AI and Intellectual Property Rights Concerns in Content Creation
Management emphasized the importance of protecting intellectual property rights amidst the rise of AI, highlighting ongoing legal actions against companies that violate IP rights.
CEO Robert Thomson expressed concern over AI profiting from creators' works without proper compensation, citing examples like President Trump's books.
Thomson warned that derivative AI works could undermine the value of original content and threaten the content ecosystem.
The company is actively negotiating with AI firms to secure IP rights and prevent misuse of proprietary content.
EPAM's Strategic Focus on AI-Native Transformation
EPAM emphasizes its positioning as an AI-native transformation company, with double-digit growth in AI-native revenue, driven by high client adoption of AI initiatives beyond experimental phases.
The company has developed proprietary platforms like DIAL and AI/RUN, enabling clients to deploy AI at scale without proprietary lock-in, fostering enterprise-wide AI integration.
Management highlights that AI embedding increases complexity, driving demand for their end-to-end AI-optimized execution, organizational enablement, and transformational services.
AI-Driven Innovation in Research and IP Management
Clarivate launched 10 AI-powered capabilities since October 2024, including Agentic AI solutions that enable autonomous multistep processes.
The new literature review agent in Web of Science interacts with researchers to customize literature reviews, mimicking human assistants.
AI tailwinds are expected to benefit the patent renewal business, with a fivefold increase in AI-related patent filings over the past year, especially in China.
Outsell recognized Clarivate as a leader in AI among scholarly research organizations, emphasizing its pioneering AI development.
ASGN launched the AI Innovation Center to enhance innovation, optimize resources, and promote AI-driven growth, featuring development environments, a repository of IP, best practices, and technology evaluation.
The center develops solution accelerators, such as financial agents, code discovery tools, network security assistants, and AWS Agentic AI tools, to solve specific business problems and deploy cost-effective solutions.
AI University provides upskilling resources for sales and technical teams, fostering continuous innovation and relevance in AI advancements.
Management emphasizes that AI investments are integrated into the company's broader strategy to build proprietary IP and support long-term growth, with a focus on account and deal-specific IP development.
AI-First Business Transformation and Client Impact
Grid Dynamics is aligning its entire business around an AI-first approach, infusing AI into go-to-market, service offerings, delivery, and talent management.
AI and Data contributed 23% to overall organic growth in H1 2025, growing nearly 3x faster than the overall business.
Clients are increasingly seeking AI-native partners to lead enterprise AI adoption, with measurable impacts such as over 5% conversion improvements from conversational commerce.
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