{"id":47343,"topic":"ai","source":"Ipsos","title":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles - Ipsos","url":"https://www.ipsos.com/en/your-next-car-might-drive-better-you-perception-ai-automobiles","url_hash":"41176e3a4677b40ce30a22375a9fbb7035d52392","author":"","summary":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles Ipsos","content":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles\nThe AI Trust Barrier in Modern Transportation\nPicture this: you speak your destination aloud and sit back with your morning coffee while artificial intelligence navigates rush hour traffic with surgical precision. This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.\nIt is not the technology. It is consumer trust.\nSelf-driving cars represent the ultimate leap of faith in artificial intelligence. Unlike asking a virtual assistant for the weather, autonomous vehicles demand we surrender control over our personal safety.\nThese vehicles utilise a symphony of sensors—cameras that see in multiple spectrums, radar that penetrates fog, and LIDAR that maps the world in real-time 3D. Every millisecond, AI algorithms process thousands of data points to make split-second decisions that would overwhelm human drivers. The technology learns continuously across the global fleet. Yet, the trillion-dollar question remains: is the public ready to let go of the steering wheel?\nTechnology Fatigue vs. AI Adoption\nThe 2026 Ipsos Global Mobility Report reveals a striking paradox regarding the perception of AI in automobiles: most people believe modern cars already have too much technology.\nThe baseline data highlights a clear sense of \"technology fatigue\" among global consumers:\nKey figures\n55%\nbelieve cars are oversaturated with tech\n27%\nremain neutral on current tech levels\nOnly 18%\nthink current technology levels hit the sweet spot\nThis fatigue varies dramatically by geography. In Indonesia, Türkiye, and Mexico, over two-thirds of consumers feel overwhelmed by automotive technology. Conversely, markets like China, Sweden, and New Zealand embrace this digital transformation with significantly more enthusiasm.\nThe Trust Equation: Global Attitudes Toward Autonomous Vehicles\nDespite the complexity of modern vehicles, trust in autonomous driving is quietly growing. Currently, 36% of consumers worldwide consider self-driving cars safe, while 38% express genuine interest in ownership.\nGeography reveals a fascinating divide in cultural attitudes and trust toward AI-driven transportation:\nThe Trust Leaders (High Confidence in AI)\n- Thailand (66%) - Leading the charge with remarkable confidence\n- India (62%) - Strong belief in autonomous technology\n- Malaysia (61%) - High trust in AI-driven transportation\nThe Sceptical Markets (Cautious Approach to AI)\n- France (18%) - Highly cautious approach to autonomous vehicles\n- Belgium (20%) - Conservative stance on self-driving tech\n- Hungary (20%) - Measured scepticism toward AI control\nThe Emerging Market Advantage\nA clear pattern exists in the data: developing markets show significantly higher enthusiasm for autonomous vehicles than mature markets. Several factors drive this positive perception of AI:\n- Infrastructure Opportunity: Building smart transportation systems from scratch.\n- Technology Leapfrogging: Jumping directly to advanced solutions without legacy constraints.\n- Different Risk Perceptions: Viewing AI as potentially safer than current local transportation options.\n- Future-Focused Mindset: Embracing technological solutions to solve urban challenges.\nMeanwhile, established markets like Europe and the United States approach autonomous vehicles with characteristic caution, weighing AI against decades of established driving culture and regulatory complexity.\nBuilding Trust Through ADAS (Advanced Driver Assistance Systems)\nThe pathway to widespread autonomous vehicle adoption requires crafting a careful journey of trust-building through familiarity. Advanced Driver Assistance Systems (ADAS) serve as the perfect \"gateway technologies\" to improve the perception of AI in automobiles:\n- Adaptive Cruise Control teaches drivers to trust AI with speed management.\n- Lane-Keeping Assist demonstrates reliable steering intervention.\n- Emergency Braking proves AI can react faster than human reflexes.\n- Parking Assistance shows AI can handle precise, low-speed manoeuvring.\nEach positive experience with these features deposits trust in the collective bank account, making the leap to full autonomy a natural next step rather than a blind jump.\nThe Road Ahead for AI Mobility\nThe autonomous vehicle revolution must be earned through consistent performance, transparent communication, and gradual exposure to increasingly sophisticated AI capabilities. Building trust in artificial intelligence is not about convincing people to abandon control; it is about demonstrating that AI can be a safer, more reliable partner.\nAs the first edition of a longitudinal study, the 2026 Ipsos Global Mobility Report establishes the baseline against which the world’s mobility transformation will be measured. The car defined the 20th century. What defines the 21st century will depend entirely on whether consumer trust and the perception of AI can finally catch up to the technology.\n- Read Previous Article: The Death of Car Ownership","image_url":"https://www.ipsos.com/sites/default/files/styles/max_1300x1300/public/ct/publication/2026-07/automotive-ai-driving-autonomy-motoring-car.webp?itok=VQ8RBEGF","lang":"en","published_at":"2026-07-27T09:21:42+00:00","fetched_at":"2026-07-27T17:15:04+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles\nThe AI Trust Barrier in Modern Transportation\nPicture this: you speak your destination aloud and sit back with your morning coffee while artificial intelligence navigates rush hour traffic with surgical precision. 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This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.\nIt is not the technology. It is consumer trust.\nSelf-driving cars represent the ultimate leap of faith in artificial intelligence. Unlike asking a virtual assistant for the weather, autonomous vehicles demand we surrender control over our personal safety.\nThese vehicles utilise a symphony of sensors—cameras that see in multiple spectrums, radar that penetrates fog, and LIDAR that maps the world in real-time 3D. Every millisecond, AI algorithms process thousands of data points to make split-second decisions that would overwhelm human drivers. The technology learns continuously across the global fleet. Yet, the trillion-dollar question remains: is the public ready to let go of the steering wheel?\nTechnology Fatigue vs. AI Adoption\nThe 2026 Ipsos Global Mobility Report reveals a striking paradox regarding the perception of AI in automobiles: most people believe modern cars already have too much technology.\nThe baseline data highlights a clear sense of \"technology fatigue\" among global consumers:\nKey figures\n55%\nbelieve cars are oversaturated with tech\n27%\nremain neutral on current tech levels\nOnly 18%\nthink current technology levels hit the sweet spot\nThis fatigue varies dramatically by geography. In Indonesia, Türkiye, and Mexico, over two-thirds of consumers feel overwhelmed by automotive technology. Conversely, markets like China, Sweden, and New Zealand embrace this digital transformation with significantly more enthusiasm.\nThe Trust Equation: Global Attitudes Toward Autonomous Vehicles\nDespite the complexity of modern vehicles, trust in autonomous driving is quietly growing. Currently, 36% of consumers worldwide consider self-driving cars safe, while 38% express genuine interest in ownership.\nGeography reveals a fascinating divide in cultural attitudes and trust toward AI-driven transportation:\nThe Trust Leaders (High Confidence in AI)\n- Thailand (66%) - Leading the charge with remarkable confidence\n- India (62%) - Strong belief in autonomous technology\n- Malaysia (61%) - High trust in AI-driven transportation\nThe Sceptical Markets (Cautious Approach to AI)\n- France (18%) - Highly cautious approach to autonomous vehicles\n- Belgium (20%) - Conservative stance on self-driving tech\n- Hungary (20%) - Measured scepticism toward AI control\nThe Emerging Market Advantage\nA clear pattern exists in the data: developing markets show significantly higher enthusiasm for autonomous vehicles than mature markets. Several factors drive this positive perception of AI:\n- Infrastructure Opportunity: Building smart transportation systems from scratch.\n- Technology Leapfrogging: Jumping directly to advanced solutions without legacy constraints.\n- Different Risk Perceptions: Viewing AI as potentially safer than current local transportation options.\n- Future-Focused Mindset: Embracing technological solutions to solve urban challenges.\nMeanwhile, established markets like Europe and the United States approach autonomous vehicles with characteristic caution, weighing AI against decades of established driving culture and regulatory complexity.\nBuilding Trust Through ADAS (Advanced Driver Assistance Systems)\nThe pathway to widespread autonomous vehicle adoption requires crafting a careful journey of trust-building through familiarity. Advanced Driver Assistance Systems (ADAS) serve as the perfect \"gateway technologies\" to improve the perception of AI in automobiles:\n- Adaptive Cruise Control teaches drivers to trust AI with speed management.\n- Lane-Keeping Assist demonstrates reliable steering intervention.\n- Emergency Braking proves AI can react faster than human reflexes.\n- Parking Assistance shows AI can handle precise, low-speed manoeuvring.\nEach positive experience with these features deposits trust in the collective bank account, making the leap to full autonomy a natural next step rather than a blind jump.\nThe Road Ahead for AI Mobility\nThe autonomous vehicle revolution must be earned through consistent performance, transparent communication, and gradual exposure to increasingly sophisticated AI capabilities. Building trust in artificial intelligence is not about convincing people to abandon control; it is about demonstrating that AI can be a safer, more reliable partner.\nAs the first edition of a longitudinal study, the 2026 Ipsos Global Mobility Report establishes the baseline against which the world’s mobility transformation will be measured. The car defined the 20th century. What defines the 21st century will depend entirely on whether consumer trust and the perception of AI can finally catch up to the technology.\n- Read Previous Article: The Death of Car Ownership","excerpt":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles\nThe AI Trust Barrier in Modern Transportation\nPicture this: you speak your destination aloud and sit back with your morning coffee while artificial intelligence navigates rush hour traffic with surgical precision. This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.","extraction":{"state":"ok","confidence":0.9,"error":null,"explanation":"High confidence: full text extraction produced 5046 characters.","diagnostics_url":"/api/diagnose?url=https%3A//www.ipsos.com/en/your-next-car-might-drive-better-you-perception-ai-automobiles","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 5046 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":5046,"summary_length":410,"usable_text_length":5046,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":5046,"summary_length":410}}},"display_formats":["compact","card","full","digest_section","json"]},"daily_stack_record":{"title":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles - Ipsos","url":"https://www.ipsos.com/en/your-next-car-might-drive-better-you-perception-ai-automobiles","summary":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles\nThe AI Trust Barrier in Modern Transportation\nPicture this: you speak your destination aloud and sit back with your morning coffee while artificial intelligence navigates rush hour traffic with surgical precision. This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.","source":"Ipsos","date":"2026-07-27T09:21:42+00:00","content":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles\nThe AI Trust Barrier in Modern Transportation\nPicture this: you speak your destination aloud and sit back with your morning coffee while artificial intelligence navigates rush hour traffic with surgical precision. This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.\nIt is not the technology. It is consumer trust.\nSelf-driving cars represent the ultimate leap of faith in artificial intelligence. Unlike asking a virtual assistant for the weather, autonomous vehicles demand we surrender control over our personal safety.\nThese vehicles utilise a symphony of sensors—cameras that see in multiple spectrums, radar that penetrates fog, and LIDAR that maps the world in real-time 3D. Every millisecond, AI algorithms process thousands of data points to make split-second decisions that would overwhelm human drivers. The technology learns continuously across the global fleet. Yet, the trillion-dollar question remains: is the public ready to let go of the steering wheel?\nTechnology Fatigue vs. AI Adoption\nThe 2026 Ipsos Global Mobility Report reveals a striking paradox regarding the perception of AI in automobiles: most people believe modern cars already have too much technology.\nThe baseline data highlights a clear sense of \"technology fatigue\" among global consumers:\nKey figures\n55%\nbelieve cars are oversaturated with tech\n27%\nremain neutral on current tech levels\nOnly 18%\nthink current technology levels hit the sweet spot\nThis fatigue varies dramatically by geography. In Indonesia, Türkiye, and Mexico, over two-thirds of consumers feel overwhelmed by automotive technology. Conversely, markets like China, Sweden, and New Zealand embrace this digital transformation with significantly more enthusiasm.\nThe Trust Equation: Global Attitudes Toward Autonomous Vehicles\nDespite the complexity of modern vehicles, trust in autonomous driving is quietly growing. Currently, 36% of consumers worldwide consider self-driving cars safe, while 38% express genuine interest in ownership.\nGeography reveals a fascinating divide in cultural attitudes and trust toward AI-driven transportation:\nThe Trust Leaders (High Confidence in AI)\n- Thailand (66%) - Leading the charge with remarkable confidence\n- India (62%) - Strong belief in autonomous technology\n- Malaysia (61%) - High trust in AI-driven transportation\nThe Sceptical Markets (Cautious Approach to AI)\n- France (18%) - Highly cautious approach to autonomous vehicles\n- Belgium (20%) - Conservative stance on self-driving tech\n- Hungary (20%) - Measured scepticism toward AI control\nThe Emerging Market Advantage\nA clear pattern exists in the data: developing markets show significantly higher enthusiasm for autonomous vehicles than mature markets. Several factors drive this positive perception of AI:\n- Infrastructure Opportunity: Building smart transportation systems from scratch.\n- Technology Leapfrogging: Jumping directly to advanced solutions without legacy constraints.\n- Different Risk Perceptions: Viewing AI as potentially safer than current local transportation options.\n- Future-Focused Mindset: Embracing technological solutions to solve urban challenges.\nMeanwhile, established markets like Europe and the United States approach autonomous vehicles with characteristic caution, weighing AI against decades of established driving culture and regulatory complexity.\nBuilding Trust Through ADAS (Advanced Driver Assistance Systems)\nThe pathway to widespread autonomous vehicle adoption requires crafting a careful journey of trust-building through familiarity. Advanced Driver Assistance Systems (ADAS) serve as the perfect \"gateway technologies\" to improve the perception of AI in automobiles:\n- Adaptive Cruise Control teaches drivers to trust AI with speed management.\n- Lane-Keeping Assist demonstrates reliable steering intervention.\n- Emergency Braking proves AI can react faster than human reflexes.\n- Parking Assistance shows AI can handle precise, low-speed manoeuvring.\nEach positive experience with these features deposits trust in the collective bank account, making the leap to full autonomy a natural next step rather than a blind jump.\nThe Road Ahead for AI Mobility\nThe autonomous vehicle revolution must be earned through consistent performance, transparent communication, and gradual exposure to increasingly sophisticated AI capabilities. Building trust in artificial intelligence is not about convincing people to abandon control; it is about demonstrating that AI can be a safer, more reliable partner.\nAs the first edition of a longitudinal study, the 2026 Ipsos Global Mobility Report establishes the baseline against which the world’s mobility transformation will be measured. The car defined the 20th century. 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This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.","full_text":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles\nThe AI Trust Barrier in Modern Transportation\nPicture this: you speak your destination aloud and sit back with your morning coffee while artificial intelligence navigates rush hour traffic with surgical precision. This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.\nIt is not the technology. It is consumer trust.\nSelf-driving cars represent the ultimate leap of faith in artificial intelligence. Unlike asking a virtual assistant for the weather, autonomous vehicles demand we surrender control over our personal safety.\nThese vehicles utilise a symphony of sensors—cameras that see in multiple spectrums, radar that penetrates fog, and LIDAR that maps the world in real-time 3D. Every millisecond, AI algorithms process thousands of data points to make split-second decisions that would overwhelm human drivers. The technology learns continuously across the global fleet. Yet, the trillion-dollar question remains: is the public ready to let go of the steering wheel?\nTechnology Fatigue vs. AI Adoption\nThe 2026 Ipsos Global Mobility Report reveals a striking paradox regarding the perception of AI in automobiles: most people believe modern cars already have too much technology.\nThe baseline data highlights a clear sense of \"technology fatigue\" among global consumers:\nKey figures\n55%\nbelieve cars are oversaturated with tech\n27%\nremain neutral on current tech levels\nOnly 18%\nthink current technology levels hit the sweet spot\nThis fatigue varies dramatically by geography. In Indonesia, Türkiye, and Mexico, over two-thirds of consumers feel overwhelmed by automotive technology. Conversely, markets like China, Sweden, and New Zealand embrace this digital transformation with significantly more enthusiasm.\nThe Trust Equation: Global Attitudes Toward Autonomous Vehicles\nDespite the complexity of modern vehicles, trust in autonomous driving is quietly growing. Currently, 36% of consumers worldwide consider self-driving cars safe, while 38% express genuine interest in ownership.\nGeography reveals a fascinating divide in cultural attitudes and trust toward AI-driven transportation:\nThe Trust Leaders (High Confidence in AI)\n- Thailand (66%) - Leading the charge with remarkable confidence\n- India (62%) - Strong belief in autonomous technology\n- Malaysia (61%) - High trust in AI-driven transportation\nThe Sceptical Markets (Cautious Approach to AI)\n- France (18%) - Highly cautious approach to autonomous vehicles\n- Belgium (20%) - Conservative stance on self-driving tech\n- Hungary (20%) - Measured scepticism toward AI control\nThe Emerging Market Advantage\nA clear pattern exists in the data: developing markets show significantly higher enthusiasm for autonomous vehicles than mature markets. Several factors drive this positive perception of AI:\n- Infrastructure Opportunity: Building smart transportation systems from scratch.\n- Technology Leapfrogging: Jumping directly to advanced solutions without legacy constraints.\n- Different Risk Perceptions: Viewing AI as potentially safer than current local transportation options.\n- Future-Focused Mindset: Embracing technological solutions to solve urban challenges.\nMeanwhile, established markets like Europe and the United States approach autonomous vehicles with characteristic caution, weighing AI against decades of established driving culture and regulatory complexity.\nBuilding Trust Through ADAS (Advanced Driver Assistance Systems)\nThe pathway to widespread autonomous vehicle adoption requires crafting a careful journey of trust-building through familiarity. Advanced Driver Assistance Systems (ADAS) serve as the perfect \"gateway technologies\" to improve the perception of AI in automobiles:\n- Adaptive Cruise Control teaches drivers to trust AI with speed management.\n- Lane-Keeping Assist demonstrates reliable steering intervention.\n- Emergency Braking proves AI can react faster than human reflexes.\n- Parking Assistance shows AI can handle precise, low-speed manoeuvring.\nEach positive experience with these features deposits trust in the collective bank account, making the leap to full autonomy a natural next step rather than a blind jump.\nThe Road Ahead for AI Mobility\nThe autonomous vehicle revolution must be earned through consistent performance, transparent communication, and gradual exposure to increasingly sophisticated AI capabilities. Building trust in artificial intelligence is not about convincing people to abandon control; it is about demonstrating that AI can be a safer, more reliable partner.\nAs the first edition of a longitudinal study, the 2026 Ipsos Global Mobility Report establishes the baseline against which the world’s mobility transformation will be measured. The car defined the 20th century. 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This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.","source":"Ipsos","date":"2026-07-27T09:21:42+00:00","content":"Your Next Car Might Drive Better Than You: The Perception of AI in Automobiles\nThe AI Trust Barrier in Modern Transportation\nPicture this: you speak your destination aloud and sit back with your morning coffee while artificial intelligence navigates rush hour traffic with surgical precision. This reality is closer than you think, but there is one massive roadblock standing in the way of widespread adoption.\nIt is not the technology. It is consumer trust.\nSelf-driving cars represent the ultimate leap of faith in artificial intelligence. Unlike asking a virtual assistant for the weather, autonomous vehicles demand we surrender control over our personal safety.\nThese vehicles utilise a symphony of sensors—cameras that see in multiple spectrums, radar that penetrates fog, and LIDAR that maps the world in real-time 3D. Every millisecond, AI algorithms process thousands of data points to make split-second decisions that would overwhelm human drivers. The technology learns continuously across the global fleet. Yet, the trillion-dollar question remains: is the public ready to let go of the steering wheel?\nTechnology Fatigue vs. AI Adoption\nThe 2026 Ipsos Global Mobility Report reveals a striking paradox regarding the perception of AI in automobiles: most people believe modern cars already have too much technology.\nThe baseline data highlights a clear sense of \"technology fatigue\" among global consumers:\nKey figures\n55%\nbelieve cars are oversaturated with tech\n27%\nremain neutral on current tech levels\nOnly 18%\nthink current technology levels hit the sweet spot\nThis fatigue varies dramatically by geography. In Indonesia, Türkiye, and Mexico, over two-thirds of consumers feel overwhelmed by automotive technology. Conversely, markets like China, Sweden, and New Zealand embrace this digital transformation with significantly more enthusiasm.\nThe Trust Equation: Global Attitudes Toward Autonomous Vehicles\nDespite the complexity of modern vehicles, trust in autonomous driving is quietly growing. Currently, 36% of consumers worldwide consider self-driving cars safe, while 38% express genuine interest in ownership.\nGeography reveals a fascinating divide in cultural attitudes and trust toward AI-driven transportation:\nThe Trust Leaders (High Confidence in AI)\n- Thailand (66%) - Leading the charge with remarkable confidence\n- India (62%) - Strong belief in autonomous technology\n- Malaysia (61%) - High trust in AI-driven transportation\nThe Sceptical Markets (Cautious Approach to AI)\n- France (18%) - Highly cautious approach to autonomous vehicles\n- Belgium (20%) - Conservative stance on self-driving tech\n- Hungary (20%) - Measured scepticism toward AI control\nThe Emerging Market Advantage\nA clear pattern exists in the data: developing markets show significantly higher enthusiasm for autonomous vehicles than mature markets. Several factors drive this positive perception of AI:\n- Infrastructure Opportunity: Building smart transportation systems from scratch.\n- Technology Leapfrogging: Jumping directly to advanced solutions without legacy constraints.\n- Different Risk Perceptions: Viewing AI as potentially safer than current local transportation options.\n- Future-Focused Mindset: Embracing technological solutions to solve urban challenges.\nMeanwhile, established markets like Europe and the United States approach autonomous vehicles with characteristic caution, weighing AI against decades of established driving culture and regulatory complexity.\nBuilding Trust Through ADAS (Advanced Driver Assistance Systems)\nThe pathway to widespread autonomous vehicle adoption requires crafting a careful journey of trust-building through familiarity. Advanced Driver Assistance Systems (ADAS) serve as the perfect \"gateway technologies\" to improve the perception of AI in automobiles:\n- Adaptive Cruise Control teaches drivers to trust AI with speed management.\n- Lane-Keeping Assist demonstrates reliable steering intervention.\n- Emergency Braking proves AI can react faster than human reflexes.\n- Parking Assistance shows AI can handle precise, low-speed manoeuvring.\nEach positive experience with these features deposits trust in the collective bank account, making the leap to full autonomy a natural next step rather than a blind jump.\nThe Road Ahead for AI Mobility\nThe autonomous vehicle revolution must be earned through consistent performance, transparent communication, and gradual exposure to increasingly sophisticated AI capabilities. Building trust in artificial intelligence is not about convincing people to abandon control; it is about demonstrating that AI can be a safer, more reliable partner.\nAs the first edition of a longitudinal study, the 2026 Ipsos Global Mobility Report establishes the baseline against which the world’s mobility transformation will be measured. The car defined the 20th century. 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