AI AS GAME CHANGER The New Driving Force of the Automotive IndustrySTUDY
Authors & Contact personAuthorDr. Nils SchaupensteinerTransformation AdvisoryNils.Schaupensteiner@mhp.comLeadAugustin FriedelSoftware Defined VehiclesAugustin.Friedel@mhp.comLeadMatthias BorchArtificial IntelligenceMatthias.Borch@mhp.comContact PersonStephan BaierArtificial IntelligenceStephan.Baier@mhp.comAuthorMarcus WillandMobility Marcus.Willand@mhp.comAuthorPatrick RuhlandTransformation AdvisoryPatrick.Ruhland@mhp.comThe study “AI as Game Changer“ and its summary were published by: MHP Gesellschaft für Management- und IT-Beratung mbHAll rights reserved!No reproduction, microfilming, storage, or processing in electronic media permitted without the consent of the publisher. The contents of this publication are intended to inform our customers and business partners. They correspond to the state of knowledge of the authors at the time of publication. To resolve any issues, please refer to the sources listed in the publication or contact the designated contact persons. Opinion articles reflect the views of the individual authors. Rounding differences may occur in the graphics.3AI as Game Changer |
ContentsContents 4Table of figures 612 Key Findings 8Welcome to Change! 1001. Revolution and Automotive Market Potential 1102. Investment in Companies With an AI Focus 1503. Pilot Projects and Implementation 1904. AI Models, Levels, and Use Cases 234.1 The Game Changer: What Can Be Achieved With AI 264.2 Automobile Manufacturers With Low AI Investment 294.3 AI Models: Make or Buy? 2905. AI Applications Along the Automotive Value Chain 315.1 AI Operation in Vehicles and in the Cloud 355.2 AI Monetization in Vehicles 395.3 Added Value of AI Applications in Companies 4006. What the Customer Wants: The User Perspective 476.1 Use and Understanding of AI Applications 496.2 Advantages and Disadvantages – Generally and in Vehicles 496.3 Purchasing Decision, Trust and Willingness to Pay 514
07. Success Factors and Strategic Approach 557.1 Strategy and Goal Planning 567.2 Think from the Perspective of the Customer, not the Technology 567.3 Organizational Anchoring and Ownership 587.4 Local Differences require local Setup 597.5 Reducing Complexity 597.6 Use and Monetization of Data 607.7 Checklist for successful Implementation 6108. Challenges, Responsibility, and Risks 638.1 Costs of Training and Operation 648.2 Data and Digitalization as a Basis 658.3 Business Models and Cases for B2C and B2B 658.4 Ethics and Responsibility 678.5 New Risks and Regulatory Challenges 6909. AI Applications in the Automotive Industry: 7 Recommendations for Action 7110. Further Informations 75Literature and Sources 76Contact International 78About MHP 795AI as Game Changer | Contents
Table of figuresFigure 1: Technology super cycles – artificial intelligence as the next relevant platform shift (Coatue, 2024) 12Figure 2: AI market size in the autom...
