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Medial • 8d
Amazon's 2026 layoffs mark a turning point in how large tech firms approach efficiency and scale. The decision to cut 30,000 roles reflects a strategic recalibration toward leaner, more resilient operations. It signals that the era of hypergrowth is giving way to one focused on operational discipline and sustainable performance. Automation and artificial intelligence now sit at the core of this transition. They are reshaping workforce structures, reducing redundancy, and redefining the boundaries between human capability and machine optimization. For employees, this moment underscores the growing value of adaptability and cross-domain learning. Technical fluency alone is no longer enough. Continuous reinvention will define long-term career stability in the next phase of the digital economy. While the immediate impact may appear unsettling, the broader trend points toward a maturing industry learning to balance growth with resilience. The global tech ecosystem is evolving, and its future will belong to those who can evolve with it.

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Free AI courses from Anthropic!! Anthropic has released a set of free courses that explain AI fluency in simple, structured ways. Worth checking out whether you’re teaching, learning, or just trying to catch up with the basics. 1) AI Fluency: Frame
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Unlock the secrets to hypergrowth in early-stage startups with our latest video, "Beyond the Napkin: Engineering Business Models for Startup Hypergrowth!" 🚀 Dive deep into the essential components of crafting a robust business model that goes beyond
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Hello everyone! 👋 I'm John, and I know a little bit of Python. Recently I’ve become really interested in machine learning and AI, but I honestly don’t know how to start, what to learn first, or which roadmap to follow. If anyone here could guide m
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