Can Asia Build a Future-Ready Energy Workforce? India’s Skills for LNG, Hydrogen and AI

Asia's energy industry is entering a workforce transition that is more complicated than simply hiring more people.

LNG infrastructure is expanding. Hydrogen projects are moving from policy discussions toward execution. Existing oil and gas facilities are adopting AI, automation and connected operations. At the same time, experienced industrial workers are being asked to operate technologies and processes that did not exist when many of their current training programmes were designed. This creates a difficult question for energy leaders:

Can Asia build a workforce that is ready for the energy assets being built today, not the assets of yesterday?

The answer will depend on more than classroom training or new certifications. Energy companies need ways to connect technical knowledge with realistic industrial environments, operational procedures, safety requirements and the equipment workers will actually encounter.

That is where India's workforce strategy has an important role to play, and where Gastech Thailand 2026 provides a timely backdrop for the conversation.

Why is Asia facing an energy workforce readiness challenge?

The energy transition is changing the skills required across the entire asset lifecycle. Traditional oil and gas expertise remains highly valuable. Process knowledge, mechanical engineering, electrical systems, instrumentation, maintenance and HSE experience do not become irrelevant because an organisation introduces hydrogen, AI or digital technologies.

The challenge is combining that existing knowledge with new capabilities.

Recent industry commentary from Ayush Gupta, Director - HR, GAIL highlights the need for oil and gas organisations to reskill their existing workforce for AI and new energy businesses. At the same time, industry coverage of India's clean-energy workforce highlights the need for technical skills, practical exposure and structured workforce development. This creates three overlapping workforce challenges:

• New skills: hydrogen systems, electrolysers, cryogenic handling, automation, data and AI.
• Reskilling: helping experienced oil and gas personnel transition into new operating environments.
• Practical readiness: giving workers realistic exposure before they interact with complex or hazardous equipment.

The third challenge is often underestimated. A worker may understand a procedure theoretically and still struggle when faced with unfamiliar equipment, spatial constraints, abnormal conditions or a complex sequence of actions. That is the gap between training completion and operational readiness.

What skills will LNG and hydrogen projects require?

The future energy workforce will not be defined by one new job category. Instead, existing industrial roles will increasingly require additional technical and digital capabilities. For LNG facilities, workforce requirements can include:

• Cryogenic equipment familiarisation
• LNG handling and storage procedures
• Process and equipment understanding
• Maintenance and inspection
• Emergency response
• Permit and safety procedures
• Control-room and field coordination
• Hazard recognition

Hydrogen introduces another layer of complexity. Depending on the project, personnel may need familiarity with electrolysers, hydrogen production systems, compression, storage, transportation, leak detection, process safety and associated electrical and control systems.

India's National Green Hydrogen Mission has placed capacity building and workforce development within the broader development of the country's hydrogen ecosystem. The Hydrocarbon Sector Skill Council also identifies green hydrogen as an emerging area for industry-oriented skills development. The implication for energy companies is significant:

The workforce cannot be treated as the final step after an energy project is designed.

Skills development needs to be considered alongside engineering, construction, commissioning and operational readiness.

Why is reskilling existing oil and gas workers so important?

Asia does not need to build its future energy workforce entirely from scratch. It already has millions of workers with valuable industrial experience. A refinery operator understands process environments. A maintenance technician understands equipment failure. An HSE professional understands hazard controls. An instrumentation engineer understands industrial control systems.

The opportunity is to build on this foundation.

For example, an experienced technician moving into a hydrogen facility may not need to relearn industrial maintenance from the beginning. They may instead need targeted training around the new equipment, hazards, procedures and operating conditions. This makes reskilling and upskilling strategically important. It can also reduce the dependency on finding large numbers of people who already possess every new skill combination.

Suggested Reads: VR Safety Training for the Oil and Gas Industry

Energy companies need to combine selective hiring with large-scale reskilling while building AI fluency and stronger workforce ownership. For CHROs and L&D leaders, the question therefore becomes less about training volume and more about:

How quickly can existing technical talent become competent in the next generation of energy operations?

Is classroom training enough for high-risk energy operations?

For many industrial procedures, knowledge alone is not enough. Workers need to understand where equipment is located, how components interact, what a procedure looks like in context and what could happen when something goes wrong. That is difficult to reproduce through manuals, presentations and conventional e-learning alone.

Consider a worker preparing to perform maintenance on unfamiliar equipment. A conventional course can explain the procedure. A realistic simulation can allow the worker to:

1. Locate the equipment.
2. Identify relevant components.
3. Follow the required sequence.
4. Recognise hazards.
5. Practise isolation procedures.
6. Respond to an abnormal condition.
7. Repeat the task until the workflow becomes familiar.

This is particularly valuable when live training access is limited, expensive or potentially hazardous. The goal is not to replace hands-on training. It is to make hands-on training more effective by ensuring that workers arrive with greater familiarity and procedural understanding.

How can XR make industrial workforce training more practical?

Extended reality can create a realistic training environment using the same spatial information that exists in an industrial asset.

A CAD or industrial digital twin environment can be transformed into an immersive training scenario where workers can explore equipment, practise procedures and experience operational situations before entering the live facility. For energy organisations, this can support:

• Equipment familiarisation
• SOP-based training
• Startup and shutdown procedures
• Maintenance sequences
• Emergency response
• Safety training
• Hazard identification
• Inspection procedures
• Field-work preparation

The important distinction is context. Instead of learning a procedure as an isolated sequence of instructions, workers can experience the procedure around the equipment and environment where it will eventually be performed. This is where immersive workforce training becomes part of a broader workforce-readiness strategy.

Suggested Reads: 3 Reasons why Virtual Reality is Mandatory for Industrial Training

What does a future-ready energy training programme look like?

A modern industrial training programme should connect four elements:

Knowledge → Simulation → Assessment → Field execution

• Knowledge establishes the fundamentals. Simulation provides realistic practice.
• Assessment determines whether the worker can perform the required task.
• Field execution validates that the learning transfers into the real operating environment.
• Digital technologies can strengthen each stage.

For example, a training team can convert standard operating procedures into interactive scenarios, place workers inside a spatially accurate plant environment and assess whether they follow the correct sequence. The same environment can then be updated when equipment, procedures or plant configurations change.

This creates a more sustainable approach than rebuilding training material from scratch every time the physical asset evolves.

Why should workforce readiness begin before commissioning?

One of the biggest opportunities exists before an energy asset becomes operational. During project development and construction, engineering teams already create detailed digital information about the future facility.

1. That information can support more than engineering review.
2. It can help prepare the workforce before the plant reaches full operation.
3. Operators can familiarise themselves with equipment locations.
4. Maintenance teams can study access routes.
5. HSE teams can review hazards and emergency scenarios.
6. Supervisors can rehearse procedures.

This means workforce preparation can run in parallel with project execution rather than becoming a final activity before startup. For LNG terminals, refineries, gas-processing facilities and emerging hydrogen plants, that can create a stronger connection between project readiness and workforce readiness.

Where do AI and digital twins fit into workforce development?

AI and digital twins can take industrial training beyond static simulations. A digital twin provides the spatial and engineering context. XR allows workers to interact with that environment. AI can add intelligence through contextual guidance, scenario generation, assessment or assistance during field activities. The resulting model is more powerful than a standalone training application:

One industrial asset can support design, validation, training, inspection and field execution.

This also creates an opportunity to reduce fragmentation between engineering and L&D. Instead of the training department receiving disconnected photographs, manuals and outdated models, it can work from a digital representation that reflects the asset more closely. That is especially valuable when projects involve frequent modifications or when the workforce operates across multiple sites.

What should CHROs, L&D and plant leaders measure?

Energy workforce transformation should not be measured only by the number of employees trained. Leadership teams should also consider:

• Time required to achieve task competency
• Procedure adherence
• Training repetition requirements
• Exposure to hazardous environments during learning
• Readiness before deployment
• Knowledge retention
• Assessment performance
• Time required to update training after asset changes
• Ability to train across multiple facilities
• Integration with existing LMS and enterprise systems

The most important metric will vary by organisation.

• For an LNG operator, it may be faster readiness for a new facility.
• For a refinery, it could be safer reskilling of an experienced workforce.
• For a hydrogen project, it may be the ability to prepare personnel for unfamiliar equipment and hazards.
• For an EPC organisation, it may be the ability to prepare operating teams before handover.

The technology should follow the business outcome, not the other way around.

How can India turn its existing industrial workforce into an advantage?

India has a substantial base of engineering, manufacturing, oil and gas and technical talent. The opportunity is to combine that industrial foundation with structured reskilling and modern learning technologies. Government and industry initiatives are already creating frameworks for emerging skills. The next step is making those skills operational. That means moving beyond:

Certification → Training completion

toward:

Training → Demonstrated competency → Operational readiness

This distinction will become increasingly important as India develops LNG infrastructure, green hydrogen projects and more digitally enabled industrial facilities.

The workforce needs to understand not only what to do, but also where, how and under what conditions to do it.

What does Gastech Thailand 2026 add to the workforce conversation?

Gastech Thailand 2026 brings together conversations around natural gas, LNG, hydrogen, low-carbon solutions and the technologies shaping the energy industry. The workforce question sits underneath all of them.

• A new LNG terminal needs trained operators.
• A hydrogen project needs people who understand new technologies and hazards.
• A digitally enabled refinery needs workers who can operate alongside increasingly connected systems.

An energy company adopting AI needs employees who can use that intelligence effectively rather than simply receive another software tool. This is why workforce readiness should be considered part of the energy transition itself.

New infrastructure without sufficient human readiness creates a deployment gap.

How is VizExperts helping industrial organisations build workforce readiness?

VizExperts brings together industrial digital twins, AI and XR to create practical environments for workforce training and operational preparation. The focus is not simply on creating immersive experiences. It is on connecting digital engineering information with the people who need to use it. We can support organisations with:

Digital twin-based training

Existing 3D, CAD and engineering information can provide the foundation for realistic industrial learning environments.

Immersive safety and procedure training

Workers can practise complex procedures, equipment interactions and high-risk scenarios without relying entirely on live equipment.

AI and XR work instructions

Contextual digital guidance can help connect procedures with the physical equipment workers are servicing.

Multi-device industrial learning

Training environments can be delivered through enterprise XR devices and other supported platforms depending on the operational requirement.

Enterprise deployment

Industrial organisations can align immersive training with their existing IT, security and workforce-management environments.

This creates a broader workforce lifecycle:

Understand → Practise → Assess → Execute → Improve

The objective is simple: help industrial organisations make their existing workforce more capable of operating the next generation of energy assets.

The next energy workforce will be built before the plant is ready

Asia's energy transition is creating a workforce challenge that cannot be solved through hiring alone.

LNG, hydrogen, AI-enabled operations and increasingly complex industrial facilities require new capabilities, but they also create an opportunity to reskill the experienced workforce already inside the industry. India is particularly well positioned to build on its existing technical and industrial base.

The next step is to make training more connected to the physical asset. That means using digital twins, immersive simulation, AI and contextual guidance to move workforce development closer to the environment where work actually happens. For energy leaders, CHROs, L&D teams and plant executives, the strategic question is therefore no longer simply:

How many people have we trained?

It is:

How many people are genuinely ready to perform when the asset goes live?

That is the workforce conversation Asia's energy industry needs to have next.

Frequently asked questions

What skills will the future energy workforce need?

The future energy workforce will need a combination of traditional industrial expertise and new capabilities covering LNG, hydrogen, automation, AI, digital systems, process safety, maintenance and advanced operational technologies.

Why is reskilling important for India's oil and gas workforce?

Experienced oil and gas workers already possess valuable process, maintenance, engineering and safety knowledge. Targeted reskilling can help organisations extend that expertise into AI-enabled operations, LNG and emerging energy businesses.

How can XR improve industrial workforce training?

XR can place workers inside realistic digital environments where they can practise equipment familiarisation, procedures, maintenance tasks, emergency response and safety scenarios before working on live assets.

Can digital twins be used for workforce training?

Yes. A digital twin can provide the spatial and engineering context for immersive training. The same digital asset can potentially support engineering review, workforce preparation, inspection and operational activities across the asset lifecycle.

What is the role of AI in industrial workforce training?

AI can support contextual guidance, scenario generation, assessment and task assistance. When combined with XR and a digital twin, it can help make training and field execution more responsive to the actual industrial environment.

How can energy companies measure workforce readiness?

Companies can evaluate competency, assessment performance, procedure adherence, training time, repeat training requirements, readiness before deployment and the ability to transfer learning into live operational environments.

Meet VizExperts at Gastech Thailand 2026

The future energy workforce will not be built through technology alone.

It will be built by connecting people, procedures, engineering data and the physical asset.

If your organisation is exploring immersive workforce training, digital twin-based learning, AI-assisted work instructions or XR for LNG, oil and gas and emerging energy operations, connect with VizExperts.