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When the market breathes: silent sacrifices between giants and startups

When the market breathes: silent sacrifices between giants and startups

We begin in the midst of a shared crisis: traditional industries and startups are competing for the same customer, but what’s really being negotiated is not market share, but what we’re willing to sacrifice—in business models, technology, and user experience—so that the entire system can keep breathing.

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The Hook: The Day the Customer Ran Out of Time

The call comes in at 9:02 a.m.

A woman in Madrid is trying to do three things at once: open a bank account, book a medical appointment, and buy a birthday present for her daughter who lives in Mexico City. She has a work video call at 9:30.

She opens the app of a European neobank, scans her ID, blinks in front of the camera. Account approved in eight minutes.

She tries to book the medical appointment at her usual hospital. Busy phone line, three‑page web form, confirmation “within the next 48 hours.”

In parallel, she logs into a Latin American e‑commerce platform. Two clicks, stored payment method, express shipping with real‑time tracking.

At 9:29, the bank account and the gift are sorted. The medical appointment is still in limbo. She sighs. She thinks: “Why can some do it, and others can’t?”

From the outside, it looks like an obvious victory of startups over traditional industry. But seen from the silence, there’s another story: every rapid advance has demanded a sacrifice. Fewer branches, more of your data. Less paperwork, more dependence on screens. Less waiting time, more invisible pressure on those who build and maintain these systems.

The market, like a vast chest, breathes. Every inhalation of efficiency implies an exhalation of something deeper: stability, jobs, mature regulations, human time.

This is a chronicle of those exhalations.


The Genesis of Two Different Ways of Breathing

In every industry, giants and startups have learned to breathe in almost opposite ways.

Giants inhale slowly: capital, buildings, regulation, brands built over decades. Their air is full of contracts, processes, and hierarchies. Their pace protects, but suffocates.

Startups breathe fast: code, weekly iterations, foreign venture capital — in Spain, 70% of mega‑rounds have been foreign capital, and if you exclude those operations, foreign capital is still 50% of the total. That light air lets them leap, but also burn out too soon.

In recent years, both lungs have begun to connect. Corporations investing in venture capital, open innovation programs, proptech‑real estate alliances like those in Spain, where 64.7% of tech companies and 60% of traditional real estate firms already see collaboration as fundamental.

However, this union is not just a story of synergies. It’s a story of mutual renunciations: startups give up part of their rebelliousness; corporations abandon part of their comfort.

To observe these sacrifices, let’s walk sector by sector.


The Invisible Conflict: What Almost No One Wants to Name

Beneath growth charts and press releases about “innovation ecosystems,” there is a tension rarely mentioned: each improvement in technology and user experience — whether in finance, retail, health, mobility, education, or media — forces a choice about what or who will bear the deeper cost of change.

It’s not just about who wins market share.

It’s about:

  • Who carries the burden of rigid regulation?
  • Who sacrifices margin to sustain the “free” or “instant” experience?
  • Who hands over their data in exchange for convenience?
  • What pace of life we all end up normalizing?

This is the gentle war between two ways of being in the world:

  • The way that prioritizes continuity over speed.
  • The way that prioritizes experimentation over stability.

Both are necessary. Neither is free.


Financial Services: Stability That Weighs, Speed That Wears You Down

Business Models: Between Marble and Screens

Traditional banks still offer a refuge: trust, solvency, integrated insurance, physical branches that, for many people in Europe and Latin America, still symbolize security. Their income comes from interest margins, fees, and bundled products. In return, they carry branches, large workforces, and dense regulation.

Fintechs, on the other hand, present themselves as fast breathing: instant accounts, virtual cards, microloans, on‑demand insurance. They generate income via transaction fees, premium subscriptions, and often monetization of additional services. Their cost structure relies less on buildings and more on technology, cloud, and digital customer acquisition.

Sacrifice of banks: flexibility. They move cautiously, because every change is tied to legacy systems and strict regulation.

Sacrifice of fintechs: room to maneuver in regulation. In markets like Spain, even with laws designed to support business financing, the lack of regional regulatory harmonization slows their expansion and drains energy into lawyers and compliance.

Technology: Heavy Monoliths, Burning Microservices

Bank systems are often old monoliths, connected to patches of middleware and inherited CRMs. They’ve integrated some RPA and analytics, but with long change cycles, often annual.

Fintechs are born cloud‑native, with microservices, open APIs, advanced analytics, machine learning for credit scoring and personalization. Their release cycles are weekly or continuous.

Technological sacrifice of incumbents: capacity to experiment. Migrating a core banking system is not just an IT project, it’s open‑heart surgery.

Technological sacrifice of startups: serenity. Living in continuous deployment means living in continuous alert.

UX and Customer Journey: From Paper to Thumb Gesture

  • Scenario: opening an account

    • Traditional bank: appointment at a branch or a long web form, paperwork, manual verification, days of waiting.
    • Fintech: photo of ID, selfie, instant verification, account active in minutes.
  • Scenario: requesting a loan

    • Traditional bank: long history, analyst review, visit, appraisals, weeks.
    • Fintech: algorithms cross data, pre‑approvals in near real time.

The user experience with fintechs wins in speed, omnichannel access, and price transparency. But it pays a silent price: more data given up, more exposure to abrupt changes in conditions when venture capital pulls back.


Retail: Proximity That Tires, Convenience That Scatters Us

Business Models: Shelves vs. Algorithms

Physical shops offer something no app has fully replaced: presence, tangibility, short conversation at the checkout. Their income is direct sales, with fixed costs in rent, inventory, and staff.

E‑commerce platforms offer almost infinite variety, price comparison, fast shipping. They live off direct sales, third‑party commissions, advertising, and increasingly, data use for better segmentation.

Sacrifice of traditional retail: profit margins and their teams’ time. In trying to compete on price and hours, they stretch themselves to the limit.

Sacrifice of e‑commerce: deep relationship with the territory. Omnichannel strategies require huge investments in logistics and technology, and turn many relationships into fleeting interactions.

Technology: Cash Registers vs. Recommendation Engines

  • Traditional shops: POS, internal inventory systems, sometimes basic CRMs and loyalty programs.
  • Startups and large platforms: cloud architectures, massive analytics, AI for personalization.

At companies like Amazon, machine learning algorithms recommend products based on history and context, anticipating needs.

Technological sacrifice of physical commerce: operational simplicity. To integrate e‑commerce, click‑and‑collect, and delivery, it must become more complex.

Technological sacrifice of e‑commerce: robustness against failure. System outages are real‑time earthquakes.

UX: Walking an Aisle or Swiping a Finger

  • Scenario: buying a home appliance online
    • Physical store: travel there, compare on shelves, ask the salesperson; high time cost, human contact.
    • Platform: filters, reviews, price comparisons, scheduled delivery.

Platforms reduce friction, but shift part of the effort onto the user: learning to filter, to distinguish fake from real reviews, to set up payment methods.


Health: The Waiting Room and the Bright Screen

Business Models: Bodies Present, Data in Transit

Hospitals and traditional clinics operate with income from services, insurance, public contracts. Their structure is intensive in physical infrastructure, equipment, staff.

Telemedicine startups offer remote consultations, digital follow‑up, complementary wellness services. They earn via pay‑per‑consultation, subscriptions, agreements with insurers.

Sacrifice of traditional institutions: agility. Every change touches clinical protocols, unions, health regulations.

Sacrifice of healthtech: breadth of coverage. Their digital model doesn’t always reach rural areas or people with low digital literacy.

Technology: Paper Records, AI‑Assisted Diagnosis

  • Traditional institutions: still juggling physical medical records or fragmented systems; uneven digitalization.
  • Startups: cloud platforms, patient apps, AI for triage and diagnostic support.

In health, AI already analyzes large volumes of data to detect patterns and predict diseases, improving accuracy and efficiency.

Technological sacrifice of hospitals: professional time. Integrating new systems temporarily takes hours away from consultations.

Technological sacrifice of startups: ethical responsibility. A failure in an algorithm is not just a bug, it can be a missed diagnosis.

UX: The Appointment That Never Comes, the Video Call No One Explained

  • Scenario: booking a doctor’s appointment
    • Traditional hospital: phone calls, queues, rudimentary websites where confirmation is delayed.
    • Telemedicine: app with calendar, doctor selection, video from home.

The user gains immediacy, but loses some human signals only perceived in person. And professionals feel the pressure of being available on more channels, with more metrics, less quiet.


Mobility: Fixed Routes, Liquid Journeys

Business Models: Tickets and Matching Algorithms

Traditional transport companies (buses, regulated taxis, metro) survive on fares, public subsidies, concessions. They invest in costly infrastructure, fleets, stations.

Shared mobility and ride‑hailing startups offer on‑demand rides, micromobility, usage subscriptions. They earn via variable fares, platform commissions, sometimes advertising.

Sacrifice of traditional operators: pricing and service flexibility; they’re tied to concessions and long‑term contracts.

Sacrifice of mobility startups: job and reputational stability; they build models based on drivers or couriers often in precarious conditions.

Technology: Printed Lines, Live Maps

  • Traditional transport: ticketing systems, route planning with slow updates; gradual digitalization.
  • Startups: GPS apps, assignment algorithms, dynamic pricing, real‑time demand analysis.

Technological sacrifice of incumbents: total control. Integrating APIs and open data means giving up part of their information monopoly.

Technological sacrifice of startups: resilience to regulation. Regulatory changes can block or limit their operation overnight.

UX: Timetables on a Wall, Notifications in Your Pocket

  • Scenario: getting around the city
    • Traditional public transport: fixed schedules, paper tickets or cards, planned transfers.
    • Ride‑hailing or scooter app: on‑demand vehicle, geolocation, automatic payment, history.

The user gains moment‑by‑moment control, but pays with dependence on the network, exposure to dynamic fares, and a mental map of the city filtered through an interface.


Education: The Closed Classroom and the Infinite Window

Business Models: Annual Tuition, Monthly Subscriptions

Traditional universities and schools offer degrees, alumni networks, physical campuses. They live off tuition, public subsidies, research.

Online learning platforms offer flexible courses, micro‑credentials, bootcamps. They earn via course fees, subscriptions, B2B deals with companies.

Sacrifice of traditional institutions: speed of content adaptation. Programs take years to update.

Sacrifice of edtech: formative depth. They cannot always offer the immersion and community that a campus builds.

Technology: Chalkboards and Heavy LMSs, Agile Platforms with Analytics

  • Traditional institutions: corporate LMSs, video calls, often rushed digitalization.
  • Startups: cloud platforms, progress analytics, AI to personalize learning paths.

Technological sacrifice of incumbents: simplicity for teachers; they must relearn tools.

Technological sacrifice of startups: model stability; they depend on keeping engagement high in saturated environments.

UX: Bells and Hallways, Notifications and Modules

  • Scenario: learning a new skill
    • Traditional education: fixed calendar, periodic evaluation, physical attendance.
    • Edtech: on‑demand courses, 24/7 support, forums, remote mentoring.

Online experience reduces logistical friction, but demands inner discipline many haven’t developed, and emotional self‑management few platforms support.


Media and Entertainment: One‑Way Broadcast, Infinite Flow

Business Models: Prime Time vs. Algorithm

Traditional TV and press base their income on advertising, print subscriptions, distribution deals. They have high production and newsroom costs.

Streaming platforms and social networks monetize via subscriptions, hyper‑targeted ads and, in some cases, hybrid models. Costs fall on digital infrastructure, constant production, user acquisition.

Sacrifice of traditional media: centrality. They stop being the only channel; they compete for attention in an ocean.

Sacrifice of platforms: editorial depth. The algorithm favors what retains, not necessarily what nourishes.

Technology: Fixed Schedules, Live Feeds

  • Traditional media: broadcast systems, proprietary CMSs, delayed audience measurement.
  • Digital platforms: scalable cloud architectures, AI‑based recommendations, constant experimentation.

Blockchain is beginning to offer ways to manage copyrights and royalties more transparently.

Technological sacrifice of incumbents: control over the news rhythm.

Technological sacrifice of startups: living with permanent quantitative surveillance of every second of attention.

UX: Waiting for the News Hour, or Never Stopping the Scroll

  • Scenario: staying informed
    • Traditional media: news bulletin at a fixed hour, daily newspaper; clear curation.
    • Networks and platforms: continuous personalized flow.

The user gains immediate relevance, but loses a shared rhythm with their community and is exposed to echo chambers reinforced by AI.


Table of Sacrifices by Sector

Sector Main sacrifice of incumbents Main sacrifice of startups
Financial services Agility and experimentation Regulatory stability and margin for error
Retail Margin and operational simplicity Territorial ties and deep relationships
Health Speed of change Universal coverage and institutional robustness
Mobility Service flexibility Job and reputational stability
Education Rapid content adaptation Community depth and continuity
Media & entertainment Centrality in public conversation Editorial depth and shared human pace

Evidence and Intuition: When Data Breathes with Us

Collaboration between giants and startups is not theory; it has become a widespread practice.

  • In the Spanish proptech market, almost two thirds of tech firms (64.7%) and 60% of traditional real estate companies already perceive that mutual collaboration will be essential by 2025. Modernization of the sector depends on AI, machine learning, blockchain, and virtual reality applied to asset management and sales.[1]
  • The startup “galaxy” in Spain is largely fueled by foreign capital: mega‑rounds contain 70% foreign funds, and even without them, foreign capital still represents 50% of the total. That dependence implies sacrifices in control and local strategic orientation.[2]
  • In Colombia, open innovation has become a tool for large companies — for example, in insurance — to gain agility and cut costs by working with startups. This forces incumbents to give up some internal control, and startups to adopt processes and standards they wouldn’t have chosen alone.[3]
  • Regulatory frameworks like Spain’s 2015 Law to Promote Business Financing and later amendments attempt to ease the burden on startups. However, lack of harmonization and the need to comply with multiple regulatory layers still force sacrifices: time, focus, resources devoted to compliance.[4]
  • Regulatory sandboxes, studied in recent research, embody a temporary renunciation by regulators of absolute control in exchange for learning alongside the market. For startups, they are spaces where they sacrifice some freedom to operate under continuous observation.[5]
  • Across sectors, AI and blockchain underpin payment platforms, recommendation engines, and new media and entertainment experiences, intertwining innovation with fresh layers of risk, dependency, and regulatory pressure.[6]

The data tell us that cooperation is advancing, but they don’t tell everything: they don’t show team stress under continuous release cycles, nor user fatigue from managing more accounts, more apps, more passwords.


Table of Mutual Concessions

Dimension Incumbents: what they give up in collaboration Startups: what they give up in collaboration
Control Processes, full ownership of the solution Strategic and product autonomy
Speed Their own decision‑making pace Freedom to break things without consensus
Cultural identity Some aversion to risk Part of their irreverence and direct language
Margins By sharing revenue or investing in CVC By integrating at corporate price points
Intellectual property Partial openness, APIs, selected data Exclusivity over innovations developed

These tables don’t show winners. They show lungs sharing oxygen.


The Strategic Turn: Breathing Differently, Not Just Faster

From the silence of the monastery, strategy is not a list of tactics, but a different way of breathing.

For Incumbents: Conscious Sacrifices

  1. Let go of the illusion of total control
    Opening APIs, joining fintech, proptech, or healthtech ecosystems means accepting that part of innovation happens outside. It’s a sacrifice of institutional ego.

  2. Accept technological discomfort
    Migrating from legacy systems to cloud‑native architectures and microservices means taking on transition risks. It’s a vote of confidence in internal teams and external partners.

  3. Loosen rigid organizational structures
    Participating in open innovation, CVC, or startup programs requires giving up some layers of hierarchy and approval timelines. The reward is not immediate profit, but avoiding suffocation in the long term.

  4. Allow the customer a real voice, not just surveys
    Designing user‑centric digital journeys means accepting exposed friction, public reviews, and real‑time comparison sites.

For Startups: Sacrifices that Sustain the Pulse

  1. Abandon the fantasy of “move fast and break things” in sensitive sectors
    In finance, health, mobility, or education, breaking things can damage real lives. Embracing regulation, joining sandboxes, and adopting good practices is not a concession; it’s maturity.

  2. Renounce total dependence on speculative capital
    Seek economic sustainability, sound unit economics, diversified revenue streams. Fewer headlines, more businesses that survive.

  3. Accept that not every problem is solved with code alone
    Integrate with traditional players, understand physical processes, local regulations, different work cultures.

  4. Sacrifice some speed for integrity of experience
    Launch more slowly when user experience demands it, especially in vulnerable contexts (patients, students, indebted people).

For Regulators: The Sacrifice of Distance

  1. Stop being only distant referees
    Regulatory sandboxes are one example of regulators moving closer, learning alongside startups and corporations and giving up the comfort of remote rule‑making.

  2. Balance protection and innovation
    Frameworks that are too rigid suffocate startups; ones that are too lax put consumers at risk. The sacrifice here is accepting that no design is perfect, only continuously adjusted.

For Consumers: Everyday Sacrifices

  1. Choose consciously what data to hand over
    Every instant onboarding rests on information given up. The sacrifice may be part of your privacy.

  2. Resist total comfort
    Accept some friction when it protects rights, safety, or service quality. Don’t demand immediacy at any price.

  3. Cultivate critical digital literacy
    Understand how “free” services are financed, read terms when you can, question models that only work on endless debt of time or attention.


The Universal Breath: A Market That Is Also an Organism

When I observe the movement between giants and startups, I don’t see so much a battle as the clumsy choreography of a single body trying to stand up.

In financial services, the mix of banks and fintechs creates new forms of credit, payments, and insurance, but it will only be healthy if both accept sacrificing their extremes: absolute rigidity on one side, recklessness on the other.

In commerce, coexistence between shops and platforms could sustain vibrant neighborhoods and at the same time provide global access, if we let go of the dogma of “lowest price always” as the sole criterion.

In health, the union of hospitals and telemedicine can broaden access without fully displacing in‑person consultations. It requires abandoning the idea that digital is always superior, and that face‑to‑face is always more human.

In mobility, combining public transport and on‑demand services can reduce congestion and emissions, but only if we drop the fantasy of unlimited door‑to‑door availability.

In education, dialogue between classrooms and online platforms can sustain community and flexibility at once, at the cost of renouncing the belief that a single degree or a single course solves everything.

In media, collaboration between traditional journalism and digital platforms can create a more diverse information space, if we give up worshipping instant metrics as the only judge.

The universal breathing of the market doesn’t look like a pitch or a spreadsheet. It looks more like a person’s chest while asleep: rising, falling, sometimes pausing for a moment, sometimes speeding up. There is no progress without exhalation; no innovation without renunciation.

Our task is not to choose between giants and startups as if they were eternal sides. Our task is to ask, in each sector, in each decision:

What exactly are we sacrificing to obtain this convenience, this speed, this personalization?

And then, like someone sitting in silence to observe their own breathing, decide whether that sacrifice is worthy, whether it harmonizes with a life worth living.

Because true innovation is not just making the market breathe faster. It is learning to breathe together, without some suffocating so others can run.


References

  1. Solvia & TheFringe/LABS. “Análisis y perspectivas del mercado proptech en España 2024.” Data cited via Corresponsables: collaboration between proptech startups and traditional real estate companies and use of AI, machine learning, blockchain, and virtual reality.
  2. Cinco Días / El País. “La galaxia startup, un sector de 100.000 millones que busca su hueco en la economía española.” Data on mega‑rounds and the weight of foreign capital in the Spanish startup ecosystem.
  3. El Tiempo (Colombia). Coverage of open innovation and collaboration between large companies and startups, especially in sectors like insurance, highlighting the search for agility and cost reduction.
  4. Todostartups.com. Analysis of the impact of government regulation on the development of startups in Spain, including the 2015 Law to Promote Business Financing and the 2018 amendment to the Corporate Enterprises Act.
  5. Academic study on arXiv (2024) on regulatory sandboxes as a mechanism for collaboration between regulators and startups to test innovations in controlled environments.
  6. Widely documented sectoral examples of AI and blockchain use in finance, retail, health, and entertainment, including international payment platforms based on blockchain and product/content recommendation systems based on machine learning.