Today, that utopian dream is colliding with reality. The internet is facing its “Strait of Hormuz” moment, and the primary chokepoints could be the fiber optic cables.

Think of these cables as the shipping lanes of the digital economy, and data centers as their ports. If these lanes are blockaded, severed, or heavily contested, digital trade (~20% of global GDP) is disrupted. The cascading second-order effects - ranging from the balkanization of the internet to a surge in sovereign infrastructure investments - are creating a massive, unrecognized paradigm shift.

The vulnerability lies in an astonishing concentration of both geography and ownership:

• 95% of global internet traffic runs on roughly 570 undersea cable systems.

• Hyperscalers control from 60-90% of capacity depending on the route.

• ~20% of global data flows through the heavily contested Red Sea corridor linking Asia and Europe.

• Supply Chain Duopoly: Just three companies—SubCom (US), ASN (France), and NEC (Japan)—control 87%of cable manufacturing.

• Maintenance Fragility: There are fewer than 80 repair ships globally. A geopolitical blockade of territorial waters can turn a routine, weeks-long fix into a catastrophic, months-long outage.

The Topography of Control

The historical precedent for this is the British Empire’s “All Red Line” - a 19th-century telegraph network designed to only touch British soil to prevent wartime interception. Today, we are witnessing the construction of a modern All Red Line, dominated by US tech giants.

US hyperscalers now control 90% of capacity on the trans-Atlantic route. Traditional European operators- who once dominated these waters- hold a rump 2% share. This creates a unilateral risk for Europe: its digital trade, autonomous and digitally connected hardware, and payment rails are completely reliant on infrastructure governed by the US CLOUD Act.

The trans-Pacific route is a little more contested. Hyperscalers hold roughly 60% of capacity, while state-aligned Asian operators hold 25%. Geopolitical risk premia are visibly redrawing the map: cables commissioned since 2020 routinely exclude Chinese carriers, Google controls over a third of the Pacific’s capacity, and routes are intentionally bypassing the South China Sea in favor of Indonesian waters.

Meanwhile, as the Suez-to-Bab al-Mandab corridor proves highly vulnerable (with 25% of traffic disrupted by Red Sea cable cuts in 2024), Africa is quietly emerging as the critical new middle point for global traffic, sparking a proxy war of parallel network build-outs between the US and China.

The White Space for Builders and Capital

When physical shipping lanes degrade, trade stops. When digital infrastructure degrades, traffic re-routes - but at the cost of severe economic friction. As markets and nations factor these vulnerabilities and their increased probability into their strategic calculations, the “splinternet” starts to become a physical reality.

As much as it is a big risk for the current form factor of the Internet and services and trade running on top of it. For the architects of tomorrow, this balkanization potential presents an opportunity both in terms of building the infra as well as the services enablement layer. The mandate is clear: build redundancy.

We are entering a super-cycle of CAPEX investment aimed at circumventing these chokepoints. The immediate beneficiaries will be Edge Computing (keeping data processing onshore), Sovereign Cloud Architectures, Localized Essential Digital Services and Products and Space-based Communications.

Over the last three decades, digital economy has moved from the periphery to an increasingly center stage of the overall global trade. It started with the dot-com era, and has evolved to stablecoins and digital currencies emerging as the preferred settlement mechanism for global trade. Today, as per the World Bank, the digital economy is about 15% of the overall economy but it’s growing at almost 2X the overall economic growth rate.

The second-order impacts of this increasing share range from the individual to the country-level policy. It is changing the design, distribution, and consumption of products and services, the communication channels and trends between firms and consumers, the payment and financial services layers and rails, and even the policies each country is enacting to participate in this growing digital economy while protecting its constituents.

However, much of the underlying infrastructure that is supporting this growing share of the digital economy is a patchwork of many disparate and often ill-fitting systems designed as an afterthought to plug certain gaps on top of the foundation of this economy - the internet. What we fail to perhaps often acknowledge and appreciate is that the foundation of the internet was built more for information sharing rather than trade, and thus has its limitations in carrying the increasing weight of the digital economy.

The development of the digital infrastructure closely mirrors the expansion of the railroads and the telegraph system. Initially, railroad construction in the 1820s and 1830s resulted in a fractured web of independently owned, localized lines with incompatible physical attributes, such as varying track gauges. It was not until the period between 1860 and 1890 that administrative practices and technological aspects were unified, allowing for a genuinely integrated national and global transportation system. The digital economy is currently in a similar phase of growth and fragmentation leading to what could perhaps be national unified and interoperable digital infra.

Below are the signals across 5 dimensions where change seems to be emerging from:

• The Technological Question

• The Geopolitical Aspect

• The Macro Economic Aspect

• The Societal Perspective

• The Energy & Security Perspective

The Technological Question: Control, Trust and Security For Trade

The internet was conceived as an open and information-sharing network. Therefore, much of it is centered around ‘information’. The proliferation of digital information gave rise to websites, websites gave rise to more types of information sharing such as music and video, this exchange led to social communities and commerce, and these gave rise to digital payments and advertising. The introduction of smartphones somewhere in the middle of this journey allowed for all of this to be accessible on the move.

The digital economy was thus centered around ‘information technology’ and built infrastructure vertically - new platforms on existing architectures and protocols/standards, new services leveraging old networks, innovation compounding on foundations laid years ago.

But the locus of the digital ecosystem has shifted from ‘information’ to ‘trade’ and that shift requires a shift in the tenets of underlying infra as well - a move towards ‘trust’, ‘safety’ and ‘resilience’ as its underlying foundations - akin to the sea shipping lanes for the physical economy.

Many issues we see with the digital economy today - fraud, cybersecurity, surveillance, monopolization, critical infra risks - all ladder up to the market players exploiting the architecture and market dynamics (such as monopoly networks, the anonymity offered by the internet, sharing of data to access websites, etc.) which were fair for information exchange but are detrimental to fair and secure trade.

Three themes capture the emerging infrastructure signals:

• Concentration of Control & Toll-Booth Economy: The current server-client architecture of the internet stems from the information-sharing era. In the early days of the internet, the compute power of devices was limited and information was concentrated in research labs, academic institutions, corporates, etc. This gave rise to a client-server architecture where the consumer needed to send their request and info to the server to consume any product or service. As we evolved digital products & services from information to networks, entertainment, commerce, and critical services - this architecture remained, creating large pots of data & information all within the silos of the companies managing these platforms and services. Often, these companies themselves are concentrated within certain geographical regions - creating a critical dependency, surveillance, risks of being cut off as well as an imbalance of trade. Now, with blockchain and tokenized economies, new architectures are developing.

• Lack of Identity, Trust and Legal frameworks: Fair and secure trade requires ‘trust’ in the transaction. However, this infrastructure layer lags behind the global accessibility that the digital economy is affording. Trust means being able to verify the identity of the parties involved, to be able to judge the authenticity of a transaction, to have secure and unrestricted means of payment, and legal protection in case of a transaction going south. There is no centralized mechanism for a buyer on a website to authenticate the legitimacy of the business. Sending payments globally is still cumbersome and expensive for many businesses, and increasingly complex due to fraud prevention and AML checks etc. The anonymous and digital nature of the internet from the information-sharing era has also evolved into the ‘trade’ era - with minimal support and a lack of legal recourse across global jurisdictions in case of a ‘bad trade’. As of recent data, 850 million people globally lack any form of official identification, and a staggering 5 billion people live in jurisdictions without a secure digital ID capable of facilitating secure online access to public and private sector services. Furthermore, only 96 economies have fully operationalized the legal frameworks and technological infrastructure necessary for e-signatures, a fundamental requirement for digital trade.

• Security Vulnerabilities: Core protocols that direct traffic, such as DNS, were designed for an era of high-trust academic networks. Simultaneously, the progress in quantum computing is opening the risks of the current security and cryptographic protocols being obsolete. These encryption algorithms (such as RSA and ECC) currently secure the global financial system, digital trade, and private communications. Adversaries are already employing “harvest now, decrypt later” strategies, intercepting highly sensitive encrypted data today with the intent to decode it when quantum capacity matures. The structural gap here is quite risky: upgrading the entirety of the internet’s cryptographic foundation—including web browsers, VPNs, firmware signatures, and legacy rails—requires a level of coordinated execution, discovery, and automation that current fragmented governance models are ill-equipped to handle.

This is leading the countries to invest in digital public infrastructure, even though the pace of its development lags the growth of digital economy especially with the acceleration afforded by AI.

The Geopolitical Aspect: Digital Sovereignty In an Increasing Multipolar World

Countries are increasingly re-considering their control and design of digital infrastructure. What was once global, open, and commercial - building data centers, laying fiber optic cables, processing payments - is now a strategic national capability. No country wants to be dependent on systems and infrastructure offered by another - and run the risk of being held hostage.

The biggest challenge in the infrastructure for governments here is increasing concentration and dependency on foreign commerce, and payments platforms, and the AI and cloud infrastructure.

Canada has launched a sovereign cloud infrastructure and mandates that data generated within its borders must be copied to it. India requires payment transaction data to remain on domestic servers. The European Union is increasingly redefining digital rules, and some countries have banned digital products made elsewhere for govt work, due to safety concerns.

AI has increased the urgency of conversations around digital sovereignty in policy making. The US has introduced a regulation to vet AI models, and Anthropic restricted access of its newest model to hand-picked companies, most of which were concentrated geographically in North America.

Regulators and governments globally are watching these developments and increasingly looking to be self-reliant and de-risk their digital economies. Additionally, the digital sovereignty play is not just limited to software but also extending into hardware.

China processes 60% of the world’s rare earth elements and controls 80% of global refining capacity, giving it leverage over the physical components that underpin all digital infrastructure. The semiconductor supply chain, previously optimized across global networks with design in the US, fabrication in Taiwan, and assembly in Southeast Asia, is now being duplicated regionally at significant cost. The US CHIPS Act commits $52 billion to domestic semiconductor manufacturing explicitly to reduce dependence on Asian supply chains. More recently, modems, AI models, and auto parts have also come under regulation to prevent ceding sovereign control over critical infra.

The implications of this are both economic and technological.

On one hand, this would mean significant CAPEX investments into building out the digital infra which will push money out of financial markets, thus deleveraging asset valuations. On the other hand, the technical architecture of digital services is being reengineered. We are moving from an architecture for global distribution and optimization to regional restrictions and perhaps even on-premise and edge computing.

A fintech startup in 2015 could build once and deploy globally. A fintech startup in 2026 must now build for different data storage requirements, regulatory frameworks, payment rails, and infrastructure partners in each major market. Development costs rise when similar solutions must be rebuilt for each jurisdiction. Innovation slows when platforms cannot leverage unified datasets to train algorithms or detect fraud patterns globally.

While this preserves digital sovereignty, the efficiency gains and technological innovation that propelled digital economy growth are being partially reversed. It is the digital equivalent of Autarky - where closing the borders leads to self-reliance but less growth and increased inflation.

The Macro Economic Aspect: Tariff Era and End of Open Digital Trade

Structurally, the global digital economy has relied on a foundational agreement to keep electronic transmissions free from taxation. However, this architectural pillar collapsed at the World Trade Organization’s (WTO) 14th Ministerial Conference (MC14) in March 2026, where members failed to reach a consensus to extend the moratorium on customs duties on electronic transmissions. The expiration of this moratorium, which had been in place since 1998 and protected digital trade from punitive tariffs, fundamentally alters the economic infrastructure of the web.

With increased barriers, protectionism, and tariffs in global physical trade, it is only a matter of time before that perspective shifts into digital trade. The fundamental aspect here is that the global barrier-less architecture of Internet allows firms based in one geography to extract value from the consumers and data in another country. Many of the most dense clusters of data generation are in emerging economies, but they have no share in this economic value created and is leading to transfer of wealth to developed economies which tend to be, the current providers of digital platforms.

Countries such as India, Brazil, and South Africa actively opposed making the tariff ban permanent and pushed for its expiration. The argument being that developing countries could generate forty times more tariff revenue by imposing customs duties on electronic transmissions than developed nations can. On the other hand, 23 countries—including the United States, the United Kingdom, Japan, and Mexico—recently signed an agreement committing not to impose e-commerce customs duties among themselves. Thus, block trade policies are emerging in digital trade as well.

A number of European countries have implemented active Digital Service Taxes, including Austria, France, Hungary, Italy, Spain, Turkey, and the United Kingdom.

A software company that once distributed globally at near-zero marginal cost would face tariff calculations, customs procedures, and compliance costs at each border. Cloud providers would need to factor in duties on cross-border data processing services.

The loss of the moratorium and lack of progress on the OECD framework for digital taxations highlights a profound misalignment between the inherently borderless design of digital infrastructure and the increasingly protectionist impulses of sovereign governments, setting the stage for a fractured, regionalized internet where data flows are regulated identically to physical cargo.

The Societal Perspective: Consumer Fatigue and the Extraction Model

The business model of the digital economy has been digital consumption and extraction. Platforms extract attention, convert it to data, monetize that data through targeted advertising or algorithmic optimization, and reinvest proceeds into acquiring more users to extract more data. Much like lending and credit drives the physical economy. This worked when consumers perceived net benefits - convenience, connectivity, entertainment - that exceeded the costs of surveillance and data harvesting.

This is where increasing consumer fatigue, social unrest, and pressure on regulators is shifting the equation.

The EU Digital Services Act (DSA) requires platforms to mitigate “systemic risks” related to addictive design and algorithmic rabbit holes. Australia has banned social media for teenagers. The EU Digital Markets Act (DMA) prohibits platforms from combining personal data collected across their different services (e.g., mixing search data with social media data) without explicit user consent.

Consumers also increasingly understand that their data generates value they don’t capture. The asymmetry is becoming visible - creating pressure on the regulators. Countries such as Australia have legislated a consumer data right providing consumers the right to own, control, and share their data across key sectors such as financial services, energy, and health.

Recently, a book titled “ The Anxious Generation” chronicling the psychological impacts of high screen time on youth by Jonathan Haidt spent 100 weeks after its launch on the New York Times bestseller list.

This emerging shift raises two questions that are tied to the infrastructure of the digital economy:

Firstly, who owns the data and whether individuals should receive compensation for data that generates economic value. Proposals for “data dividends” or “national data funds” suggest mechanisms to distribute value back to data contributors, fundamentally altering the architecture and digital business models built on free data extraction.

Secondly, surveillance fatigue manifests in changing consumption patterns. Younger demographics increasingly avoid platforms perceived as extractive, seeking alternatives that promise privacy or user control. The rise of decentralized platforms, encrypted messaging, VPN usage, Ad blockers, etc. means consumers are actively resisting the extraction model.

This resistance creates infrastructure implications. If platforms cannot extract data as freely, they cannot train algorithms as effectively. Recommendation systems degrade. Targeting becomes less precise. The efficiency advantages that made digital platforms dominant - their ability to match supply and demand, personalize experiences, optimize operations - depend on data flows that consumers are increasingly willing to block.

This societal resistance to unrestricted data extraction directly intersects with the mounting pressures on the physical resources required to sustain these current models.

The Energy & Security Perspective: Critical Infrastructure Under Pressure

The physical infrastructure supporting digital services faces constraints that compound technology, economic, and geopolitical considerations.

Data centers require enormous amounts of power - a single hyperscale facility consumes enough electricity to power a small city. McKinsey projects 156 GW of AI-specific data center capacity demand by 2030, requiring 125 GW of incremental additions. Goldman Sachs forecasts data center power demand increasing 165% by 2030 relative to 2023 levels. The first constraint thus is power availability.

Water poses another constraint. A single hyperscale data center can consume up to 1.5 million liters per day for evaporative cooling. As high-density AI racks dissipate 40-60 kilowatts of power - eight times traditional enterprise levels - cooling requirements intensify.

While currently there is a massive influx of CAPEX to build these energy and water infra out, the sustainability of the energy required per unit of digital economic growth remains questionable.

The physical backbone of the digital economy - the submarine fiber-optic cables - have become highly politicized. Over 95 percent of global internet traffic, facilitating roughly $10 trillion in daily financial transactions, travels through these networks. In regions like the Pacific Islands, which rely on these cables for basic connectivity and economic participation, infrastructure investment has become a proxy for geopolitical dominance.

The United States, Australia, and Japan are actively coordinating to fund undersea cables in the Indo-Pacific. Their explicit strategic aim is to crowd out Chinese-owned infrastructure, thereby reducing Beijing’s perceived espionage capabilities and maintaining leverage over global data flows. China, conversely, leverages its vast capital and state-backed telecommunications firms to offer rapid, cost-effective digital connectivity to developing nations, accompanied by broader strategic alignments. China’s recent live-fire naval drills in the Tasman Sea and the unveiling of deep-sea cable cutters serve as unmistakable demonstrations of power, highlighting the vulnerability of these underwater choke points.

Lastly, cybersecurity threats compound infrastructure vulnerabilities. Critical infrastructure - power grids, water systems, financial networks - increasingly operates through digital controls that present attack surfaces. Nation-states develop cyber capabilities to disrupt adversary infrastructure. Criminal networks target financial systems, healthcare providers, and municipal governments with ransomware. The infrastructure that enables digital services is itself vulnerable to digital attack, creating cascading failure risks where compromising one system can disable others dependent on it.

Implications: The Infrastructure Realignment

All of these points lead back to one question: Do we need to rethink the infrastructure on which we are increasingly expanding the digital economy footprint?

While the fundamental transport protocols provide a baseline of connectivity, the higher-level infrastructure—identity frameworks, data sovereignty standards, and cloud computing ecosystems—remains deeply siloed and heavily monopolized.

Larger countries with economic and technical capacity are building comprehensive digital infrastructure stacks and supporting physical supply chains. Smaller countries face stark choices. They cannot afford to build comprehensive digital infrastructure stacks. They must choose whose infrastructure to depend on. This choice carries strategic implications.

This represents a fundamental shift in how digital infrastructure operates and who controls it. The open internet built on voluntary cooperation and shared protocols is giving way to managed digital ecosystems with defined borders, access controls, and sovereignty requirements. The efficiency gains that drove digital economy growth - instant global reach, near-zero marginal costs, network effects at planetary scale - are being traded for resilience, sovereignty, and control.

Whether existing digital infrastructure can withstand coming changes depends on how rapidly and completely this transition occurs. A gradual shift allows infrastructure to adapt - data centers get built in new locations, supply chains diversify, platforms adjust to regional requirements. A rapid shift triggered by geopolitical conflict, major cyberattacks, or infrastructure failures could overwhelm adaptation capacity, leaving critical gaps in digital infrastructure precisely when AI and other emerging technologies demand more.

The digital economy is no longer building vertically on stable foundations. It is simultaneously building new foundations while the old ones fracture beneath it, hoping the new infrastructure completes before the old infrastructure fails. To survive this realignment, organizations must transition their strategies from efficiency-optimized global models to resilience-optimized regional architectures.

Many people believe the future of work will be entirely freelance and fractional, but we may expect a major split instead. The workforce can potentially divide into two groups: a large group of temporary workers handling daily tasks and execution, and a smaller, elite group of permanent employees handling high-level strategy and shaping the execution.

For these high level strategy and shaping roles, full time employment can actually become more important than ever to ensure trust.

Emerging Weak Signals and Shifts

This bifurcation has a few contextual drivers:

• The “Trust Deficit” in Digital World: While companies happily outsource coding or design to gig platforms, they are increasingly risk-averse when it comes to hiring C-suite executives for long-term strategy. Therefore, higher roles are increasingly network-based as in a high noise and distrust environment, a “vetted introduction” becomes the only efficient filter. The signal seems to be: You cannot “gig” corporate culture or institutional memory.
  

• The Commoditization of “Hard Skills” by AI: Generative AI is rapidly commoditizing technical expertise in coding, data analysis, and copywriting etc. This means, organizations have the flexibility of outsourcing it to low-cost employment regions or onboarding gig workers for these kinds of roles.
  

• The “Halo Effect” in Crisis Management: As the world returns to more and more concentrated power and wealth, firms with leadership teams boasting strong networks and elite credentials retained investor confidence longer than those without. The market implicitly signals that personal and network influence acts as an insurance policy against volatility.
  

• Reputational Anchor In Automated Org: In an increasingly automated and agentic organization, corporation would need to have a reputational anchor. This will be the ‘core’ - For positions involving trade secrets, M&A strategy, or fiduciary responsibility. . It will be smaller, more exclusive, and harder to enter. To gain entry into the Core, you will need to demonstrate total alignment, loyalty, and cultural fit.

Citadel and Cloud Model

As AI takes over technical tasks at entry and mid level, companies are moving toward a bifurcated labor model with a massive group of temporary gig workers and a tiny, exclusive “inner circle” of permanent leaders.

Therefore a possible scenario of corporate hierarchy in the future is of a “cloud and citadel”. The vast majority of people will work in “The Cloud,” a global market of digital gig workers where success depends on speed and technical skills. Meanwhile, a small, elite group will occupy “The Citadel,” managing high-level strategy and capital where companies will prioritize the deep trust, geolocation, and exclusive network access that come with prestigious backgrounds.

For the average worker, the future seems flexible and skill-based. But for the “elite” positions, the future seems conservative, credentialist, and deeply human.

Behind the seamless magic of our digital existence is the convergence of the internet and the Cloud. For most of us, we take “The Cloud” for granted, assuming it is the native form of infrastructure, the only logical way to build a digital society. But it was not inevitable that we ended up here - infact it was a very rational choice, driven by specific economic motivations that have profound consequences for how our world is designed today.

To understand why we are so hooked to consumption in the digital economy, we have to look at the plumbing. We have to look at how the money moves in digital economy.

The Era of Margins

Before the Cloud became the default, digital infrastructure was physical. It consisted of server racks, networking cables, cooling systems, and hard drives stacked in cold rooms within company premises. In this “on-premise” era, the incentives for IT companies were straightforward: they were in the business of selling hardware.

Value was captured at the point of sale. A vendor sold a server to an enterprise buyer, cashed the check, and the transaction was effectively over until the next upgrade cycle. To make more money, these IT giants had to continuously convince buyers to purchase newer, faster, and more expensive equipment.

The enterprise buyers, however, were in a bind. They were purchasing massive amounts of hardware, yet they saw many of their IT projects fail amidst the complexities of implementation, integration, and change management. Buying new hardware was a high-risk gamble. Consequently, the only justification for buying upgraded equipment was if it promised a reward that was an order of magnitude higher - a revolutionary leap in productivity. This dynamic created a landscape of massive, complex, “moonshot” projects.

Eventually, Chief Information Officers (CIOs) began to push back. They were tired of bearing all the risk. They wanted the IT vendors to have “skin in the game.” They wanted a model where they only paid for what worked.

The Pivot to Transactional Volume

As the Cloud began to emerge in the mid-2000s, it offered a solution to this friction. It promised extensibility and flexibility. Suddenly, business models shifted from “buying the box” to “paying for usage.” We moved to demand-based pricing: per transaction, per gigabyte, per seat.

For the legacy IT giants, this was terrifying. They realized that this shift, combined with the pushback they were already receiving from CIOs, could be their death knell. The math was simple but brutal: Revenue = Volume × Cost Per Transaction.

In a hardware sales model, the “transaction” was a million-dollar server. In a Cloud model, the “transaction” was a fraction of a cent for a database query. In a commodity market, the cost per transaction inevitably races toward zero. To survive in a world where the unit price was plummeting, the volume of transactions had to increase not just linearly, but exponentially.

This realization became the DNA of the modern digital economy. The tech giants realized that to grow exponentially, they couldn’t just sell infrastructure; they had to ensure that the infrastructure was used constantly, incessantly, and universally.

The Economic Model of Addiction

Once the tech giants understood that volume was their lifeline, the strategy shifted. The goal was to secure exponential volume, lock in the infrastructure, and then with scale, control the costs.

Therefore, increasing the number of cloud transactions became the foundational imperative of the digital economy. It is the exact structural equivalent of lending in the physical economy. In the physical world, banks need lending volume to drive growth; in the digital world, platforms need data volume.

This is what platforms realized early on. They weren’t just building websites or server farms; they were building the steel mills and railroads of a new economic age. They realized that for the railroad to be profitable, trains had to be running 24/7. Consumers had to keep coming back to their platforms, and consumption had to be continuously unlocked.

This economic incentive explains the paradox of our modern digital lives. We all know, intellectually, that extreme screen time is damaging. We know that constant digitization fragments our attention. Yet, we have continued to accelerate digital consumption. Why? Because the underlying economic model for the infrastructure requires it to survive.

This is why we placed cameras everywhere and embedded smart chips in our refrigerators, our watches, and our doorbells. This is why “The Internet of Things” was pushed so aggressively. It wasn’t just for our convenience; it was to create billions of new endpoints, each generating a constant stream of micro-transactions to feed the Cloud.

The incentive for the Cloud service providers and the platforms built on top of them is simply too big to allow consumption to reduce.

The AI Accelerant and Fatigue In The Model

Today, Artificial Intelligence and Large Language Models (LLMs) are acting as the ultimate transaction generators. An LLM query is a compute-heavy, complex transaction and it is creating a massive spike in the volume required to sustain the infrastructure.

But we are also hitting a wall.

Fatigue is setting in. Despite the lock-in mechanisms, the gamification, and the forced engagement, consumers are increasingly weary and physically and mentally exhausted by the demands of the screen.

This is most visible in the younger generations, who are hit hardest by the design of these systems. We are witnessing a generation whose developmental years are being shaped not by organic exploration, but by algorithmic curation. The result is a deep-seated dependency, driven by systems engineered to maximize engagement regardless of the psychological toll.

We have never thought of digital consumption in macroeconomic terms, but we must start. In the physical economy, when lending dries up, we face a financial crisis.

We must now ask: What happens if consumption growth starts to decelerate or taper out in the digital economy?

If people collectively reduce digital content consumption, reframe their relationship with the digital devices, and reintroduce analog for balance - will there be a financial crisis in the digital economy?

If the valuation of the world’s largest companies is predicated on the exponential growth of human attention, and that attention has finally tapered out, could we see impacts beyond just psychological and into the financial and macro economic realm?

There have been periods in history where the world has not had such a script, and those periods have been defined by volatility and economic challenges that made the systems of those periods unsustainable. Today, we risk failing back into one of those eras.

Since 1944, that script was the Bretton-Woods agreement. It created a system that incentivized global economic growth and co-operation driven by two fundamental foundations:

1. Global trade would be settled in USD

2. US would run current account deficits to finance the global liquidity

Global financial and capital markets, supply chains, trade relationships, asset classes and their pricing, immigration and population movements and international decisions and geopolitics of the last 100 years came to be built on top of this script or system.

To visualize this system - think of a giant jenga structure, with the breadth of the foundation being defined by the amount of global trade being settled in USD, and the height being defined by the liquidity of USD in the system. The higher the breadth, the more incentive for everybody to participate and the more stability the structure offered. The higher the height, the more global economic growth and pricing of assets.

With the US getting off the gold standard in the 1970s the height for the last 50 years has been controlled by the monetary policy, and the low interest rate environment since 1985 has unleashed global liquidity of unmatched precedence creating asset price inflation that is way higher than metrics like CPI.

However, today this system is actively being dismantled. The US has taken an inward approach and does not want to run current account deficits anymore to finance global liquidity. Additionally, recent geopolitical frictions have also created an incentive for countries to diversify away from USD as the dominant store of value and trade settlement, to preserve their power in case of a conflict.

Therefore, both the foundations of the script that has created order and co-operation on the global stage are now unstable. This creates a historically unprecedented vacuum that no current business or political leader has navigated in their lifetime. Any decision they take in shaping this new order and script will define their legacy and what they will be remembered for. Therefore, it creates an incentive for them to please the interests and more importantly ‘emotions’ of their voting population first.

From here, three possible scenarios can unfold:

1. Alternative global co-operation mechanism emerges: This will mean US ceding its role as the dominant global power (highly unlikely), as it is closely tied to its status as the global trade enabler. Another factor that makes this scenario highly unlikely is that it will mean global actors agreeing to a new lead actor in the script - a consensus scenario that is highly unlikely to emerge in the absence of a major catastrophe or global event that has rendered negotiating power of most of the countries useless.
   

2. Regional co-operation mechanism emerges: this is possible but will be tricky to sustain as regional co-operation would require some sort of a common standard of currency. Central banks have been gathering gold across the world, and a gold backed digital currency accepted by major regional allies could enable this mechanism. We could also see 2 or 3 such currencies globally and there will need to be a mechanism to enable inter-regional trade. This was the system between the 1870s and 1910s - where gold became the common standard but this led the countries to often sacrifice monetary policy control and employment or capital flows to preserve their currency exchange rates. Given the nationalistic fervour globally and the social whiplash politicians govt face with bad decisions in the age of social media, they will be highly unlikely to take any action that leads them to surrender control over monetary policy.
   

3. Sovereign self-dependent mechanism (Autarky) emerges: This scenario is where there is no defined script or system in place on the global stage to govern global trade and economic co-operation. The world had similar mechanisms during the 1914-1944 period and were marked by protectionism, economic instability and each country promoting their exports. In this scenario, each country turns inward and tries to be self-reliant with bilateral win-win and topic specific relationships taking precedence over defined broad regional allyship.

Our thesis is that given current signals in economics, technology, geopolitics and society, there is a high probability of a sovereign self-dependent scenario playing out. This creates risks, and opportunities that have not been seen in decades and have wide implications for all types of changemakers - including policy makers, business leaders, investors, entrepreneurs and think tanks.

To put this into perspective - let’s revisit our two analogies. This scenario would mean each actor on the world stage is now acting out on its own and trying to improvise a sequence of actions with different actors at different times opportunistically while staying neutral. In terms of the economic Jenga, this would mean that instead of each country now placing their pieces of Jenga onto the same giant structure, they keep it on different structures thus lowering the height or liquidity in each system and triggering a repricing, which will have a huge wealth effect.

Ultimately, no act runs forever, and this is perhaps what we are seeing now!

We’ll dig into why we believe this is the case and the deeper layers in the next artifacts.

How We Got Here

Current situation can be traced back to three major forces that gained momentum post 1970s:

Globalization and Marketplace Monopolization One primary driver has been globalization and emergence of online marketplaces as the settlers of demand-supply relationships. While these forces have spurred economic growth, they have also created a winner-take-all economy where platform and capital owners in globalized industries disproportionately benefit. The incentive in a winner-take-all economy is to monopolize and the method utilized in most business models has been that of discounting and killing competition.

The decline of manufacturing jobs, coupled with the rise of platforms and marketplaces has pushed a large chunk of the population, especially in emerging economies, into the gig economy. Automation has further exacerbated the economic insecurity of large segments of the population.

Loose Monetary and Tax Policies
Loose monetary policies especially after 1985, characterized by low interest rates and quantitative easing, have allowed existing capital or asset owners (financial, tech, real estate) to disproportionately benefit and inflate asset prices, while wage earners and those with no existing assets have seen their purchasing power diminish.

Tax policies have also played a significant role. Across many developed nations, there has been a trend towards lower marginal tax rates on high incomes and capital gains. These policies, often justified by arguments for stimulating investment and economic growth, have inadvertently allowed wealth to accumulate at the top without sufficient redistribution mechanisms.

Finnicization of Life’s Basics There were no student loans until the 1960s. Until 1970, there was no concept of a house mortgage. Until as recently as 2020 - there was no concept of buy now pay later for every single purchase you make from any ecommerce site.

The financialization of life’s basic necessities in education, health and shelter has impacted the Gen X and Millennials. Financialization of day-to-day products will hit the millennials the hardest.

Erosion of Collective Bargaining Lastly, the erosion of labor union power and stagnant minimum wages have limited the ability of the working class to capture a larger share of economic gains, leading to a widening wealth gap and lower productivity.

How Bad Do The Millennials Have It

Heavily Indebted Early In Life: Imagine a mid generation millennial who is 40 years old today with a master’s degree, a family of 2 kids, and a house. At this age, they probably have or have paid off a portion of the following debt:

Undergraduate Degree: $29,000

Master’s Degree: $150,000

Starter House: $500K+

This is in stark contrast to previous generations who had greater access to debt-free education and lower debt to get to home-ownership. Millenials also face a more competitive job market, with unemployment rates reaching 10% during the Great Recession, and currently hovering at around 14% in 2025.

Less Wage Growth And Share of Capital Gains Millennials have also seen less wage growth in their prime years, driven primarily by economic downturns, and corporate profit hoarding. Below is a comparison of average real wage growth amongst boomers and millennials.

• Boomers’ Prime Work Years (1970s-1990s): Experienced average real wage growth of 2.1% annually.

• Millennials’ Prime Work Years (2000s-2020s): Have seen average real wage growth of 0.3% annually, significantly hampered by the Great Recession and stagnant wage policies.

Studies and observations indicate that roughly 35-40% of millennials participate in the gig economy in a full time or supplemental way. These jobs often also lack benefits that come with full time employment.

Less Wealth Accumulation
This higher cost of becoming an employable, family person with a stable job and house coupled with lower returns on that investment is impacting the wealth that Millennials have, and in turn how safe and motivated they feel about their future

To put this in perspective, if you compare the access to wealth at the same age range of 45-60 across generations.

• Boomers had 50% of the wealth share

• Gen X has 25% of the wealth share

• Millennials will have less than 20% of share

What Will It Impact

Consumption Drag The economic consequences of extreme wealth inequality are far-reaching. A highly unequal distribution of wealth can lead to reduced aggregate demand, as a smaller portion of the population controls a disproportionate share of purchasing power. This can stifle economic growth and make economies more susceptible to financial crises.

Consumer Choice & Competition Elimination Furthermore, wealth concentration can lead to the formation of monopolies and oligopolies, where a few dominant firms stifle competition and innovation, ultimately harming consumers and smaller businesses. Investment patterns can also be skewed, with capital flowing into speculative ventures or luxury goods rather than productive investments that benefit the broader economy.

Social Distrust Beyond economic effects, wealth inequality has profound social consequences. It can erode social cohesion and trust, fostering resentment and division between different segments of society.

Mass Social Gentrification Access to essential services such as education, healthcare, and housing often becomes stratified, with the wealthy enjoying superior opportunities and outcomes. This creates a cycle of disadvantage, where those born into less privileged circumstances face significant barriers to upward mobility, perpetuating inequality across generations. Moreover, high levels of inequality are often correlated with increased crime rates, poorer public health outcomes, and diminished overall societal well-being.

Reduced Democratic Participation Perhaps the most insidious aspect of extreme wealth inequality is its impact on democratic governance. The concentration of economic power often translates into concentrated political influence. Wealthy individuals and corporations can leverage their financial resources to influence elections, lobbying efforts, and policy-making processes, ensuring that policies favor their interests rather than the broader public good. This can lead to a phenomenon where the political system becomes unresponsive to the needs of the majority, undermining the principles of representative democracy.

This disproportionate influence can manifest in various ways: funding political campaigns, supporting think tanks that promote specific economic ideologies, and establishing powerful lobbying groups that advocate for policies beneficial to the wealthy. When the concerns of the elite consistently outweigh those of the common citizen, public trust in institutions erodes, paving the way for political apathy, cynicism, or even extremist movements that promise radical solutions. The tipping point in this regard is reached when the democratic process becomes so thoroughly compromised that it can no longer effectively address the underlying economic disparities, leading to a crisis of legitimacy.

What Will They Do & Potential Scenarios

Defining the precise moment of a “tipping point” for wealth inequality is challenging, as it is not a sudden event but rather a cumulative process. However, various indicators suggest that many societies are approaching or have already surpassed critical thresholds. These indicators include:

• Stagnant real wages for the majority coupled with soaring executive compensation and capital gains.

• Increasing social unrest and protests fueled by economic grievances.

• A widening gap in life expectancy and educational attainment based on socioeconomic status.

• Perceived corruption and a sense that the political system is rigged in favor of the wealthy.

• The rise of populist movements on both the left and right, often exploiting public anger over economic disparities.

If the tipping point is indeed reached and passed without effective intervention, several scenarios could unfold. One possibility is a gradual but significant decline in living standards for the majority, leading to widespread social stratification and a permanent underclass. This could result in a society where social mobility is severely limited, and opportunities are primarily determined by birthright rather than merit.

Another potential outcome is increased political instability and social unrest. As frustrations mount and avenues for democratic change appear blocked, there could be a rise in protests, strikes, and potentially even violent confrontations. Historically, extreme wealth disparities have often been precursors to revolutions or significant social upheavals.

A third, more dystopian scenario involves the establishment of an oligarchy or plutocracy, where a small elite effectively controls both economic and political power, further entrenching their position and making fundamental change extremely difficult to achieve through conventional means. This would represent a profound erosion of democratic values and principles.

Pathways to Addressing Wealth Inequality

While the challenges are significant, there are various policy interventions and societal shifts that could help mitigate wealth inequality and potentially avert or reverse the negative consequences of reaching a tipping point. These include:

Progressive Taxation: Implementing more progressive income tax rates, increasing taxes on capital gains and inherited wealth, and closing tax loopholes that benefit the wealthy can help redistribute wealth and fund public services.

Strengthening Labor Rights: Empowering labor unions, increasing minimum wages to a living wage, and ensuring fair labor practices can help workers secure a larger share of economic productivity.

Investing in Public Goods: Increased investment in quality public education, affordable healthcare, and accessible housing can create greater equality of opportunity and reduce the burden on lower-income households.

Antitrust Enforcement: Robust antitrust laws and enforcement can prevent the formation of monopolies and promote competition, ensuring a more equitable distribution of economic benefits.

Financial Regulation: Implementing stricter regulations on the financial sector can curb speculative excesses and reduce the risk of financial crises that disproportionately harm the less wealthy.

Addressing Global Tax Evasion: International cooperation to combat tax evasion and avoidance by corporations and wealthy individuals can help ensure that wealth is taxed fairly across borders.

Beyond policy, a cultural shift towards valuing collective well-being over excessive individual accumulation, promoting corporate social responsibility, and fostering a greater sense of shared prosperity are also essential. Education and public awareness about the causes and consequences of wealth inequality are crucial for building the political will necessary for meaningful change.

Conclusion

The growing concentration of wealth in the hands of a few presents a profound challenge to modern societies. While wealth inequality has always existed, its current trajectory suggests that many nations are nearing or have already crossed a critical tipping point, with potentially dire consequences for economic stability, social cohesion, and democratic governance. The historical record demonstrates that unchecked inequality can lead to social unrest and systemic breakdown. However, by understanding the multifaceted causes and consequences of this disparity, and by implementing a comprehensive set of policy interventions and fostering a more equitable societal ethos, it is possible to mitigate the risks and work towards a more just and sustainable future. The choices made today regarding wealth distribution will determine whether societies descend further into entrenched inequality or move towards a more inclusive and prosperous future for all.

Historically, periods of significant wealth inequality have led to major social and economic upheavals. From the Gilded Age in the United States to the late Roman Empire, excessive concentration of wealth has been linked to political instability, populist movements, and ultimately, a decline in societal well-being.

Summer of 2025 to winter of 2026 will be a testing time for the Canadian economy given the confluence of multiple headwinds.

Mortgage renewal cliff:

• $1.56 Trillion worth of mortgages renewing with accumulated unpaid interest of >~300B

• $1.1T of these are uninsured and taken out at peak of valuations in 2020 and 2021

• Ideally, they have to pay back the unpaid interest or increase the mortgage payments on renewal which if it happens will cause a huge consumption shock by diverting expenses towards these repayments

Increasing Arrears and Consumption Shift Towards Shelter Costs:

• Arrears on leading indicators like Auto Loans, and Credit Cards increasing and back to 2019 levels indicating drying up of COVID savings

• In Q4, 2023 Mortgage delinquency rate was up 135.2% and 62.2% in Ontario and B.C although it was from a low base

• Household Operations and Furnishings are now disinflationary (- 2.1%) and recreation inflation is at 1% indicating that is where demand has fallen significantly pushing prices down or to stagnate. This shows the shift in consumption and that households are cutting the non essential expenses to keep up with shelter costs (+6%) and food costs (+2.3%)

• Business insolvencies increased by 129.3% in Jan 2024 compared to Jan 2023, with higher increases in food, retail and construction (not a coincidence)

Foreign Capital, Immigration Reduction, and Investor Sentiment:

• Between 2016-2022 Canada had $225B in capital outflows in last 6 years; 3X that between 2010-2015

• Capital inflows kept the deficit manageable but many of it was in real estate. At its peak, 40% of the buyers were investors - many from outside Canada. This investment and capital flow faces headwinds given the macro factors in China, Pacific.

• Given the higher neutral rate - the depth and speed of cuts will be shallow thus leaving the pressure elevated; Longer durations of lower returns for investors, and higher pressure for occupant owners will turn the sentiment and push inventory in the market

• Credit unions and non bank lenders have high % of their assets exposed to real estate. Take a large west Canada credit union for example; out of $28B in assets, $24B is tied in real estate and construction loans

Two changes recently made can support the digestion (albeit one that is borderline unethical and illegal)

• 30 year mortgages are now legal for insured mortgages

• Under the Canadian mortgage charter, banks are now required to support “longer amortization for as long as necessary” effectively making indefinite mortgages legal.

Despite these measures - the strain is too high on the financial system and real estate market and while it might hold up for a little longer, it will come at the expense of reduced consumption elsewhere eventually creating a drag.

There is still a structural shortage which will support the housing market but the consumption shift accompanied by headwind of payment shock, reduced foreign capital inflow, reduced credit capacity can stagnate the economic engine if not cause it to crash eventually impacting asset prices too.

Marc Weiser (from Xerox) started his 1991 article in Scientific American by saying “The most profound technologies are those that disappear”. The premise of his argument was that technology will integrate into our lives in a ubiquitous and invisible way where it diffuses into the background and enables the outcomes that the user is focused on.

The promise, and the vision, was of a frictionless intuitive and helpful environment that anticipates our needs without demanding active attention.

Weak Signal: Tech fatigue and irritation

However, commercialization tied with technology has led us sideways on this promise and an emerging weak signal is of the cognitive, emotional and psychological burden caused by technology in our lives. Technology is pervasive in our lives but instead of being silent and integrated is rather noisy, intrusive and fragmented.

This is resulting in a persistent low grade irritation, anxiety and exhaustion from managing, troubleshooting and preventing exploitation from a network of tech devices and software that people have come to use.

It has come to resemble the feeling of an engine where parts are failing.

Supporting Data Points and Research

The interoperability tax

The biggest factor in this friction is perhaps the interoperability tax, or the work required by users to stitch together apps, devices and software from different ecosystems to work with each other. According to a report from Productiv, company wide organizations are using an average of 200 apps, with 56% being managed by lines of business rather than IT.

This primarily stems from data and ecosystem lock-ins, as well as the task oriented nature of SaaS products built over the last decade. As technology has proliferated, this narrow vision and extractive design is bleeding into a frustrating web of apps & services that are not talking to each other.

The user is forced to become the “IT admin” for their own home or personal setup, paying a “tax” in time and patience that directly contradicts the promise of convenience.

Message and Notification Overload

The sheer volume of low-value notifications from an array of devices (e.g., the fridge needs a new filter, the printer is low on ink, a smart speaker has a “new suggestion”) are rather a constant state of micro-interruptions. Researchers at Duke University found that the median user receives 65-85 notifications per day on their smartphone alone. Research from Gloria Mark at the University of California, Irvine, found that it takes an average of 23 minutes and 15 seconds to return to a state of deep focus after being interrupted.

Notifications were a powerful engagement and retention tool for apps back in the day, but they seem to be losing relevance amidst the overload.

Rise of dumb products

Niche consumers are consciously choosing dumb products, signaling a desire to have ‘less features’. While their market share is way less than the larger players, companies like Light phone, Minimalist, Punkt are seeing significant attention and coverage.

Google searches for “dumb phones” increased by 89% between 2018 and 2021. European countries seem to be leading the resurgence of interest in feature/dumb phones.

On reddit, the popular subreddit r/dumbphone has seen 3X growth in 2024-2025, reaching 149,000 members from ~50,000 in early 2024.

The Macro Shift:

The bigger underlying macro shift that seems to be underway is that of a move away from features and UX to minimal friction and cognitive experience. We can call it the “Silent UX”.

Silent UX optimizes for cognitive overload, minimizing it for the user and having the outcome as the north star.

Think of a software for SMB owners, instead of multiple modules and 100s of features with each task that the owner needs to do requiring 6-8 screens and multiple clicks - now there is a voice interactive singular screen that can be the canvas with AI in the backend playing a fluid role.

Implication for Business/Products

The Shift in Value Proposition: Competitive advantage may no longer be “more features.” It may be “less friction,” “more respect,” or “gives you back your focus.”

The Risk: Companies that continue to create “noisy” products risk being perceived as contributing to customer burnout, leading to brand damage and churn.

Thoughtful Response:

For product and business leaders, this means a few factors for consideration.

Principle 1: Design for Dismissibility. Create products where it is effortless for the user to dismiss the technology into the background while it works on enabling outcome. Make silence and focus the default, not a feature you have to dig for.

Principle 2: Champion “Cognitive Experience” (CX). Move beyond User Experience (UX). The new design frontier is understanding and reducing the cognitive load a product places on its user. This requires new skills and roles—blending psychology with engineering.

Principle 3: Market Trust, Not Tech. Shift marketing language from power and features to reliability, respect for privacy, and the promise of peace of mind for differentiation. A thoughtful brand helps customers reclaim their attention.