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  • End of comfort for auto giants

    End of comfort for auto giants


    KARACHI:

    The year 2025 finally delivered a long-awaited wave of locally assembled vehicles in Pakistan, spanning hybrids, SUVs, pickups, and electric models, following a series of government policy interventions aimed at revitalising the auto sector.

    While the expanded lineup has brought greater choice, improved technology, and renewed competition, the benefits have so far remained concentrated in the higher-income segment. Affordable options for middle- and lower-income buyers remain largely absent, raising concerns that the current progress has yet to meaningfully trickle down to the broader segments of society, limiting the inclusive impact of the industry’s recovery.

    According to Mashood Ali Khan, an auto industry expert, the sector operated in a paradoxical environment throughout the year. “While sales recovered and consumer interest returned, deep structural weaknesses persisted,” he said, citing policy uncertainty, high taxation, rising used car imports, and weak localisation as major constraints.

    He noted that frequent changes in duties and regulations continued to discourage long-term investment in capacity expansion and technology transfer.

    Despite these challenges, 2025 saw a visible rebound in volumes, he said. Passenger car production increased sharply, motorcycles recorded one of their strongest years, and trucks and buses nearly doubled in output. Lower interest rates, improved auto financing, and a flurry of new model launches supported demand recovery, particularly in the second half of the year.

    However, the defining feature of 2025 was market fragmentation. Brands such as Haval, Changan, Chery (Jaecoo-Omoda), BYD, Hyundai, Kia, and MG aggressively expanded their locally assembled portfolios, particularly in SUVs, crossovers, and electrified vehicles. This influx diluted market share across segments that were once dominated by Suzuki, Toyota, and Honda. “The competition is extremely tough now,” said Daniyal Ilyas Gaba, Senior Sales Manager at Kia Motors, Clifton. “People’s purchasing power has declined, banks are restricting financing above certain price thresholds, and documentation requirements have increased. At the same time, there are far more options in the market, so demand is divided.”

    To defend market share, manufacturers resorted to aggressive pricing strategies. Several brands cut prices by Rs1-1.6 million on popular models during the year. According to industry insiders, these cuts were driven by competitive necessity rather than margin expansion.

    Alongside price reductions, interest-free and zero-markup installment plans emerged as a defining trend. As the policy rate declined, banks, non-bank lenders, and manufacturers competed aggressively on financing. In many cases, OEMs and dealers subsidised markups to stimulate demand. Notably, such offers extended beyond entry-level vehicles to SUVs, fundamentally altering consumer behaviour. Shafiq Ahmed Shaikh, an expert on Pakistan’s automobile industry, described 2025 as “a year of recovery and reset.” He noted that the industry transitioned from a production-driven market to a consumer-driven one due to tariff rationalisation linked to IMF-supported reforms under the National Tariff Policy (2025-30). “Prices corrected downwards, financing innovation reshaped demand, and competition intensified across all segments,” he said.

    However, Shaikh cautioned that the recovery represented normalisation rather than a boom, with sales still below historical peaks. He also pointed out that the Automotive Industry Development and Export Policy (AIDEP) 2021-26 had been diluted in practice. “Export targets were largely unmet, and localisation progress remained limited,” he said, adding that the upcoming Auto Policy 2026-31 would further challenge manufacturers by prioritising lower tariffs and competition. Electrification emerged as another major theme. Government incentives under the EV Policy, coupled with rising fuel costs, supported growing interest in electric two-wheelers and hybrid vehicles. Yet concerns remain over unchecked SKD and CKD assembly without meaningful localisation.

    From the two-wheeler segment, Managing Director of Eiffel Industries Ltd (Yadea Pakistan), Muhammad Salman, said 2025 demonstrated that EVs, particularly electric scooters, are “here to stay.” He noted robust growth compared to 2024, with consumers increasingly shifting from ride-hailing and conventional motorcycles to personal electric mobility due to lower running costs. Eiffel Industries expanded its footprint to 42 3S dealerships nationwide. However, he acknowledged that limited disposable incomes and the absence of widespread charging infrastructure continue to slow mass adoption. “Most customers rely on home charging, but infrastructure remains a chicken-and-egg problem,” he said.

    Despite visible progress, affordability is a key concern. Most new entrants focused on higher-income buyers, leaving middle- and lower-income segments underserved. Rising energy costs, high GST on small cars, and increased used car imports further complicated the outlook for local manufacturers and vendors. According to Mashood Ali Khan, the industry spent much of 2025 in “survival mode,” balancing fragmented demand, cost pressures, and policy uncertainty. Still, he believes the competitive shift could strengthen the sector, if supported by consistent long-term policies, genuine localisation, export development, and technology upgrading.

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  • K-State Hires Jeremy Jacobs as Director of Strength and Conditioning

    K-State Hires Jeremy Jacobs as Director of Strength and Conditioning

    MANHATTAN, Kan. – Jeremy Jacobs, an Army veteran who has worked at three Power 4 schools over the last 10 seasons, has been hired as Kansas State’s Director of Strength and Conditioning, head coach Collin Klein announced Tuesday.
     

    After…

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  • Pakistan’s failing harvest: a crisis by design – Business Recorder

    1. Pakistan’s failing harvest: a crisis by design  Business Recorder
    2. 2026 Agriculture: Remaining rudderless  Dawn
    3. Government Mismanagement Aggravates Grain Loss and Food Insecurity in Pakistan  dailyasianage.com
    4. Syed Mahmood Nawaz Shah President,…

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  • Mougalian Earns Second Ivy League Weekly Honor of the Season

    Mougalian Earns Second Ivy League Weekly Honor of the Season

    PHILADELPHIA – The Ivy League announced its wrestling weekly awards on Tuesday afternoon, with Evan…

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  • Hydel power stations generated 33b units

    Hydel power stations generated 33b units

    .


    ISLAMABAD’:

    The outgoing calendar year 2025 proved to be satisfactory for hydroelectric power and water sectors as the Water and Power Development Authority (Wapda) contributed high quantities of clean, green and low-cost hydel electricity to the national grid.

    It also achieved several key targets for the under-construction mega projects despite a diverse environment and serious challenges.

    According to a statement issued on Tuesday, Wapda’s 22 hydel power stations cumulatively generated 33.12 billion units in 2025, which constituted about 30% of the total electricity production.

    Hydel electricity with a tariff of just Rs3.83 per unit kept on subsidising the country’s entire power sector in the outgoing year too, thus significantly contributing to economic stability and social development, it said.

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  • Krazer Wins Title, OW Award; as Lehigh Posts Three Place Winners at Midlands

    Krazer Wins Title, OW Award; as Lehigh Posts Three Place Winners at Midlands

    EVANSTON, Ill. – First-year Aubre Krazer won the 131-pound title and was named the tournament’s Outstanding Wrestler, leading a 16-wrestler contingent at the Ken Kraft Midlands Championships Tuesday at Ryan Fieldhouse.
     
    Krazer went 4-0,…

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  • 5 of the most popular Google Nano Banana prompts users loved in 2025

    5 of the most popular Google Nano Banana prompts users loved in 2025

    2025 was the year a lot of people gave in and made generative AI part of their lives, for better or worse.

    A major factor contributing to its proliferation was the spread of easily…

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  • 1 dead after plane crash near Fredericksburg, authorities say

    1 dead after plane crash near Fredericksburg, authorities say

    Cause of crash unclear

    One person is dead after a plane crash near Fredericksburg, authorities said Tuesday evening. (Courtesy of Fredericksburg Fire/EMS)

    FREDERICKSBURG, Texas – One person is dead after a plane crash near Fredericksburg,…

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  • Pires, L. M., Alves, T., Vassaramo, M. & Fialho, V. Design and development of a High-Accuracy IoT system for Real-Time load and space monitoring in shipping containers. Designs 9 (2), 43. https://doi.org/10.3390/designs9020043 (2025).

    Google Scholar 

  • Flores, A. et al. Real-Time speed measurement of moving objects with continuous wave doppler radar using Software-Defined radio: implementation and performance analysis. Electronics 14 (21), 4225. https://doi.org/10.3390/electronics14214225 (2025).

    Google Scholar 

  • Wen, B., Wei, Y. & Lu, Z. Sea clutter suppression and target detection algorithm of marine radar image sequence based on Spatio-Temporal domain joint filtering. Entropy 24 (2), 250. https://doi.org/10.3390/e24020250 (2022).

    Google Scholar 

  • Wen, B., Lu, Z. & Zhou, B. Marine radar constant false alarm rate detection in generalized extreme value distribution based on Space-Time adaptive filtering clutter statistical analysis. Remote Sens. 16 (19), 3691. https://doi.org/10.3390/rs16193691 (2024).

    Google Scholar 

  • Durlik, I., Miller, T., Kostecka, E., Kozlovska, P. & Ślączka, W. Enhancing safety in autonomous maritime transportation systems with Real-Time AI agents. Appl. Sci. 15 (9), 4986. https://doi.org/10.3390/app15094986 (2025).

    Google Scholar 

  • Oruc, A., Kavallieratos, G., Gkioulos, V. & Katsikas, S. Perspectives on the cybersecurity of the integrated navigation system. J. Mar. Sci. Eng. 13 (6), 1087. https://doi.org/10.3390/jmse13061087 (2025).

    Google Scholar 

  • Miller, T. et al. Artificial intelligence in maritime cybersecurity: A systematic review of AI-Driven threat detection and risk mitigation strategies. Electronics 14 (9), 1844. https://doi.org/10.3390/electronics14091844 (2025).

    Google Scholar 

  • Lv, Z. et al. Unmanned surface vessels in marine surveillance and management: advances in Communication, Navigation, Control, and Data-Driven research. J. Mar. Sci. Eng. 13 5, 969. https://doi.org/10.3390/jmse13050969 (2025).

  • Wang, Y. et al. Visual navigation systems for maritime smart ships: A survey. J. Mar. Sci. Eng. 12 (10), 1781. https://doi.org/10.3390/jmse12101781 (2024).

    Google Scholar 

  • Md, A., Hossain & Islam, M. S. Ensuring network security with a robust intrusion detection system using ensemble-based machine learning. Array 19, 100306. https://doi.org/10.1016/j.array.2023.100306 (2023).

    Google Scholar 

  • Hossain, M. A. & FED-GEM-CN A federated dual-CNN architecture with contrastive cross-attention for maritime radar intrusion detection. Array 27, 100456. https://doi.org/10.1016/j.array.2025.100456 (2025).

    Google Scholar 

  • Ibokette, A. I. et al. Mitigating maritime cybersecurity risks using AI-Based intrusion detection systems and network automation during extreme environmental conditions. Int. J. Sci. Res. Mod. Technol. IJSRMT. 3 (10), 65–91. https://doi.org/10.38124/ijsrmt.v3i10.73 (2024).

    Google Scholar 

  • Durlik, I., Miller, T., Kostecka, E. & Tuński, T. Artificial intelligence in maritime transportation: A comprehensive review of safety and risk management applications. Appl. Sci. 14 (18), 8420. https://doi.org/10.3390/app14188420 (2024).

    Google Scholar 

  • Ammar, M. & Khan, I. A. Cyber Attacks on Maritime Assets and their Impacts on Health and Safety Aboard: A Holistic View, arXiv. https://doi.org/10.48550/ARXIV.2407.08406 (2024).

  • Ishtiaq, W. et al. CST-AFNet: A dual attention-based deep learning framework for intrusion detection in IoT networks. Array 27, 100501. https://doi.org/10.1016/j.array.2025.100501 (2025).

    Google Scholar 

  • Hossain, M. A. Deep Q-learning intrusion detection system (DQ-IDS): A novel reinforcement learning approach for adaptive and self-learning cybersecurity. ICT Express. 11 (5), 875–880. https://doi.org/10.1016/j.icte.2025.05.007 (2025).

    Google Scholar 

  • Rihan, M. Y., Nossair, Z. B. & Mubarak, R. I. An improved CFAR algorithm for multiple environmental conditions. Signal. Image Video Process. 18 (4), 3383–3393. https://doi.org/10.1007/s11760-024-03001-x (2024).

    Google Scholar 

  • He, X. et al. Maritime target radar detection and tracking via DTNet transfer learning using Multi-Frame images. Remote Sens. 17 (5), 836. https://doi.org/10.3390/rs17050836 (2025).

    Google Scholar 

  • Kim, H. & Joe, I. Enhancing anomaly detection in maritime operational IoT time series data with synthetic outliers. Electronics 13 (19), 3912. https://doi.org/10.3390/electronics13193912 (2024).

    Google Scholar 

  • Hossain, M. A. et al. Toward Secure Marine Navigation: A Deep Learning Framework for Radar Network Attack Detection, in Maritime Cybersecurity, S. Bauk, Ed., in Signals and Communication Technology., Cham: (Springer Nature Switzerland, 2025). 195–215. https://doi.org/10.1007/978-3-031-87290-7_11

  • Hossain, M. A., Hossain, M. D., Choupani, R. & Doǧdu, E. MRS-PFIDS: federated learning driven detection of network intrusions in maritime radar systems. Int. J. Inf. Secur. 24 (2), 92. https://doi.org/10.1007/s10207-025-01008-0 (2025).

    Google Scholar 

  • Venskus, J., Treigys, P., Bernatavičienė, J., Tamulevičius, G. & Medvedev, V. Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding,Sensors, 19, 17, 3782, doi: https://doi.org/10.3390/s19173782. (2019).

  • Hossain, M. A. et al. Enhancing Marine Radar Security Through Semi-Supervised Learning: A Self-Training Approach, in 2024 2nd International Conference on Information and Communication Technology (ICICT), Dhaka, Bangladesh: IEEE, Dhaka, Bangladesh: IEEE, 279–283. https://doi.org/10.1109/ICICT64387.2024.10839737 (2024).

  • Mangé, V., Tourneret, J. Y., Vincent, F., Mirambell, L. & Manzoni Vieira, F. Anomaly detection in ship trajectories using machine learning and dynamic time warping. Eng. Appl. Artif. Intell. 157, 111185. https://doi.org/10.1016/j.engappai.2025.111185 (2025).

    Google Scholar 

  • Singh, S. K. & Heymann, F. Machine Learning-Assisted Anomaly Detection in Maritime Navigation using AIS Data, in 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, OR, USA: IEEE, 832–838. https://doi.org/10.1109/PLANS46316.2020.9109806 (2020).

  • Addabbo, P. et al. Temporal convolutional neural networks for radar Micro-Doppler based gait recognition. Sensors 21 (2), 381. https://doi.org/10.3390/s21020381 (2021).

    Google Scholar 

  • He, Y. et al. In-Depth insights into the application of recurrent neural networks (RNNs) in traffic prediction: A comprehensive review. Algorithms 17 (9), 398. https://doi.org/10.3390/a17090398 (2024).

    Google Scholar 

  • Ruan, G. et al., Telecommun Radio Eng., 79, 4, 305–321, doi: https://doi.org/10.1615/TelecomRadEng.v79.i4.40. (2020).

    Google Scholar 

  • Bai, N. & Joe, I. Deep learning methods with the improved attention for explainable image recognition. IEEE Access. 12, 70559–70567. https://doi.org/10.1109/ACCESS.2024.3397323 (2024).

    Google Scholar 

  • Md, A. et al. Deep learning and ensemble methods for anomaly detection in ICS security. Int. J. Inf. Technol. 17 (3), 1761–1775. https://doi.org/10.1007/s41870-024-02299-7 (2025).

    Google Scholar 

  • Wolsing, K. et al. RadarPWN Zenodo, 15, doi: https://doi.org/10.5281/ZENODO.6805559. (2022).

  • Sawada, R. et al. Perspective on the Marine Simulator for Autonomous Vessel Development,., arXiv. https://doi.org/10.48550/ARXIV.2407.19673 (2024).

  • Baldauf, M., Besikci, E. B. & Shi, X. Simulating growing complexity in maritime traffic. Trans. Marit Sci. 14, 02, https://doi.org/10.7225/toms.v14.n02.s10 (2025).

  • About OpenCPN. Accessed: 03, 2025. [Online]. Available: https://opencpn.org/OpenCPN/info/about.html

  • Enhancing Maritime Training: The Role of VR in Ship Bridge Simulators – The CAL-TEK Case Study, in Proceedings of the 26th International Conference on Harbor, Maritime and Multimodal Logistic Modeling &. Simulation, CAL-TEK srl, https://doi.org/10.46354/i3m.2024.hms.012 (2024).

  • Chen, R., Zhang, Y., Li, X. & Ran, J. An analysis and simulation of security risks in radar networks from the perspective of cybersecurity. Sensors 25 (17), 5239. https://doi.org/10.3390/s25175239 (2025).

    Google Scholar 

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  • Trial evaluates a traditional Chinese herbal formula for diabetic kidney disease with macroalbuminuria

    Trial evaluates a traditional Chinese herbal formula for diabetic kidney disease with macroalbuminuria

    Diabetic kidney disease affects a growing proportion of people with diabetes and remains the leading cause of end-stage renal disease. Clinically, the condition is marked by persistent proteinuria and a gradual decline in kidney…

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