April 2026 AI News

Pangram Labs reports that AI is transforming job searches, with many applicants using it to generate resumes and attend interviews, complicating recruitment.

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In a recent Robert Half survey, 65 of hiring managers said AI-generated resumes are creating challenges for their organization, while 89 per cent said it has increased workloads

In March, the US jobs market recorded 178,000 new jobs, marking little change from the month before, according to the Bureau of Labor Statistics. The anemic growth in job listings comes amid volatile policy swings from the White House, increased energy prices due to the US and Israel’s war with Ira…

Job-search experts think it’s fine to use AI to help with résumés, cover letters, and networking but to avoid some mistakes.

Recruiters say companies are swapping out employees for more skilled or lower-cost talent as hiring slows and budgets tighten.

The emergence of AI agents powered by large language models (LLMs) marks a pivotal shift toward the Agentic Web, a new phase of the internet defined by autonomous, goal-driven interactions. In this paradigm, agents interact directly with one another to plan, coordinate, and execute complex tasks on behalf of users. This transition from human-driven to machine-to-machine interaction allows intent to be delegated, relieving users from routine digital operations and enabling a more interactive, automated web experience. In this paper, we present a structured framework for understanding and building the Agentic Web. We trace its evolution from the PC and Mobile Web eras and identify the core technological foundations that support this shift. Central to our framework is a conceptual model consisting of three key dimensions: intelligence, interaction, and economics. These dimensions collectively enable the capabilities of AI agents, such as retrieval, recommendation, planning, and collaboration. We analyze the architectural and infrastructural challenges involved in creating scalable agentic systems, including communication protocols, orchestration strategies, and emerging paradigms such as the Agent Attention Economy. We conclude by discussing the potential applications, societal risks, and governance issues posed by agentic systems, and outline research directions for developing open, secure, and intelligent ecosystems shaped by both human intent and autonomous agent behavior. A continuously updated collection of relevant studies for agentic web is available at: https://github.com/SafeRL-Lab/agentic-web.

I recently interviewed a candidate whose behaviour during the interview left me genuinely surprised. A few minutes into our conversation, he mentioned that his internet connection was unstable and asked if he could turn off his camera. We agreed that, as these things happen, virtual interviews often come with technical challenges. However, from that moment […]

AI may be ‘minimally sufficient’ at most of your text work tasks by 2029, according to new MIT research. Here’s why that’s good news.