The Humanoid Economy Format: ED

The insider account of how humanoid robotics is evolving into a global commercial movement

The humanoid robotics market will reach multi-trillion-dollar scale over the coming decades, with projections of up to $5T by 2050. The Humanoid Economy: What Physical AI Means for Investment, Industry, and the Future of Work maps the full architecture of this shift―its technical foundations, financial realities, cultural dynamics, and geopolitical stakes―written by a venture capitalist and ecosystem builder at the center of the field.

Across seven chapters, The Humanoid Economy traces why the humanoid form factor fits human-built environments, how convergences in AI maturity and global labor shortages created the inflection point, what it takes to engineer and deploy a humanoid system, and how venture capital, policy frameworks, safety standards, and global summits combined to build an entire ecosystem around the field.

Readers will also discover:

• How investment platforms, emerging standards efforts, and policy proposals such as the U.S. Humanoids Act shape commercialization
• The technical convergences in sensor fusion, computer vision, and embodied intelligence driving physical AI systems from research labs toward real-world deployment
• Frameworks for evaluating humanoid ventures, including funding models, go-to-market strategies, and portfolio construction in physical AI
• How global labor shortages, cultural readiness, and geopolitical competition accelerated the humanoid robotics inflection point
• Strategies for responsible scaling, including workforce adaptation, human–robot collaboration models, and safety standards development

Written for venture capitalists, C-suite executives, robotics founders, and policymakers, The Humanoid Economy delivers the technical depth, financial analysis, and strategic perspective required to evaluate and participate in the transition from fragmented robotics research to coordinated global commercialization.

MODAR ALAOUI is the founder and general partner of ALM Ventures, a Silicon Valley venture capital firm focused on humanoids, physical AI, and spatial intelligence. He is also the founder and chair of the Humanoids Summit, a global forum that brings together leading builders, investors, and operators shaping humanoid robotics, with editions in Silicon Valley, Tokyo, and London. He operates at the intersection of capital, strategy, and infrastructure, and has played a central role in advancing the humanoid robotics ecosystem toward commercial deployment and mass production.

Modar is the founder and chair of the Bay Area Robotics Association (BARA), a member-led industry organization established to connect capital, startups, enterprises, and public sector stakeholders across Silicon Valley and global robotics hubs. He created International Humanoids Day, a global initiative advancing “humanoids for humanity,” aligning industry leaders around ethical development, global standards, and international collaboration in humanoid robotics. He contributes to policy efforts shaping US humanoid strategy and long-term deployment frameworks, helping strengthen US competitiveness in physical AI.

Earlier in his career, Modar founded Eyeris, where he developed computer vision and sensor fusion AI systems for in-cabin sensing. His work combined software and hardware across perception and edge compute, providing hands-on experience with real-world systems operating around people.

He studied behavioral science and communication at Concordia University in Montreal, forming the foundation for his work in human behavior understanding and machine perception. This combination of behavioral insight and physical AI systems continues to inform his work in humanoids and real-world autonomy.

His work and perspectives have been featured in major media outlets including Bloomberg, CNBC, The Wall Street Journal, Reuters, Wired, and Forbes. In The Humanoid Economy, he draws on his role in building the humanoid robotics ecosystem to frame the next phase of industrial transformation.