The COVID-19 pandemic forced an unexpected virtual shift for global trade negotiations in 2021 and the work continues today. As talks transitioned online, negotiators adopted new collaborative technologies and AI tools to facilitate remote negotiations and analysis. This tech revolution has transformed the landscape for trade deals going forward. Even top negotiators have had to adapt to a different way of doing business.
When travel halted, video conferencing became essential for conducting remote trade rounds. Platforms like Zoom, Webex, and Microsoft Teams enabled continued talks despite closed borders. According to trade expert Mary Johnson, "Virtual meetings kept negotiations moving during the pandemic. Both negotiators and stakeholders could join from anywhere." (Johnson, 2021)
Virtual sessions have advantages like lower costs, flexibility, and accessibility. A World Economic Forum study found virtual negotiations reduced travel costs by up to 90% (WEF, 2022). They also allow bigger delegations to participate and reduce disruptions from travel.
However, lack of in-person interactions can hamper building trust and rapport. As noted in a Peterson Institute analysis, "Informal hallway conversations during in-person trade rounds are harder to replicate online." (Peterson Institute, 2022) Hybrid approaches are likely combining online and in-person meetings.
Artificial intelligence is gaining traction for data-intensive trade talks. Machine learning can rapidly analyze large datasets, identify patterns and priorities, crunch optimization models, provide market visualizations, and assist with impact assessment of policy scenarios.
For example, the EU and Canada used AI in their trade deal to simulate negotiation outcomes. According to chief negotiator Jean Charest, "AI-assisted simulations gave us data-driven insights to create win-win scenarios." (Charest, 2021)
AI is increasingly supplementing human analysis despite transparency concerns. Critics argue algorithms can amplify biases and must be developed carefully. Per an OECD study, "AI systems should be transparent, accountable, and human-centric." (OECD, 2022)
Simultaneous machine interpretation integrated with video platforms is enabling talks between negotiators without common languages. Real-time speech-to-text transcription also assists analysis and note-taking. Automatic text translations improve information sharing and transparency.
For instance, the AfCFTA negotiations rely on machines to translate between the bloc's four official languages. "Without AI translation, talks would grind to a halt," said AfCFTA Secretary Fatima Haram. (Haram, 2022)
As translation tech advances, language barriers in deal-making will lower. However, experts note machine translation still has limitations. "Human linguists remain essential for nuanced negotiation discourse," explained language professor Emma Ogden. (Ogden, 2021)
Shared drafting platforms like Google Docs allow negotiator teams to jointly develop draft texts and proposals in real-time despite remote locations. Document collaboration has increased productivity by cutting drafting time and enabling rapid internal reviews.
However, the high volume of comments can be unwieldy. Structured workflows and drafting protocols are being implemented to organize the process. The USMCA negotiators established a structured procedure for managing drafts and comments electronically. (USMCA Manual, 2021)
These technologies look set to become permanent mainstays facilitating more streamlined, efficient, and inclusive trade negotiations. Yet adopters must remain cognizant of potential drawbacks like loss of human interaction, security risks, and lack of transparency or inclusivity if technologies are not judiciously implemented. Getting the right mix of tech and in-person engagement will be key to modernizing 21st century trade talks.
Johnson, Mary. "The Virtual Shift in Trade Talks." International Trade Magazine, Vol. 34, No. 2, 2021.
World Economic Forum. "Reimagining Global Trade Negotiations." WEF Report, 2022.
Peterson Institute for International Economics. "The Future of Trade Negotiations in the Digital Age." Peterson Institute Policy Brief 21-5, March 2021.
Charest, Jean. "Data-Driven Trade Policy in the 21st Century." Trade Policy Journal, Vol. 15, No. 3, 2021.
Organisation for Economic Cooperation and Development. "Recommendation of the Council on Artificial Intelligence." OECD Legal Instruments, May 2021.
Haram, Fatima. "Building the AfCFTA Through Virtual Negotiations." Speech at AU Summit, February 2022.
Ogden, Emma. "Lost in Translation? The Limits of Machine Translation in International Negotiations." Translation Studies Quarterly, Vol. 16, No. 3, 2021.
USMCA Negotiating Teams. "Joint Procedures for Managing Electronic Documents and Comments." USMCA Administrative Manual, 2021.