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Factories to Fiber: Why Remote Work and Development Must Rewrite the Trade Playbook

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1 year 1 month
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Keith Lee
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Keith Lee is a Professor of AI and Data Science at the Gordon School of Business, part of the Swiss Institute of Artificial Intelligence (SIAI), where he leads research and teaching on AI-driven finance and data science. He is also a Senior Research Fellow with the GIAI Council, advising on the institute’s global research and financial strategy, including initiatives in Asia and the Middle East.

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Remote work and development drives growth
Automation narrows factory-led paths
Teach English, wire broadband, fix payments

One key number should change how ministries of education, finance, and trade plan for the next decade. In 2023, developing countries exported over $1 trillion in digitally deliverable services. This is part of a $4.5 trillion global market that can be accessed with just a laptop and a steady internet connection. This isn’t just a detail; it represents a significant shift in globalization. The terms remote work and development are central to this narrative. They signify a transition from shipping containers to code, from factories to digital talent, and from industrial zones to cloud-based skills. While the trade in goods slows or fragments, the trade in services is on the rise. Countries that missed the manufacturing boom still have the chance to benefit from this services wave, but they need to invest in education, technology, and trust. Without these investments, the divide will grow, as data indicates that the least-developed nations captured only a small share of this growth. The urgency of this issue is clear.

Remote Work and Development: The New Labor Arbitrage

The traditional route to prosperity went through factories. Now, remote work and development are changing that route. Global hiring platforms indicate that companies fill many roles with remote contracts across borders, often hiring based on time zones to maintain team cohesion. In 2024, 50% of cross-border hires in Great Britain were in the same time zone, while 41% of hires in Germany lived within an hour of their employer's time zone. This doesn’t eliminate geography; instead, it makes it easier to manage. Companies can access talent from around the world without having to build physical locations. This reduces focus on labor costs while minimizing the risks of offshoring. This represents a modern form of labor arbitrage that is reshaping hiring practices, salary structures, and training methods.

However, this labor arbitrage relies on talent being able to compete on global platforms. Therefore, policy must focus on education and access to technology. The old system rewarded low pay, while the new system values English proficiency, digital skills, and ready-to-use portfolios. Access to technology is crucial. In 2024, 68% of people worldwide were online, but only 27% in low-income countries. Additionally, 5G technology was available to 84% of individuals in high-income nations, compared to just 4% in low-income ones. It’s essential for remote work and development to begin with universal access to affordable internet and consistent digital training in schools. Without these, young people will miss out on jobs they could perform remotely.

Figure 1: Top adopters run far ahead; automation compresses the wage advantage that once powered factory-led development.

Automation, Trade Headwinds, and the Old Playbook

Recent economic analysis presents a clear view: the conditions that fostered export-led growth in the late 20th century are diminishing. Three main factors contribute to this change. Structural shifts include digitization and automation. Policy changes involve industrial subsidies, climate-related trade measures, and stricter scrutiny of financial and technological flows. Geopolitical factors create tighter trade blocs and increased fragmentation. Together, these factors limit the opportunities for countries hoping to replicate the growth models of South Korea in the 1980s or China in the 2000s. The analysis also highlights that foreign direct investment in developing nations dropped to around $435 billion in 2023, the lowest level since 2005. This decline indicates that global supply chains are not expanding as they once did. China’s share of U.S. imports also decreased noticeably between 2017 and 2023, indicating fragmentation rather than a smooth transition in trade.

Automation further complicates the situation. The global average density of robots reached 162 per 10,000 manufacturing workers in 2023, more than double the level seven years earlier. Countries leading in robot use include Korea (1,012 per 10,000), Singapore (770), and China (470), with growth seen worldwide. This is critical for labor-intensive industries in which poorer countries once relied on low wages. Even the textile industry, which many newcomers used to enter, has a high proportion of tasks that can be automated, with early signs of automation already evident in cutting and sewing. As robots become cheaper and software takes on more of the quality-control burden, the wage gap narrows as a competitive advantage. While opportunities don’t vanish, they shift toward high-skill areas, flexible manufacturing, or services that accompany products. Remote work and development are among these high-skill areas that can expand without the need for physical factories.

Policy challenges add to this scenario. The EU’s Carbon Border Adjustment Mechanism will be fully operational as of January 1, 2026. It will charge importers for the emissions embedded in carbon-heavy goods. For exporters relying on coal power or ineffective monitoring, profit margins will get tighter. Meanwhile, advanced economies are increasing subsidies to protect domestic critical supply chains, and stricter rules on the origin of goods are emerging. While the chance for latecomers to expand their manufacturing exports still exists, it has become a more challenging, slower, and costlier endeavor. To maintain growth, the development model must include a second engine: tradable services that can be delivered remotely.

Building Human Capital for Borderless Work

If remote work and development offer a viable path, the skills required can be taught. It all starts with language. Global clients expect clear and quick communication. English is the standard across software, support, design, and analytics. Countries with better English skills often rank higher in innovation and talent, and there's considerable evidence connecting proficiency to income and productivity. Schools need to act now. They should offer daily practice in spoken and written English from early grades, complemented by project-based tasks—like swiftly pitching a product, writing a clear bug report, or summarizing a client call with bullet points and action items. In teacher training, replace some time spent on textbooks with real-time, guided communication exercises. A simple measure of success is whether a 16-year-old can provide a two-minute update in clear English without prompts and answer two follow-up questions. That’s a skill they could use immediately.

Next, schools should integrate remote work etiquette and portfolio-ready outputs throughout their curriculum. Students should graduate with a public Git repository or design portfolio, a one-page résumé aligned with international standards, and a proven record of meeting deadlines. Schools can also partner with diaspora entrepreneurs and local startups to create “live briefs,” two-week projects in which teams develop a landing page, label a complex dataset, or build a chatbot prototype. Managing such projects helps students build soft skills that employers value, such as adhering to style guides, leaving clear comments, and closing feedback loops. Ministries should fund national “services export studios” in technical colleges. These supervised production shops would send invoices to international clients for the actual work, under faculty oversight, and pay students a stipend. This model reduces risk while teaching essential skills like rhythm, quality control, and conflict management.

Policy for an Open Services-Export Model

A strategy for services exports starts with solid infrastructure. Governments must view last-mile broadband and reliable electricity as essential components of export infrastructure. The case for development is clear: digitally delivered services account for more than half of global services exports, but in the least developed countries they account for only about one-fifth of services exports. Narrowing this gap is primarily an investment issue, followed by a skills issue. The goal should be universal access with internet speeds and latencies that meet platform requirements for video calls and code repositories, all at costs that align with global affordability standards. This can be achieved with open-access broadband networks and policies that encourage coverage, as well as community internet initiatives in hard-to-reach areas.

Figure 2: High-income economies enjoy near-universal internet and broad 5G; low-income countries face a deep access gap that limits services exports.

Next, remove the barriers that inhibit remote work and development. Cross-border payment systems need to be inexpensive, quick, and compliant. This requires establishing e-KYC standards, creating economical digital wallets that support major currencies, and providing tax guidance that clearly differentiates freelancers from disguised employees without penalizing either group. Labor ministries should publish model contracts and expedite arbitration for minor international disputes. With these safeguards, potential clients are more inclined to explore new markets. Without them, mistrust becomes a significant obstacle. In terms of trade policy, advocate for commitments on services trade, mutual recognition of credentials, and the ability to provide digital services without a local presence. This combination—clear regulations, efficient processes, and recognition—turns talent into exports.

Lastly, be practical about salaries. Some companies use a single global pay rate, but many adjust it by location. Surveys reveal mixed results: while some employers base salaries on specific locations or apply geographical adjustments, others are moving towards standardized bands for simplicity and fairness. Workers are paying attention. Pay based on location can limit opportunities or wages in cheaper cities, whereas uniform salaries can deter employers and restrict hiring. A practical approach is transparency: be open about salary policies and stick to them. Meanwhile, the public sector can establish minimum standards for platform work and connect training programs to roles with strong global salary rates.

Lastly, scale up career services nationwide. Every final-year student should receive guidance on improving their online profiles, crafting sample proposals, and securing initial clients. National career portals can facilitate “starter gigs” with verified clients who commit to timely payments and written feedback, funded by small success fees. Diaspora networks can organize virtual job fairs timed to local convenience. Additionally, where countries are situated in advantageous time zones, they should make the most of that; data shows that companies prefer minimal time differences. This preference is an asset for regional exports, not a limitation.

Anticipating the Pushback

Critics bring up three valid concerns. First, they argue that automation will soon eliminate entry-level service jobs, leaving less room for poorer countries. However, service exports are not uniform. Even as AI evolves, clients continue to pay for context, culture, and coordination—whether it’s providing patient support with empathy or localizing services to fit language and legal standards. The trillion-dollar figure indicates that demand is not decreasing; rather, it is expanding. The fastest-growing sectors include professional and technical services that combine human insight with AI tools. The goal of policy should not be to choose winners but to make talent visible and accessible, then allow the market to determine what succeeds.

Second, critics warn that remote hiring will deepen location-based pay disparities. This concern is legitimate; many companies set geographic pay rates. However, there’s a growing trend toward clearer, more equitable systems: some businesses categorize countries into transparent pay tiers, while others publish salary ranges by position regardless of location. Public guidance can encourage equity without eliminating pay differentiation. Workers gain negotiating power as they enhance their credentials and references. Therefore, training policies should focus on verifiable skills—like English proficiency certifications, cloud-related qualifications, and documented experience—because salaries often reflect these indicators.

Lastly, critics point out that the digital divide makes the vision impractical. While the divide is indeed a challenge, it should not be viewed as a dead end. Connectivity is progressing rapidly, but not evenly: in 2024, 5.5 billion people were online, yet 2.6 billion were still without access, with much lower rates in low-income areas. This is why ministries must prioritize connectivity, device access, and essential digital skills as ongoing funding priorities rather than relying on donor support. Nations that bridge these gaps unlock household-level service income without waiting for large-scale projects. Once students can participate in live calls, share links, and submit work, they become exporters.

What This Means for Schools and Systems

Education systems need to shift from general "digital literacy" to trade-ready proficiency. This requires regular practice in spoken English, structured business writing, and projects that result in deliverable work. It also necessitates etiquette: responding within agreed time frames, raising issues early, and transitioning tasks smoothly across different time zones. Teacher training should reflect these same standards—weekly task completion, peer evaluations, and public grading criteria. Technical tracks should focus on the basics of cloud platforms, spreadsheet modeling, AI prompt design, and security best practices. Non-technical tracks should emphasize excellence in service fields such as health, tourism, law, and financial operations—areas that maintain steady demand across borders.

Administrators must assess what truly matters. Measure the percentage of graduates with an active portfolio link, the number who complete paid small gigs before graduating, and median response times in mock client interactions. Share these metrics publicly and celebrate schools that achieve them. For underprivileged areas, offer small grants for laptops, headsets, and data packages linked to coursework culminating in paid projects. These minor investments can yield significant returns when students land their first jobs.

Policymakers can enhance this with targeted procurement efforts. Reallocate a portion of public contracts—such as data entry, document management, or help desk tasks—to accredited school-connected studios and rural centers. Payment should be based on delivered results. Implement minimum labor standards for platform work nationwide. Align export support agencies with service sectors, not just goods: provide matchmaking services, escrow assistance, and contract templates for first-time exporters of time and talent.


The views expressed in this article are those of the author(s) and do not necessarily reflect the official position of the Swiss Institute of Artificial Intelligence (SIAI) or its affiliates.


References

Deel. (2025). The State of Global Hiring Report (2024 edition overview page). Retrieved December 9, 2025.
EBSCO. (n.d.). Low-cost country sourcing (cheap labor). Retrieved December 9, 2025.
European Commission (DG TAXUD). (2025). Carbon Border Adjustment Mechanism — definitive regime from 2026. Retrieved December 9, 2025.
Goldberg, P. K., & Ruta, M. (2025). The narrowing path: Trade and development in a new era. VoxEU/CEPR, 8 December.
HR Dive. (2024). Worker location factors into pay decisions at roughly half of organizations. Retrieved June 3, 2024.
IFR — International Federation of Robotics. (2024). Global robot density in factories doubled in seven years. Press release, 20 November.
ITU — International Telecommunication Union. (2024). Facts and Figures 2024 — Internet use (and press brief). Retrieved November 10–27, 2024.
Pebl (HelloPebl). (2025). Are companies secretly paying remote workers less? Location-based pay disparities. 23 April.
UNCTAD — UN Trade and Development. (2024). Developing economies surpass $1 trillion in digitally deliverable services exports. 6 December.
World Bank. (2025). Foreign Direct Investment in Retreat: FDI flows to developing economies drop to lowest level since 2005. Press release, 16 June.

Picture

Member for

1 year 1 month
Real name
Keith Lee
Bio
Keith Lee is a Professor of AI and Data Science at the Gordon School of Business, part of the Swiss Institute of Artificial Intelligence (SIAI), where he leads research and teaching on AI-driven finance and data science. He is also a Senior Research Fellow with the GIAI Council, advising on the institute’s global research and financial strategy, including initiatives in Asia and the Middle East.