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Meeting the Demand for Skilled Workers: How Digital Recruiting is Bridging the Gap in Infrastructure Projects

Construction of a federally funded bridge in Stamford, Connecticut (1)              
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By Taggd Editorial Team

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Introduction

India’s core sector saw an impressive growth of 6.1% in the past year, contributing nearly two-fifths to the Index of Industrial Production (IIP). Key industries like steel, coal, energy, and cement continue to fuel India’s economic growth, powered by strong government investments and rising demand for infrastructure projects. However, a critical issue remains: the growing skills gap.

With the evolving needs of India’s core industries, adopting digital recruitment has become more important than ever. Technological advancements are reshaping the sector, and recruitment practices are adapting to keep pace. Here’s how digital recruitment is making a difference.

Digital Recruitment in Core Industries

The increasing dependence on technology is modifying how organizations approach hiring, and our recent research for the India Decoding Jobs Report 2025 highlights that adopting digital tools and AI in the recruitment process will be the way forward. While many companies in core sectors have yet to fully embrace these innovations, those that do are gaining a significant edge.

Key Trends in Digital Recruitment

 

  • AI-powered Hiring

An increasing number of companies in core industries are utilizing AI to enhance their recruitment processes. From screening resumes to conducting preliminary interviews, AI is revolutionizing the way talent is hired. These AI tools help shorten recruitment timelines and improve candidate matching, creating a more efficient process for all parties involved.

  • Automation and Data Analytics

Automation is relieving recruiters of repetitive tasks like tracking candidates or posting jobs. Additionally, data analytics tools are helping recruiters make smarter decisions by tracking recruitment metrics, analyzing trends, and even forecasting future talent needs.

Why Use AI to Recruit?

On an average, recruiters spend around 11 hours a week on tasks like scheduling interviews or posting job openings. By using automation, companies can free up time, increase productivity, and improve team performance, all while cutting down on repetitive work.

  1. Pre-Screening and Skill-Assessment

Recruiting is a time-intensive process, and teams spend a significant amount of time on repetitive tasks such as reviewing resumes, evaluating cover letters, and conducting reference checks to find the best candidates. To streamline this, many teams are turning to skills-based assessments. These assessments focus on candidates’ practical skills rather than just resume achievements.

The benefits are clear, faster screening, reduced costs, better candidate experiences, and more reliable hires.

  1. Streamline Job Posting

Tasks like analysis, creating candidate profiles, and formalizing requirements are extremely excruciating and might even be monotonous. Then added to it is the time-consuming job of advertising across multiple channels.

AI platforms can streamline this process by submitting job postings to multiple channels with just one click. Candidates are seamlessly integrated into your talent management system, saving time, and simplifying the recruitment process.

  1. Automate Interview Scheduling

Scheduling interviews can be time-consuming, often taking anywhere from 30 minutes to several hours. Recruitment software simplifies this by automating the scheduling process and eliminating back-and-forth emails.

With features like automated group interview scheduling, time-zone-based invites for remote workers, and automatic reminders, companies can save up to 40% of their time and reduce time spent on rescheduling time by 4x, helping recruitment teams streamline operations and improve efficiency.

  1. Automated Background Checks

Background and security checks are crucial, but they can be both time-consuming and expensive, with manual reviews prone to errors or bias. Automated tools address these issues by reducing bias and accelerating the process. They utilize a proprietary data network that merges public and private sources to create a comprehensive background profile. The AI-driven content classification engine swiftly categorizes criminal charges, cutting down manual review time and ensuring adherence to local regulations.

  1. Candidate Relationship Management

Candidate experience is crucial for attracting talent, but companies often face difficulties due to time limitations and conflicting priorities. AI can streamline the process by automating tasks such as follow-ups, document collection, scheduling, and resume screening, while personalizing communication and boosting response rates through multi-channel messaging.

Future Outlook

Digital recruitment is reshaping the hiring scene in India’s key industries. By adopting innovative technologies, companies can optimize their recruitment processes, tap into a broader talent pool, and address the needs of a fast-changing workforce.

Download our India Decoding Jobs Report 2025 today.

Please reach out to us at marketing@taggd.in for any other queries!