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Companies spending big on AI are shockingly boosting junior hiring by 12%

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Everyone was ready to bury entry-level tech careers under a mountain of robotic doom, but fresh numbers show corporations burning cash on neural networks are actually expanding their teams faster than ever.

A joint report from fintech platform Ramp and employment analytics firm Revelio Labs, spotlighted by TechCrunch, cross-referenced corporate expense ledgers with payroll records across nearly 22,000 businesses. Companies spending aggressively on artificial intelligence expanded their total workforce by 10.2%, while junior and entry-level positions surged by 12%.

This hiring wave stands in stark contrast to the broader corporate bloodbath, where American employers linked roughly 90,000 announced layoffs to automated technology since January, and consultants at Boston Consulting Group warned that software could wipe out up to 15% of U.S. roles within five years. Apparently, handing a chatbot some office busywork has not turned human juniors into obsolete decorations just yet.

The threshold required to count as an active adopter was surprisingly modest: spending an average of just $30 per employee each month on smart tools. That expenditure represents little more than a couple of premium corporate software subscriptions rather than an all-out robotic overhaul of internal workflows.

Headcount growth spread across software engineering, customer support, sales, administration, marketing, finance, and research. The strongest hiring spike landed squarely in tech, internet services, and digital media, where cheaper code generation and automated debugging paradoxically raised the return on expanding every other department.

The underlying data comes with a massive caveat, as the tracked sample leans heavily toward venture-backed knowledge-economy firms that were already flush with cash and scaling fast. Meanwhile, contrasting data from Goldman Sachs suggests automated tools are eliminating around 16,000 positions per month across the wider economy, hitting early-career Gen Z workers the hardest.

The workplace apocalypse looks far less like an algorithmic purge and far more like an extreme wealth divide between well-funded tech darlings and the rest of the struggling economy. High-tech digital helpers are not magically slaughtering entry-level roles—they are simply multiplying wherever venture capital was already overflowing.

Source: TechCrunch

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