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How Atlassian built a $45 billion software company far from Silicon Valley’s ‘froth and bubbles’

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Edgecliffe-Johnson, A. (2026, September 18). How Atlassian built a $45 billion software company far from Silicon Valley’s ‘froth and bubbles’. Semafor. https://www.semafor.com/article/09/18/2026/how-atlassian-built-a-45-billion-software-company-far-from-silicon-valleys-froth-and-bubbles

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Semafor · collected 2026-09-18 · by Andrew Edgecliffe-Johnson

Quick Summary

Mike Cannon-Brookes, co-founder and CEO of Atlassian, discusses how his Sydney-based company has grown to a $48 billion valuation despite being far from Silicon Valley's tech hub. He attributes this success to the city’s diverse economic environment, which allows Atlassian to test its products in less technology-focused markets before expanding globally. Cannon-Brookes notes that while time zones can be challenging, they also give his company a unique perspective and an advantage by avoiding the hyper-innovation yet sometimes impractical ideas prevalent in Silicon Valley.
Written by AI on 2026-09-20, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Atlassian, an Australian enterprise software company founded by Mike Cannon-Brookes and Scott Farquhar, has grown to a valuation of $48 billion despite being headquartered in Sydney, far from Silicon Valley's tech hub. Cannon-Brookes attributes Atlassian’s success to its unique position as both an Australian company with a Nasdaq listing, allowing it to test innovative ideas in less technology-focused markets around the world. The company has faced challenges due to US investors' uncertainty about AI's impact on software companies, causing volatility in stock prices. However, Atlassian’s stock surged by 230% after posting better-than-expected earnings but still remains 60% below its peak valuation from late 2021. Cannon-Brookes believes that AI adoption among customers will lead to increased spending on Atlassian's products, supporting the company's growth prospects.

Written for “Atlassian Company Success Story” on 2026-11-04, grounded in this article and the 0 other(s) covering the same event.

Story

📰 Atlassian Company Success Story
Economy/Business · 1 article(s) covering the same event.

Compared with similar articles

Nothing to compare against. No article is close enough to this one for the pipeline to have linked or judged the pair.
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
76
sentences that state something as happening or true
Uncertain
1%
1 of 76 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
59/100
Semafor's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Economy/Business
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-20 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Semafor · 1484 article(s) · 3 correction(s) detected
Running correction rate · 3 correction(s)

Who wrote this

Andrew Edgecliffe-Johnson
14 article(s) here · 1 carrying a prediction
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🔮 Sydney’s diversified economy makes it “a great microcosm,” where Atlassian can test whether ideas hatched in California’s Bay Area will work in less tech-forward cities around the world.
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Also by Andrew Edgecliffe-Johnson
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 14 articles by Andrew Edgecliffe-Johnson →

Topics

Atlassian Australia Australian Nasdaq Sydney

Subjects

Atlassian ORG · 7× Sydney GPE · 5× Australia GPE · 2× Cannon-Brookes PERSON · 2× Australian NORP · 1× California GPE · 1× Mike Cannon-Brookes PERSON · 1× Nasdaq ORG · 1× San Francisco GPE · 1× The Signal ORG · 1×

Narrative

Have you gone through the cycle many other companies have gone through of encouraging your software developers to go wild on the latest AI models and then realizing it’s costing you a fortune and reining them back in?
framing: assertive · carried by 1 article(s) · first seen 2026-09-20
🔮 Sydney’s diversified economy makes it “a great microcosm,” where Atlassian can test whether ideas hatched in California’s Bay Area will work in less tech-forward cities around the world.

Claims (76 extracted, 1 hedged)

The combination of an Australian headquarters, a Nasdaq listing, and customers around the world means that Mike Cannon-Brookes usually has his first coffee of the day before he opens his laptop at 5 am. asserted
he → mean → am
But Atlassian’s co-founder and CEO sees his location as one of the reasons why his enterprise software company has grown to a $48 billion valuation, making him one of Australia’s wealthiest entrepreneurs. asserted
him → see → entrepreneurs
Straddling the Pacific Ocean can be both a source of frustration and differentiation, Cannon-Brookes says. asserted
Brookes → straddle → frustration
Sydney’s diversified economy makes it “a great microcosm,” where Atlassian can test whether ideas hatched in California’s Bay Area will work in less tech-forward cities around the world. asserted
ideas → make → world
Even far from the “froth and bubbles” of Silicon Valley, Atlassian has been caught up in US investors’ mood swings over whether AI will hurt or help software companies like his. asserted
AI → catch → his
Atlassian’s stock has leapt 230% from an April low, helped by stronger-than-expected earnings, but is still 60% below its late-2021 peak. asserted
stock → leap → peak
Cannon-Brookes says the evidence he’s seen so far suggests that customers will spend more with Atlassian as they use AI more heavily. uncertain
they → say → AI
“The most AI-centric, the most AI-native, those are actually the customers that are expanding the fastest for us.” asserted
that → expand → us
Here’s how he explains what it’s offering them, and why he’s advising other CEOs to make big bets on AI, even if they won’t all pay out. asserted
they → ’ → AI
This interview has been edited for clarity and brevity. What’s your routine in Sydney? asserted
routine → edit → Sydney
I start most days at 5 am. asserted
I → start → am
I work 5 to 7, then kids 7 to 9, then work 9 to 3. asserted
I → work → 3
I’m not one of these early-risers that gets up, does some journaling, drinks some water, goes to the gym, that sort of thing. asserted
that → ’m → thing
It’s more like [I wake up at] 4:45 am, make an espresso, and get to the computer, which is less healthy than all the journaling and meditation kind of stuff. asserted
which → ’ → stuff
I’m interested in the challenge of building a company this big from Sydney. asserted
I → ’m → Sydney
You’ve straddled the US and Australia for a long time, but it sounds like you think the time zone is not a disadvantage. asserted
zone → straddle → time
I travel an awful lot. asserted
I → travel → ?
When you’ve got a global customer base, at some point it doesn’t matter where you are [based]. asserted
you → get → point
But I think one of Atlassian’s biggest hidden advantages is having one foot in Silicon Valley and one foot squarely outside of Silicon Valley, in a large traditional corporate market. asserted
one → think → market
We’re fast adopters of technology, but we’re not super technology-driven. asserted
we → ’re → technology
I always say you get the froth and bubbles of Silicon Valley. asserted
you → say → Valley
This amazing “I’m going to change the world” attitude has produced some of the most incredible businesses ever. asserted
attitude → go → businesses
And at the same time, sometimes there’s a lot of technology that’s applicable between San Francisco and San Jose, and nowhere else in the world. asserted
that → ’ → world
We take the ideas from Silicon Valley, and we try to make sure those ideas apply in Sydney, which is a proxy for every other big city in the world. asserted
which → take → world
Atlassian is going to be 25 years old next year. asserted
Atlassian → go → ?
How do you describe the company’s place in the market now? asserted
you → describe → market
We help companies run business processes, and collaborate around those processes in a variety of different areas that are critical glue to how a company actually runs on a daily basis. asserted
company → help → basis
We don’t handle their accounting system, their email, or their calendar. asserted
We → handle → system
We handle all of the glue in between the systems for their business teams, their technology teams, their service teams, and their leadership teams, and try to bring that together into repeatable business processes. asserted
We → handle → processes
Which sounds naff, but a great company is just actually a collection of processes that [also allow people to] innovate and change and collaborate. asserted
people → sound → processes
The intelligence and creativity of the people is what makes it a beautiful mess. asserted
it → make → people
You’ve been talking about ‘context’ as the great AI bottleneck. asserted
You → talk → bottleneck
What exactly is the context problem that your customers are dealing with? asserted
customers → deal → that
AI models are intelligence, and you can rent intelligence from lots of different model providers. asserted
you → rent → providers
It’s a fantastic battle [between them] that we’re all benefiting from because the intelligence power that we’re being given is going up continually. asserted
we → ’ → that
But models lack wisdom and knowledge. asserted
models → lack → wisdom
They have a lot of generalized knowledge. asserted
They → have → knowledge
Ask any model in the world where Einstein was born, and they’ll give you the answer. asserted
they → ask → answer
If you ask, ‘When is this project due?’ they have no idea because it’s not in the model; it’s in your company. asserted
it → ask → company
So you have to bring that knowledge from the company with the intelligence of the model. asserted
you → have → model
…and 36 more, not listed.
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