Automotive Industry Shifts Intellectual Property Priorities Amid Rising IP Theft and AI Patent Eligibility Concerns

Intellectual property (IP) concerns in the automotive industry have undergone a notable transformation over the past year, according to a recent survey analyzed by legal experts. The most dramatic shift is the steep decline in worries about AI-related ownership disputes, which dropped from 69% last year to 35% this year. This change suggests that clearer contracting practices or a shift in focus toward more immediate threats have reduced ambiguity around AI-generated innovations.

The survey further breaks down AI-related concerns into distinct categories. Patent eligibility for AI inventions under evolving U.S. law now captures 30% of respondents' attention, reflecting adjustments following the 2025 Ex parte Desjardins decision and updated USPTO guidance. Companies are recalibrating their patent filing strategies as the scope for AI-related patent eligibility broadens. Additionally, inventorship disputes over AI-generated content account for 22% of concerns, representing a more specific subset of the broader AI ownership issues noted previously.

Counterfeit automotive parts remain a persistent challenge, though concern has slightly declined from 33% to 29%. This indicates that auto components continue to be among the most frequently counterfeited industrial products worldwide. Meanwhile, software-defined vehicle (SDV) intellectual property licensing risks have emerged as a new explicit concern at 23%, underscoring the growing value of software and connectivity over traditional hardware components.

Concerns about joint research and development (R&D) project ownership disputes have decreased marginally by 4 percentage points to 18%, suggesting that collaborative frameworks in the industry are maturing and becoming more effective.

Among all IP issues, theft commands the highest level of concern, cited by 52% of respondents—an increase from 50% last year. This sustained majority highlights the escalating difficulty in protecting proprietary information as competitive advantages increasingly hinge on software algorithms, battery chemistries, and manufacturing processes that are more vulnerable to misappropriation.

The nature of IP theft has evolved alongside technological advancements. Software can be copied in seconds, battery formulations reverse-engineered, and manufacturing innovations easily photographed and replicated. Departing employees pose a significant risk, especially engineers with expertise in electric vehicles (EVs), batteries, and autonomous systems who may transfer proprietary code, designs, or datasets to competitors.

Global automotive supply chains add complexity, as proprietary information passes through organizations with varying security standards across multiple jurisdictions. Cyber intrusions targeting automotive IP have grown more sophisticated, with actors—including state-sponsored competitors—using advanced methods to exfiltrate technical data.

Online marketplaces facilitate the rapid global distribution of stolen IP, either as counterfeit parts incorporating misappropriated designs or as digitally reproduced software and algorithms. In response, companies are implementing comprehensive protection strategies that extend beyond reactive litigation.

Trade secret programs now emphasize technical controls on data access, employee training on confidentiality obligations, and exit procedures to recover company property. Supplier contracts increasingly include explicit provisions governing the handling, storage, and return of proprietary technology.

When theft occurs, companies often pursue a combination of trade secret litigation, criminal referrals, customs enforcement, and coordinated campaigns targeting multiple defendants. Forensic investigations of employee departures, emergency restraining orders, and cross-border enforcement actions have become routine components of IP protection efforts.

Additionally, experts recommend fighting counterfeits through coordinated enforcement strategies that combine trademark and design enforcement with national customs recordation programs and digital authentication features. Targeting upstream manufacturers rather than solely downstream resellers enhances effectiveness.

Clarifying AI ownership upfront in development agreements is also critical. Contracts should explicitly allocate rights to trained models, improvements, and derivative algorithms while defining any limitations on AI use to prevent disputes over AI-generated innovations.

Finally, SDV licensing agreements require robust provisions addressing ownership, exclusivity, fields of use, and post-termination rights to avoid stranded software or immobilized vehicle functions.

This evolving landscape underscores a sobering reality: in a technology-intensive, globally distributed, and talent-mobile automotive industry, the intellectual property that defines competitive advantage is more valuable—and more challenging to protect—than ever before.