ideas is a stark departure from that playbook. It reminds me of the shift I went through at the start of my career (pre web - yes, I'm that old!) to "digital transformation," but this is a much bigger, harder shift.

Some of my CEO friends have pushed back on these ideas saying something to the effect that Jack isn't a great CEO so we shouldn't listen to him. First, I'm not sure if that is true, but even if it is true, he is an undeniable innovator and first principles thinker applying that thinking here to org design, not just product design. Second, @brian_armstrong, a consensus great CEO is running something that sounds VERY similar to this playbook as well as almost every startup created in the last 18 months. Third, the first quarter Jack printed after putting this in place was a banger. ...To that end, I think we should all call this new playbook, "Dorsey Mode" after the guy who stuck his neck out.

If you want to run Dorsey Mode, a lot of things fall out of it that fall out of it:
1. Strategy - Planning cycles are out the window because the speed increases too much. All those 1 way doors you were procrastinating now look like 2 way doors.
2. Distribution - Given how much easier it is going to get to build products, competition and customer confusion will reign. In this new world, distribution is king. Companies with truly creative distribution strategies (rare!) will gain advantage. Also, long live ye olde enterprise sales.
3. Interviewing - All of the startups I work with have changed their interviewing process. Many have a case with a hard ai problem to solve embedded in it or at least have the prospective employee open their laptop and show them something interesting they built with ai. 4. Profile - There was a split in my group of CEOs at the Q&A -- some were learning hard into pilled jr engineers and some were leaning hard into very senior engineers. It roughly seems like the older companies with more code like Meta and HubSpot, are leaning harder into the very senior engineering types. ...Everyone seems keen to hire "curious" types not afraid to go very deep down rabbit holes.
5. Org shape - Triangle shaped org charts are like democracy, its the least bad system we've got. The biggest problem with triangles is that they get worse with size. The new org chart, in theory, is circular with the world model in the middle and very small teams surrounding it. Very few pure managers in the middle anymore. This seems "early," but directionally right to me.
6. Compensation - The difference between a middling employee and a top one is getting much wider which will necessitate a net new pay scale with a much higher standard deviation.
7. Titles - Jack got rid of them and is trying to focus everyone on the work as opposed to the level. As someone who tried this earlier in my career at HubSpot, I'm a little skeptical of this one, but the meta point of trying to focus people on what they "lead" versus who they "manage" is a good one that I hope sticks.
8 Decisions - Almost all decisions these days are made by carbon based life forms. Dorsey Mode turns an increasing amount of decisions over to the system.
9. IT - This is will totally change as their primary function will be to building the scaffolding for the world model and enable the company to keep feeding it the context and taste it will need to improve. EVERYTHING needs to be "legible" (I hate that I'm using that overused word, but it works) ...Btw, an early sign that a company is in Dorsey Mode is when they record every meeting, including the one on one's, cleverly stripping out some HR bits and centralizing them for use by the model. Btw, Ray Dalio had it right, but was just too early.
10. Slop - As more non-technical people build more things, there will be more slop. I didn't grok Jack's answer to this and I'm not sure the answer myself, but Dorsey Mode companies will need to figure out a system to reign in the badly designed systems.
11. Agency - This another word I cringe at using b/c it is so overused, but hiring folks with high agency that are self motivated will be key. The tricky part is that the beef with the current generation is that they are less like this than their predecessors.
12. CEO - This isn't something that will bubble up. The CEO needs to run hard at it and push it down hard and expect to get pushback from laggards. Jack spends 3 hours every morning building hard things with the new tools. ...AI isn't something that lends itself well to learning by reading or watching a video, so CEOs are running hackathons, show & tell's, building days, office hours, and token leader boards. ...Btw, lots of companies are doing the leader board thing (including mine) -- I think this works until it doesn't!
13. Budgets - Budgets in a lot of software orgs are basically enumerated in headcount. The denomination goes back to dollars.

As Jack (and my cofounder @Dharmesh) likes to say, in some cases, it is a lot riskier not to take a risk and this is one of those cases.
Ben Lang @benln
Jack Dorsey on how every company can now be a mini-AGI:
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More in Business & Markets

Michael Burry Warns Circular AI Financing Among Eight Firms Could Unravel

Michael Burry Warns Circular AI Financing Among Eight Firms Could Unravel

A tracker account relays Michael Burry's view that $573 billion in AI financing over the past year runs through eight companies that lend to, guarantee and buy from one another. Burry compares the setup to the 2000 telecom fiber bust and warns guarantees could be called if AI revenue disappoints.

Original post · 1 min read
Breaking: Michael Burry says the AI boom is running on one giant loop and time is running out

Here's his breakdown:

1. Burry shared a report from Wall Street lender Ares tracking $573B of AI financing from the last 12 months

2. All of it runs through just 8 companies: Meta, Oracle, Microsoft, Amazon, OpenAI, Anthropic, Broadcom and Nvidia

3. They lend to each other, guarantee each other's debt and buy from each other, so one company's loan is backed by another company's promise to keep spending

4. Every deal depends on one thing: AI spending never slowing down

5. If AI revenue disappoints for even one season, the guarantees could all get called at once, right when the companies backing them are at their weakest

6. Burry says it's the same circular financing that turned the 2000 telecom fiber boom into a bust

Burry claims the stock market in the first stage of grief and the crash is soon
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Navy Pays Anduril $2.9 Billion as U.S. Submarine Capacity Lags

The post argues the Navy turned to Anduril because only two U.S. yards build nuclear submarines and deliver far below the required rate, with China's shipbuilding capacity vastly larger. Anduril is investing $3.7 billion in a new Sparrows Point shipyard, Arsenal-2, with operations planned for 2030.

Original post · 1 min read
The US Navy just paid $2.9 billion to a company that has never built a submarine. Here's why they had no choice.

America has exactly two shipyards that can build nuclear subs. Electric Boat in Connecticut. Newport News in Virginia. The Navy needs two Virginia-class boats a year from them. They deliver 1.1.

Then it gets worse. Under AUKUS, America promised to sell Australia 3 to 5 Virginia-class submarines starting in the early 2030s. We signed a deal to export a product we can't build fast enough for our own fleet.

And the number behind all of it comes from the Navy's own intelligence office. China's shipbuilding capacity sits around 23 million tons a year. America's is about 100,000 tons. 230 times larger. One Chinese shipbuilder, CSSC, built more commercial tonnage in a single year than every American yard combined has built since World War II.

Both incumbent sub yards carry backlogs stretching past 2040, and the supplier base behind them shrank by thousands of companies after the Cold War. You cannot order your way out of that. There was physically no third option to call.

So the Navy invented one. Anduril adds $3.7 billion of its own money, breaks ground on the bones of Bethlehem Steel at Sparrows Point, once the largest steelworks on earth, shuttered in 2012, the yard complex that fed the fleet that won WWII. Hiring starts in 2029. Operations in 2030.

Four years from announcement to first output, and in American shipbuilding that counts as a sprint.
Anduril Industries @anduriltech
Anduril is investing $3.7B into Arsenal-2.
The next great American Shipyard.
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Huawei and Qualcomm Sign Broad Patent License, Cross-Licensing Deal

Huawei and Qualcomm announced a multi-year patent license agreement with cross licenses covering 5G, compute, AI and networking, plus Qualcomm's purchase of certain Huawei U.S. patents. Arnaud Bertrand calls it a notable outcome given U.S. efforts to cut Huawei out of those fields.

Original post · 1 min read
This is genuinely incredible: Huawei survived the most aggressive assault against a single company in modern history and is coming out the other side with the U.S. licensing its technology.

And ironically in the exact domains - 5G, AI, compute, networking - that the U.S. tried to cut Huawei out of.
Huawei @Huawei
Huawei and Qualcomm have announced a multi-year, broad patent license agreement that includes cross licenses to the companies' patent portfolios across a range of fields, including 5G, compute, AI, and networking, together with Qualcomm's purchase of certain Huawei U.S. patents.
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a16z Argues Flexible Data Centers Could Bypass Texas Grid Queue

a16z Argues Flexible Data Centers Could Bypass Texas Grid Queue

a16z's Ryan McEntush argues that data centers agreeing to curtail power during peak hours can connect to congested grids sooner. He cites Texas's queue growing to 474 GW, about 90% of it data centers, and estimates 100 GW of flexible capacity could be added without new plants.

Original post · 1 min read
Left: Texas's grid only maxes out about 200 hours a year, roughly 2% of the time.

Right: New data centers that agree to cut back during peak hours can skip the wait for more capacity. US grids could add 100 GW of them without building a single new plant.

a16z's @rmcentush on how flexible data centers get onto the grid sooner: a16z.news/p/why-texas-is-making-data-centers
Ryan McEntush @rmcentush
Why Texas Is Making Data Centers Wait — At the end of 2024, Texas’ grid operator had 63 GW of large new customers in its queue. By this June, that figure reached 474 GW, more than five times record peak demand, about 90% of it data centers.
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Larry Ellison Signs $40.4 Billion Guarantee for Warner Bros. Deal

Aakash Gupta reports that Larry Ellison signed a $40.4 billion personal guarantee to back the Ellison family's roughly $111 billion acquisition of Warner Bros. Discovery after Paramount's purchase, outbidding Netflix. The combined company, to be called Skydance, would include major studios, news networks and a 15% stake in TikTok's US entity.

Original post · 1 min read
A dad just signed a $40.4 billion personal guarantee so his son could buy Hollywood.

In 14 months, the Ellison family bought Paramount for $8 billion, then won a bidding war against Netflix for Warner Bros. Discovery at roughly $111 billion. Warner Bros, Paramount, CBS, HBO, CNN, DC, Nickelodeon, and TNT Sports now sit under one roof. Next week the combined company takes the name Skydance.

Netflix should have won. Warner's board had already signed an $83 billion deal with them and rejected the Ellisons twice, because the money sat in a revocable family trust the board called "illusory."

So Larry Ellison, 82 years old, answered with an irrevocable personal guarantee of $40.4 billion. One signature.

For scale, Larry has sold about $4.7 billion of Oracle stock this entire century. The guarantee was almost 9x everything he's cashed out in 25 years, backed by his 1.16 billion Oracle shares.

The merged streamer launches with around 207 million subscribers and $70 billion in projected annual revenue. And through Oracle, the family also holds 15% of TikTok's US entity.

Harry Potter, Top Gun, Batman, SpongeBob, Game of Thrones, CNN, CBS News, and a piece of TikTok's algorithm, all of it now answers to one family.
Valuetainment @valuetainment
JUST IN: HBO Max and Paramount+ are merging into a single streaming service.
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Valon Raises $150M Series D at $2.3B Valuation for Mortgage Software

Valon Raises $150M Series D at $2.3B Valuation for Mortgage Software▶

a16z reports that Valon raised a $150 million Series D at a $2.3 billion valuation after signing over $200 million in software deals, and describes how it became a regulated servicer before selling its platform to the industry.

Original post · 1 min read
.@Valon just raised a $150M Series D at a $2.3B valuation. Within six months of selling software, they signed over $200M in deals.

(And they're hiring!)

How the seven-year-old company got there:

- Mortgage is $13 trillion of consumer debt running on a system built before the internet, and no servicer will trust a new platform. So Valon became one.

- Co-founder Andrew Wang read every federal and state regulation, 18 hours a day for six months, and turned it into code.

- They ran their own servicer on the software until it hit 3x the industry's efficiency, sold that servicer to a larger mortgage company, and now sell the software to everyone else. One of the biggest servicers in the US is moving 4 million loans onto it, nearly 10% of the market.

Valon is hiring deployment strategists in NY and SF. Read more about their open roles: a16zjobs.substack.com/p/valon-just-raised-150m…

@xlindadu @wangandrewd
a16z @a16z
a16z's Angela Strange sits down with @Valon's Andrew Wang and Linda Du to unpack what it takes to rebuild the infrastructure underneath a $13 trillion mortgage market that still relies heavily on systems designed before the internet.

Linda and Andrew explain why Valon chose the hardest path: becoming a regulated mortgage servicer, translating decades of federal and state regulation into software, and proving the platform on its own loans before selling it to the industry. That foundation made Valon roughly 3x as efficient as traditional servicing and created the system of record it is now usi…
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