| THE BIG STORY
Good news for tech |
| It’s been a tough go for tech folks this year. A brutal 2022 saw valuations plummet for startups and giants alike, leading to an initial wave of layoffs.
The tech industry was on shaky ground entering 2023. And it wasn’t long before Big Tech made deep cuts to its workforce. More than 300,000 employees at tech companies were laid off in the first half of the year.
But all that is in the rearview mirror, at least according to tech analysts from Bernstein Research, writes Insider’s Alistair Barr. In a recent email to investors, the analysts called an end to the tech job recession and pondered when hirings will reaccelerate. |
| Monthly job cuts across the tech industry. Bernstein Research, Trueup.io
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| A big piece of the tech turnaround is due to the generative AI boom, initially spurred by OpenAI’s ChatGPT. Companies are now scrambling for talent, with some offering salaries as high as $900,000 for AI specialists.
But it’s not all sunshine and rainbows in the world of AI. Storm clouds are forming that could rain on the AI parade and, as a result, the broader tech industry.
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- Chip conundrum: Nvidia’s GPUs are key to AI development, leading its stock to skyrocket more than 200% this year. But keeping up with demand hasn’t been easy. Complicating matters is Nvidia’s partnership with Tawain-based TSMC. The world’s largest chipmaker delayed plans to open an Arizona factory due to a dispute with US workers. Nvidia’s earnings report next week should clarify how it’s meeting demand. But the risk that Nvidia poses as a key supplier of the wider AI industry remains.
- Training troubles: Another thorn in generative AI’s side is training. Large language models require massive amounts of text to learn and evolve. But they’re running out of stuff to read, and some companies face lawsuits from authors alleging copyright infringement. Meanwhile, sourcing new forms of training data could prove difficult as companies look to protect their data against being used for training.
- Overly optimistic: Calling generative AI an overhyped bubble feels like a mischaracterization. It’s undeniable that the tech will profoundly affect everything in our lives. But the timeline remains to be seen, as previous assumptions about AI models haven’t always panned out. So if the AI expectations of tech companies — and their investors — are delayed, there could be more pain to come.
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