The tech industry is facing unprecedented layoffs in 2026, with over 100,000 jobs lost as companies like LinkedIn, Cisco, and PayPal reduce their workforce despite an increase in spending on artificial intelligence (AI). LinkedIn's recent cut of 875 employees reflects a broader trend, as firms prioritize AI investments, projected to reach nearly $725 billion this year, up from $410 billion in 2025. Amid these layoffs, a new category of engineers—AI translators—has emerged as highly sought after. These professionals are essential for integrating AI into existing business systems, as companies increasingly prefer seasoned individual contributors over large management teams. The shift is redefining the skills needed for job security in tech; communication and collaboration are now as crucial as technical abilities. While senior-level tech positions are growing, entry-level hiring is declining, signaling a preference for experienced candidates. Notably, Amazon Web Services plans to hire 11,000 interns and early-career engineers, though such initiatives are rare. This evolving landscape suggests that proficiency in AI will be vital for job retention in the tech sector.