Executive Summary
In this post, Joel Lutzker, Managing Director of Ocean Tomo, a part of J.S. Held, and James E. Malackowski, Chief Intellectual Property Officer of J.S. Held, examine artificial intelligence through the lens of intellectual property and intangible asset management. They argue that AI is more than a technology capability. AI systems comprise valuable assets, including data, compute, and algorithms, that may be recognized, protected, valued, licensed, and monetized. As organizations continue to invest in AI, legal and business leaders should consider how these assets contribute to enterprise value, competitive advantage, transactions, and licensing strategies. The discussion addresses the protection of AI-related assets, the growing importance of data, the role of intellectual property in supporting valuation and monetization, emerging opportunities created by regulation and responsible AI initiatives, and the risks associated with failing to properly manage AI assets. For both in-house and outside counsel, AI increasingly presents intellectual property, governance, transaction, and business considerations that extend well beyond traditional technology and compliance frameworks.
Introduction
Artificial intelligence is often discussed in terms of innovation, governance, and risk. Equally important, however, is its growing role as intellectual property.
In a recent article, Joel Lutzker, Managing Director of Ocean Tomo, a part of J.S. Held, and James E. Malackowski, Chief Intellectual Property Officer of J.S. Held, explored how organizations can recognize, protect, value, and monetize AI-related assets.
The questions and answers below highlight key themes from their analysis and present considerations for in-house and outside counsel evaluating the business implications of AI as intellectual property.
Question 1: Should AI be treated as intellectual property, and what components of AI can be protected?
Answer:
AI systems are composed of three foundational components: data, compute, and algorithms. These components can be viewed through the lens of IP, offering distinct opportunities for asset recognition, protection, valuation, and monetization. Data can be protected as a trade secret or under copyright law. Compute-related innovations can qualify for patent protection or be protected as trade secrets. Algorithms may be protected by patents, copyrights, and trade secrets depending on the nature of the innovation. The article concludes that AI systems constitute recognizable intangible assets under International Financial Reporting Standards and require multifaceted protection strategies.
Question 2: Is data becoming the most valuable AI asset?
Answer:
Among the three foundational components of AI, data often stands out as the most fundamental and valuable. High-quality, relevant, and contemporaneous data can significantly reduce reliance on complex algorithms and expensive compute resources. In many cases, data can drive superior AI performance, making it the cornerstone of AI value creation. The demand for data by AI platforms has been compared to a “gold rush,” and AI training data is described through the observation that “data is the fossil fuel of AI.”
Question 3: Can AI innovations be recognized as business assets?
Answer:
Applying IAS 38, AI innovations satisfy the requirements for intangible asset recognition through identifiability, control, measurement, and monetization. AI components can be licensed, transferred, and commercialized independently. Organizations control AI assets through technical measures, legal protections, and operational controls. AI development costs are typically well documented, and future economic benefits can be demonstrated through operational efficiencies, new revenue streams, cost reductions, and competitive advantages.
Question 4: How does AI intellectual property create measurable enterprise value?
Answer:
AI innovations generate economic value through internal use, external licensing, technology transfer, and enhanced business valuations. Organizations that implement strategic AI IP management can realize significant financial benefits. The article cites licensing arrangements valued at more than $250 million and notes that AI companies command substantially higher valuation multiples than traditional software companies. AI M&A transactions demonstrate premium valuations for companies with strong intellectual property portfolios because protected AI assets provide sustainable competitive advantages and reduced integration risks.
Question 5: Which industries are creating the greatest opportunities for AI intellectual property?
Answer:
The article highlights life sciences, healthcare, manufacturing, transportation, agriculture, and energy. Examples include drug discovery, diagnostic imaging, predictive maintenance, quality control, supply chain optimization, autonomous vehicles, crop optimization, and intelligent energy infrastructure. According to the article, the broad applicability of AI across numerous industries and types of IP creates a robust environment for the valuation and monetization of AI as IP.
Question 6: How are regulation, compliance, and responsible AI creating new categories of intellectual property?
Answer:
The regulatory landscape for AI is evolving rapidly, creating both compliance challenges and IP protection opportunities. The article identifies opportunities associated with technologies that address regulatory requirements, including bias detection and mitigation, explainability and interpretability, privacy-preserving AI technologies, and robustness and security technologies. It concludes that IP protection for regulatory compliance technologies becomes increasingly valuable as regulatory requirements proliferate and compliance costs increase.
Question 7: What competitive advantages will matter most as AI technologies mature?
Answer:
The article predicts that competitive advantages will increasingly shift from core algorithms to implementation expertise, operational knowledge, and data assets. It also suggests that trade secret protection will become increasingly important as AI technologies mature and become more widely available. Companies that develop comprehensive trade secret protection programs will be better positioned to maintain competitive advantages.
Question 8: What opportunities and risks does AI create for the legal profession?
Answer:
The emergence of AI as intellectual property creates substantial opportunities for legal practitioners willing to develop specialized expertise. Opportunities extend beyond traditional IP law to include AI governance, regulatory compliance, technology transactions, and strategic planning services. At the same time, organizations that fail to protect their AI innovations face significant risks, including competitive disadvantage, reduced valuations, and missed monetization opportunities. The article concludes that practitioners who develop appropriate expertise will be well-positioned to benefit from favorable supply-demand dynamics, while those who delay may face permanent competitive disadvantages.
Conclusion
The discussion surrounding artificial intelligence often focuses on innovation, regulation, and risk. Equally important is the growing recognition that AI systems comprise assets that can be protected, valued, licensed, and monetized. For legal and business leaders alike, viewing AI through the lens of intellectual property provides a framework for understanding how these assets contribute to enterprise value, support competitive advantage, and create new opportunities for growth. Organizations that approach AI strategically as intellectual property will be better positioned to protect and realize the value of their investments as the technology continues to evolve.
To explore this topic, contact James E. Malackowski at [email protected] | +1 312 327 4410 or Joel Lutker at [email protected] | +1 203 542 7219.
