Diffusing Productivity: The Fiscal Key to Europe and America's Next Decade
How the speed of AI diffusion will determine fiscal space, geopolitical power, and generational opportunity
AI will change everything. Even with episodes of exuberance and correction, its trajectory is irreversible. The only real question is how fast. Yet speed is not a trivial matter — it will determine geopolitical power, fiscal policy, political stability, opportunities for the young, and the quality of public services for the old.
The Arithmetic of Growth and Debt
Fiscal space in both Europe and the United States will be shaped less by the debate between austerity and stimulus and more by the relationship between growth and borrowing costs.
If nominal GDP grows faster than the average interest rate on government debt, debt ratios decline naturally. If growth lags behind the cost of borrowing, the ratio rises even when budgets are balanced.
Across advanced economies, the starting point is already high.
In the United States, federal debt reached around 118.8 per cent of GDP in Q2 2025. In the euro area, debt stands at roughly 88 per cent. In the United Kingdom, it is close to 100 per cent; France about 111 per cent; Italy roughly 137 per cent.
At these levels, the direction of public debt depends almost entirely on whether productivity growth can outpace financing costs.
A sustained improvement in productivity of 1.5 percentage points a year would raise nominal growth from roughly 3 per cent to 4½ per cent, reversing the current trajectory. By 2035, debt ratios could be ten percentage points lower rather than higher — without austerity or higher taxation.
Even modest, steady gains compound into major fiscal capacity — funding infrastructure, education, and public services while keeping debt sustainable.
The Productivity Choke Points
The difficulty lies in how slowly innovation spreads through the real economy. Construction, manufacturing, energy systems, and building management remain fragmented and digitally inconsistent. These sectors underpin living standards but have absorbed little of the AI-driven progress visible in finance, software, or logistics.
If this gap persists, public-service inflation will continue to outpace real-economy growth. Health, education, and care costs will consume an ever larger share of budgets, while tax revenues stagnate. The result is a debt-pressure loop: higher debt raises borrowing costs, higher costs suppress growth, and fiscal stress undermines political stability.
The Many Facets of Diffusion
Diffusion is not a single technical act — it is an ecosystem. It has technical, regulatory, financial, and strategic dimensions, all of which must align.
Regulatory, because data exchange and AI governance require trusted standards. Financial, because diffusion needs investment frameworks that reward modernisation, not just consumption. Strategic, because vision and coordination determine whether innovation scales. And technical, because intelligence cannot diffuse without infrastructure that connects operational assets, data, and applications securely and at scale.
At its core, diffusion depends on infrastructure — systems that make data reliable, interoperable, and actionable across industries.
Altior: Bringing Data to Intelligence, and Intelligence to Data
This is the role Altior fulfils. A white-label PaaS designed for industrial and critical environments, Altior provides the connective layer between operational systems and AI — the layer that brings data to intelligence, and intelligence to data.
AI needs more data — particularly from energy-consuming devices such as smart meters, submeters, HVAC controllers, and assembly-plant sensors that remain largely invisible to AI platforms because they do not operate on IP-based networks. These non-IP systems account for most of the physical economy, yet their data rarely reach digital environments.
But AI also needs better data: information that is labelled, validated, secure, and auditable. Bad data waste time and computing resources; good data enable the timely design and deployment of relevant AI applications.
Altior solves both challenges. It connects non-IP and legacy devices, transforming their raw outputs into governed, interoperable data streams usable across analytics, digital twins, and AI models. It also allows those models to act — sending optimisations, forecasts, and control signals safely back into live operations without breaching security or disrupting existing systems.
Altior's architecture — combining security, reliability, scalability, and cost efficiency — makes this possible at industrial and national scale. It turns intelligence into infrastructure: a foundation for regulation, policy, and ecosystem partnerships to build upon.
Energy Flexibility as a Case in Point
Energy illustrates the stakes. Around 40 per cent of the lifetime cost of AI systems is energy. As AI adoption expands, power demand will surge — making the grid both an economic and strategic constraint.
Europe faces this most acutely. To secure supply after Russia's invasion of Ukraine, it has imported shale gas at prices around 90 per cent higher than pre-crisis levels. The result: structurally inflated energy costs that undermine competitiveness in manufacturing and digital infrastructure.
The solution lies in digitalising the grid — integrating cheaper, variable renewable energy through real-time coordination of distributed assets. Routing electrons as efficiently as data will allow AI to operate sustainably and affordably.
This is not merely an energy transition; it is a productivity strategy. Lowering energy input costs for AI, manufacturing, and buildings directly expands fiscal space by improving competitiveness and reducing import dependence.
Examples from AI-optimised factories in Germany to UK flexibility markets show how intelligence, once diffused, transforms efficiency into fiscal strength.
A Fiscal and Generational Imperative
Diffusion is now a question of fiscal policy as much as industrial design. It requires technical infrastructure, but also regulatory clarity, leadership, investment frameworks, and ecosystem partnerships that allow scale.
A sustained productivity improvement of just 1½ per cent per year could transform public finances across Europe and the United States by 2035. Without it, service inflation and demographic pressure will deepen fiscal fragility.
Platforms such as Altior — secure, scalable, and accessible — can help accelerate that rate. The faster productivity diffuses, the stronger our fiscal foundations, our geopolitical resilience, and our ability to deliver opportunity for the young and dignity for the old.