Last month, I spent a Tuesday evening doing two things almost simultaneously. First, I typed a prompt into ChatGPT and watched it produce a coherent, well-structured explanation of a concept I'd been struggling to articulate for weeks. Then I switched to a Slack channel where a friend was processing the news that her entire team at Meta had been laid off. That whiplash, the thrill of what's coming and the grief of what's ending, defined 2022.
The creative explosion
This was the year generative AI went from niche to mainstream.
In April, OpenAI unveiled DALL-E 2, which could generate remarkably detailed images from text prompts. In July, Midjourney entered open beta, putting AI art generation in the hands of anyone with a Discord account. In August, Stable Diffusion was open-sourced, unleashing an explosion of community-built tools and applications.
Then, on November 30, OpenAI released ChatGPT. It reached one million users in five days. For context, it took Instagram two and a half months and Netflix three and a half years to reach the same milestone.
The pace was staggering. In January, most people outside of AI research had never heard of a large language model. By December, your uncle was using one to write Christmas card messages. The technology didn't just improve in 2022. It escaped the lab.
The reckoning
Meanwhile, the industry that built these tools was in crisis.
Roughly 93,000 U.S. tech workers were laid off in 2022. Meta cut 11,000 people, its first mass layoff ever. Amazon announced approximately 10,000 cuts. Stripe, Lyft, and dozens of others followed.
Twitter's story was its own category of chaos. Elon Musk acquired the company in late October and immediately laid off roughly half the staff, gutting teams across trust and safety, engineering, and communications. What followed was a public experiment in how quickly you can dismantle institutional knowledge.
And then there was crypto. FTX collapsed in November, taking billions in customer funds and what remained of mainstream crypto credibility with it. The company that had been running Super Bowl ads ten months earlier was filing for bankruptcy.
These are the same story
It's tempting to treat the AI boom and the tech reckoning as separate narratives. One about possibility, the other about hubris. But they're connected.
The layoffs reflect years of overcapacity, fueled by cheap money and the assumption that growth would continue indefinitely. Companies hired as if 2021's conditions were permanent. When they weren't, the correction was brutal.
The AI breakthroughs represent something different: genuine technological progress that changes what's possible. But they also emerged from the same culture of massive investment and moonshot ambition that produced the excess. The question isn't whether generative AI is real. It clearly is. The question is whether the industry has the discipline to build on it without repeating the cycle of overcapacity and correction.
What 2022 leaves behind
This year was humbling and exhilarating in equal measure. The industry lost jobs, credibility, and some of its swagger. But it also produced tools that will reshape how we create, communicate, and build for years to come.
The question going into 2023 isn't whether AI changes everything. It's whether we've learned enough from this year's reckoning to build what comes next with more discipline than what came before.