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Hans India
3 days ago
- Business
- Hans India
Beyond resumes: How Gen AI is redefining recruitment
Recruitment is undergoing a tech revolution, with HR leaders embracing generative AI at every stage of hiring. From context-driven resume screening to AI-enabled interviews and adaptive assessments, the technology is boosting efficiency, accuracy, and candidate experience. As tools like and HireVue take the lead, recruiters are finding more time to focus on what matters most: understanding people beyond the paper HR professionals are proving to be some of the keenest adopters of generative AI technology. According to recent research by Gartner, 38% of HR leaders are already piloting, planning, or implementing Gen AI initiatives. With use cases spanning resume screening, candidate engagement, assessments, and internal operations, generative AI is quickly becoming a valuable partner in the recruitment process. As organizations explore its growing capabilities, AI is set to reshape how talent is sourced, evaluated, and managed—enhancing efficiency while keeping human judgment at the core. Impact of Gen AI on recruitment Recruitment is seeing a change with AI-driven tools optimizing various aspects, from application tracking to candidate engagement. Traditional applicant tracking systems (ATS) have long relied on keyword matching and fixed filters to screen resumes. While they are efficient at handling large volumes, they often miss qualified candidates who do not use the exact terms expected. Generative AI is shifting this approach by focusing on context and intent rather than just word matches. For instance, LinkedIn Recruiter's AI assistant can identify candidates with transferable skills and relevant career progressions—even if their job titles don't directly match the role. A data analyst might still be a strong fit for a business intelligence position based on their tools and outcomes. Platforms like take it further by reading between the lines. If a candidate led a CRM migration, the system can infer related skills such as data integration, change management, and customer lifecycle strategy—even if these are not explicitly mentioned. Some tools also generate plain-language summaries of candidate profiles, giving recruiters a quick, clear snapshot of strengths without needing to decode jargon. Others, like HireVue, enhance the process with AI-integrated video interviews to assess communication skills and simulate real-world scenarios. Gen AI based automated proctored assessments Once candidates are shortlisted, they undergo written tests to evaluate aptitude, technical knowledge, and behavioral traits. These tests go beyond technical proficiency—they also assess cultural fit, adaptability, and problem-solving ability. For instance, Capgemini uses AI-powered assessments to evaluate domain expertise and cognitive skills, resulting in a 40% improvement in hiring efficiency. However, Gen AI-based assessments bring a deeper layer of intelligence and adaptability to the process. Unlike traditional AI, Gen AI systems are capable of learning continuously, recognizing patterns, making contextual decisions, and evolving over time—similar to human cognition. This means Gen AI can detect subtle anomalies, adapt to new test-taking behaviors, and refine its proctoring mechanisms with each session. For example, it can use facial recognition to flag impersonation attempts, or analyze eye movement, facial expressions, and typing patterns to detect potential cheating. Over time, these models become smarter, making the evaluation process more secure, unbiased, and scalable. Gen AI-enabled interviews AI is reshaping interviews through automated scheduling and AI-led interactions. Platforms like Incruiter use natural language processing (NLP) to assess responses for tone, confidence, and coherence, offering recruiters structured insights. For example, Unilever's AI-driven interviews evaluate facial expressions, speech patterns, and word choice—cutting hiring time by 75%. Gen AI builds on this by enabling adaptive, dynamic interviews. Instead of asking preset questions, the system can tailor follow-ups based on a candidate's previous answers. It recognizes context, adjusts in real time, and improves with each interaction. For example, HireVue uses Gen AI to simulate real-world scenarios, offering role-specific questions and evaluating not just what candidates say, but how they think and respond under pressure. Rise of agentic AI in HR AI is progressing beyond assistance to autonomous execution. Agentic AI independently handles multi-step HR tasks—such as sourcing, screening, and scheduling—minimizing manual input. HireVue, for example, uses asynchronous AI interviews to evaluate candidates using speech and facial analysis. Goodspace AI monitors employee wellness, predicts engagement drops, and suggests interventions. SourceBae deploys agentic AI to autonomously source and vet tech candidates. In one case, a mid-sized tech firm seeking React developers used Agentic AI to source 80 candidates, screen 30 via chatbot-led interviews, and schedule 10 for finals—cutting recruiter workload by 60% and time-to-hire by 40%. These systems also support retention and workforce planning by learning continuously, making them particularly valuable in fast-growing or lean HR environments. Generative AI is set to permeate the entire recruitment lifecycle—from screening to onboarding—playing a key role in driving both productivity and quality in hiring. Routine tasks and standard activities will increasingly be handled by AI, allowing HR professionals to focus on high-value areas such as behavioral assessment, cultural fit, and strategic decision-making.
Yahoo
14-05-2025
- Business
- Yahoo
Beamery Announces Integration With LinkedIn CRM Connect to Power a Unified Talent Ecosystem With Actionable Candidate Data
New integration empowers talent teams to streamline sourcing and deliver greater ROI from HR tech investments LONDON, May 14, 2025--(BUSINESS WIRE)--Beamery, the leading AI talent platform, today announced the availability of the LinkedIn CRM Connect integration. This integration connects Beamery to LinkedIn Recruiter to help talent professionals simplify the hiring workflow, save time building talent pipelines, and nurture candidate relationships with up-to-date talent data from LinkedIn, the world's largest professional network. The launch marks a significant milestone in helping organizations unlock greater value from their existing HR technology investments, by creating a seamless experience across two of the most frequently used tools in the recruiter's workflow. This integration – which is accessible for no additional platform fees to customers who are LinkedIn Recruiter seat-holders – allows talent teams to manage candidate data seamlessly across LinkedIn Recruiter and Beamery: creating a unified, up-to-date source of truth that improves decision making, outreach, and operational efficiency. "LinkedIn's Hiring integrations are driven by our partner ecosystem, and we are excited to launch this integration with Beamery," said Larry Nelson, Head of Talent Partnerships at LinkedIn. "LinkedIn CRM Connect empowers recruiters to focus on sourcing and nurturing candidates with the right data, whether in LinkedIn Recruiter or Beamery." Previously, recruiters had to toggle between systems, manually logging outreach and copying candidate information – leading to duplicated efforts, wasted time, and inconsistent candidate data across systems as profiles change over time. LinkedIn CRM Connect gives recruiting teams the ability to: Export candidate profiles from LinkedIn to Beamery with one click Access LinkedIn profiles without switching platforms Automatically sync InMails and candidate updates across systems View Beamery CRM insights directly inside LinkedIn Recruiter This seamless integration means less manual work and more time spent engaging great talent – and this goes beyond streamlined workflows to unlock a whole new level of recruiting intelligence. "We're thrilled to be early adopters of the new integration between Beamery and LinkedIn. It's already helping us connect our sourcing and CRM workflows in a way that feels intuitive for our team. This is a meaningful step toward getting the most out of our existing investments in our tech stack," said Beamery customer Juan De Amezaga, Global Director, Talent Intelligence and Talent Channels, Uber. The launch comes at a time when many HR teams are looking to consolidate tools and boost ROI. According to Gartner, only 24% of HR employees say that their organization's HR function is deriving maximum value from HR technology – and two out of three believe that if they don't take action to improve HR's approach to technology, their function's effectiveness will decrease. Beamery's integration with LinkedIn Recruiter helps solve this challenge by ensuring candidate data is connected, consistent, and visible across tools. Recruiters can now instantly see all available information about a candidate or potential candidate, view interaction history, manage their pipeline and recruiting events, and avoid duplicating outreach – all within Beamery. "This launch is a huge win for recruiting teams," said Sultan Saidov, Co-Founder and CEO at Beamery. "We're making it easier for companies to take action on the right candidate data at the right time, while maximizing the value of their existing investments in platforms like LinkedIn. This new partnership moves beyond enabling ease of use and productivity for talent teams – it creates one of the first connected skills and AI solutions in the industry. This is now critical to our mutual customers in order to make fair and informed decisions across the talent lifecycle." About Beamery Beamery is an AI-powered platform that helps enterprise organizations make smarter talent decisions, by putting skills intelligence at the core of their people strategy. Our technology for HR teams empowers businesses to transform their workforce, unlock the potential of their people, and hire top talent faster. Companies use Beamery to connect talent plans to business goals, reduce risk, and navigate change with confidence. We are proud to be building a more inclusive, skills-based economy, where everyone has equal access to work opportunities. For more information, visit or email press@ View source version on Contacts press@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Express Tribune
14-05-2025
- Business
- Express Tribune
Microsoft to cut 6,000 jobs globally
Listen to article Microsoft announced on Tuesday that it will lay off approximately 6,000 employees, or nearly 3% of its global workforce, in a broad restructuring move aimed at reallocating resources toward artificial intelligence and data infrastructure expansion. The cuts will affect staff across multiple departments including LinkedIn, Xbox, and core software engineering units, marking the company's largest round of layoffs since 2023. Microsoft, which employed 228,000 people as of June last year, said the move is necessary to align operations with its long-term strategic priorities, particularly in AI. A Microsoft spokesperson confirmed the decision, stating: 'We continue to implement organisational changes necessary to best position the company for success in a dynamic marketplace.' The tech giant added that the layoffs are not related to performance reviews and will span across all levels and geographies. The move follows Microsoft's robust Q1 earnings, buoyed by strong Azure cloud growth. However, the company's AI infrastructure investment—set to hit $80 billion in capital spending this fiscal year—has created pressure on profit margins, prompting cost-cutting across other divisions. LinkedIn, which contributed $15.5 billion in revenue in 2024, is among the most affected units. Reductions here could slow updates to recruitment tools like LinkedIn Recruiter and LinkedIn Learning, raising concerns about the platform's effectiveness in a tightening job market. Industry analysts suggest Microsoft may need to maintain annual headcount reductions to offset rising depreciation from AI-driven capital expenditure. This wave of layoffs follows similar job cuts across the tech sector, including at Google and Amazon, as firms prioritise AI expansion while safeguarding profits.
