This article first appeared in Forbes Business Council.
In a world increasingly shaped by artificial intelligence, data is no longer just an output of your product or service; it’s a strategic input. And when it comes to understanding where innovation is headed, patent analytics offer a window into the future. They don’t just tell us what’s been invented, they reveal where capital is flowing, how business models are evolving and where the next competitive advantage may lie. Since the 2011 American Invents Act, when the U.S. became a first-to-file patent system, the filing of patents by technology companies surged as a strategic imperative. I’ve spent the last 15 years studying patents to identify trends and look for big picture insights.
As AI becomes foundational to every sector, patent filings continue to rise, providing rich indicators of future trends. There are already nearly 100,000 patents filed related to AI, and that number grows every day. Yet a deeper look reveals a subtle shift. While early filings were dominated by core infrastructure: algorithms, chips and data processing, the next wave of valuable patents will emerge at the convergence of AI and human experience. Further, the brand loyalty being earned by some companies will surpass the value of technical patents, suggesting that careful consideration of the IP value of brand characteristics could be equally important.
Why Patent Analytics Matter More Than Ever
Patent analytics provide far more than a snapshot of legal claims. They are a real-time map of the innovation landscape. Strategic use of these tools can help business leaders:
• Identify new opportunities in saturated markets
• Track competitor investments in R&D
• Evaluate emerging technologies before they disrupt the core business
• Spot adjacent-market trends before they hit mainstream media
In the context of AI, this is particularly critical. With generative models, edge computing and multimodal platforms evolving rapidly, analytics allow companies to separate hype from substance. For example, while many headlines in 2024 focused on consumer-facing AI tools, patent data showed surging activity in AI model compression, hardware acceleration and privacy-preserving technologies. These are the invisible engines that will power the next generation of enterprise AI.
But the most forward-looking insight may not be in what’s being patented now, but in what isn’t yet being fully captured: the integration of AI into human systems of work, processes they use with AI, service and experience.
From Invention To Integration
AI doesn’t operate in a vacuum. Its real value is realized in context when embedded into processes, decision-making and customer experiences. Yet today’s patent strategies still tend to focus on technical components.
This is a missed opportunity.
The next generation of AI-related intellectual property will be shaped by how well organizations leverage algorithms with workflows, user environments and human interpretation, as well as trust or brand value. That’s where the “last mile” of value is created, and it’s where the IP strategy needs to evolve.
Consider the following examples:
• In healthcare, an AI model that flags anomalies in scans is valuable, but the patentable system may be one that integrates that flag with a physician’s workflow, clinical history and treatment guidelines.
• In retail, an AI tool that predicts inventory needs is useful, but the real innovation is in how it’s operationalized across logistics, procurement and front-line staff decisions.
• In hospitality, a smart system that recommends treatments may matter less than the method by which a human concierge interprets those insights and curates a five-star guest experience.
These aren’t just features. They’re systems and processes followed by humans in a fundamentally human way, and increasingly, they represent patentable methods and integrated solutions, especially under U.S. utility patent standards when tied to a tangible result or process.
Human Experience: The Next Patent Frontier
The fusion of AI and human insight will define the next frontier of innovation. And patent analytics can help illuminate it.
We're entering an era where AI doesn't just perform tasks, it collaborates with humans in real-time environments. The resulting solutions are deeply experiential. And that makes them harder to replicate and more valuable to protect.
As leaders, this means rethinking your R&D and IP strategies in three ways:
1. Expand your definition of innovation to include delivery models, workflows, service-enhancing systems and brand trust, not just code and hardware.
2. Use patent analytics to identify hybrid innovation zones, industries or processes where human judgment and machine intelligence converge, such as legal tech, mental health diagnostics or luxury services.
3. Align your IP strategy with your customer experience strategy. If AI is changing how your teams deliver value, there’s a strong chance that the process itself is a candidate for protection.
The Strategic Imperative
Too often, executives view patents as a cost center, or legal formality or a final step in a linear process. In the AI age, they are a strategic asset, a reflection of how your organization creates value and a road map to where it’s going next. Embedding strategic thinking about IP into your AI plan is not just smart, it is essential. I haven’t even addressed the other side of the equation—managing risk against infringement, where strategic IP analytics give you an edge.
And the smartest IP strategies won’t just defend past inventions; they’ll signal future direction. That’s why analytics are so powerful. They help you see around corners, anticipate disruption and make confident decisions about where to invest next.
Innovation is no longer confined to the lab or codebase. It happens at the point where machines augment human capabilities, where algorithms inform expertise and where process meets purpose. In that space, your next great innovation that differentiates your company, your brand, your product, your service, may be waiting. Consider integrating IP analytics into your company’s strategic road map for success.


















