Technology is advancing faster than the systems designed to govern it, and the consequences are already visible – in displaced workers, strained energy grids, exposed critical infrastructure, and an AI governance gap that spans every continent. None of these issues can be solved in isolation – they require cross-sector, systems-level thinking and cooperation.
This is part of a series of Connecting the Dots articles from the World Economic Forum, exploring how the defining challenges of our era – technology, people, planet, growth and geopolitics – are deeply and practically interconnected.
Picture a supply chain AI, newly deployed across procurement operations in three countries. The efficiency gains arrive almost immediately. Within the same quarter, headcount reductions at two sites are signed off as commercially rational, a data centre running the workload starts drawing more power than the regional grid can comfortably support, and the workers affected have no options to reskill.
Three simultaneous failures – for people, for the planet, for equitable growth – from a single piece of technology that did exactly what it was designed to do. Deployment moved faster than any regulatory framework could track, and no single company could resolve it alone. The problem was not in the tool. It was in the system around it – a system that moved too slowly to keep up with what it was supposed to contain.
While AI is a vivid current example, it illustrates a wider reality: introducing any technology involves critical decisions about people, physical infrastructure and oversight. That is the defining technology challenge of our era: the distance between what is being built and who gets to shape how it lands. Ensuring technological advances translate into wider benefits requires governance – the rules, institutions and shared standards that allow societies to benefit from powerful tools without being harmed by them.
How can governance keep pace with technological change?
Every era produces technologies that outpace the institutions designed to govern them: the internal combustion engine and the car were around for decades before standardized traffic laws and seatbelts were enforced.
What distinguishes the current moment is the speed, scale and depth of interdependence – innovation now scales fastest when technologies connect. And when frontier tools link with emerging fields such as quantum computing or synthetic biology, ideas move from lab to market faster than institutions can track them. A model trained in one country and deployed in a second can affect workers in a third, drain a grid in a fourth, and feed data back across them all. These consequences outpace any single government’s capacity to manage, though international efforts like the G7’s Hiroshima Process show a way forward.
None of this is an argument against the technology itself. The same tools that can displace warehouse workers are also speeding up drug development and bringing specialist-level diagnostics to underserved areas.
One AI-discovered drug candidate for idiopathic pulmonary fibrosis went from target identification to preclinical candidate in 18 months, according to the company behind it, against the three to four years typical of conventional methods. It completed a Phase 2a trial in 2025. Elsewhere, portable digital X-ray devices with AI interpretation are being used in mobile clinics across Uganda to identify likely tuberculosis cases within minutes.
The broader question still exists around how the world can build the legal, institutional and ethical frameworks for these technologies to match the pace at which they are being developed and deployed.
Where are the governance gaps emerging?
The gap between technology and regulation is taking a toll. AI governance – the shared rules and accountability frameworks for how AI systems are designed, deployed and challenged – is years behind what is already in commercial use, with little sign of the gap closing.
AI is already making decisions that shape people’s lives: whether someone is approved for a mortgage, for example, or how likely they’re assessed to reoffend by a judge before sentencing. In many jurisdictions, legal frameworks struggle to establish clear liability when automated systems yield biased or incorrect results, leaving gaps in liability, transparency and formal rights of redress.
Facial recognition offers one of the starkest illustrations of this governance gap, demonstrating where dedicated rules have been missing entirely. Deployments in public spaces outpaced legal frameworks for handling complaints, challenging wrongful identifications, or setting minimum error thresholds.
Geography makes oversight fragmented and complex. Regulatory approaches across the European Union, the United States and China diverge significantly, as each jurisdiction attempts to balance market competitiveness with safety standards.
The consequences spill well beyond the technology sector: they shape where jobs go, how energy is consumed and the longer-term balance of economic power. Since 2023, more than 500 organizations have been working through the Forum’s AI Global Alliance to develop common governance standards – a signal of how widely recognized the problem now is, even if consensus on solutions remains elusive.
What determines who can benefit?
For 2.2 billion people, the more immediate problem is that they are not online at all. For 655 million people who also have no reliable electricity supply, the exclusion compounds. When schools closed because of the COVID-19 pandemic in 2020 and 2021, many children in sub-Saharan Africa and rural South Asia lost years of education and could not catch up through online learning. Remote schooling assumed a device, a reliable internet connection and a power socket.
Making a technology available is only part of the task; people and businesses also need the skills, hardware and energy infrastructure to actually benefit from it. Yet the same infrastructure gaps that excluded these children from remote classrooms are now being bypassed in some places by mobile‑first digital tools that don’t require fixed broadband or stable grids. In rural Kenya, for example, pilots are testing offline‑first AI assistants running on low‑cost Android phones to triage symptoms and guide referrals without requiring an internet connection.
And across parts of Africa, targeted digital agriculture initiatives are starting to layer AI onto basic mobile networks to reach smallholder farmers who have historically lacked formal bank accounts or desktop computers.
While these are not universal solutions, and they do not erase the structural divide, they do underscore that when tools are designed around the constraints of the last quarter of the population, they can extend some of the productivity gains of AI into places that fixed infrastructure never reached.
Closing the digital gap that systematically excludes some people from the economy requires a broader, more coordinated, cross‑sector commitment on the same scale as the challenge itself.
How do we build trust in the systems we rely on?
Beneath all of this runs a fragility that only becomes visible when something breaks – and the question of who is trusted to protect it.
Modern infrastructure – energy grids, water systems, hospitals, financial networks – runs on interconnected digital systems, which have made it more efficient but also more brittle.
In 2021, ransomware reached the systems of a major US fuel pipeline operator, and the company was forced to halt deliveries as a precaution, spreading fuel shortages across states within days.
When hospital systems are taken offline, consequences can be fatal for patients whose care cannot proceed – research shows the number of attacks in the US has tripled in the past decade. Meanwhile, studies of a major ransomware incident revealed spillover effects on nearby hospitals and an increase in cardiac arrest.
Cybersecurity resilience underpins national and economic security, which is why technology sovereignty – the drive by states to control foundational digital infrastructure within their borders – has moved from a fringe concern to the centre of industrial policy within a few years. As nations race to secure compute power and data control, access to advanced technology becomes a deeply geopolitical question – dictating which countries get to participate in the global digital economy, and on whose terms.
One emerging response is the concept of digital embassies – agreements allowing nations to extend sovereign digital infrastructure beyond their borders while retaining control of their data and computational power. In 2026, the Forum launched a Global Framework for Innovative and Trusted Digital Embassies, co-developed with governments, private-sector partners and regulators, offering a shared baseline for governing these arrangements.
What does technological expansion require from the planet?
Energy and resource intensity is one of the more uncomfortable tensions in the technology debate. AI infrastructure is physical: large-scale models live in server halls filled with racks of chips that generate tremendous heat, require considerable amounts of electricity to run and significant quantities of water to cool. Similarly, semiconductor fabrication plants require millions of gallons of water daily.
Data centres are being planned for regions simultaneously dealing with drought. Communities near these facilities can often absorb the noise, the water draw and the grid strain – while many of the economic benefits flow elsewhere. The race between major powers to build national AI compute capacity, conducted without coordinated planning, is adding to global energy demand at exactly the moment the world is trying to address it.
The irony is not lost on those paying attention. The same AI systems consuming so much energy are among the most powerful tools available for managing the transition away from fossil fuels: optimizing electricity grids in real time, improving climate models and speeding up materials science behind next-generation batteries.
Whether advanced computing accelerates the energy transition or undermines it depends on where data centres are built and how they are powered. This pressure cuts both ways: while data facilities draw heavily on local grids and watersheds, they are increasingly exposed to financial and operational risks from extreme climate hazards.
What needs to come together for technology to deliver?
These five problems – the governance gap, digital exclusion, cyber fragility, technology sovereignty and the energy cost of AI – are not separate entries in a list; they are one interconnected system.
Closing the governance gap enables equitable AI deployment, while expanding connectivity and skills lets more people participate in the digital economy. Building trusted, resilient systems protects foundational infrastructure, and managing tech sovereignty preserves shared global standards. Meanwhile, unplanned AI energy demands risk deepening the very climate crisis the technology could help solve.
The key to addressing all five rests on the same principle that underpinned this year's Annual Meeting: that public-private cooperation can make a difference where governments, businesses, civil society and researchers alone cannot. Built together, the shared frameworks needed can ensure that when technology deploys at speed, it works for people and the planet, not just for those already best positioned to capture its gains.
More actors than ever recognize this, and more initiatives are working to make it a reality. The conversation is difficult, urgent and unfinished, but it is now taking place across more sectors, governments and communities than ever before.
No single institution, sector, or country can solve these challenges alone, because the challenges themselves do not exist in isolation.
At the World Economic Forum, we work to connect the leaders, ideas and partnerships needed to understand these challenges in full – and to turn shared understanding into collective action. Because moving the world forward together starts with seeing the whole picture.
What’s clear is that technology is not waiting, and neither can the work of governing it well.
No single institution, sector or country can solve these challenges alone – because they do not exist alone. The economic, technological, social and planetary forces shaping our future are deeply interconnected, and so too must be the responses. At the World Economic Forum, we bring together the leaders, ideas and partnerships needed to turn shared understanding into collective action. Because moving the world forward starts with seeing the whole picture.
