ISF Voices 2025: Preparing for the Robotic Workforce
Hello, I’m Ylli Bajraktari, President of the Special Competitive Studies Project. In this special edition of SCSP’s newsletter, we continue our ISF Voices series. Launched earlier this year, ISF Voices showcases writing by current fellows in SCSP’s International Strategy Forum (ISF) program. Each piece reflects the unique vantage points of emerging leaders from around the world working to shape the future of geopolitics, technology, and democracy.
Today’s piece is by David Timis, a Brussels-based Global Communications & Public Affairs Manager at Generation, a global employment nonprofit that trains and places adults into careers that would otherwise be inaccessible. In his article, David explores how humanoid robots are reshaping the future of work worldwide.
2025 ISF Fellows: A Dynamic Week in Kosovo
We just wrapped up four enlightening and productive days with our 2025 ISF Fellows in Pristina, Kosovo!
This convening left us inspired by Kosovo’s talent and commitment to the future. It served as a dynamic intersection of geopolitics, innovation, and leadership, all framed by the strategic challenges of the AI era. Fellows engaged in high-level dialogues with political leaders, took a deep dive into the local tech scene, and explored Kosovo’s globally influential arts and culture. Check out our socials for more!
Thank you to all our incredible speakers, partners, and the resilient people of Kosovo for hosting the 2025 ISF Fellows!
Disclaimer: The views expressed in this article are those of the author and do not reflect those of the Special Competitive Studies Project (SCSP), the International Strategy Forum (ISF), or any affiliated persons and institutions.
Navigating the Humanoid Robot Revolution
Implications for Labor Markets & the Future of Work
Humanoid robots, once the stuff of science fiction, are rapidly becoming a tangible reality with significant implications for the global workforce. Unlike earlier industrial robots, which were confined to structured environments, humanoid robots are designed to operate in spaces built for humans, performing intricate tasks and integrating seamlessly into various professional settings. This shift marks a new frontier in automation, promising both transformative opportunities and formidable challenges for economies and societies.
This analysis explores the likely impact of humanoid robots on the future of work, drawing on historical patterns of technological disruption, the current state of robotics, and projections for future trends. The goal is to inform policymakers, industry leaders, and civil society about the coming changes and to encourage proactive, human-centered strategies that ensure the benefits of automation are widely shared.
Historical Context of Labor Automation
The interplay between labor markets and automation is centuries old. The First Industrial Revolution, for example, saw a massive shift from manual, agrarian work to mechanized production, leading to both increased efficiency and significant job displacement. The introduction of the steam engine and mechanized looms improved productivity but also threatened established crafts, sparking resistance such as the Luddite movement.
Subsequent technological waves—like the printing press, electrification, and the digital revolution—have followed a similar pattern: old jobs are lost, but new ones emerge. The printing press, for instance, made scribes obsolete but created roles in publishing and distribution. Electrification replaced manual factory work with machine operation, but also generated demand for electricians and engineers.
Today, humanoid robots are moving from concept to reality, driven by advances in artificial intelligence (AI), machine learning, computer vision, and robotics hardware. These robots are already being tested in sectors such as manufacturing, logistics, and healthcare, where they promise to boost efficiency, improve safety, and redefine human roles.
However, history warns that without proactive policy, technological progress can worsen inequality by concentrating wealth among those who control automation. While new technologies threaten some jobs, they also empower workers by expanding their capabilities and creating new employment categories. Policymakers must learn from past transitions to ensure an inclusive shift, minimizing disruption and maximizing shared prosperity.
Current State of Humanoid Robotics
Humanoid robots have evolved from academic curiosities to sophisticated machines with practical applications. Their progress is fueled by advances in AI and robotics, enabling them to perform complex tasks requiring fine motor skills, navigation, and basic decision-making.
Applications in Industry
Currently, humanoid robots are being piloted in manufacturing, logistics, and healthcare:
Manufacturing: Robots are tested for intricate assembly, precision inspection, and material handling. Their human-like form allows them to use existing tools and facilities, reducing the need for costly redesigns.
Logistics: They handle picking, placing, stacking, and navigating complex warehouses, complementing human workers in labor-intensive settings.
Healthcare: Robots deliver supplies, assist with patient transport, and provide basic support services, freeing medical staff for more complex care.
Leading companies—such as Boston Dynamics (Atlas and Spot), Honda (with its long-standing ASIMO project), SoftBank Robotics, Agility Robotics (Digit), Apptronik (Apollo), Tesla (Optimus), and Figure AI—are pushing the boundaries of what humanoid robots can do, moving from impressive demonstrations to reliable, scalable industrial performance.
Geopolitical Dynamics & the Innovation Race
The development of humanoid robotics is not occurring in a vacuum; it is increasingly a core component of great power competition. The People’s Republic of China (PRC) has made humanoid robotics a national priority, with significant state-backed investment and a rapid pace of innovation aimed at achieving global leadership. This focus on a “whole-of-society” approach to AI and robotics contrasts with the more decentralized, private-sector-led innovation in the United States and its allies.
The US, while home to some of the most advanced robotics companies, is currently less focused on a coordinated national strategy for international institutions and standard-setting, which could cede influence to other nations. This dynamic creates a critical challenge: without a unified, human-centered approach from democracies, global standards for humanoid robot development, from safety protocols to ethical use, could be shaped by powers with different values and priorities.
Design and Capabilities
Humanoid robots differ from traditional industrial robots in their adaptability and ability to interact naturally with humans. Equipped with advanced sensors (LiDAR, cameras, force sensors) and actuators, they can walk, run, navigate stairs, and manipulate objects with increasing dexterity. Modern AI enables them to learn tasks by demonstration, adapt to new situations, and make real-time decisions.
Potential Benefits
The judicious deployment of humanoid robots across various sectors presents an array of potential benefits, capable of significantly enhancing labor market outcomes and driving broader societal improvements. These advantages encompass a marked improvement in workplace safety, increases in productivity and the creation of new jobs.
Improved Workplace Safety
Robots can undertake dangerous tasks in hazardous environments, reducing injuries and fatalities. In industries like manufacturing, construction, and energy, robots can handle extreme temperatures, toxic chemicals, and heavy machinery, enhancing safety and compliance while lowering insurance and legal costs. Drones and mobile robots can inspect hazardous sites, collect data, and perform minor interventions without endangering humans.
Increased Productivity and Efficiency
Robots excel at repetitive tasks, delivering consistent speed and precision. Studies show that AI tools can boost productivity by 14%, speed up task completion by 25%, and improve output quality. In physical labor, humanoid robots automate monotonous or strenuous tasks, allowing human workers to focus on higher-level, creative, and strategic work. This synergy maximizes the strengths of both humans and machines.
Bridging the Skills Gap and Job Creation
While robots may displace some jobs, they also create new roles in design, deployment, maintenance, and oversight of robotic systems. This shift requires investment in retraining and upskilling so workers can transition into new, higher-value roles. Historical trends show that technological advances often lead to the emergence of new occupations and industries. As automation spreads, new jobs—such as robot technicians, AI ethicists, and human-robot interaction designers—will offset losses in traditional roles, fostering a more adaptable and skilled workforce.
Potential Challenges
While the transformative potential of humanoid robot deployment is undeniable, its integration into the workforce presents several significant and multifaceted challenges that demand proactive and strategic policy responses to ensure a smooth transition and to effectively mitigate adverse effects on workers and broader labor markets.
Economic Disruption and Job Displacement
Automation could displace hundreds of millions of jobs globally by 2030, especially in sectors with repetitive or physically demanding tasks. Unmanaged displacement risks higher unemployment and social unrest. History shows that technological change often brings initial job losses and economic anxiety, especially for low-skilled workers.
Technical Limitations and Implementation Costs
Humanoid robots still face technical hurdles, such as robust mobility in complex environments and fine motor skills for delicate tasks. High upfront costs for robots and supporting infrastructure are barriers, particularly for small and medium-sized enterprises, potentially widening the gap between large and small businesses.
Workforce Adaptation and Skills Mismatches
Transitioning the workforce to new roles requires widespread reskilling and upskilling. Many workers fear displacement and may struggle to acquire the skills needed for jobs involving robot supervision and collaboration. Education institutions often lack adequate funding and support. Without robust training pathways, many workers risk being left behind.
Policy Recommendations
To effectively navigate the complex landscape shaped by the emerging humanoid robot revolution and ensure a future where automation serves humanity’s collective benefit, proactive and coordinated policy interventions are essential across all levels of governance. These recommendations are designed to foster innovation, while mitigating disruption.
For Governments:
Invest in National Workforce Transformation Funds: Establish and fund national initiatives dedicated to lifelong learning, focusing on massive upskilling and reskilling programs. These funds should be accessible to all workers, prioritizing those in roles most vulnerable to automation. Programs should emphasize “human-centric” skills (critical thinking, creativity, emotional intelligence, collaboration) and digital/AI literacy.
Develop AI-Ready Education Curricula: Revamp national education curricula from primary school through higher education to integrate foundational AI literacy, computational thinking, and data science. Foster partnerships between educational institutions and industry to ensure skills taught align with future job market demands.
Implement Adaptive Social Safety Nets: Explore and pilot flexible social protection mechanisms, such as portable benefits (linked to individuals, not employers), universal basic services, or conditional income support. These measures would provide a crucial safety net during periods of job transition or displacement.
Incentivize Human-AI Collaboration Research: Fund research initiatives that focus on optimizing human-robot collaboration models, rather than solely on full automation. Provide grants and tax incentives for companies developing AI systems designed to augment human capabilities, and improve workplace ergonomics.
For International Institutions:
Convene Global Dialogues on AI Governance and Labor: Facilitate cross-border dialogues and working groups at organizations like the United Nations, the International Labor Organization (ILO), Organization for Economic Cooperation and Development (OECD), World Bank) to establish international norms, standards, and best practices for the ethical development and deployment of humanoid robots and AI in the workplace. Harmonize approaches to labor rights, data protection, and AI ethics.
Develop Global Skill Taxonomy and Foresight: Collaborate to create a standardized global taxonomy of future-ready skills, regularly updated to reflect AI and robotics advancements. Publish joint reports and foresight analyses on projected job displacement and creation, offering detailed regional and sectoral insights to inform national policy development in both developed and developing countries.
Support Developing Nations in AI Adoption: Establish dedicated funds and technical assistance programs to help developing countries invest in critical AI infrastructure, build local AI talent pools, and implement responsible AI policies. Focus on leveraging AI for sustainable development goals, ensuring that these nations can harness the benefits of AI without exacerbating existing inequalities.
Promote Inclusive Technology Transfer: Facilitate the equitable transfer of AI and robotics technologies and expertise to developing nations, ensuring that the benefits of automation are not confined to a few technologically advanced regions. This includes supporting open-source AI initiatives and collaborative research projects.
For Industry:
Collaborate on Industry Standards and Ethics: Actively participate in the development of industry-wide standards for AI safety, interoperability, and ethical deployment. Companies adopting these standards can gain a competitive advantage not just in efficiency but in brand trust and long-term market access. By demonstrating a commitment to responsible and human-centered technology, businesses can build confidence with consumers, regulators, and the public, mitigating future backlash and ensuring a more stable operating environment.
Invest in Upskilling and Reskilling Programs: Proactively invest in continuous learning programs for existing employees, preparing them for roles involving human-AI collaboration, robot maintenance, and AI system oversight. Establish clear career pathways for workers transitioning into new, AI-augmented roles.
Engage in Public-Private Partnerships: Form partnerships with governments, educational institutions, and research organizations to co-develop curricula, fund training programs, and conduct research on the societal impact of humanoid robots, ensuring a robust talent pipeline and informed policy.
Prioritize Human-Centric AI Deployment: Adopt a strategic approach to AI and robotics integration that prioritizes augmenting human capabilities rather than simply replacing human labor. Design AI systems that are user-friendly, transparent, and enhance worker productivity, human creativity, and safety in the workplace.
For Civil Society Organizations:
Advocate for Worker Protections and Inclusive Transitions: Champion policies that safeguard workers’ rights, ensure fair labor practices in an automated economy, and advocate for social safety nets and accessible retraining opportunities for all.
Monitor AI’s Societal Impact: Actively monitor the ethical implications of AI and humanoid robot deployment, focusing on issues such as algorithmic bias, data privacy, and the psychological effects of human-robot interaction.
Promote Digital and AI Literacy: Develop and deliver community-based educational programs that enhance public understanding of AI and its societal implications. Empower citizens with the skills needed to navigate the AI revolution.
Facilitate Multi-Stakeholder Dialogues: Convene and participate in dialogues involving workers, industry, policymakers, and academics to discuss the challenges and opportunities presented by humanoid robots. These platforms are crucial for building consensus, sharing diverse perspectives, and shaping human-centered AI.
Conclusion
The rise of humanoid robots marks a pivotal moment in the evolution of work and technology. While offering major gains in productivity, safety, and economic innovation, this revolution also brings significant risks, including job displacement and ethical concerns.
Couldn't agree more with the need to prepare for a robotic workforce, though I'm truely curious what steps David sees as most critical for individuals to take to remain competitive, your piece really frames the challenge so well.