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Spinny’s take on the Great Hesitation

The Great Hesitation: When Silicon Valley Got Stage Fright

Or: How the Tech World Went From “Move Fast and Break Things” to “Move Carefully and Maybe Hire Someone Eventually”


So here we are, friends. Sitting in the middle of what some very serious people in very expensive suits are calling “The Great Hesitation.”

Now, I know what you’re thinking. “Great Hesitation” sounds like the title of a really pretentious indie film about a guy who can’t decide between oat milk and almond milk for his Tuesday morning latte. But no – this is actually the term they’re using to describe what happens when Silicon Valley collectively develops performance anxiety.

See, tech companies have gone from hiring like they’re at an all-you-can-eat buffet to hiring like they’re choosing a life partner. The process that used to take a few weeks now stretches out longer than a Matthew McConaughey acceptance speech. We’re talking two to three times longer than just a year ago.

The Rules of the Game Have Changed

Here’s the beautiful irony: an industry built on disruption has been thoroughly disrupted. Companies that once prided themselves on “failing fast” are now taking their sweet time deciding whether your seven years of Python experience is enough, or if maybe they need someone who also speaks fluent JavaScript, can debug quantum computers, and has a personal relationship with ChatGPT.

Where they used to want six or seven skills for a role, now they want ten or twelve – and those skills better align with AI. It’s like they’re not hiring employees anymore; they’re assembling Voltron.

The numbers don’t lie, even when we wish they would. Employment in tech fields dropped by around 214,000 jobs in April alone. That’s not a correction – that’s a reckoning.

The Waiting Game

Meanwhile, actual human beings are caught in this weird limbo. Take Steve Levine, a 54-year-old from Long Island who’s applied for around 50 jobs since January. “Lots of things that I’ve applied for and targeted that I’m very qualified for, I don’t get any response,” he says.

Steve’s story isn’t unique – it’s the new normal. Qualified people sending résumés into the void like messages in a bottle, hoping someone, somewhere, will notice they exist.

Here’s what’s really happening: companies have gotten gun-shy. Economic uncertainty has them clutching their hiring budgets like security blankets. They’re only filling “critical roles,” which apparently means roles so critical that they can afford to leave them empty for months while they search for the perfect candidate who doesn’t exist.

The AI Paradox

This is where it gets really interesting. The same AI technology that’s making companies hesitant to hire humans is also creating new hiring requirements. It’s like being afraid of rain while simultaneously demanding that all umbrellas be made by meteorologists.

AI experts – particularly those with advanced degrees or deep experience in data science and machine learning – find themselves in high demand. LinkedIn data shows hiring for AI roles has soared 640% over the past eight years. So if you’re one of the chosen few who can make machines think, congratulations – you’re basically tech royalty right now.

Everyone else? Welcome to the Great Hesitation, where your decade of experience might be less valuable than a weekend certification in prompt engineering.

The New Reality Check

Let’s be real for a minute. This isn’t just about economics or AI anxiety. This is about an industry that got drunk on its own success and is now dealing with the hangover. For years, tech operated like consequences were optional. Hire fast, scale faster, worry about sustainability never.

Now reality has shown up like an uninvited guest at a house party, and suddenly everyone’s pretending they always knew how to be responsible.

Even senior engineers, once comfortably assured of job stability, face heightened scrutiny. The people who used to job-hop with the confidence of someone picking items off a menu are now staying put, working overtime to stay relevant in jobs they might have quit last year.

What This Really Means

The Great Hesitation isn’t just changing how people get hired – it’s changing how they think about their careers. The “move fast and break things” mentality that defined Silicon Valley for decades has been replaced by something more like “move carefully and maybe break things if we’re really sure about it.”

Workers are investing in AI skills not because they love artificial intelligence, but because they’re afraid of becoming artificially irrelevant. Companies are hoarding talent while simultaneously being afraid to hire new talent. It’s a feedback loop of uncertainty that would be fascinating if it weren’t affecting millions of actual people trying to pay actual rent.

The Bottom Line

Here’s what I think is really going on: we’re witnessing the end of tech exceptionalism. For twenty years, the industry believed it was immune to normal economic rules. Turns out, gravity works in Silicon Valley too.

The Great Hesitation might be temporary, or it might be the new normal. Either way, it’s a reminder that even in an industry obsessed with predicting the future, nobody really knows what’s coming next.

But here’s the thing about hesitation – it’s often just fear wearing a business suit. And fear, while perfectly rational given the circumstances, has never been a great long-term strategy.

Companies will eventually need to hire people. Workers will eventually find their place in this new landscape. The Great Hesitation will end, probably when everyone realizes that standing still is just another way of moving backward.

Until then, we wait. We adapt. We learn to speak AI. And we remember that every economic shift, no matter how dramatic, is ultimately temporary.

The only constant in tech has always been change. Even when that change looks suspiciously like standing still.


The Great Hesitation: coming to a LinkedIn feed near you. Starring everyone who thought their computer science degree was recession-proof.

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