Atlassian’s Layoffs are AI-Inspired

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What are the reasons behind Atlassian's layoffs?

Layoffs because of AI seem to keep coming. This is Motley Fool Money.
Welcome to Motley Fool Money. I'm Tyler Crowe. Today, I'm joined by longtime Fool contributors, Matt Frankel and John Quast. It's a bit of a smorgasbord of a show today. We're going to look at the math behind the release of the Strategic Petroleum Reserve and a little bit of the update on the oil situation in the markets right now. We're going to do a quick check on retail company Dollar General. But first, we want to take a look at Atlassian. Earlier today, the company made a decision that they were going to have a rather large round of layoffs. As we're taping, shares are up about 0.4%, so not really much of a huge market reaction, almost like, yeah, we were expecting this. John, you dug into the numbers for us.
Give us a brief rundown of what Atlassian is planning and what were your knee-jerk reactions to the decision? I think most of the time, this wouldn't be considered a large layoff necessarily, roughly 10% of the workforce. But for Atlassian, this is a massive shift in how it has talked about its employee workforce in the past.

How is AI influencing workforce reductions in tech companies?

I just want to do a little bit of... basically go back in time. If you look at the headcount for Atlassian back at June 30th, 2021, the reason I'm choosing June 30th is because its fiscal year is a little bit wonky. That's the end of its fiscal 2021. It had just over 6,400 workers. By the end of the next fiscal year, it had over 8,800 workers. That's an increase of 37% in a single year. This was at a time when tech companies were laying off. This is coming out of the pandemic. A lot of these companies saying, hey, we over-hired, now we need to right-size. In the 2023 letter to shareholders, Atlassian's management said, Tech's labor market is such right now that we're able to hire amazing talent who might not otherwise be available.
Essentially, what they were saying is, as these other companies lay off, we are picking up these quality hires that we wouldn't be able to pick up otherwise. It's kept that ethos in its company, if you will, of hiring, hiring, hiring. The second quarter of last year, 12,750 workers.

What challenges do SaaS companies face in an efficient market?

Now, the second quarter of this year that it just reported, over 14,600 workers. That's another 15% increase in a single year. Nearly 1,900 hires in the past year. Now they just released a letter saying, hey, we're going to let go 1,600 workers, which is fewer than what they've hired in the past year. But it says that we're doing this to self-fund further investments in AI and enterprise sales. But just so interesting that it's a massive... I'd say, reversal of what its hiring policy has historically been. Yeah. This is one of those eye of the beholder sort of things. I think about what they're saying to the market and why they may be actually doing this. Matt, I want to ask this to you. This layoff at tech has been a common narrative we've seen over the past year, two years, going back to 2023, as John was alluding to.
One of the things I can't quite parse out of this, though, is, do we really believe the narrative is like, AI is making this more efficient, and therefore we can cut payroll? Or is it more of a, hey, we probably overhired over the past five years, and this is giving us an excuse to do layoffs by just stamping the word AI on top of it? I mean, it's a little bit of both, if you ask me. We've seen this elsewhere recently. Block is the biggest example that I know of recently. They laid off 40% of their staff in one swoop, supposedly because of AI productivity gains. Yes, there's some of that. AI has automated some tasks that you used to have to pay people to do and combine a few jobs into...

How does the Strategic Petroleum Reserve release impact oil prices?

into fewer jobs. Atlassian, like John said, is only letting go about 10% of their workforce. It's less than the amount of workers they added over the past year alone. It does beg the question of whether they hired too aggressively, especially in a year when really the writing was on the wall for AI advancements, automating tasks, like I just mentioned. So reading between those lines a little bit, I think Atlassian might be in panic mode just a little bit

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