Jindal Steel Award 2026
Jindal Steel Award has brought recognition to India’s steel industry after Jindal Steel Limited won the 2026 Steelie Award in the “Excellence in People” category. The company received the award for its workplace safety programme, “Dakshata Engineering Safety: One Duty Position at a Time”. The World Steel Association announced the winners of the 17th Steelie Awards on 12 October 2026 in New Delhi.
The award recognises the company’s approach to improving employee safety through role-specific training, practical skill development and competency checks. Instead of providing the same safety training to every worker, the Dakshata programme focuses on the duties and risks linked to each job position. This approach aims to ensure that employees understand the safety requirements of their work before they begin their assigned tasks.
What Is the Steelie Award?
The Steelie Awards are presented by the World Steel Association, also known as worldsteel. The association is an international industry body representing the steel sector. Its members include steel producers, national and regional steel industry associations, and research institutes.
The awards recognise achievements by member companies in different areas of the steel industry. These include workplace safety, sustainability, communication, innovation and other activities that support the development of the sector.
In 2026, Jindal Steel received the award in the “Excellence in People” category. The recognition was linked to its Dakshata programme, which focuses on improving workforce skills and safety through training based on individual job responsibilities.
The award highlights the importance of protecting workers in industrial workplaces, where employees may face risks from heavy machinery, high-temperature processes, moving equipment and other demanding work conditions.
What Is the Dakshata Engineering Safety Programme?
The Dakshata programme is a workplace safety initiative developed around the idea that every job has specific duties, skills and risks. Its full name is “Dakshata Engineering Safety: One Duty Position at a Time”.
The programme moves away from general safety instruction alone. It identifies the knowledge, practical abilities, emergency readiness and safe working behaviour required for each duty position.
For example, employees working with machinery may need to understand operating procedures, equipment hazards and emergency shutdown methods. Workers assigned to other tasks may require different safety skills depending on the equipment they use and the risks they face.
By linking training to specific duties, the programme aims to make safety preparation more relevant to each employee’s work.
How Competency-Based Safety Training Works
A key feature of the Dakshata programme is competency-based training. This means that employees are assessed on whether they have the knowledge and skills needed to perform their duties safely.
The process includes several stages.
1. Identifying Job Requirements
The first step is to identify the safety knowledge and practical skills needed for each duty position. This helps establish what an employee must understand before carrying out a task.
2. Assessing Employee Skills
Employees are assessed to determine whether they meet the required safety standards. The assessment can help identify gaps in knowledge, practical ability or emergency preparedness.
3. Providing Targeted Training
When a gap is identified, the employee receives training focused on the specific area that needs improvement. This makes the learning process more closely connected to the employee’s actual responsibilities.
4. Reassessing Competency
After training, the employee’s skills are assessed again. The programme requires proficiency to be checked before deployment, helping ensure that workers are prepared for their assigned duties.
This cycle of assessment, training and reassessment is central to the programme. It connects employee preparation with defined safety requirements rather than relying only on attendance at a training session.
Safety Performance at Raipur Machinery Division
The Jindal Steel Award also draws attention to safety activities at the company’s Raipur Machinery Division. During the financial year 2025–26, the division recorded 17,752 safety observations.
These observations were used to identify workplace conditions and practices that could require attention. Regular safety observations can help organisations identify potential hazards, review working methods and take action to reduce risks.
The division also reported eliminating or mechanising 379 high-risk tasks during the same financial year. Mechanisation involves using machinery or automated processes to replace or reduce direct human involvement in selected activities.
Reducing workers’ exposure to high-risk tasks can form an important part of industrial safety management. However, machinery and automated systems also need suitable operating procedures, maintenance and worker training.
The reported figures relate specifically to the Raipur Machinery Division during FY 2025–26 and should not be treated as figures for every Jindal Steel facility.
Role of Artificial Intelligence in Workplace Safety
The Raipur Machinery Division used AI-enabled workplace observations to support its safety programme. Artificial intelligence can help organisations analyse information from workplace observations and identify patterns that may require further review.
In industrial settings, digital tools may support the monitoring of work practices, the identification of unsafe conditions and the collection of information for safety reviews. Such systems can help safety teams decide where closer attention or corrective action may be needed.
However, technology works best when combined with trained employees, clear safety rules and proper supervision. AI-enabled observations do not replace the need for workers to understand hazards, follow safe operating procedures and report dangerous conditions.
The use of AI in the Dakshata programme reflects the growing role of digital tools in industrial operations. Companies across manufacturing and heavy industry are increasingly exploring ways to combine technology, worker training and risk management.
Why Role-Specific Training Matters in the Steel Industry
Steel production and machinery operations involve many different job roles. Each role may have its own equipment, work procedures and safety risks. A single general training programme may not cover every skill an employee needs for a particular task.
Role-specific training helps workers understand the hazards they are likely to encounter. It can also make it easier for supervisors to identify training gaps and check whether employees are ready to carry out their responsibilities.
Competency checks are especially important where mistakes can lead to injuries, equipment damage or interruptions to production. Employees need both theoretical knowledge and practical skills to follow safety procedures correctly.
The Dakshata programme places these requirements at the centre of employee preparation. Its recognition through the Steelie Awards brings attention to the relationship between workforce development and industrial safety.
Importance of the Jindal Steel Award
The Jindal Steel Award recognises the company’s Dakshata initiative under the “Excellence in People” category. The programme combines job-specific learning, competency assessment, targeted training and reassessment before deployment.
The reported safety activities at the Raipur Machinery Division also show the use of workplace observations, AI-enabled tools and mechanisation to address risks. During FY 2025–26, the division recorded 17,752 safety observations and eliminated or mechanised 379 high-risk tasks.
The recognition highlights an important issue for the steel sector: workplace safety depends not only on rules and equipment but also on whether employees have the skills and preparation required for their duties. Training that reflects actual job responsibilities can help organisations build a more structured approach to managing industrial risks.
