Silent Deindustrialization: the Missing Successor Ecosystem
Bernhard Liebl
7 min. read Germany loses economic substance every year without anyone accounting for it. Around 114.000 ...
The unified global market where German companies scaled digitally for 25 years no longer exists. It has fractured into four distinct zones, each with its own regulations, pace, and power logic. For CIOs, CFOs, and strategy leaders, this means markets can no longer be sorted by growth and demand alone-they must now be classified by their regulatory logic.
Key Takeaways
For two decades, the shared assumption was: digitalization unites. Common standards, platforms, and supply chains created a space where a product that worked in California could, with modest effort, run in Munich, São Paulo, or Jakarta. That assumption no longer holds.
The Digital Evolution Index, a long-term study by the Fletcher School at Tufts University, tracks 125 countries across 185 indicators. The 2026 edition sorts them into four clusters that read less like a continuum and more like separate strategic theaters: mature economies with decelerating momentum, digitally advanced countries with high momentum, fast-growing emerging markets, and structurally weak stragglers.
The U.S. and China together account for more than half of the digital gross domestic product of all countries surveyed. Their rivalry-especially in AI-sets the investment tempo for the entire sector. According to Stanford HAI, the performance gap between U.S. and Chinese AI models has virtually closed. For a German company, that’s not a distant observation: it determines which model family its products build on and under which legal and supply-chain regime they operate.
Most European economies-Germany included-fall into the mature-but-slowing cluster. That’s not a flaw; it’s a double-edged position. Heavy investment in data protection, security, and transparency has created a trust premium that can be exported. Nordic fintechs have tested open banking and digital identity in regulated home markets before taking them abroad. BMW and Volkswagen pilot software-defined vehicles and over-the-air updates at home before rolling them into faster-growing markets.
The flip side is visible in the same data. Average global digital-maturity growth has slipped from 4.3 % per year before the pandemic to 2.4 % afterward, and mature markets feel the slowdown most acutely. Strict regulation, high compliance costs, scarce risk capital, and an aging population simultaneously curb speed and demand. The very strength that builds trust also brakes velocity. Ignoring this means planning growth on a map that no longer exists.
The study’s uncomfortable clarity is this: the ability to sort markets by their regulatory logic could soon become as critical as assessing them by growth and demand. Four categories emerge: permissive (U.S. at federal level), state-directed (China, with its “act fast but follow the rules” doctrine), precautionary (the EU with GDPR, AI Act, DORA, NIS2), and hybrid (many rising players cherry-picking from all three models).
For investment planning, this flips the question order. No longer first: “Where is demand highest?” Instead: “In which regulatory zone can the product even operate as intended, and where will rules converge or diverge over the next three years?” An AI-driven product that scales in a permissive market may hit a high-risk classification in the EU’s precautionary space, altering architecture, documentation duties, and liability. This isn’t a compliance footnote-it’s an architectural decision with budgetary consequences.
The number that shifts the calculation
2.4 instead of 4.3 percent. That’s how much global digital-maturity growth slowed after the pandemic. Basing foreign-market forecasts on pre-crisis growth rates systematically overestimates demand and underestimates the weight of regulation and trust.
It’s true that international business has always been fragmented-each market had its own taxes, languages, and rules, and corporations managed the complexity. But the break is deeper: what’s new is not the existence of differences, but the fracturing of the shared technical foundation itself. When model families, cloud stacks, chip supply chains, and data flows split along geopolitical lines, you can no longer build one product and tweak it locally; sometimes you need two architectures.
The war in Iran has also shown that critical digital infrastructure-from subsea cables and data centers to semiconductor supply chains-is a vulnerable target. Digital sovereignty has moved from political slogan to security requirement with investment implications. That’s not an argument against global presence, but for scenario planning instead of blanket assumptions.
Concretely, this doesn’t mean relocating plants tomorrow. It means adding a column to the market list. If you already sit on the investment committee green-lighting foreign markets, rank each region by regulatory logic and run a stress scenario for the two or three most important ones: stricter EU AI or data rules, tariff-driven supply-chain rebuilds, energy-price spikes. Where an architecture only works in one regulatory zone, log that dependency as a risk in the proposal, not in the footnote.
The next chapter of the digital economy won’t be written by the fastest players, but by those who build for a world of dualities: platforms that connect while geopolitics divides. Factoring in that dual nature-rather than wishing it away-leads to better location decisions than competitors still banking on a single global market.
It means that products and AI applications can no longer be scaled within a uniform technical space. Model families, cloud stacks, and data flows are separating along geopolitical lines. Location decisions must therefore assess markets not only based on demand and margin but also according to regulatory logic.
High standards in data protection, security, and trust give Europe an exportable edge and top-tier maturity scores. Yet those same standards slow down pace and risk capital. Europe is stuck in the cluster of mature but decelerating markets whose momentum has weakened most sharply.
By classifying markets according to four regulatory logics: permissive, precautionary, state-directed, and hybrid. For key markets, shock scenarios must include stricter rules, tariffs, and energy prices in the decision brief. Dependence on a single regulatory zone’s architecture must be flagged as a risk.
Source cover image: AI-generated (June 2026)
Image source: AI-generated (June 2026)