In the first part of this investigation, we explored the root causes of techflation: how wars, the helium crisis, AI’s monopolisation of memory, and the energy wall have created a perfect storm threatening the very foundations of our digital economy. Today, we dive into the immediate consequences of this tipping point.
Short-Term Implications: A Reality Check
This vulnerability in supply chains extends well beyond the technology sector alone. As the OECD points out, fertilisers represent a particular risk, with “Gulf states accounting for 34% of global urea exports and approximately 20% of exports of diammonium phosphate and anhydrous ammonia in 2024,” which will have “adverse consequences for agricultural yields and global food prices in 2027 if the situation persists” [26]. The digital world is thus merely the visible tip of a much deeper systemic crisis.
Over the next eighteen months, techflation will stop being an abstract concept debated by financial analysts and become a tangible, painful reality felt by every business and every consumer. The myth of ever-cheaper technology is crumbling before our eyes.
What Will Cost More, and by How Much
The first shockwave will hit directly at our wallets and corporate IT budgets. Mapping the price increases ahead paints an unsettling picture.
Smartphones, personal computers, graphics cards, as well as cloud services and software subscriptions (SaaS) will all face marked inflation. The reason is mathematical: when the prices of foundational components — such as memory or processing chips — skyrocket, the entire value chain is affected.
The most striking development will be the gradual disappearance of what might be called the mid-range “death zone.” Historically, the market offered a wide selection of devices priced between €100 and €300, striking an acceptable balance between cost and performance. Today, with memory costs exploding — potentially accounting for up to 20% of the total component cost in this category of device — this segment is becoming economically unviable for manufacturers. Analyst firm IDC has noted that the sub-$100 phone segment, which once represented hundreds of millions of units, has simply become unprofitable.
For businesses and public bodies, the equation looks equally challenging. IT departments, long accustomed to keeping costs down through cloud adoption, are about to discover that outsourcing is no longer a shield against inflation. Cloud providers, themselves facing rising energy, server, and component costs, will inevitably pass those increases on to their customers. IT budgets will need to be increased — not to innovate, but simply to keep the lights on.
The Androidcalypse and the Reshaping of the Mobile Market
This cost pressure will not only push prices higher; it will destroy companies and entirely reshape the mobile phone landscape. We are on the brink of what some observers are already calling the Androidcalypse.
Android smartphone manufacturers — particularly those positioned at the entry and mid-range level — have traditionally operated on razor-thin margins. A near-doubling of memory prices is, for them, a death sentence. The early signs of this carnage are already visible. Historic brands like Asus have frozen their phone development, while others, like Meizu, have suspended their traditional commercial operations to pivot towards niche markets or artificial intelligence. Chinese giants such as OPPO, Vivo, and Honor have been forced to announce coordinated price hikes of 15 to 25% on their domestic markets in an attempt to survive.
While the Android ecosystem struggles to absorb these increases, players with strong vertical integration — Apple being the prime example — are demonstrating a structural resilience. With comfortable gross margins (hovering close to 50% on hardware and exceeding 75% on services), these companies can absorb the shock of rising component costs without raising retail prices. This financial asymmetry even allows them to launch entry-level models at aggressive price points while improving technical specifications. The resulting market dynamic is relentless: the weakness of traditional manufacturers mechanically benefits closed ecosystems, accelerating the concentration of the sector around the most profitable players.
The real victims of this reshaping will not only be Asian manufacturers, but above all the populations of emerging markets. Across Africa, Southeast Asia, and Latin America, the affordable smartphone has been the primary — and in many cases the only — gateway to the internet, education, and financial services. Counterpoint Research forecasts smartphone shipment declines of between 14 and 19% in these regions for 2026 [3]. Techflation thus risks opening a new digital divide, shutting millions of people out of the global economy.
The Supply Chain Under Maximum Strain
Behind the smartphone crisis lies a far more serious systemic vulnerability: that of the semiconductor supply chain. The global industry rests on a precarious balance, concentrated in the hands of a small number of irreplaceable players.
Three companies — Taiwan’s TSMC and South Korea’s Samsung and SK Hynix — now constitute single points of failure for the global economy. If any one of these links were to break — due to a helium shortage, a maritime blockade, or an armed conflict — the consequences would be incalculable.
Lead times are already stretching. And this slowdown is not limited to consumer electronics. The automotive industry, which integrates ever more onboard electronics, the defence sector, which relies on sophisticated chips for weapons systems, and the medical sector, a major consumer of sensors and imaging equipment, are all on the front line.
Faced with this threat, the question of strategic stockpiles has become central. Governments and large corporations are attempting to secure their supply chains, but the reality is harsh: in an industry where innovation is constant and components become obsolete within months, building up massive reserves is technically complex and financially risky. Many players are pretending to be prepared while actually navigating blind, hoping the storm will pass before their reserves run dry.
Financial Markets in Denial
In the face of these structural upheavals, the reaction of financial markets is surprising, to say the least. Wall Street, dazzled by the promises of artificial intelligence, appears to be treating this systemic crisis as a simple quarterly margin issue.
Analysts continue to model rising component costs as a temporary disruption, convinced that the magic of technological innovation will eventually restore equilibrium. They are ignoring warning signals flashing from all directions: the extreme concentration of production capacity, the vulnerability of supply routes, and the depletion of critical resources.
This collective denial carries within it the seeds of a tech crash of unprecedented magnitude. If investors suddenly realise that the infinite growth of digital giants is constrained by insurmountable physical and geopolitical limits, the market correction could be brutal. Techflation is not merely an industrial challenge; it is a financial time bomb that markets are stubbornly refusing to confront.
Medium-Term Implications: The End of an Era
If the next eighteen months look turbulent, the period that follows — spanning the next five years — will mark an even deeper rupture. We are about to witness the definitive end of technological globalisation as we have known it since the fall of the Berlin Wall. The flat, interconnected, interdependent world is giving way to a fragmented one, bristling with tariff barriers and digital walls.
The End of Technological Globalisation
The main driver of this fragmentation is the deliberate decoupling between the United States and China. What began under the Trump administration as a trade war fought with tariffs has evolved, under the Biden administration and beyond, into a full-blown technological cold war. Washington’s objective is no longer simply to rebalance trade, but to actively impede China’s technological development — particularly in the strategic domain of artificial intelligence and advanced semiconductors.
The embargoes on ASML’s extreme ultraviolet (EUV) lithography equipment, the restrictions on exporting the latest Nvidia chips, and the pressure applied on Asian and European allies to align with this policy have created a global shockwave. China, stung, has responded by massively accelerating investment in its own technological autonomy. Its fifth five-year plan has made critical technologies an absolute priority, mobilising enormous state resources to circumvent American sanctions.
In this clash of titans, Europe finds itself caught in a vice, in a position of alarming vulnerability. On one side, it has become the technological vassal of the United States. On the other, it remains a prime target market for Chinese exports — whether electric vehicles, solar panels, or low-cost e-commerce platforms like Temu, which are dismantling local retail structures.
This dynamic is inevitably leading to the emergence of distinct and potentially incompatible technological blocs. The “Splinternet” — the concept of an internet fragmented along geopolitical lines — is becoming a tangible reality. Tomorrow, a smartphone designed for the American bloc may no longer communicate seamlessly with Chinese-bloc infrastructure, and vice versa. Standards, security protocols, and hardware architectures will diverge, forcing international companies to duplicate their R&D efforts to adapt to each sphere of influence.
Digital Sovereignty: Finally Serious, or Still Cosmetic?
Confronted with this reality of technological vassalage, the question of European digital sovereignty is back in the spotlight. But this time, there is no room for incantatory rhetoric; urgency demands action.
The figures are damning: today, 72% of France’s cloud spending flows directly to American giants (AWS, Microsoft Azure, Google Cloud), a finding documented in detail in an earlier analysis [14]. This dependency is not merely a trade deficit issue; it is an existential threat to our data security. The American CLOUD Act, adopted in 2018, allows US judicial authorities to demand access to data held by American companies, even when that data is physically stored on European soil. This extraterritorial legislation is on a direct collision course with Europe’s General Data Protection Regulation (GDPR), leaving companies on the continent in a state of permanent legal uncertainty.
For years, European governments believed they had found a workaround with “trusted cloud” or “hybrid sovereign cloud” offerings. The idea was to entrust the commercial and legal management to local players (such as Bleu, the joint venture between Orange, Capgemini, and Microsoft, or S3NS, combining Thales and Google) while using the underlying technology of American giants. But these hybrid solutions are little more than sticking plasters. They do nothing to address the fundamental technological dependency. If Microsoft or Google were to decide, under pressure from their government, to cut access to their licences or unilaterally change their pricing (as Broadcom did after acquiring VMware, imposing staggering price hikes on its customers), Europe would find itself paralysed.
Recent events illustrate this fragility in stark terms. In February 2025, FluidStack had made a high-profile announcement of a €10 billion investment at the Paris AI Summit — roughly 10% of Macron’s €109 billion plan. By March 2026, Bloomberg revealed that the company was abandoning its two French projects, including a one-gigawatt data centre in northern France that had been designated a priority site by RTE. While this departure is primarily motivated by energy costs and the weight of European regulation, it coincides with the signing of a $50 billion agreement to supply computing power to Anthropic, pushing FluidStack to concentrate its new infrastructure in New York and Texas [25]. The timeline is telling: five weeks before this departure was made public, Mistral had quietly announced its first infrastructure investment outside France, in Sweden [26]. Meanwhile, the ambition displayed at the Paris summit had rested on a company that had raised just $4.5 million before the event [27]. This is what the absence of industrial sovereignty costs in concrete terms: spectacular announcements that migrate to wherever energy is cheaper and regulation less burdensome.
A genuine digital industrial policy would require far more radical measures. It would need to massively direct public procurement towards purely European players, invest heavily in fundamental research on next-generation cloud architectures, and accept — in the short term — a potential technological lag in order to guarantee long-term strategic independence. Europe managed to do this for aerospace with Airbus, and for space with Ariane; it is incomprehensible that it should abandon the same logic for the most critical infrastructure of the 21st century.
Liberation Through Open Source: Local AI and Open Hardware
In this context of techflation and fragmentation, a glimmer of hope is emerging: the convergence of local artificial intelligence (or “Edge AI”) and open hardware. What was considered just a year ago to be a curiosity for passionate developers is rapidly becoming an existential necessity for businesses and states seeking sovereignty.
The current dominant model — promoted by OpenAI, Google, or Anthropic — relies on enormous models hosted in centralised, massively energy-hungry data centres. This model requires constantly sending data to the cloud, paying inference costs (the price of each query sent to the AI) that keep climbing, and accepting total opacity about how that data is used.
Faced with the explosion of cloud costs and sovereignty risks, the cost/performance/security equation is shifting. Companies are realising they don’t need an all-knowing, proprietary, expensive model to analyse their invoices or optimise their supply chain. The open-source ecosystem has reached impressive maturity, now offering viable and capable alternatives to the closed models of big tech. Open models such as Llama (Meta), Mistral (Mistral AI), and Qwen (Alibaba) now compete with the best proprietary solutions across a wide range of tasks. These models, often more compact and specialised, can be deployed locally — directly on company servers, or even on employees’ computers.
This lean approach offers decisive advantages. It drastically reduces energy bills and cloud subscription costs. It ensures sensitive data never leaves the company’s perimeter, meeting security and compliance requirements. And it provides resilience against network outages or unilateral decisions by American providers.
But this pursuit of independence and cost optimisation would be incomplete if it were limited to software; it is now extending to the very heart of hardware. Against the historical duopoly of x86 architecture (Intel, AMD) for computers and servers, and ARM architecture for mobile devices, an open-source alternative is gaining momentum: RISC-V. This open and royalty-free instruction set architecture (ISA) allows any company or nation to design its own chips without paying exorbitant licensing fees or depending on foreign patents [17].
The adoption of RISC-V is no longer a theoretical promise — it is already an industrial reality. In Europe, companies like Spain’s Semidynamics are designing RISC-V vector computing units specifically optimised for AI, allowing them to move away from costly traditional graphics processing units (GPUs) [30]. In India, the drive for emancipation has been taken to state level: government research centre C-DAC has developed and put into production the Vega processor family and the Tejas 32 system-on-chip, both based on RISC-V, to equip local industry and the Internet of Things without depending on Western intellectual property [31]. By combining open AI models with royalty-free chips, these players are laying the foundations for genuine end-to-end technological sovereignty.
The Reshaping of the Global Tech Ecosystem
The current crisis is not only producing losers. It is reshuffling the deck and bringing new nodes to the surface within the global technology value chain.
China, though weakened by American sanctions, paradoxically finds itself accelerating in its quest for independence. Forced to develop its own hardware and software ecosystems, it could, over time, offer a complete and competitive alternative to Western standards — one that attracts Global South countries unwilling to align with Washington.
Other countries are seizing their moment by positioning themselves as credible alternatives to the Chinese factory of the world. India, armed with its vast pool of engineers and the political will of the Modi government, is attracting massive investment to develop its own semiconductor and electronic assembly industry. Vietnam is establishing itself as a preferred production base for Western companies looking to diversify outside China (the so-called “China Plus One” strategy). In Europe, Poland and eastern Germany (with the planned TSMC factory in Dresden) are attempting to rebuild a cutting-edge industrial base, backed by billions of euros from the European Chips Act.
This new industrial geography will be more multipolar, more complex to navigate, but potentially more resilient in the face of localised shocks. It will demand from companies an unprecedented level of agility to move between different jurisdictions, diverging standards, and permanent geopolitical tensions.
The American Paradox: The Energy Advantage
There is, however, a major paradox in this global reshaping. While the energy crisis hits Europe, Southeast Asia, and the Middle East full on, the United States finds itself in a structurally advantageous position: its natural gas surplus, combined with already-saturated LNG export capacity, keeps domestic prices at a relatively low level [28]. The result is that the concentration of AI infrastructure on American soil is accelerating, to the detriment of the rest of the world. This paradox sharpens precisely the dynamic of vassalage that Europe is seeking to counter: the crisis that should be driving autonomy is mechanically reinforcing dependence on the one player that suffers from it the least.
The fragmentation of the digital world is under way, and the reshaping of the global technology ecosystem is redrawing the lines of sovereignty. But if this tipping point is inevitable, are we condemned to endure it passively? Are there still choices to be made — by states, by businesses, by citizens? That is what we will explore next week in the third and final part of this series, dedicated to the scenarios of the decade ahead and the strategies for navigating the world that comes after.
References
[3] Counterpoint Research. “Smartphone Shipments in 2026 to See Sharpest Decline on Record as Memory Crisis Deepens.” 27 February 2026. https://counterpointresearch.com/en/insights/Smartphone-Shipments-in-2026-to-See-Sharpest-Decline-on-Record-as-Memory-Crisis-deepens
[14] Buschini. “72% of our digital sovereignty under American flag: the urgency of a European cloud.” buschini.com. https://www.buschini.com/72-de-notre-souverainete-numerique-sous-pavillon-americain-lurgence-dun-cloud-europeen/
[17] TokenRing AI / Wedbush. “RISC-V’s Rise: The Open-Source Alternative Challenging ARM’s Dominance.” 24 December 2025. https://markets.financialcontent.com/wedbush/article/tokenring-2025-12-24-risc-vs-rise-the-open-source-alternative-challenging-arms-dominance
[25] Bloomberg. “Fluidstack Drops Out of Marquee €10 Billion AI Project in France.” 18 March 2026. https://www.bloomberg.com/news/articles/2026-03-18/fluidstack-drops-out-of-marquee-10-billion-ai-project-in-france
[26] OECD. “OECD Economic Outlook, Interim Report March 2026: Testing Resilience.” March 2026.
[27] Bloomberg. “Fluidstack Eyes Raising Up to $200 Million for AI Supercomputer.” 20 February 2025. https://www.bloomberg.com/news/articles/2025-02-20/fluidstack-startup-behind-10-billion-french-data-center-eyes-200-million
[28] McCarty Carino, Meghan. “How skyrocketing natural gas prices will impact U.S. data centers.” Marketplace / NPR, 23 March 2026. https://www.marketplace.org/story/2026/03/23/how-high-natural-gas-prices-will-impact-us-data-centers
[30] Jagdale, Saumitra. “Navigating the RISC-V Revolution in Europe.” EE Times, 31 January 2024. https://www.eetimes.com/navigating-the-risc-v-revolution-in-europe/
[31] Razdan, Yashasvini. “India Paves Dual RISC-V Tracks with C-DAC and Startup Silicon.” EE Times, 8 December 2025. https://www.eetimes.com/india-paves-dual-risc-v-tracks-with-c-dac-and-startup-silicon/