Boston, Massachusetts, United States
I believe the next era of intelligence will not be defined by the machines we build but by how well we understand ourselves while building them. That's what I call Humanist Superintelligence. I'm an economist and AI strategist working at the intersection of enterprise transformation, the agentic economy, and the coming convergence of AI and quantum computing. My thesis: AI and quantum are not parallel tracks. They are the same track — each one unlocking the other. The organizations that internalize this now will lead the next decade of compute, capital, and human possibility. Over the past year, I stepped back from the corporate ladder intentionally — to research, write, and think at a deeper level. I'm currently writing a book on the economics of intelligence and human agency in an AGI world. I built a public voice on agentic AI, intelligence abundance, and quantum-classical compute architecture. I attended events at MIT, Harvard, and the World Economic Forum — not as a spectator, but as someone with something to say. Before that, I was in the arena: At Lumentum Holdings, I led an enterprise OpenAI GPT-RAG implementation closing the gap between AI potential and real business value. At Volvo Group, I helped build Dr. Volvo, an AI-powered diagnostic product that redefined intelligent service in the automotive industry. My foundation is cross-disciplinary: an economics degree, a STEM MBA from Simon Business School (University of Rochester), and years operating across manufacturing, photonics, and enterprise software in the Americas and Europe. I'm trilingual — English, Spanish, Portuguese. I'm now looking for my next chapter: a role where strategy, AI, and big-picture thinking matter — and where the question isn't just "what can AI do?" but "what should we build, and why?" → Writing & brand: Website: pricapa.com | IG: @pri_ricapa AI Product Strategy & Roadmapping · LLM / RAG / GPT Deployment · Enterprise AI Governance · Go-to-Market Execution · ROI Modeling & Econometric Analysis · Executive Decision Frameworks · Competitive & Market Intelligence · Cross-Functional Leadership · Change Management & Adoption · Finance & Operations (CFO-level) · BI & Advanced Analytics · Trilingual: EN / ES / PT
Selected as a Community Leader for the Claude Community program by Anthropic, chosen from more than 90,000 applicants globally. Based in Boston, MA. Host quarterly workshops and events focused on applied AI, enterprise transformation, and organizational readiness for AI adoption. Bring together founders, operators, researchers, and practitioners across the Boston AI ecosystem to work through real implementation challenges, not just theory. Backed by Anthropic with funding and resources. Community-driven in practice.
• Contributed to the evaluation and implementation of a strategic @OpenAI partnership, collaborating with Legal, IT, and executive stakeholders on governance and deployment frameworks. • Coordinated cross functional teams across different business units to develop AI use cases and pilot internal automation initiatives. • Led development efforts for an internal RAG system to automate knowledge retrieval and reporting workflows, improving forecasting accuracy and reducing reporting time. • Defined and prioritized AI roadmap initiatives for the business unit based on feasibility, ROI, and operational impact. • Delivered internal AI enablement sessions and prompt engineering workshops to support enterprise-wide adoption.
Conducted enterprise-level AI market analysis assessing impact of AI, AGI, and supercomputing on Lumentum’s Imaging & Sensing Business Unit. • Developed short and long-term scenario modeling for LiDAR revenue exposure and AI-driven infrastructure expansion. • Identified strategic opportunities across datacenter optics, cloud interconnect, and autonomous systems. • Delivered executive-level AI strategy presentation to senior leadership outlining partnership pathways and BU roadmap implications. • Designed and delivered AI Sales Training and authored AI market updates for internal stakeholders. • Proposed integrated AI roadmap framework to increase cross-BU alignment and ecosystem positioning.