The post ‘Jobpocalypse’ elevates case for on-chain credentials appeared on BitcoinEthereumNews.com.

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial. Not to sound the doomsday alarm prematurely, but the so-called ‘jobpocalypse’ isn’t a distant threat; the early signs are here right now. It’s no longer just lean startups trimming headcount or ‘restructuring’. Across the industry spectrum, well-capitalized companies are downsizing, freezing hiring, and ruthlessly prioritizing AI-driven efficiency gains. Summary AI-driven layoffs are accelerating a ‘jobpocalypse.’ Over 37,000 U.S. roles have already been displaced by automation in 2025, as companies prioritize efficiency and cost-cutting over retraining and human adaptability. Traditional hiring models are breaking down. With AI-generated résumés and unverifiable claims flooding the market, trust-based recruitment is collapsing — especially in global, remote-first industries like crypto and web3. On-chain credentials offer a trust reboot. Verifiable, blockchain-based professional records could redefine hiring by authenticating skills, reducing costs, and creating a transparent “proof-based” labor market where reputation becomes programmable capital. It was reported last month that in September 2025 alone, U.S. companies cut around 7,000 jobs as a direct result of AI deployments, exacerbating what was already a fairly harsh hiring/firing environment. Automation is hoovering up jobs at a staggering rate, and during 2025 so far, roughly 17,375 positions have been eliminated in the U.S. due to the proliferation of AI, with another 20,219 lost to broader ‘technological updates.’ Together, that’s more than 37,000 roles displaced by tech, underlining the growing urgency for workers to prove their adaptability and for employers to rethink how they measure and verify human skills. New research from BSI also points to growing red flags around AI’s impact on the job market, especially for entry-level workers. The study found that many companies are leaning toward automation as a way to cut staff, rather than reinvesting…

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Filed under: News - @ October 26, 2025 5:21 pm