Global trade is no longer only about oil, steel, textiles, cars and containers.
It is increasingly about chips, servers, cloud systems, data centres, software, digital payments, artificial intelligence models, cybersecurity tools, platform services and digitally delivered work. The goods that power AI and the services delivered through digital networks are becoming the new engines of global commerce.
This is not a minor technological upgrade. It is a structural shift.
For centuries, trade was visible. Ships carried spices, cotton, coal, machines, cars and crude oil. Even in the age of containerisation, trade could still be imagined as something physical moving across oceans. But in the AI age, the most valuable trade may be partly invisible. A legal contract may be reviewed by software in one country. A design file may be sent across borders in seconds. A cloud platform may host business operations for firms across continents. A chip made in Taiwan may train an AI model in the United States, which is then used by an Indian startup to serve a client in Europe.
The geography of trade is changing because the nature of value is changing.
The World Trade Organization’s March 2026 Global Trade Outlook says world merchandise trade volume grew 4.6% in 2025, far above its earlier forecast, because surging demand for AI-related goods helped offset tariffs and policy uncertainty. The same report says AI-related investment became a major force in trade growth and that AI-enabling goods are now a key force shaping global trade going into 2026.
The message is clear: the future of trade will be written not only in ports and factories, but also in chips, code and data.
The New Trade Basket: Chips, Servers and Data Centres
The first way AI is reshaping trade is through goods.
Artificial intelligence looks digital, but it has a very physical foundation. AI needs semiconductors, graphics processing units, servers, networking equipment, cooling systems, data-centre infrastructure, fibre networks, power equipment and rare minerals. Behind every chatbot, image model, coding assistant or enterprise AI system lies a vast industrial chain.
This is why AI has created a new trade boom in high-value hardware.
The WTO reported that the share of AI-enabling goods in global merchandise trade rose sharply after 2023, reaching close to 17% by the end of 2025. It also reported that trade in AI-enabling goods rose 21.9% year-on-year in value terms to US$4.18 trillion in 2025, and that these products accounted for 42% of total global trade growth despite representing roughly one-sixth of world trade.
This is extraordinary.
It means AI is not only changing software companies. It is changing the composition of global merchandise trade itself. Countries that control semiconductors, advanced electronics, server manufacturing, cloud infrastructure and data-centre supply chains will gain a new kind of commercial power.
The old trade hierarchy was built around energy, manufacturing and finance. The new hierarchy will also be built around compute.
AI Makes Trade More Intelligent
AI does not only create demand for new goods. It also changes how trade is conducted.
AI can reduce trade costs by improving logistics, forecasting demand, detecting fraud, translating languages, automating customs classification, managing inventory, predicting shipping delays, optimising routes and helping small firms understand foreign markets.
A small exporter no longer needs to manually analyse every trade rule, tax code or buyer preference. AI tools can help interpret regulations, draft export documents, translate product catalogues, monitor global demand and identify potential distributors.
This could make global trade more accessible.
The WTO’s World Trade Report 2025 estimates that AI could increase global trade by 34–37% by 2040 across different scenarios, while global GDP could rise 12–13%, depending on how well countries close technological and policy gaps.
That is the optimistic side of the AI trade story.
AI can reduce the fixed cost of entering international markets. It can allow MSMEs to compete beyond their domestic markets. It can support real-time translation, faster compliance and better customer targeting. It can make trade documentation less painful. It can reduce the knowledge advantage that large multinational firms have traditionally enjoyed.
But this optimistic future is not automatic.
AI can democratise trade only if smaller firms, poorer countries and developing regions get access to affordable compute, connectivity, skills and trusted digital infrastructure.
Digital Trade Is Becoming the New Trade Frontier
Digital trade includes trade that is digitally ordered, digitally delivered, or digitally enabled. It includes e-commerce, cloud services, software, online education, digital media, platform-based services, remote professional work, financial technology, app-based transactions and data-enabled business services.
In traditional trade, the product crosses a border. In digital trade, the service, data or transaction may cross a border even when the provider does not physically move.
This has changed the meaning of exports.
A designer in Bengaluru can serve a client in Berlin. A teacher in Delhi can teach students in Dubai. A cybersecurity firm in Hyderabad can monitor systems in Singapore. A fintech platform can process transactions across jurisdictions. A medical transcription company can serve hospitals abroad. A software-as-a-service firm can sell globally from day one.
This is why digital trade is especially important for India.
India’s comparative advantage has long been strong in services. The digital economy expands that advantage because it allows skilled work to cross borders without physical migration.
UNCTAD and WTO data released ahead of 2026 ministerial talks showed that world services exports surpassed US$9.5 trillion in 2025, growing 8.2% annually. The same data noted that developing economies are moving toward capturing a larger share of world services exports, although the gains remain concentrated among a few leading exporters.
This is India’s opening. The next export revolution may not be only about goods leaving Indian ports. It may also be about Indian services flowing through global digital networks.
Data Has Become a Factor of Production
In the industrial economy, land, labour, capital and machinery were the main factors of production. In the digital economy, data has joined that list.
Data trains AI models. Data improves logistics. Data predicts consumer behaviour. Data helps banks assess risk. Data allows platforms to personalise services. Data enables precision agriculture, smart manufacturing, financial inclusion, healthcare analytics and cross-border business services.
That is why cross-border data flows have become central to digital trade.
The OECD describes cross-border data flows as powering digital trade, while also requiring trust, oversight and smart regulation.
This is the core tension of digital trade.
Businesses want data to move freely because global digital services depend on it. Governments want to regulate data because it affects privacy, taxation, competition, cybersecurity, national security and sovereignty. Citizens want convenience but also protection. Platforms want scale but regulators fear monopoly power.
Digital trade therefore cannot be governed like old merchandise trade. Tariffs are not the only issue. The bigger issues are data localisation, privacy, source-code disclosure, algorithmic accountability, cybersecurity standards, taxation, consumer protection and platform dominance.
The future trade negotiator will need to understand not only customs schedules, but also data architecture.
The WTO Is Struggling to Govern Digital Trade
The global trade system was not designed for the AI age.
Many WTO rules were created when digital commerce was far smaller. The e-commerce work programme began in 1998, but the multilateral system has struggled to produce comprehensive rules for the modern digital economy.
The old WTO moratorium on customs duties on electronic transmissions became one of the most debated digital trade issues. At MC13 in Abu Dhabi in 2024, WTO members agreed to maintain the practice of not imposing customs duties on electronic transmissions until MC14 or 31 March 2026, whichever came earlier. The WTO’s MC14 briefing note also records that some members supported continued extension, while others opposed it due to fiscal and policy-space concerns.
By March 2026, negotiations failed to reach a full consensus on extension, and Reuters reported that the global moratorium on e-commerce duties expired after WTO talks in Cameroon concluded without agreement.
This matters because digital trade is now too important to remain governed by temporary political compromises.
If countries begin imposing duties on electronic transmissions, global digital commerce could become more fragmented. Businesses may face uncertainty. Developing countries may seek revenue and policy space. Digital exporters may fear new barriers. The result could be a patchwork of national rules rather than a stable global framework.
That is exactly what the AI age does not need.
E-Commerce Rules Are Becoming Plurilateral
Because WTO-wide consensus is difficult, digital trade rule-making is moving partly into plurilateral arrangements.
The WTO’s MC14 e-commerce briefing note says 72 members have committed to the E-Commerce Agreement, which aims to set baseline digital trade rules, facilitate e-commerce, promote trust, and include a commitment among participants to a permanent moratorium on customs duties on electronic transmissions. It also notes that supporters are still seeking consensus to incorporate the agreement into the WTO’s legal architecture.
This shows how global trade governance is changing.
The world is no longer waiting for all countries to agree before some countries move ahead. In fast-moving areas like digital trade, smaller coalitions may create rules first, and wider adoption may come later.
But this also creates risks.
If digital trade rules are written mainly by advanced economies and large digital exporters, developing countries may feel that their concerns about taxation, data sovereignty, development and regulatory space have been ignored. If every group writes its own rules, digital trade may fragment into competing regulatory zones.
The challenge is to build digital trade rules that enable innovation without creating digital dependency.
AI Trade Is Also a Semiconductor Story
No country can lead AI without access to advanced chips.
This is why semiconductors have become central to trade policy, industrial policy and national security. AI depends on specialised chips, and the production of those chips is concentrated in a small number of economies and companies. Design, fabrication, equipment, packaging and materials are distributed across highly complex supply chains.
The WTO’s March 2026 report says Asia accounted for a much larger share of AI-enabling trade because of its concentration of semiconductor production and electronics supply chains. It also says North America’s strong AI-related trade growth was linked to demand for AI-intensive equipment and data-centre hardware.
This creates a new hierarchy in global trade.
Countries with chip design capability, fabrication plants, advanced packaging, data-centre manufacturing and power infrastructure will control the commanding heights of AI commerce. Countries without these capabilities will remain users rather than producers.
This is why semiconductor policy is no longer a narrow industrial issue. It is trade strategy.
AI Goods Are Becoming Geopolitical Goods
AI-enabling goods are not ordinary goods.
A chip can power a smartphone, but it can also power a missile guidance system, drone swarm, surveillance platform or cyber operation. Cloud infrastructure can support business services, but it can also support military analytics. AI models can assist doctors, but they can also enhance disinformation campaigns or security systems.
This dual-use character makes AI trade politically sensitive.
Export controls, investment screening, technology-transfer restrictions and sanctions are likely to intensify around AI-related goods. The United States, China, Europe, Japan, Taiwan, South Korea and others will increasingly treat advanced technology supply chains as strategic terrain.
This will complicate global commerce.
A company may want to sell chips. A government may worry about where those chips will be used. A startup may want cloud access. A regulator may worry about data security. A university may want AI collaboration. A security agency may worry about technology leakage.
The AI trade era will therefore be marked by a permanent tension between openness and control.
Digital Trade Can Help MSMEs — But Only With Support
Digital trade has a major promise: it can help small businesses reach global customers.
A small brand can sell through online platforms. A local software firm can provide remote services. A freelancer can work for clients abroad. A crafts producer can use digital catalogues, online payments and logistics platforms to export directly. AI tools can help smaller firms translate, market, comply and communicate.
But digital access does not automatically create digital success.
MSMEs need reliable internet, digital skills, trusted payment systems, affordable logistics, consumer protection, export guidance and platform visibility. They also need protection from unfair platform practices and cyber fraud.
Without these supports, digital trade may simply strengthen the largest platforms.
The risk is that AI and digital commerce create a winner-takes-most economy where a few global technology firms control marketplaces, cloud infrastructure, advertising systems, app stores, data and AI models.
That is why digital trade policy must include competition policy.
A fair digital trade system must help small firms use platforms without becoming trapped by them.
India’s Opportunity: Services, Software and Digital Public Infrastructure
India is well placed to benefit from the rise of AI goods and digital trade.
It has a large skilled workforce, a strong IT services base, a growing startup ecosystem, expanding digital public infrastructure and deep experience in delivering technology services globally. India also has scale: a large domestic digital market can help firms test and refine products before exporting them.
The IndiaAI Mission gives this opportunity a policy framework. A December 2025 PIB note said the mission has an outlay of more than ₹10,300 crore over five years, with 38,000 GPUs deployed, and describes the mission as focused on affordable compute access, startups, data access and responsible AI.
This matters because compute access is one of the biggest barriers in AI development.
If Indian startups, researchers and MSMEs can access affordable GPUs, they can build models, applications and industry-specific AI tools without being entirely dependent on foreign cloud giants. This can help India move from being a back-office services provider to becoming a producer of AI products, tools and platforms.
But the opportunity will require execution.
India needs stronger AI talent pipelines, trusted data ecosystems, model evaluation standards, cybersecurity depth, sector-specific datasets and global regulatory compatibility.
Electronics Exports Give India a Physical Trade Opening
India’s AI trade opportunity is not only in services. It is also in electronics manufacturing.
India has already made progress in mobile phone manufacturing and exports. A March 2026 PIB release said India’s electronics goods production rose from about ₹1.9 lakh crore in 2014–15 to about ₹11.3 lakh crore in 2024–25, while electronics goods exports rose from about ₹0.38 lakh crore to about ₹3.3 lakh crore. It also said smartphones emerged as India’s top exported category in calendar year 2025, with smartphone exports valued at US$30.13 billion.
This is important because AI-era trade will reward countries that combine digital services with electronics manufacturing.
India cannot remain satisfied with assembling final products. It must move deeper into components, semiconductors, sensors, networking equipment, servers, power electronics and data-centre hardware.
The PIB release also notes that India has moved from finished-product manufacturing toward modules, sub-modules, components, raw materials, tools and machinery.
That is the right direction. But the distance to global leadership remains large.
The next challenge is value addition.
India Must Move From Coding to Computing Power
India’s IT success was built on talent, English-language capability, services delivery and cost competitiveness.
The AI age requires more.
It requires compute infrastructure, proprietary datasets, research depth, product innovation, semiconductor access, cloud capacity and domain-specific AI. Coding talent remains important, but compute power has become a strategic resource.
This is a major shift.
In the earlier IT era, India could serve global clients with human capital and software delivery models. In the AI era, companies need large-scale infrastructure to train and deploy models. They need access to chips, cloud systems, energy and data. They need responsible AI governance and intellectual property strategies.
India must therefore build a full AI stack: talent, data, compute, algorithms, applications, hardware and governance.
If it does not, it may become a user of foreign AI systems rather than a producer of globally competitive AI.
Digital Trade and the Tax Question
Digital trade creates a difficult tax problem.
When a company sells physical goods in a country, customs duties and domestic taxes can be applied more easily. But when value is delivered through software downloads, cloud subscriptions, digital advertising, streaming services, online marketplaces or remote professional services, taxation becomes more complex.
Where is the value created? Where should it be taxed? Should countries be allowed to impose customs duties on electronic transmissions? Should digital services taxes apply? How should developing countries protect revenue without damaging digital growth?
These are not small questions.
Developed countries with large digital firms often prefer open digital flows and restrictions on digital tariffs. Developing countries worry that permanent duty-free treatment of electronic transmissions may reduce future revenue and policy space.
This disagreement helped drive the WTO e-commerce moratorium debate.
India has historically argued that digital trade rules must protect the policy space of developing countries. That position is not anti-digital. It reflects a concern that the rules of the digital economy should not be written only by countries that already dominate it.
Data Sovereignty vs Digital Openness
Digital trade depends on cross-border data flows. But governments increasingly want control over data.
Data localisation rules require certain data to be stored domestically. Supporters argue this protects privacy, security, law enforcement access and domestic digital capacity. Critics argue it raises costs, fragments the internet and hurts trade in digital services.
Both sides have valid concerns.
Unrestricted data flows may benefit global platforms but weaken national regulatory control. Excessive localisation may protect sovereignty but reduce competitiveness and increase compliance costs. The challenge is not choosing one extreme. It is designing trusted data governance.
India must be careful here.
As a digital services exporter, India benefits from data flows. As a large sovereign digital market, India also needs privacy, cybersecurity and regulatory authority. Its policy must support cross-border services while protecting citizens and national interests.
The best approach is trusted data flow, not uncontrolled data flow.
AI Will Change Trade in Services
Services trade will be deeply affected by AI.
AI can automate translation, coding, accounting, legal research, customer support, design, marketing, diagnostics, analytics and financial modelling. This can create new service exports, but it can also threaten existing service jobs.
India must take this seriously.
The same AI tools that help Indian firms increase productivity may also reduce demand for some labour-intensive outsourcing services. Routine coding, basic customer support, simple content work, document processing and low-end analytics may face automation pressure.
But higher-value opportunities will expand.
AI consulting, model governance, cybersecurity, AI integration, data engineering, domain-specific automation, health-tech, legal-tech, ed-tech, fintech, public-sector digital transformation and enterprise AI services can become major export sectors.
India’s services strategy must therefore move up the value chain.
The question is not whether AI will reduce jobs or create jobs. It will do both. The real question is whether India can reskill fast enough to capture the higher-value work.
Digital Trade Can Deepen Global Inequality
The AI trade revolution may widen inequality between countries.
Advanced economies have more compute, more capital, more research institutions, more AI firms and stronger intellectual property ecosystems. Many developing countries still lack broadband, digital skills, reliable power, cloud infrastructure and regulatory capacity.
UNCTAD’s Digital Economy Report 2024 warns that the digital economy’s physical and environmental footprint is rising, including demand for raw materials, water and energy, while digital divides and concentrated market power remain major policy concerns.
This is critical.
The AI economy may look clean because it is digital, but data centres require energy and water. Chips require rare materials. Devices create e-waste. Cloud infrastructure is capital-intensive. AI systems concentrate power among firms and countries with access to chips, data and capital.
So the future of digital trade is not automatically inclusive.
If not managed well, AI may create a new digital dependency where poorer countries supply raw materials and data while richer countries capture most of the value from models, platforms and intellectual property.
Cybersecurity Becomes a Trade Issue
As trade becomes digital, cybersecurity becomes a trade issue.
A cyberattack can disrupt logistics, payments, ports, e-commerce platforms, cloud systems, banks, customs databases and supply chains. Ransomware can halt production. Data breaches can destroy trust. State-backed cyber operations can target critical infrastructure.
This means exporters will increasingly need cybersecurity compliance.
A small firm selling software abroad may need to prove data protection standards. A logistics company may need secure tracking systems. A cloud provider may need cross-border security certifications. A fintech company may need strict encryption and fraud controls.
Trust will become a trade advantage.
Countries that build strong cybersecurity norms and trusted digital infrastructure will attract more digital trade. Countries seen as insecure or legally unpredictable may lose opportunities.
For India, this means digital competitiveness must include cybersecurity depth, not only software talent.
AI and Customs: Trade Facilitation Gets Smarter
AI can transform customs and trade facilitation.
Customs authorities can use AI to identify suspicious shipments, classify goods more accurately, detect undervaluation, predict compliance risk and speed up clearance for trusted traders. Ports can use AI to manage congestion. Shipping firms can optimise routes. Warehouses can forecast inventory needs.
This can reduce trade costs significantly.
For India, smarter customs and logistics are essential because high logistics costs reduce export competitiveness. Digital trade infrastructure should be linked with physical trade infrastructure. AI should be used not only by startups, but also by ports, customs, railways, warehouses, export councils and regulators.
The future export system will be partly automated.
Countries that reduce paperwork and uncertainty will gain trade advantage.
AI Goods Will Increase Demand for Energy and Minerals
The AI economy is energy-intensive.
Data centres consume electricity. Advanced chips require complex manufacturing. Cooling systems require water. Battery systems, electronics and computing infrastructure depend on minerals. This connects AI trade with energy security and critical minerals.
A country cannot build an AI economy without power infrastructure.
This is why AI trade will also reshape energy trade. Countries with cheap clean electricity may attract data centres. Countries with critical minerals may gain bargaining power. Countries with weak grids may struggle to host AI infrastructure.
India must plan for this.
AI policy cannot be separated from energy policy. Data-centre growth, semiconductor manufacturing and cloud infrastructure require stable electricity, cooling capacity, water planning and clean energy strategies.
The digital economy has a physical cost.
Ignoring that cost would be a strategic mistake.
Digital Trade and the Global South
For the Global South, digital trade is both opportunity and risk.
The opportunity is leapfrogging. Countries can export services without waiting to build massive industrial capacity. Young people can participate in global work through digital platforms. MSMEs can access international customers. Governments can deliver services better through digital infrastructure.
The risk is dependency. Countries may become consumers of foreign platforms, users of foreign AI models, suppliers of raw data and buyers of imported hardware without building domestic capabilities.
The Global South must therefore demand an inclusive digital trade order.
That means affordable technology access, capacity building, digital infrastructure financing, fair taxation rights, competition policy, language inclusion, cybersecurity support and space for domestic regulation.
Digital trade rules must not freeze today’s inequalities into tomorrow’s law.
India’s Strategic Choice
India must decide what role it wants in the AI trade order.
It can be a services exporter, a digital public infrastructure model, an electronics manufacturing hub, an AI applications leader, a data governance innovator and a voice for the Global South. But it cannot achieve this automatically.
India needs a serious strategy.
First, it must deepen electronics manufacturing beyond assembly.
Second, it must support domestic AI firms with compute, datasets and procurement opportunities.
Third, it must modernise education and skilling for AI-era services.
Fourth, it must negotiate digital trade rules that preserve policy space while keeping India globally connected.
Fifth, it must build cybersecurity and data protection credibility.
Sixth, it must help MSMEs use AI for exports.
Seventh, it must promote Indian-language AI tools so digital trade benefits do not remain limited to English-speaking elites.
Eighth, it must invest in data centres with clean energy and sustainable water use.
Ninth, it must integrate AI with logistics, customs and export promotion.
Tenth, it must build global partnerships without surrendering digital sovereignty.
Conclusion: The Future of Trade Will Be Digital, Intelligent and Contested
AI goods and digital trade are reshaping global commerce.
They are changing what countries export, how firms trade, where value is created and who gains power in the international economy. Semiconductors, servers, data centres, cloud systems and AI tools are becoming as important to global trade as oil, ships and factories were in earlier eras.
The opportunity is enormous. AI can reduce trade costs, help small firms export, improve logistics, expand services trade and create new industries. The WTO estimates that AI could increase global trade by more than one-third by 2040 if countries bridge digital and policy gaps.
But the risks are equally serious.
AI trade may deepen inequality. Digital rules may fragment. Data may become a geopolitical weapon. Platforms may concentrate power. Cybersecurity risks may grow. Developing countries may lose fiscal space. Countries without compute, skills and infrastructure may fall behind.
For India, the stakes are historic.
India has the talent, market, services strength and digital infrastructure to become a major player in the AI trade era. Its electronics exports are rising, its AI mission is expanding compute access, and its digital public infrastructure gives it a unique platform. But India must move from participation to leadership.
The countries that dominate the next era of trade will not only be those with ports and factories. They will be those with chips, compute, data, trust, talent and rules that others are willing to use.
Global commerce is entering a new phase.
The container will still matter. The ship will still matter. The factory will still matter.
