
Thanks to a dwindling supply of open roles, “one-click” applications, and the rise of artificial intelligence, it’s easier than ever to apply for a job. We’re all paying the price.
Job applications have become so easy that they are now creating problems for both employers and job seekers. AI tools now allow applicants to generate customized resumes and cover letters instantly, while browser extensions and job platforms enable applications with just a few clicks, causing recruiters to receive thousands of applications per job posting. This flood of low-quality and AI-generated applications makes it harder for qualified candidates to stand out and forces recruiters to spend enormous time filtering through submissions, while simultaneously many job seekers report difficulty finding positions despite record application volumes. To address this, some recruiters and platforms are now deliberately adding friction to the application process, such as screening interviews conducted by AI, in hopes of reducing the number of unqualified or fraudulent applications and making hiring more manageable.

Runable says 60%–70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.

Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.

Perplexity has released Portable Computer, a local-first build of its agentic Computer platform that runs the agent harness, orchestrator, planner, tool router and post-trained models directly on NVIDIA DGX Spark. The local model, inference engine, tool sandbox and app connectors ship as one packaged system, every task begins on the device, and work handled by local models carries no per-token charge. When a step needs the live web or frontier reasoning, the orchestrator stops and asks before s
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