Incorrect Take-Off Performance Data: A Persistent Operational Risk in Modern Aviation

Introduction

Incorrect take-off performance data remains a persistent safety risk in modern aviation, despite the widespread adoption of sophisticated digital tools such as Electronic Flight Bags (EFBs) and advanced Flight Management Systems (FMS). While these technologies have significantly improved computational accuracy and operational efficiency, recent incidents show that fundamental vulnerabilities—particularly data-entry errors, inadequate cross-verification, and overreliance on automation—continue to erode safety margins during one of the most critical phases of flight.

A series of events between 2023 and 2025, including a high-profile tail strike involving a LATAM Boeing 777-300ER, illustrate how relatively simple errors can cascade through multiple layers of defence when not detected in time. These events reinforce a key safety insight: the risk is not eliminated by automation but transformed, requiring renewed emphasis on human performance, procedural discipline, and system design.

The Critical Nature of Take-Off Performance

The take-off phase is a uniquely demanding operational environment in which aircraft transition rapidly from ground roll to airborne flight. It is characterised by high workload, rapidly changing aerodynamic conditions, and limited opportunity for corrective action once the aircraft passes decision speed (V1). Accurate take-off performance data is therefore essential to ensure that the aircraft can accelerate within the available runway, achieve appropriate rotation speeds, clear obstacles safely, and maintain adequate climb performance in the event of an engine failure.

Even small discrepancies in performance inputs—such as aircraft weight, runway length, environmental conditions, or configuration—can disproportionately affect safety outcomes. The margins available during take-off are inherently narrow, particularly for long-haul, high-weight operations in demanding environmental or runway conditions.

Although digital tools have largely eliminated traditional calculation errors associated with manual performance charts, they remain fundamentally dependent on the accuracy of input data. As a result, operational risk has shifted to a “garbage-in, garbage-out” paradigm, where incorrect inputs can produce internally consistent yet unsafe outputs.

Automation: Shifting Rather Than Eliminating Risk

The introduction of EFBs and FMS-based performance tools has undoubtedly enhanced operational efficiency. However, these systems are highly sensitive to incorrect inputs, including aircraft weight, flap configuration, runway selection, and environmental parameters. When erroneous data is entered, the resulting calculations—though mathematically correct—may be operationally invalid.

A growing concern in the industry is the erosion of rigorous manual cross-checking practices. As automated systems consistently produce reliable outputs under normal conditions, there is a tendency for flight crews to accept these outputs with less scrutiny. This over-reliance can be compounded when both pilots independently enter the same incorrect data, or when values are communicated verbally and replicated, effectively contaminating what is intended to be an independent verification process.

Human factors play a central role in this dynamic. Expectation bias may lead crews to accept performance figures that “look about right” for a given operation, while confirmation bias reinforces acceptance of outputs that align with preconceived expectations. These tendencies are especially pronounced under time pressure, such as during rapid turnarounds at congested airports, where operational demands can compress decision-making timelines.

The growing complexity of airport environments further exacerbates these risks. Frequent runway changes, temporary displaced thresholds, construction-related NOTAMs, and intersection departures introduce variability that must be accurately reflected in performance calculations. Any mismatch between assumed and actual conditions can significantly erode safety margins.

Case Study: LATAM Boeing 777-300ER Tail Strike, Milan (2024)

A particularly instructive example occurred on 9 July 2024 at Milan Malpensa Airport, when a LATAM Boeing 777-300ER on a long-haul flight to São Paulo sustained a severe tail strike during take-off from Runway 35L. The aircraft sustained substantial structural damage and was later classified as an accident.

The investigation revealed that the crew had used an incorrect gross take-off weight of 228.8 tonnes instead of the actual 328.4 tonnes—an underestimation of about 100 tonnes. The error occurred when the line training captain mentally subtracted expected taxi fuel from the displayed weight, yielding an incorrect figure. Crucially, this value was then communicated verbally in the cockpit and entered into both pilots’ EFBs for performance calculation using Boeing’s Onboard Performance Tool.

Because both devices received the same erroneous input, they produced identical thrust settings and V-speeds. This apparent consistency masked the underlying error and rendered standard cross-checks ineffective. The calculated rotation speed was more than 30 knots below the required speed for the actual aircraft weight.

During the take-off roll, the aircraft reached the erroneously computed rotation speed, prompting the crew to rotate prematurely. The aircraft pitched up rapidly but failed to generate sufficient lift for its actual weight, resulting in prolonged tail contact with the runway. The tail remained in contact for over 700 metres, causing extensive structural damage.

Despite the severity of the event, the crew managed the situation effectively after the incident by dumping fuel and returning safely to Milan. There were no injuries among the 398 occupants. However, the incident clearly illustrates how a single mental arithmetic error, combined with shared data entry and ineffective cross-checking, can breach multiple layers of defence.

Recurring Patterns in Recent Occurrences

The LATAM event is not an isolated case but part of a broader pattern observed in recent years. Several incidents have involved crews initiating take-off using performance data calculated for full-length runways, despite temporary reductions in available runway length. In other cases, aircraft have commenced take-off from intersection points without recalculating performance data, thereby reducing the usable runway length.

These occurrences are often linked to incomplete briefings, misinterpretation of runway markings, or failure to incorporate updated NOTAMS. In each case, the root cause is not the absence of procedures or tools, but a breakdown in verification processes and situational awareness.

Weight-related discrepancies have also been prominent, leading to incorrect V-speeds and thrust settings that increase the risk of tail strikes, runway excursions, or degraded climb performance. These events consistently follow a similar progression: a relatively minor input error is introduced, cross-checking is ineffective or compromised, and the resulting incorrect outputs are executed without challenge.

The Error Chain and Layered Defences

These incidents can be understood through the concept of an error chain, in which an initial mistake propagates through successive stages without detection. The failure typically begins with an incorrect input or assumption, followed by inadequate cross-verification, leading to incorrect performance outputs and, ultimately, unsafe execution during the take-off roll.

Aviation safety relies on multiple layers of defence to intercept such errors. These include organisational measures such as standard operating procedures and training; technical systems such as EFB validation logic and FMS safeguards; human factors such as disciplined challenge-and-response procedures; and operational elements such as thorough briefings and situational awareness.

When these layers function effectively, errors are detected and corrected before they compromise flight safety. However, when gaps align across these layers—as described in the Swiss Cheese model—errors can pass through all defences, leading to serious incidents or accidents.

Performance Margins and Operational Sensitivity

Take-off performance is highly sensitive to changes in aircraft weight, temperature, altitude, and runway conditions. As these factors increase, performance margins shrink, leaving less tolerance for error. High-weight, long-haul departures are particularly vulnerable because they operate closer to performance limits.

In such conditions, even minor inaccuracies in input data can significantly affect the required take-off distance, rotation speeds, and climb capability. This underscores the importance of accurate data entry and robust verification processes.

Strengthening Defences

Mitigating the risk of incorrect take-off performance data requires a combination of disciplined operational practices, technological enhancements, and organisational support. At the flight crew level, truly independent calculation and verification of performance data are essential. This requires avoiding verbal contamination of inputs and ensuring that each pilot conducts a separate, unbiased assessment before comparing results.

Reasonableness checks provide an additional layer of defence by prompting crews to assess whether computed values align with expected performance under the given conditions. Such checks can help identify anomalies that might otherwise go unnoticed.

Technological solutions are also evolving. Take-Off Performance Monitoring Systems (TOPMS) are being developed to compare actual aircraft acceleration during the take-off roll with predicted performance and to provide real-time alerts when deviations are detected. Enhanced EFB systems with improved validation logic and integration with aircraft and airport databases can further reduce the likelihood of input errors.

At the organisational level, scenario-based training that replicates real-world challenges—such as last-minute runway changes, intersection departures, and high-weight operations—can enhance crew preparedness. Flight Data Monitoring programmes can identify trends and detect anomalies.

Future Outlook

The industry is transitioning from:  Error prevention → Error detection and recovery 

Key developments include:

a) AI-driven anomaly detection

b) Real-time performance validation

c) Integration of aircraft and ground data systems

However, technology alone cannot eliminate the risk. The human-machine interface and operational discipline remain decisive.

Conclusion

Incorrect take-off performance data remains a persistent, systemic safety threat, not because of complexity but because of the failure to detect simple errors in time.

Recent incidents demonstrate that:

a) The hazard is not diminishing despite technological advances.

b) It is increasingly influenced by operational complexity and human factors.

The most effective mitigation is a multi-layered defence strategy:

a) Human vigilance

b) Technological safeguards

c) Organisational resilience

“Take-off performance errors are rarely unavoidable—they are almost always detectable before they become irreversible.” 

Author: GR Mohan

Zero Engine Taxi Operations: A Pathway to Emissions Reduction in Modern Aviation

 1. Introduction

The aviation industry is at a crucial crossroads, managing rapid growth in air traffic while facing increasing pressure to lessen its environmental impact. Although long-term solutions like hydrogen propulsion and Sustainable Aviation Fuels (SAF) are still developing, there is a pressing need for immediate, scalable, and cost-effective measures that achieve real emissions reductions.

One such solution is the concept of zero-engine taxi, enabled by the deployment of the Taxibot. By eliminating the use of main engines during ground movement, this approach addresses a traditionally inefficient phase of flight and provides measurable environmental and economic benefits without requiring fundamental changes to aircraft design.

2. Concept and Operational Framework

Zero-engine taxi involves towing an aircraft between the gate and the runway using an external vehicle, with the engines remaining shut down until just before departure. The Taxibot system, developed by Israel Aerospace Industries in collaboration with TLD Group, is the most operationally advanced implementation of this concept.

Unlike traditional tow tractors, the Taxibot is a pilot-controlled, semi-robotic system that connects to the aircraft’s nose landing gear. The pilot maintains full control over steering and braking through standard cockpit controls, ensuring procedural continuity and eliminating the need for additional ground personnel to oversee movement.

This design philosophy is crucial to its success: it seamlessly fits into existing workflows and greatly enhances efficiency.

3. Environmental and Economic Significance

Although usually short, taxi operations are disproportionately responsible for fuel consumption and emissions. Aircraft engines idling on the ground are naturally inefficient, burning between 10 and 40 kilograms of fuel per minute, depending on the aircraft type.

Zero-engine taxi operations greatly cut this inefficiency. Moving from engine-powered taxi to external towing can save 50–85 per cent of fuel during taxi phases. This leads to lower carbon dioxide (CO₂) emissions, along with reduced emissions of nitrogen oxides (NOx) and other pollutants that affect local air quality.

From an economic perspective, reducing fuel consumption offers immediate cost savings for airlines. Additionally, reduced engine usage minimises maintenance needs by limiting exposure to foreign-object damage, reducing thermal stress cycles, and prolonging engine lifespan.

A secondary but important benefit is noise reduction, especially in busy airport environments where engine idle thrust increases overall noise levels.

4. Research Developments and Systems Integration

Recent research has shifted focus from feasibility to optimisation and large-scale implementation. Electric towing vehicles (ETVs), including Taxibot systems, are increasingly recognised as key contributors to aviation’s net-zero goals.

A key focus of study involves operational modelling, specifically:

a) Determining the optimal fleet sizes for towing vehicles.

b) Developing effective dispatch and routing strategies

c) Reducing taxi delays and congestion

d) Integrating towing operations with Airport Collaborative Decision Making (A-CDM) frameworks.

These studies consistently emphasise that the success of zero engine taxi operations relies not only on the technology itself but also on system-wide coordination among airport stakeholders.

Energy management is another growing focus, especially with the shift toward fully electric towing systems. Effective charging strategies and battery lifecycle management are crucial for maintaining operational reliability.

5. Technological Evolution (2023–2026)

The technological landscape of zero-engine taxi systems has evolved considerably in recent years. Early implementations depended on hybrid propulsion systems; however, there is a clear shift toward fully electric towing vehicles, enabling completely emission-free ground operations.

Parallel developments are being explored in onboard electric taxi systems, where electric motors are integrated into the aircraft’s landing gear. While these systems offer autonomy, they face challenges related to certification complexity, weight penalties, and cost-benefit trade-offs.

Consequently, the industry is now taking a practical approach:

a) External towing systems (Taxibot): Ready for immediate use with proven operational capability 

b) Onboard electric taxi systems: Long-term potential depends on technological and regulatory development 

6. Global Deployment and Operational Experience

Zero-engine taxi operations have transitioned from trial stages to full deployment at several major airports. Indira Gandhi International Airport is a prominent example, demonstrating significant decreases in fuel use and emissions through continuous Taxibot operations.

Similarly, Schiphol Airport has incorporated sustainable taxiing into its overall environmental strategy, supported by strong regulatory backing and infrastructure planning.

Airlines such as Lufthansa and Air India have confirmed the system's operational viability across different fleet types and operational scenarios.

These real-world implementations demonstrate that a zero-engine taxi is a scalable and globally relevant solution, not merely a niche or experimental concept.

7. Regulatory Alignment and Certification

The adoption of zero-engine taxi operations is strongly endorsed by international regulatory frameworks. The International Civil Aviation Organisation highlights operational improvements as a crucial element in reaching its Long-Term Aspirational Goal (LTAG) of net-zero emissions by 2050.

In Europe, EUROCONTROL and the European Union Aviation Safety Agency have developed guidance for sustainable taxi operations, emphasising safety equivalence, operational efficiency, and seamless integration with air traffic management systems.

From a certification perspective, the Taxibot system has received approval from major aviation authorities, including the Directorate General of Civil Aviation, the Federal Aviation Administration, and EASA. A key factor enabling this approval is the absence of required modifications to the aircraft itself, which significantly reduces regulatory complexity.

8. Operational Challenges

Despite its advantages, zero-engine taxi operations encounter several operational challenges that must be addressed for widespread adoption.

The availability and distribution of towing vehicles can become a limiting factor, especially during peak traffic periods. Poor scheduling may lead to delays, diminishing some of the operational benefits.

Infrastructure requirements, especially for fully electric systems, increase complexity. Reliable charging networks, battery management systems, and maintenance support are essential for continuous operations.

Furthermore, successful implementation requires close coordination among airlines, ground handling services, and air traffic control. Without effective integration into existing airport systems, the introduction of Taxibot operations can add to procedural complexity.

9. Future Outlook

Zero-engine taxi operations are expected to become a standard practice in sustainable aviation. Improvements in battery technology, automation, and digital integration are projected to enhance the efficiency and reliability of towing systems.

Future developments might include:

a) Semi-autonomous or fully autonomous towing operations

b) Integration with AI-powered airport traffic management systems

c) Expansion to wide-body and high-frequency operations

d) Hybrid strategies combining zero-engine taxi with single-engine taxi procedures.

As airports continue to modernise and meet environmental targets, the role of zero-engine taxis will likely evolve from a supplementary measure to a core operational standard.

10. Conclusion

Zero engine taxi, enabled by Taxibot systems, is among the most practical and quickly deployable solutions for reducing aviation emissions. It combines operational simplicity with measurable environmental and economic benefits, supported by strong regulatory alignment and proven real-world performance.

Unlike long-term technological breakthroughs that require extensive development and certification, zero-engine taxis offer an immediate path to sustainability. Addressing inefficiencies in ground operations demonstrates that meaningful progress in aviation decarbonization is achievable both in the air and on the ground.

Author: GR Mohan

Aircraft Maintenance, Repair, and Overhaul (MRO) Industry: A Strategic and Operational Analysis (2026)

 1. Introduction

The Aircraft Maintenance, Repair, and Overhaul (MRO) sector is vital for global aviation, ensuring safety, reliability, and operational continuity across both commercial and non-commercial fleets. In the post-pandemic period, the industry has seen a strong recovery, driven by unprecedented growth in passenger numbers and higher aircraft utilisation rates.

Global passenger traffic is expected to surpass five billion annually between 2025 and 2026, creating significant operational challenges for airline fleets. At the same time, delays in aircraft production by major original equipment manufacturers (OEMs) have limited fleet renewal, leading to longer operational life cycles for current aircraft. The average fleet age, now around 13.4 years, increases the demand for maintenance-intensive interventions.

MRO activities include a wide range of services, such as line maintenance, heavy airframe checks (C and D checks), engine overhauls, component repairs, structural modifications, and ensuring regulatory compliance with international authorities. These services collectively form the foundation of aviation safety and efficiency.

2. Global MRO Market Dynamics

2.1. Market Size and Growth Trends

The global MRO market has shown strong growth, exceeding pre-pandemic levels. In 2025, demand is projected to be between USD 119 and 136 billion, with an annual growth rate of 8–12%. This increase signifies not just recovery but also structural growth supported by long-term industry fundamentals.

Projections for 2026 show continued strength, with commercial aviation MRO estimates ranging from USD 88 billion to over USD 100 billion. Long-term forecasts indicate that the market will reach about USD 156 billion by 2035 under conservative assumptions, while broader estimates project values close to USD 193 billion by the end of the decade.

2.2. Fleet Expansion and Utilisation

The global commercial fleet is expected to grow from about 29,000–30,000 aircraft in 2025 to between 36,400 and 41,000 aircraft by 2034–2035. This growth, along with higher utilisation rates, is projected to increase annual flight hours by nearly 39% compared to 2024 levels.

As illustrated in Figure 1, the global MRO market is projected to grow steadily through 2035, driven primarily by fleet expansion and utilisation intensity. The convergence of fleet growth, ageing aircraft, and operational intensity has created sustained demand for MRO services across all segments.

3. Engine MRO: Market Leadership and Operational Complexity

3.1. Segment Dominance

Engine MRO accounts for the largest share of the overall MRO market, at approximately 40–50% of total expenditure. The segment is valued at USD 43.78 billion in 2025 and is projected to grow to USD 75 billion by 2032, reflecting a compound annual growth rate of about 8%.

3.2. Demand Characteristics

Both legacy and next-generation platforms drive demand for engine maintenance. Older engines, such as the CFM56, V2500, and RB211, still require extensive upkeep due to age-related wear. Meanwhile, newer engines—including the CFM LEAP and PW1100G—are facing higher-than-expected early maintenance needs.

These early shop visits are caused by factors such as material degradation, blade erosion, and issues related to advanced manufacturing processes. As a result, shop visit rates for newer engines have risen by approximately 150% compared to pre-pandemic levels.

3.3. Operational Constraints

Turnaround times (TATs) for engine overhauls have increased significantly, often surpassing 250–300 days. These delays are mainly due to supply chain issues and spare part shortages.

To address these challenges, MRO providers and airlines have increasingly relied on used serviceable material (USM) and component cannibalisation. OEMs have responded by expanding long-term service agreements, commonly called “Power by the Hour” contracts, which offer predictable maintenance costs and revenue stability.

3.4. Regional Distribution

While North America and Europe continue to lead in high-technology engine maintenance, the Asia-Pacific region has become a key growth hub, representing about 30% of global MRO activity in 2025. Cost benefits, regional fleet growth, and increased investment in MRO infrastructure drive this change.

4. Digital Transformation in MRO Operations

4.1. Technological Evolution

Digital transformation has become a core part of MRO operations, shifting from pilot projects to widespread adoption. Technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are increasingly integrated into maintenance workflows.

Predictive maintenance systems use real-time data from aircraft sensors and flight operations to forecast component failures, thereby decreasing unscheduled downtime.

4.2. Advanced Applications

Digital twins enable the development of virtual models of aircraft systems, facilitating simulation-based maintenance planning. Augmented reality (AR) and virtual reality (VR) tools offer technicians improved guidance during complex repair procedures.

Cloud-based platforms have facilitated the transition to paperless maintenance environments, improving documentation accuracy and regulatory compliance.

4.3. Operational Impact

The adoption of digital technologies has led to notable efficiency improvements, such as a 30–50% reduction in unplanned downtime. Moreover, maintenance expenses have decreased, and workforce productivity has increased thanks to optimised resource distribution.

The increasing data output of next-generation engines—up to 1 terabyte per flight cycle—highlights the need for advanced analytics capabilities.

4.4. Future Developments

Emerging technologies like additive manufacturing and AI-driven maintenance ecosystems are expected to further improve operational efficiency. These innovations will likely become key differentiators in the competitive MRO landscape.

5. Supply Chain Risks and Non-Airworthy Parts

5.1. Emerging Threats

The integrity of the MRO supply chain has come under increased scrutiny because of the rise in non-airworthy and counterfeit parts. In January 2026, a notable incident involved the interception of over 625 unauthorised components in Europe, exposing systemic weaknesses.

5.2. Regulatory Response

Regulatory authorities have introduced stringent measures, such as mandatory inventory inspections and improved traceability requirements. These steps are designed to reduce risks and ensure adherence to airworthiness standards.

5.3. Industry Implications

The prevalence of counterfeit parts, estimated at about 2% of installations, presents serious safety risks. Consequently, industry stakeholders are investing in advanced tracking systems, enhanced inspection protocols, and increased collaboration with OEMs.

6. India’s MRO Industry: Growth and Strategic Positioning

6.1. Market Overview

India’s MRO market is among the fastest-growing globally, valued at USD 4.0–4.4 billion in 2025. Projections for 2030 range from USD 5.7 billion to USD 6.89 billion, reflecting strong growth potential.

6.2. Fleet Expansion and Demand Drivers

India’s commercial fleet is projected to surpass 1,800 aircraft by 2030, with most being narrow-body aircraft. The country’s status as the third-largest aviation market and its goal of 300 million annual passengers highlight the growing demand.

6.3. Engine MRO Development

Engine maintenance is a crucial growth sector, driven by the widespread use of narrow-body aircraft. Investments in new facilities and joint ventures have improved domestic capabilities, but capacity limitations remain.

6.4. Digital Adoption and Innovation

Indian MRO providers are increasingly adopting digital technologies, supported by government initiatives promoting technological self-reliance. Key aviation hubs are integrating AI, IoT, and AR/VR solutions to improve efficiency and tackle workforce challenges.

6.5. Policy Framework

Government policies, including tax cuts, the easing of foreign investment rules, and infrastructure improvements, have fostered a positive environment for MRO growth. These measures aim to boost domestic market share and lessen dependence on foreign facilities.

7. Challenges and Constraints

Despite its growth trajectory, the MRO industry faces several challenges, including dependence on imported components, shortages of skilled labour, infrastructure limitations, and regulatory complexities. Additionally, competition from established MRO hubs in Southeast Asia and the Middle East poses a significant challenge.

8. Strategic Opportunities and Future Prospects

Significant opportunities, including expanding engine maintenance capabilities, adopting advanced technologies, and developing hybrid business models, define the future of the MRO industry. Engine MRO remains the main segment, while digital transformation redefines operational efficiency.

India’s potential to become a global MRO hub is especially significant, driven by cost benefits, policy support, and swift fleet expansion. Incorporating sustainability practices and digital innovation will play a key role in shaping the industry’s future direction.

Navigating the HAL Crossroads: A 2026 Pivot from Dominance to Adaptation

 In the dynamic world of aerospace, Hindustan Aeronautics Limited (HAL), India's venerable state-owned powerhouse, stands at a pivotal juncture as we enter 2026. Boasting a market capitalisation of around ₹2.7-2.9 lakh crore—roughly $32-35 billion USD—HAL holds its ground as one of the globe's top aircraft manufacturers, often ranked fourth behind titans like Airbus, Boeing, and Lockheed Martin. This financial stature is commendable, yet it conceals underlying challenges that demand attention. As a cornerstone of India's defence landscape, HAL is finding itself gradually edged out of marquee initiatives such as the Advanced Medium Combat Aircraft (AMCA) due to persistent delays, technological hurdles, and operational inefficiencies. The emerging emphasis on private sector collaboration marks a welcome shift away from HAL's long-held monopoly, encouraging the company to evolve and secure its place in a rapidly changing industry it has long shaped.

Unpacking HAL's Challenges: Reflections on a Legacy of Caution

For more than two decades, HAL has thrived under the umbrella of government-backed exclusivity in India's aerospace arena, drawing on lucrative contracts and international technology-sharing pacts. Founded in 1940 and reorganised in 1964 via the fusion of Hindustan Aircraft Ltd. and Aeronautics India Ltd., HAL has traditionally excelled in licensed manufacturing over bold, homegrown innovation. This has earned it the unfortunate moniker of a "garage for foreign jets," where it assembles models like the MiG-21, Su-30MKI, BAE Hawk and Jaguar without fully ascending to the ranks of a holistic design innovator.

The Challenge of Technology Integration

HAL's collaborations with overseas original equipment manufacturers (OEMs) were meant to foster deep technological uptake, but the results have fallen short of expectations. The Su-30MKI initiative, launched in the late 1990s, saw HAL produce 272 units at its Nasik plant under license from Russia's Sukhoi. Likewise, the Jaguar program from the 1980s yielded over 125 aircraft, many still operational after enhancements. Regrettably, these ventures were approached more as routine assembly lines than gateways to mastering essential technologies such as "hot-core" engines or cutting-edge avionics.

This measured pace contrasts sharply with the strides made by China's Aviation Industry Corporation of China (AVIC). In a similar timeframe, AVIC has pursued foreign know-how with Vigour through partnerships, joint ventures, and robust domestic R&D, leaping from mere licensed builds to pioneering fifth-generation fighters like the J-20. China's approach, bolstered by targeted supply chain investments and supportive policies, has positioned it as a global contender. India, by comparison, continues to rely on imported components, which underscores ongoing vulnerabilities in its defence infrastructure.

The Gap in Operational Urgency

Further straining stakeholder trust are HAL's execution setbacks. In early 2025, during Aero India, the Indian Air Force Chief voiced a lack of confidence in HAL, pointing to recurring postponements and an absence of "mission mode" intensity. This spotlighted the Tejas Light Combat Aircraft (LCA) Mk1A, whose timelines were extended by two years in February 2026. Currently, just five Mk1A units are delivery-ready, with nine others pending General Electric (GE) engines. The IAF has observed that HAL's commitments to timelines and standards are sometimes not met, intensifying concerns over fleet readiness.

These reflect HAL's wider hurdles, including an order backlog surpassing ₹2.7 lakh crore, institutional sluggishness, and R&D spending that trails international benchmarks.

A Comparative Lens: HAL and AVIC in Focus

In aerospace and defence, HAL and AVIC embody their countries' ambitions for self-sufficient military and civil aviation. While both advance national goals, AVIC's swift rise and expansive footprint highlight differences rooted in policy, funding, and heritage.

HAL has progressed from basic assembly to elements of indigenous creation over the years, yet it grapples with critiques over its gradual path to complete design independence. AVIC, established in 1951 and restructured in 2008 after earlier divisions, has optimised its structure to spark innovation. Building on Soviet foundations, it has chased technology transfers aggressively via joint ventures, morphing from replicating Russian models to crafting sophisticated systems.

AVIC exemplifies "technological leapfrogging," commanding expertise in hot-core engines, advanced avionics, and composites through intensive R&D and acquisitions like Continental Motors (2010) and Cirrus (2011). With over 30 aviation labs and alliances with Honeywell, GE, and Safran, AVIC advanced from MiG derivatives to native fifth-generation tech in mere decades, fuelled by substantial state support.

HAL, though engaged in similar partnerships (Su-30MKI, Jaguar), has been seen as a "laggard" for viewing them primarily as production exercises rather than absorption catalysts. It trails in engine development, depending on GE F414 and Safran agreements, and contends with delays like those in Tejas Mk1A. Encouragingly, HAL is adopting platform-based accountability as advised by the Boston Consulting Group (BCG) and pursuing authentic tech transfers for AMCA engines (100% IP via Safran). Nonetheless, bureaucratic hurdles and contract dependency have somewhat sidelined it from leading roles.

The Ripple Effects: Exclusion from the AMCA Spotlight

HAL's accumulated issues peaked with its de facto sidelining from the AMCA's primary stewardship in February 2026.

The Basis for Disqualification

The Aeronautical Development Agency (ADA) highlighted HAL's outsized order book—exceeding three times its yearly revenue—and a track record of timeline slips as reasons it posed risks to this flagship endeavour. This mirrors the protracted 30-year Tejas journey, which ADA is keen to sidestep.

Embracing Private Sector Dynamism

To hasten AMCA progress, the government has channelled the project into a Special Purpose Vehicle (SPV) spearheaded by private entities. From seven contenders, three consortia advanced: Tata Advanced Systems Limited (TASL), Larsen & Toubro (L&T) alongside Bharat Electronics, and Bharat Forge teamed with BEML and Data Patterns. These groups will oversee prototype building and mass production, targeting the initial prototype in 3-4 years. HAL retains a possible contributory position but steps back from the helm.

This move underscores a policy tilt toward private agility, echoed in recent online dialogues on platforms like X, which underscore HAL's delays and the value of competitive edges.

Charting a Resilient Future: HAL's Transformative Steps

To navigate this shift, HAL is embracing essential changes, propelled by both outside influences and internal resolve.

1. Platform-Based Accountability: Guided by BCG insights, HAL is pivoting from regional setups to Platform Business Units by March 2026. This empowers managers with direct responsibility for aircraft schedules, fostering greater efficiency and punctuality.

2. Authentic Technology Adoption: New pacts prioritise meaningful integration. The GE-F414 deal, with 80% technology transfer, will energise Tejas Mk2 and early AMCA models, eyeing the first home-built engine by 2029. Safran's collaboration on a 120 kN AMCA engine grants 100% IP rights and complete transfer, enlisting private firms as oversight partners.

3. Evolving to a Key Supplier: HAL may transition from chief integrator to a premier component provider for domestic alliances and international leaders like Boeing and Airbus. This strategy plays to its fabrication strengths while alleviating full-project oversight demands.

Closing Thoughts

HAL is evolving beyond being the sole player in the field. The AMCA SPV's emergence, alongside private innovators, signals the close of an era of unchallenged state dominance. To thrive, HAL must demonstrate parity with private-sector nimbleness, lest it settle into a subcontractor niche in the sector it pioneered. As India advances self-reliance through Atmanirbhar Bharat, this transition holds promise for sparking widespread creativity—provided HAL seizes the moment for true reinvention. Meanwhile, AVIC's expansive vision and ingenuity cement its status as a global frontrunner, offering India valuable insights from China's proactive tech integration model, even as HAL carves its path as an essential, India-centric contributor.

Author: GR Mohan

VIP Charter Operations, and the Regulatory Blind Spot in Indian Aviation

 On the morning of 28 January 2026, Maharashtra Deputy Chief Minister Ajit Pawar was killed when a Learjet 45XR chartered from VSR Aviation crashed during its approach to Baramati Airport. The accident claimed the lives of all on board, including Captain Sumit Kapoor and First Officer Shambhavi Pathak. Within hours, the nation mourned. Within days, the familiar script began to unfold: speculation, selective leaks, and an unspoken but inevitable question—what did the pilots do wrong?

That question, while emotionally satisfying, is dangerously incomplete.

Because Baramati was not merely an aviation mishap. It was the foreseeable outcome of systemic regulatory neglect in India’s non-scheduled and VIP charter operations—a failure repeated often enough that it can no longer be dismissed as a coincidence.

This tragedy joins a grim list: Madhavrao Scindia, G.M.C. Balayogi, Y.S. Rajasekhara Reddy, and General Bipin Rawat. Different aircraft, different years, different circumstances—but a disturbingly consistent pattern. Each accident prompted solemn assurances and official inquiries. Yet two decades on, the structural weaknesses that imperil VIP aviation remain stubbornly intact.

A High-Consequence Flight Into a Low-Capability Airport

Baramati Airport is a Visual Flight Rules (VFR) aerodrome, primarily used for flying training. It has no instrument approach procedures, no permanently manned Air Traffic Control tower, and no on-site meteorological office. Pilots operating there receive landing advisories, not clearances, and are required to maintain continuous visual contact with the runway environment.

None of this is inherently unsafe if operations are strictly limited to suitable conditions.

Under DGCA Civil Aviation Requirements (CARs) governing VFR and all-weather operations, flights into such aerodromes are permitted only when prescribed visibility minima—typically 5 km or more—are met. Post-accident reporting consistently pointed to poor visibility at the time of the approach. Some media outlets loosely invoked “dense fog,” a term more dramatic than technical. The real issue was simpler and more troubling: conditions were marginal or unsuitable for VFR operations into a non-instrument airfield.

The most revealing detail came after the crash. The Indian Air Force swiftly deployed ATC and meteorological personnel to Baramati to support ongoing operations. This was operationally prudent—but symbolically damning. It tacitly acknowledged that the level of air traffic and weather support required for safety was absent until lives were lost.

In aviation, safety measures introduced after an accident are not solutions. They are confessions.

The Seduction of Pilot Blame

Every air crash eventually finds its way to the cockpit. The pilots were there. They made the final call. End of story.

Except it never is.

Aviation accidents rarely result from a single bad decision. They emerge from pressure, context, and constrained choices. To isolate the pilot’s judgment while ignoring the forces shaping that judgment is not analysis—it is abdication.

Consider a simple root-cause chain:

a) Why did the aircraft attempt a landing in marginal weather?
Because the flight needed to be completed.

b) Why did completion feel non-negotiable?
Because VIP schedules allow little tolerance for delay or diversion.

c) Why does that pressure weigh more heavily on charter pilots?
Non-scheduled operations offer weaker institutional protection than airlines.

d) Why is there no effective counterweight to that pressure?
Because regulatory oversight of non-scheduled operators is lighter and less risk-based.

e) Why has this imbalance persisted?
Because the system has normalised elevated risk for VIP mobility—until tragedy intervenes.

This is not about bravado or heroics. It is about structural coercion, where pilots are left to absorb competing demands from passengers, employers, and circumstances—while the regulator remains largely invisible until after the fact.

What the Rulebook Actually Says—and What Happens in Practice

India is not short of aviation regulations. The problem is how selectively they are applied.

DGCA’s CAR on All-Weather Operations clearly requires that flights be conducted only when weather conditions meet prescribed minima, and that approaches be discontinued when visual reference is inadequate. ICAO Annexe 6, which India is bound to follow, reinforces the obligation on states to ensure operators maintain operational control systems that prevent unsafe continuation of flight.

Yet in practice, VIP charter operations are allowed to proceed into VFR-only aerodromes without additional safeguards, even when conditions deteriorate.

Similarly, DGCA CARs on aerodrome operations require that facilities and services be commensurate with the nature of operations. ICAO Annexe 11 (Air Traffic Services) and Annexe 3 (Meteorology) emphasise the provision of ATS and weather information necessary for safety “to the extent practicable.”

The question writes itself: If ATC and meteorological support become “practicable” immediately after a fatal crash, why were they not required beforehand for high-consequence VIP flights?

The Pressure Nobody Wants to Name

DGCA regulations are unambiguous on paper: the Pilot-in-Command has absolute authority, and operators must ensure that pilots are not coerced into unsafe decisions.

But authority without insulation is an illusion.

In scheduled airlines, pilots operate within a robust ecosystem—dispatch departments, independent weather assessments, formal diversion protocols, fatigue risk management systems, and just-culture protections. In many non-scheduled operations, especially those carrying VIPs, these buffers are thinner or absent altogether.

ICAO Annexe 19 on Safety Management explicitly recognises the danger of organisational pressure and mandates Safety Management Systems that address it. Yet non-scheduled operators are not held to the same SMS maturity as airlines, despite operating flights where the political, social, and reputational stakes are far higher.

When a VIP charter pilot diverts, the cost is not just fuel and time. It is embarrassment, political inconvenience, and potential loss of future business. The pressure may never be spoken—but it is always understood.

Investigations Without Reform

India’s Aircraft Accident Investigation Bureau (AAIB) operates under rules aligned with ICAO Annexe 13, which emphasises accident prevention over blame. Yet history suggests that investigations into VIP crashes rarely translate into visible systemic reform.

Findings are delayed. Reports are opaque. Recommendations—if issued—fade quietly into administrative files. Meanwhile, the operational environment that enabled the accident remains largely unchanged.

This investigative culture does not just fail the public. It fails the next crew.

The Real Blind Spot: Non-Scheduled Operations

The most uncomfortable truth is this: India regulates its highest-consequence flights with lower safety margins than its routine airline operations.

Non-Scheduled Operator Permit (NSOP) holders are granted operational flexibility that was meant to encourage connectivity and enterprise. Over time, that flexibility has hardened into leniency—without a corresponding risk-based oversight framework.

ICAO’s philosophy is explicit: regulation must be proportionate to risk, not category. A flight carrying a chief minister into a marginal airfield in winter conditions is not “less risky” because it is non-scheduled. It is more risky—and should be treated as such.

What Meaningful Reform Would Look Like

This tragedy did not occur because India lacks rules. It occurred because rules were not aligned with reality.

Real reform would include:

a) Risk-based restrictions on VIP flights into VFR-only aerodromes

b) Mandatory independent weather assessment and diversion authority

c) Airline-equivalent SMS requirements for charter operators conducting VIP flights

d) Transparent AAIB investigations with enforceable follow-up mechanisms

VIPs do not need privileges in the air. They need higher safety margins.

Until regulators accept that truth, India will continue to cycle through grief, blame, and forgetfulness—each time promising lessons learned, and each time leaving the system largely untouched.

Aviation safety advances, as history grimly reminds us, only when tragedy is met with honest accountability rather than convenient scapegoating. Baramati deserves nothing less.

Author: GR Mohan