When the market loses its breath: what remains after the clash between giants and startups

The Hook: The Day After Disruption

Imagine it’s 2032.

Banks have closed half their branches; fintechs, after several rounds of layoffs, no longer promise to “change the world,” only to survive. Physical retail has become an expensive showroom; e‑commerce is a jungle of fees and subscriptions that cancel each other out. Hospitals have apps, but waiting rooms are still full. Cities are covered with “smart” vehicles managed by platforms; traffic is the same, except now you can follow it in real time while you lose your patience. Universities offer MOOCs and virtual campuses, but students drop out halfway through as easily as they switch TV series.

The promise was written everywhere: technology would bring efficiency, user experience would bring loyalty, new business models would bring sustainability. Yet something quietly broke: saturated customers, squeezed margins, exhausted teams, partnerships that don’t cure the anxiety of a market that breathes in spasms.

In this scene of tense calm, here’s an unusual proposal for market analysis: sit in silence, as one would in a zendo, and observe. Not to celebrate incumbents or startups, but to examine the shared failure as a starting point.

Only from there can we ask a deeper question: what is the system missing to breathe steadily?

I’ll call that missing piece the “Universal Breath”: the invisible coherence that should connect business models, technology, and user experience with people’s real lives. It’s not a mystical framework; it’s a discipline of seeing what normally goes unnoticed.

The Genesis of Imbalance: How We Got Here

Before looking sector by sector, we need to understand where the misalignment began.

For years, a simple story was told:

• Incumbents: slow, heavy, full of tech legacy, but with brand, customers, and regulation on their side.
• Startups: agile, cloud‑native, product‑oriented, unencumbered, backed by venture capital and a culture of experimentation.

Recent developments don’t contradict this, but they make it more nuanced:

• In financial services, 2023 marked a strong consolidation of digital universal banking, where banks and fintechs intertwine: the former adopt cloud and digital channels; the latter accept regulation and mature their governance. A global Capgemini report highlights cloud adoption as a competitive advantage in volatile environments, while bank‑fintech collaboration is already seen as a “long‑term relationship.” In Mexico, the fintech ecosystem reached 773 players in 2023, up 18.9% from the previous year, a sign of maturity rather than passing euphoria.
• In retail, health, mobility, and education, the expansion of digital solutions followed a similar pattern: cloud‑native platforms, AI for personalization, subscription and marketplace models, process automation.

In parallel, management theory was telling us:

• Startups embrace “fail fast, fail often,” take on higher risk, are financed by venture capital, and aim for rapid growth.
• Established firms minimize risk, prioritize stability, are financed by cash flow or debt, and protect proven models.

Both narratives are true and yet incomplete.

What almost no one said out loud is that both poles began copying each other’s defects:

• Incumbents imported startup‑style growth urgency, launching digital initiatives disconnected from their customer base.
• Startups adopted big‑player obsessions with scale and data capture, often forgetting their supposed defense of the human experience.

In that rushed cross‑pollination, the breathless market was born: products that change quickly but barely improve daily life; advanced tech architectures with internal processes just as rigid as before; polished UX layered over business models that exhaust customer trust.

The Invisible Conflict: Two Lungs, One Body

On the surface, incumbents and startups compete. In practice, as in a human body, they act like two lungs sharing the same blood:

• One (the traditional industry) contributes volume, reach, regulatory stability, and capacity to absorb systemic risk.
• The other (the startup ecosystem) brings variation, experimentation, new patterns of data use, and user‑centered design.

The invisible conflict is that they breathe at different rhythms in the same chest:

• The planning cycle of a bank or a hospital is usually measured in years.
• The lifecycle of a fintech or healthtech feature can be measured in weeks.

When these rhythms are forced on each other without conscious design, symptoms appear:

• Failed tech integrations.
• Partnerships that never get beyond pilot stage.
• User experiences that promise simplicity but end up fragmented across brands, apps, and channels.

In monastic language: the market’s body breathes with out‑of‑sync systole and diastole. Let’s see how this manifests in each sector.

Financial Services: The Tired Promise of Frictionless Money

a) Business Models: Between the Rock of the Balance Sheet and the Cloud of Fees

Traditional financial institutions still rest on:

• Intermediation margins (loan interest vs. deposits).
• Product fees (cards, transfers, insurance, investment).
• Charges for value‑added services (advisory, custody, etc.).

These are vertically integrated models, capital‑intensive and reliant on physical or regulatory assets (licenses, ATM networks, payment infrastructure). Their scale lets them absorb shocks but anchors them to rigid cost structures.

Fintechs appear in the gaps:

• Accounts and payments with no visible fees, monetized through:
  • Card interchange.
  • Merchant transaction fees.
  • Embedded credit products (BNPL, consumer credit lines).
• B2B2C and Banking‑as‑a‑Service models, where a fintech enables other companies to offer financial services under its own or a bank’s license.
• Subscriptions (personal finance, investment tools) and financial‑product marketplaces.

The conflict of “breath” is clear: fintechs need rapid volume so fees can pay for the party; banks need prudence so risk doesn’t wreck the balance sheet. Without a shared tempo, alliances become strained.

b) Technology: Mainframes Whispering to Microservices

Traditional banks support their technological heart with mainframes, ERPs, and monolithic core banking systems. They are robust but hard to change. Fintechs, meanwhile, are born cloud‑native, with:

• Microservices, open APIs, event‑driven architectures.
• Heavy data use (data lakes, advanced analytics, flexible risk models).
• Short release cycles, CI/CD, and continuous experimentation.

Capgemini notes that cloud adoption is becoming essential for competitiveness in financial services: not just for cost efficiency, but as a foundation to scale innovation.

Banks, under pressure, move toward digital universal banking: API layers and digital channels built on top of old cores. The result, if they don’t breathe deeply and slowly, is double complexity: a system that looks agile on the surface but still drags the gravity of legacy below.

c) User Experience: Onboarding as Frustrated Meditation

In traditional banking, onboarding a client can still mean:

• Travelling to a branch.
• Filling out paper or poorly designed web forms.
• Waiting days for approval.

Fintechs turn the same journey into a short screen sequence:

1. Download app.
2. Identity check (ID + selfie, automatic verifications).
3. Operational account in minutes.

Users learn that friction is not inevitable. That new standard forces banks to respond with cleaner apps, better digital journeys, and omnichannel strategies. Hence internal digital units, bank‑backed fintechs (such as the Ebury case, promoted by a traditional bank ahead of an IPO), and acquisitions like Embat buying Necto.

But if the bank’s business model still relies on multiple opaque fees, or if the back office remains slow, the experience becomes new skin over old bones.

Retail and E‑Commerce: A Full Cart and an Empty Heart

a) Business Models: Margins, Subscriptions, and Voracious Marketplaces

Traditional retailers live off:

• Direct B2C sales in physical stores.
• Margins over product cost.
• Sometimes, complementary services (point‑of‑sale financing, extended warranties).

Highly dependent on inventory and physical locations, their scalability is tied to square meters.

E‑commerce startups breathe differently:

• Marketplaces connecting many sellers to consumers; monetized through commissions and add‑on services.
• Subscription models (free‑shipping memberships, recurring boxes, premium content).
• Asset‑light models with outsourced logistics or collaborative fleets.

The invisible conflict is that the obsessive quest for scale has eroded margins, pushing both sides to tack on more fees, cross‑selling, and advertising in their interfaces. The cart fills up, but trust empties out.

b) Technology: Rigid Inventories vs. Hungry Algorithms

Traditional retail:

• Heavy ERPs, inflexible inventory management systems.
• Limited integration across channels (store, web, call center).

E‑commerce startups:

• Cloud‑first platforms, API‑integrated with logistics providers, payment gateways, and marketing tools.
• AI for product recommendation, demand forecasting, dynamic pricing.

Both have advanced, but many retailers risk stacking technologies without redesigning processes. It’s like installing state‑of‑the‑art sensors in a warehouse whose layout is still from the 1990s.

c) User Experience: Omnichannel or Just Multichannel Noise

A simple purchase might look like this:

• In traditional retail: visit store, ask a salesperson, pay at checkout, resolve issues on another channel.
• In a well‑orchestrated e‑commerce startup: search, compare, buy in minutes, with real‑time tracking and easy returns.

When startups set that standard, incumbents respond with:

• Click & collect.
• Loyalty apps.
• Omnichannel programs.

But without consciously designed journeys, users simply get more notifications, emails, banners, and chatbots competing for their attention. Omnichannel without “universal breath” devolves into noisy multichannel.

Health and Healthtech: Precise Data, Disordered Souls

a) Business Models: From Physical Beds to Continuous Service

Traditional healthcare has historically been financed by:

• Public or private insurance payments.
• Out‑of‑pocket payments.

This model is centered on the in‑person clinical act and physical infrastructure (hospitals, clinics, equipment).

Healthtechs emerge with offerings such as:

• Subscriptions to telemedicine services.
• Apps for health tracking, wellbeing, and treatment adherence.
• B2B platforms for hospitals (patient management, AI‑assisted diagnosis).

Clashes arise when reimbursement schemes and regulation don’t properly recognize these digital services. The result is an ecosystem where innovation exists but value capture is fragile.

b) Technology: Health Records as Labyrinths

Traditional healthcare organizations:

• Fragmented electronic health record (EHR) systems, hard to integrate across centers.
• On‑premise infrastructure with strict cybersecurity constraints.

Healthtech startups:

• Cloud platforms with data lakes and advanced analytics.
• Telemedicine, remote monitoring, decision‑support algorithms.

But health data is extremely sensitive, and regulation is, rightly, strict. The risk is a dual reality:

• An “official” universe: slow, safe, rigid.
• An “innovative” universe: fast but sometimes weak in integration and governance.

If these worlds don’t share the same ethical and technical pulse, patients suffer: repeated tests, re‑created records, navigating incompatible portals.

c) User Experience: The Waiting Room Inside the Phone

In the traditional system, booking an appointment can mean:

• Calling by phone, being on hold, accepting limited time slots.
• Arriving on site, queuing, filling out paperwork.

A healthtech can transform this into:

1. Choose a specialty in an app.
2. Pick a time slot in seconds.
3. Receive reminders, track results, access teleconsultation.

Many hospitals have tried to replicate this smoothness via patient portals and their own apps. Still, too often the experience is:

• An unintuitive interface.
• Internal processes still demanding in‑person visits for many procedures.

Digital health without organizational redesign is a mantra recited without breathing.

Mobility and Logistics: Hyper‑Digital Cities, Equally Scarce Time

a) Business Models: Long Contracts vs. Short Trips

Traditional logistics:

• Revenue from B2B transportation and distribution contracts.
• Rates based on volume, distance, time.

Mobility/logistics startups:

• Shared‑mobility platforms (per‑trip fees, frequent‑use subscriptions).
• Marketplaces matching cargo and carriers under asset‑light schemes.

Startups leverage data and partner networks instead of big fleets, adapting faster to demand spikes. But many eventually discover the weight of operating costs and regulatory tension.

b) Technology: From Paper to Real‑Time Data

Traditional companies:

• Legacy fleet‑management systems, often disconnected.
• Low real‑time visibility for end customers.

Startups:

• Apps with geolocation, IoT‑equipped vehicles, algorithmic route optimization.
• API‑based integration with multiple players (warehouses, end customers, B2B platforms).

This digital layer has raised the information bar: it’s now normal to know where a package is at every moment. But it has also created expectations of immediacy that the physical system can’t always fulfill.

c) User Experience: Transparency That Doesn’t Always Consoles

Previously, customers accepted opacity:

“Delivery between Tuesday and Thursday.”

Now, users obsessively check maps and real‑time notifications. When a promise is broken, frustration is sharper, not milder.

The missing universal breath here is honest expectation management: designing journeys where transparency is not just more information but a realistic agreement about uncertainty, delays, and alternatives.

Education and Edtech: Instant Knowledge, Missing Understanding

a) Business Models: Solid Tuition vs. Liquid Freemium

Traditional education:

• Income from tuition, sometimes supplemented by donations or subsidies.
• B2C and B2B models (corporate training, graduate programs, etc.).

Edtech startups:

• Monthly subscriptions to learning platforms.
• Freemium models: basic content free, with paid certificates or advanced features.
• Marketplaces connecting independent instructors with students.

The explicit goal of many edtechs is to scale access; the implicit goal is to scale learning behavior data. But the real bottleneck is completion and real impact, not enrollment.

b) Technology: Rigid LMS vs. Adaptive Experiences

Traditional institutions:

• LMS platforms focused on administration, not experience.
• Courses structured by semesters and fixed calendars.

Edtech startups:

• Cloud platforms with adaptive learning and AI‑driven personalization.
• Gamification, micro‑content, analytics to measure engagement.

Technology enables micro‑adjustment of every step; what’s often missing is integration with the student’s life goals: work, family context, personal pace.

c) User Experience: Abundant Content, Little Meaning

In‑person enrollment entails schedules, classrooms, physical community. It has friction, but also rituals.

Edtech offers:

• Instant access from anywhere.
• Flexible pacing, many formats.

But without support and structure, many students get lost: high dropout rates, few completing the journey.

Here, the universal breath would be a design that combines technological flexibility with community, mentors, and a sense‑making framework, not just a pleasant interface.

Table 1 – Schematic Timeline of “Digital Exhaustion”

Evidence and Insights: What the Market Whispers

If we read recent data with cloister‑like calm, a clear pattern emerges:

• In fintech, the 18.9% growth in Mexico in 2023 and the proliferation of digital universal banking initiatives show that the game is no longer “them or us,” but “together or irrelevant.”
• Reports such as Capgemini’s stress that cloud is not just a tool but a structural condition for competition. Yet migrating to the cloud without changing mindset, processes, and commercial models is like breathing pure air with collapsed lungs.
• European regulation via PSD3 and the Digital Markets Act seeks a delicate balance between innovation and user protection, reducing power asymmetries between large platforms and new entrants.

At the same time, classic theory on startups vs. established firms reminds us:

• Startups accept high risk in exchange for rapid growth potential.
• Incumbents prefer controlled growth, funded from their own earnings.

What becomes clear is that neither extreme can sustain itself alone in critical sectors such as banking, health, or education:

• Speed without stability breeds crises of trust.
• Stability without adaptation breeds irrelevance.

What’s missing is an articulating principle, a Universal Breath that lets business models, technology, and UX breathe at the same pace as people’s lives and cities.

Table 2 – Scorecard: Who Wins, Who Loses, and What They Sacrifice

The Strategic Turn: Breathing from the Center

So far we’ve described the shared failure and its sector‑specific symptoms. The practical question remains: what now?

From a monastic stance, this is less about “roadmaps” and “OKRs,” and more about strategic breathing disciplines: practices that can restore a coherent vital rhythm to the market.

1. Redesign the Business Model Around the User’s Time, Not the Balance Sheet

Across sectors, incumbents and startups alike have structured offerings around:

• Internal metrics (ROI, CAC, LTV, asset utilization).
• Technological constraints (what the core can do).

Universal Breath demands a different basic unit: the user’s time and trust.

Concrete questions:

• How many decisions, forms, clicks, and waits does my service require to solve a basic problem (pay, buy, book an appointment, move, learn)?
• How much recurring attention do I demand (subscriptions, notifications, renewals), and what real value do I return in each sector?

Possible actions:

• In banking/fintech: simplify product portfolios, reduce opaque fees, unify customer identities across channels.
• In retail/e‑commerce: curb subscription sprawl, design clear and human return and warranty policies.
• In health: integrate systems to avoid duplicate procedures and tests.
• In mobility: design pricing plans that reflect real journey patterns, not just revenue‑management optimizations.
• In education: measure success via learning and employability, not just hours online.

2. Tech Architecture in Service of Organizational Breathing

The legacy vs. cloud‑native divide is real but incomplete. What matters is whether the architecture:

• Supports change cycles aligned with user and regulatory needs.
• Enables secure data sharing among actors who must cooperate.

Recommended actions:

• For incumbents:

  • Don’t copy startup speed everywhere; choose a small set of critical flows (onboarding, complaints, payments, appointments, enrollment) and orchestrate them with clean API layers, governed data lakes, and automation.
  • Treat the legacy core as a sacred mountain: you don’t blow it up overnight; you build gradual paths around it.

• For startups:

  • Design from day one with incumbent integration in mind: well‑documented APIs, security standards, traceability.
  • Avoid “karmic debt” in data: don’t hoard information without a clear framework for use, ethics, and deletion.

3. UX as Contemplative Practice: Less Stimulus, More Clarity

UX is not just color, microcopy, and animations. It’s a way of protecting the user’s attention.

Action lines:

• Systematically remove elements that don’t contribute to the core task in each key journey.
• Design waiting and error states that inform honestly, without blaming users or sugarcoating systemic failures.
• Continuously include qualitative research: interviews, observation, usage diaries. Listen not just to what people do, but how they feel doing it.

In breathing terms: every screen, every notification should feel like a necessary inhale or exhale, not a gasp.

4. Collaboration with Clear Boundaries: Alliances as Co‑Breathing Practice

Existing collaboration forms—corporate VC, acquisitions, white‑label models, Banking‑as‑a‑Service, open APIs—will keep growing. They don’t just need more volume but better boundary design.

Useful practices:

• Agreements that state explicitly who owns which data, for what purposes, and for how long.
• Clear exit paths for collaborations: what happens to users, data, and processes if the partnership ends.
• Joint customer‑service mechanisms to avoid the usual “that’s the bank’s issue / that’s the fintech’s issue.”

Healthy cooperation is neither full fusion nor cold war; it’s shared breathing with differentiated organs.

Cross‑Sector Matrix: A Comparative View

The Broader View: Universal Breath as a Sustainability Criterion

Back to our initial scene—2032, a supposedly digital but oddly exhausted market—the question shifts:

It’s not about who wins, but which patterns endure.

The most sustainable models, in light of all this, share three traits:

1. They honor the user’s time. They don’t chase infinite attention; they solve concrete problems with minimal friction.
2. They use technology as a lung, not a mask. Cloud, data, and AI are used to synchronize rhythms among actors (banks and fintechs, hospitals and healthtechs, universities and edtech), not to hide rigidities under shiny layers.
3. They accept interdependence. They don’t deny that incumbents and startups are intertwined: regulations, data, and physical and digital chains form one body.

Implications for Incumbents

• Consciously choose where to be giants and where to be part of an ecosystem, accepting infrastructure roles for startups in certain segments.
• Invest as much in cultural change as in technology: teach organizations to breathe in shorter cycles without panicking.
• Use regulatory and brand clout to raise the ethical bar for data use and UX.

Implications for Startups

• Design from day one to survive without continuous venture funding, with business models sustainable on real margins.
• Treat regulation not just as an obstacle but as a framework for long‑term trust in critical sectors.
• Understand that UX innovation is not more stimulus, but more clarity, less noise.

The Final Exhalation: A Calm Provocation

Imagine the market as a single meditating body.

Banks are the circulatory system: they move resources.
Retail and logistics are the limbs: they touch the physical world.
Health is the immune system; education is the nervous system.
Startups are the peripheral nerves, testing new connections.

If each part breathes only for itself, the body gets sick. If each actor chases its own isolated scale, the market becomes a giant with labored breathing.

The key question for the coming years is not who will win the digital game, but who will be able to hear the entire system’s breathing and design accordingly.

We’ve called that ability Universal Breath. It’s not decorative metaphor; it’s a practical criterion for judging models, technologies, and experiences.

Every time you launch a new product, a new app, a new partnership, you can ask:

Does this lighten or burden the breathing of users, my teams, and my partners?

If it lightens it, you’re probably closer to a healthy market than to a brilliant PowerPoint.

And maybe, just maybe, the story of 2032 won’t be one of failed disruption, but of the moment when giants and startups finally learned to share the same air.

References

1. Deloitte – Digital Universal Banking: Moving Towards a Better Customer Experience (2023).
2. Capgemini – World Cloud Report 2023 – Financial Services.
3. Cinco Días (El País) – Fintechs and the Banking Sector: A Long‑Term Relationship (2023).
4. Milenio – Data on the fintech ecosystem in Mexico (2023): 773 fintechs, 18.9% year‑on‑year growth.
5. Innovacionindustrial.net – Innovation Management: Startups vs. Established Companies, Key Differences.
6. Contagram.com – Differences Between a Company and a Startup.
7. Wikipedia – Bait‑and‑Hook Business Model.