Why the Atlassian restructure is the defining case study of how companies are getting the AI transition wrong — and what the alternative looks like.
What happened with the Atlassian layoffs in March 2026?
On March 11, 2026, Atlassian cut 1,600 jobs — 10% of its workforce — to fund an AI pivot and strengthen its financial profile. Employees were notified by email approximately 20 minutes after a pre-recorded video from CEO Mike Cannon-Brookes was posted.
Many of those affected hadn’t watched the video yet when the email landed. They were given 6–12 hours of access to Slack to say goodbye to their colleagues. Then they were locked out.
Over 900 of the roles cut were in software research and development. About 640 affected employees are in North America, 480 in Australia, and 250 in India. The restructuring will cost between $225 million and $236 million, with an additional $62 million or more in office space reduction costs.
Atlassian also replaced its CTO, Rajeev Rajan, with two executives it described as “next generation AI talent.”
If you’re one of those 1,600 people, you went into the weekend with a very uncertain future.
But so did Atlassian.
I’ve spent three decades advising senior executives on the Future of Work – and business. In that time, I’ve developed frameworks for understanding why people choose to work for a company, stay, and advocate for it — and what happens when that contract breaks. I’ve tracked the macro forces reshaping global business. And I’ve helped leadership teams navigate AI adoption without destroying the human and cultural assets that actually make organisations work.
The Atlassian story isn’t just a layoff story. It’s a collision of every major force I’ve been tracking — all happening to one company, in one week, in full public view. This is the case study of 2026.
Why is Atlassian’s AI pivot a paradox?
Atlassian is a company being disrupted by AI that is laying people off in the name of AI. Its stock has dropped 84% from its 2021 peak, with more than half that decline happening in 2026 alone, because investors believe generative AI platforms like ChatGPT or Anthropic’s Claude will make Atlassian’s core products obsolete.
Start with the paradox at the centre of this story, because it’s the one that should keep every CEO awake at night.
Jira, Confluence, Trello — the collaboration tools that made Atlassian a household name in enterprise software — are suddenly seen as vulnerable. So what did Atlassian’s leadership do? Announced a pivot to become an “AI-first company.” Cut 1,600 jobs. Replaced the CTO. Allocated the savings toward AI and enterprise sales investment.
A company being disrupted by AI is spending a quarter of a billion dollars to lay people off in the name of AI.
And this isn’t unique to Atlassian. In February, Block cut 4,000 people — nearly half its workforce. Jack Dorsey said AI could automate much of the work those employees were doing. Amazon cited AI in a 14,000-person reduction. Oracle is reportedly planning thousands more. Across the US, more than 54,000 AI-related layoffs were announced in 2025 alone.
The pattern is the same every time: stock under pressure, AI cited as the reason for cuts, AI cited as the destination for investment. The narrative writes itself.
But do the maths math?
PwC’s 2026 Global CEO Survey found that only 1 in 8 CEOs say AI has delivered both cost and revenue benefits. One in eight. IBM research found that only 25% of AI initiatives deliver their expected ROI, and just 16% achieve enterprise-wide scale. MIT found that 95% of enterprise generative AI projects have failed to deliver meaningful returns, with only 5% of custom AI tools reaching production at scale.
Companies are cutting thousands of jobs for a technology that almost nobody has figured out how to monetise yet.
Even Sam Altman — the CEO of OpenAI — acknowledged this at the AI Impact Summit in February 2026. He said that some companies are unfairly blaming AI for planned workforce cuts. His word for it: AI-washing.
Is Atlassian actually in financial trouble?
No. Atlassian posted $1.6 billion in revenue last quarter, with revenue growth of 23% year on year, 26% cloud revenue growth, 350,000 customers, and 5 million monthly users on its Rovo AI features. This is not a company in financial distress.
This is a company running out of investor confidence, not revenue. And there’s a critical difference between those two things — because the response to each should look very different.
Their share price has lost more than half its value in 2026 alone, part of a broader software selloff driven by fears that AI will displace traditional enterprise tools. But if AI is genuinely reshaping what your company needs, why is the primary response to cut the people who build things? Wouldn’t genuine AI transformation look more like reskilling, redeploying, and redesigning how your teams work — not eliminating them?
What does the PwC CEO Survey say about company survival?
42% of global CEOs don’t believe their company will be viable beyond the next decade if it continues on its current path. That figure comes from PwC’s 2025 Global CEO Survey — 4,701 CEOs across 109 countries — and has held steady for three consecutive years.
To understand why companies are responding the way Atlassian did, you need to understand the fear driving it.
That 42% number isn’t the language of steady-as-she-goes corporate management. It’s the language of leaders staring at a strategic inflection point.
The question I keep coming back to isn’t whether they’re right to be worried. It’s what that fear drives them to do.
And the 2026 survey makes it even more urgent: 42% of CEOs now cite whether they’re transforming fast enough to keep pace with AI as their top concern. CEO confidence in 12-month revenue growth has dropped to just 30% — down from 38% in 2025 and 56% in 2022.
I track three forces that are powering what I call the Decade of Radical Change. Atlassian just became the case study for all three.
What are the three forces driving the Decade of Radical Change?
The three forces are: AI changing how we do what we do and levelling the playing field; the Polycrisis of converging global challenges driving rapidly shifting consumer demands; and the rise of the Empowered Workforce, where the skills shortage runs headlong into a workforce with shifting priorities.
Force 1: AI changing how we do what we do and levelling the playing field.
This is the most visible force, and the one getting all the headlines. AI opens up new products and services, creates new and surprising competitors, and requires almost constant upskilling and reskilling. For Atlassian, the disruption is existential — the same technology they’re pivoting toward is the technology that investors believe will make their products redundant.
But the gap between the AI narrative and AI reality is enormous. Leaders are making billion-dollar workforce decisions based on a technology that, by the data, hasn’t delivered for most companies yet. As of this writing, according to Dr. Alan Thomson, we are already 97% of the way from basic assistants like Siri and Alexa to Artificial General Intelligence — but the organisational readiness to capture value from it is lagging far behind the investment.
Force 2: The Polycrisis — converging global challenges resulting in rapidly shifting consumer demands.
Atlassian doesn’t exist in a vacuum. The broader software sector is in freefall. Climate change, economic and political shifts, changing regulatory environments, wars, and potential future pandemics are all converging, creating fatigue and frustration from consumers and employees alike, and requiring agile thinking and constant innovation.
Enterprise buying behaviour is shifting under this pressure. When your customers are navigating their own crises, your relationship with them matters more, not less. The union response to Atlassian’s layoffs — Professionals Australia demanding urgent meetings about AI’s impact on workers — is itself a polycrisis signal: regulatory and labour relations implications that compound the market and competitive pressures already at play.
Force 3: The rise of the Empowered Workforce — where the skills shortage runs headlong into a workforce with shifting priorities.
This is the force most CEOs underestimate, and it’s the one that will cost Atlassian the most.
Within hours of the announcement, hundreds of Australian employees joined Professionals Australia seeking a say in how AI decisions affect their employment. The union said workers were made redundant without consultation or any sign a restructure was coming.
Glassdoor reviews from current and former Atlassian employees are already reflecting the damage: “Values eroded.” “Company direction has never been more unclear.” “No job security.”
In a market where demand outpaces supply, work norms are changing, and the workforce is increasingly selective — every engineer, product manager, and AI specialist Atlassian now wants to recruit watched this week unfold in real time. The talent you need tomorrow is paying attention to what you did today.
How did Atlassian’s layoffs contradict its own values?
Atlassian’s first core value is “Open company, no bullshit.” The company delivered its layoffs via a pre-recorded video and email, with 6–12 hours of Slack access — a significant step back from its 2023 approach, when it gave employees until end of day Friday and explicitly cited its “default to trust.”
This is where the Atlassian story gets personal, and where my work on employee experience collides head-on with what happened this week.
Atlassian has five core values, prominently displayed on their website and woven into their employer brand:
- Open company, no bullshit
- Build with heart and balance
- Don’t #@!% the customer
- Play as a team
- Be the change you seek
These aren’t afterthoughts. They are the reason many of those 1,600 people chose Atlassian in the first place. The company has built its entire reputation — employer brand, product brand, and public identity — on these values.
And here’s what makes this week so damaging: Atlassian has demonstrated before that it knows how to do this differently.
In 2023, when Atlassian cut 500 roles, they handled it with intention. They explicitly said that blocking access to communication tools immediately “didn’t feel right.” They cited their “default to trust” as a core part of their culture. They gave people until end of day Friday to interact with their teams. They acknowledged the human impact publicly and with specificity.
In 2026, same company: a pre-recorded video, a 20-minute window before the email landed, and 6–12 hours of Slack access.
Same company. Different standard. And that gap is the whole story.
What are the 9 Currencies of Choice and how do they apply to Atlassian?
The 9 Currencies of Choice are the nine things people fundamentally need from their work experience — the currencies that determine whether they choose you, stay with you, and advocate for you. Developed in 2010 from reverse engineering over 5,000 exit interviews, the model has been pressure tested every year since against international research. Atlassian’s layoffs devalued almost every one.
Work for a company with a compelling purpose and aligned values. This is the currency Atlassian built its entire brand on — and the one that took the biggest hit. “Open company, no bullshit” doesn’t survive a pre-recorded video and a 20-minute email window. When you build your employer brand on values, those values become a promise. And when the hardest moment comes — the moment that tests what you actually believe — and the response contradicts the promise? That’s the most expensive currency of all.
Work for someone they trust, respect and whom they know cares. A pre-recorded video is the opposite of this currency. It removes the possibility of dialogue, of questions, of a human being looking you in the eye and acknowledging what this means. Workers didn’t hear it from their manager. They heard it from an email, after a video they may not have watched yet. Trust isn’t built in the good times. It’s revealed in the hard ones.
Feel like they belong. One day you’re an Atlassian. You collaborate on Jira. You have a Slack community. You belong to something. The next day, you have 6–12 hours to say goodbye. Belonging isn’t just a feeling — it’s infrastructure. And when you sever that infrastructure overnight, you tell everyone who remains that belonging is conditional.
Be appreciated in the appropriate way. To Atlassian’s credit, the severance package is reasonable — 16 weeks minimum, plus a week per year of service, healthcare continuation for six months, and a prorated bonus. But appreciation isn’t just transactional. It’s how the message is delivered. A severance package is a financial obligation. How you treat people on the way out is a values statement.
Have a voice. This is the currency the union response exposed most clearly. Hundreds of workers joined Professionals Australia within hours. The union’s statement was blunt: no consultation, no warning, no input. In an era where we talk endlessly about co-design, employee experience, and psychological safety — this is what it looks like when voice is removed from the equation entirely.
Know how to be successful and how that success will be measured. Over 900 of the 1,600 affected roles were in software R&D. These aren’t underperformers being managed out. These are people who were building the product. When the criteria for keeping your job shifts overnight from “are you delivering great work” to “does your skill set align with an AI-first strategy that was announced today,” the rules changed without notice. And everyone who remains is now wondering: what are the new rules? And how long until those change too?
Learn, grow and develop in their career. The CTO was replaced with “next generation AI talent.” The message is clear: the skills that built this company are no longer the skills that will run it. That may be a legitimate strategic reality. But the currency of growth means you invest in helping people bridge the gap — not that you replace them and call it adaptation.
Have agency, control and choice. This might be the most violated currency. No consultation. No warning. No opportunity to pivot, reskill, or even have a conversation before the decision was made. When you remove agency entirely, you don’t just lose the people you cut. You change the psychological contract for everyone who stays.
Be able to spend most of their day doing work they love and do well. 1,600 people just lost the ability to do the work they chose. For those who remain, the work is about to fundamentally change — new priorities, new leadership, new expectations. The work they signed up to do may no longer exist, even if their role technically survives.
The 9 Currencies of Choice don’t get suspended during hard decisions. That’s when they get tested. And every future hire Atlassian needs is watching how they spent them.
What does the Atlassian layoff mean for its brand and customers?
When your employer brand takes a hit of this magnitude, the product brand follows. Atlassian serves over 300,000 companies who chose those tools partly because of the brand values. Enterprise software decisions are trust decisions — and that trust has been damaged.
There’s one more dimension to this story that most commentary is missing, and it’s the one with the longest tail.
Those 300,000 companies embedded Atlassian’s tools into the daily workflow of their entire organisations. When your employer brand takes a hit of this magnitude, the question becomes: does the product brand follow?
Consider the ripple effects. Atlassian’s remaining employees — the ones who survived the cuts — are now operating in an environment of eroded trust, unclear direction, and heightened anxiety. The Glassdoor reviews make that explicit. These are the people building, maintaining, and supporting the products that 300,000 companies rely on.
Meanwhile, the customers themselves are navigating the same AI disruption. They’re watching how Atlassian handles this and drawing conclusions — not just about Atlassian as a vendor, but about what AI-driven “transformation” looks like in practice. Is this the future of the companies they partner with? Is this what it looks like when your vendor “pivots”?
Employer brand and product brand have never been as intertwined as they are in 2026. The empowered workforce isn’t just employees — it’s customers, partners, and investors who all have access to the same information, the same Glassdoor reviews, the same union statements, and the same pre-recorded video.
What should companies do instead of reactive AI layoffs?
Companies getting AI adoption right are starting with accessible AI applications, investing in workforce fluency, redeploying and reskilling talent rather than cutting it, and scaling to enterprise AI only once organisational readiness is established. The Carlyle Group achieved 90% AI adoption within months using this approach — with no mass layoffs.
Let me be clear: I am not arguing that Atlassian doesn’t need to change. The AI disruption facing the software sector is real, and standing still is not an option.
But there is a profound difference between reactive adoption and strategic transformation.
History rhymes here. During the Global Financial Crisis, organisations that implemented broad, indiscriminate layoffs were slower to recover in both market share and employer brand reputation than those that made targeted, capability-preserving adjustments. We are watching the same pattern repeat — but this time, with AI as the justification instead of a financial crisis.
The organisations I work with that are getting AI right are following a fundamentally different playbook. They’re starting with accessible AI applications — In-App AI embedded in tools they already use, and Everyday AI tools like Claude, ChatGPT, and NotebookLM — to build workforce fluency and demonstrate quick wins. They’re investing in their people’s ability to work alongside AI, not replacing them with the promise of it. They’re redeploying existing talent into higher-value roles as AI takes on routine work, providing the reskilling to make that transition real. And they’re scaling to enterprise AI only once organisational capability and data readiness are established.
The Carlyle Group, a global investment firm, is one example. They leveraged tools already in use — Microsoft Copilot and ChatGPT — and achieved approximately 90% AI adoption within months. AI literacy was embedded into onboarding. An AI champions network drove peer-to-peer capability building. Only after early results were validated did they invest in custom development. The outcome was measurable: faster decision-making, higher productivity, and a workforce that viewed AI as an enabler rather than a threat.
That’s what genuine transformation looks like. Not a pre-recorded video and 1,600 emails.
I wrote The C-Suite’s AI Playbook: From Pilot to Performance to give senior leaders a practical roadmap for exactly this — from selecting the right AI pathway, to building workforce fluency, to redeploying and reskilling talent, to establishing governance and scaling strategically. If the Atlassian story feels uncomfortably familiar, this is the alternative. Download it here.
What happens next with the Atlassian restructure?
The consultation period for Australian workers runs until March 19, 2026, with final terminations expected on April 2. Professionals Australia is demanding transparency about AI’s direct connection to the redundancies.
The market is watching whether the “AI-first pivot” translates to actual product differentiation or just cost reduction dressed in strategic language.
And 1,600 people are looking for work in a market that isn’t kind to job seekers right now.
For the rest of us — leaders, employees, investors, customers — this is the moment to ask harder questions about what we’re actually seeing when a company announces AI-driven layoffs.
Is it genuine transformation? Is it reactive cost-cutting wearing an AI costume? Is it both?
42% of CEOs don’t believe their company will survive the next decade on its current path. The ones that don’t make it won’t be the ones that failed to cut fast enough. They’ll be the ones that destroyed the trust, culture, and talent pipeline they needed to adapt.
The way you change tells the market everything about whether you’re building a future — or just buying time.
Frequently Asked Questions
How many people did Atlassian lay off in March 2026? Atlassian cut approximately 1,600 roles, or 10% of its global workforce, on March 11, 2026.
How were Atlassian employees told about the layoffs? CEO Mike Cannon-Brookes posted a blog and a 4-minute pre-recorded video. Affected employees received an email approximately 20 minutes later. They were given 6–12 hours of Slack access to say goodbye to colleagues.
Why did Atlassian lay people off? Atlassian cited the need to “self-fund further investment in AI and enterprise sales” and to strengthen its financial profile. Over 900 of the affected roles were in software research and development.
Is Atlassian profitable? Atlassian reported a net loss of $636 million for the twelve months ending December 2025 on an IFRS basis. However, the company posted $1.6 billion in quarterly revenue with 23% year-on-year growth. It generates positive operating cash flow on a non-IFRS basis.
What are Atlassian’s five core values? Open company, no bullshit. Build with heart and balance. Don’t #@!% the customer. Play as a team. Be the change you seek.
What is AI-washing? AI-washing is the practice of using AI as a convenient justification for workforce cuts that may be driven primarily by cost pressures, stock performance, or operational restructuring. OpenAI CEO Sam Altman used the term at the AI Impact Summit in February 2026.
What is the PwC 42% CEO statistic? PwC’s 2025 Global CEO Survey found that 42% of CEOs do not believe their company will be viable beyond the next decade without significant reinvention. The survey covered 4,701 CEOs across 109 countries.
What are the 9 Currencies of Choice? The 9 Currencies of Choice is a model developed by Kim Seeling Smith in 2010, reverse engineered from over 5,000 exit interviews, identifying the nine things people fundamentally need from their work experience. It is pressure tested annually against the latest international research.
Kim Seeling Smith is an award-winning Business Futurist who deciphers emerging trends across business, the workforce and leadership and helps organizations and individuals remain relevant, resilient and ready for anything. She developed the 9 Currencies of Choice in 2010 from reverse engineering over 5,000 exit interviews and has pressure tested it every year since against the latest international research. Her latest publication, The C-Suite’s AI Playbook: From Pilot to Performance, provides proven pathways to integrate AI, unlock talent potential, and lead with confidence. Download it here.
