Let’s Not Lose Our Way: AI in Service of the Local Economy
Discover how artificial intelligence can transform local economies and strengthen our autonomy in the face of global crises. Globalization—largely founded on David Ricardo’s economic theories and the principle of comparative advantage—has shaped our current system by encouraging countries to specialize in the production of goods in which they are most competitive. This logic of specialization has brought a certain global economic efficiency. However, it now reveals significant limits, especially when it comes to supply chain resilience and food security. In the face of successive crises—sanitary, environmental, geopolitical—national autonomy and local production emerge as more viable and equitable solutions for communities. It is our duty to evolve toward a localized economy to ensure a secure and prosperous future for all humanity! In this article, we explore an alternative that re-centers economic effort on national markets and local production, integrating modern technologies like artificial intelligence (AI), to build a more durable and inclusive economy.
ECONOMY
João da Encarnação
11/11/20243 min read


The Limits of Specialization & the Urgency of National Autonomy
Ricardian economics, with its logic of comparative advantage, leads to over-dependence on imports for essential goods. This model—based on analysis of two-country trade—fails to consider critical external variables. While it worked well in stable times, recent crises have shown how dangerous it is to lack domestic control over necessities during shortages.
Any disruption to international trade—be it natural, political, or economic—can quickly threaten food security, energy supply, and even medicine production.
To reduce these vulnerabilities and strengthen national resilience, each country should strive for strategic autonomy over essential goods—producing food, energy, and basic supplies locally to safeguard its people and economy.
How AI Can Reduce Costs of Local Production
Thanks to AI and advanced technologies, local production can now be cost-effective. Unlike in previous eras, producing locally no longer implies higher costs—automation and AI-driven optimization make domestic production viable.
• Vertical farms, smart factories, and automated logistics centers allow efficient, sustainable production close to consumption hubs—cutting transport and import expenses.
• This modern tech breathes new life into local industry, letting nations meet their needs while remaining internationally competitive.
Relocalization and Corporate Responsibility
In this economic shift, multinationals—often clustered in low-cost regions—should be encouraged—or even required—to set up factories where they sell their products. This approach yields multiple benefits:
Creates local jobs
Redistributes profits more fairly
Generates tax revenue domestically
Though possibly less immediately profitable, investing in markets where products are sold offers long-term gains: reducing inequality and strengthening local economies.
Example: Chinese companies reacquiring Volkswagen plants to produce cars directly within the Schengen area.
Rethinking International Aid
Developing countries often depend on international aid, creating structural dependency and limiting real autonomy. Instead, aid should be redirected toward boosting these countries’ production and innovation capabilities:
Train local populations
Enhance critical infrastructure
Promote local manufacturing of finished goods
This approach helps diminish economic drain and fosters sustainable growth.
A Well‑Being–Centered Economy
Our current crisis is fundamentally moral—a loss of vision for the future. Prioritizing short-term profit often sacrifices human values, leading to exploitation of people and resources. Reordering economic priorities around community well-being and human dignity could spark a transformative shift.
Valuing local labor and restoring meaning to communities is key to achieving social and economic stability.
Investing in Local Skills and Employment
A common objection to local production is the perceived lack of skilled labor. But this challenge can be overcome:
Develop specialized training programs
Foster a workforce ready to fill high-quality, sustainable jobs
Nations and businesses that invest in this way can ensure durable local employment aligned with community needs.
Conclusion: A Sustainable and Inclusive Economy Is Possible!
This model, an alternative to Ricardo’s theory, centers on local production and national resilience in the face of crises. Rather than maximizing profits at the expense of collective security, it seeks to promote sustainable and inclusive development.
The climate and social challenges we face urgently demand more human, solidaristic, and enduring economic strategies. By supporting a global economy that respects regional needs and resources; protects workers’ dignity; and integrates technological progress in service of the people—we can build a more resilient, equitable, and sustainable future for generations to come.
AI and technology can power this transformation.
AI‑Powered Ideas for a Resilient Local Economy
Here are practical, locally-oriented, AI-enhanced initiatives that support a durable and self-sufficient economy:
Agriculture & Food Production
Climate‑adapted planting: AI analyzes local climatic data to optimize crops based on seasonal and resource variations—maximizing yield, minimizing waste.
Automated vertical farms: AI controls factors like temperature, humidity, and lighting to grow produce locally year-round.
Precision farming: Soil data guides exact fertilizer and water usage, cutting waste and environmental impact.
Eco‑friendly Construction
Modular building with local materials: AI-driven 3D printers construct homes rapidly from regional resources.
3D‑printed spare parts: Replacement parts for local equipment can be printed on site, reducing import reliance.
Textile & Fashion Industry
Smart local textile manufacturing: Intelligent machines produce clothing from regional materials, reducing transport costs and carbon footprint.
Eco‑fabrics: Developing local ecological textiles meets growing demand while decreasing import reliance.
Waste Management & Recycling
Smart recycling centers: AI sorts waste automatically for local recycling, reducing landfill use and transport.
Biodegradable plastic production: AI optimizes manufacturing methods to produce sustainable plastics locally.
Furniture & Forestry Products
Optimized furniture production: AI improves material usage for furniture design, supporting local wood industries and reducing imports.
Local Energy Systems
Renewable micro‑grids: AI analyzes local energy production/consumption to develop solar and wind systems.
Water reuse systems: AI-powered sensors manage water usage in agriculture and households sustainably.
By developing these local initiatives, AI enables a resilient economic model based on regional autonomy, lower carbon footprint, and employment creation. Such solutions show how technology can support an economy centered on collective well-being and environmental sustainability.
Source: Wikipedia – International Trade Theory (comparative advantage)