When the banker woke up in Verdun and the founder in Stalingrad

The Hook: 7:12 a.m. on the Wrong Front Line

7:12 a.m. On a Monday.

Lucía, head of strategy at a major European bank, unlocks her phone in the car on the way to the office. A message from her CEO:

“Why do we take 5 days to grant a loan when an app does it in 5 minutes? Prepare an answer for the committee. Today.”

Elsewhere in the city, at 7:13, Diego, founder of an instant‑loan fintech, gets a different email:

“Runway: 7 months. CAC rising, fraud +40%. Either we reduce risk or there’s no next round.”

They’re both looking at the same market chart, both talking about “disruption”, “UX”, “APIs”. But in military history terms, they’re not fighting the same war. Lucía lives in Verdun: a war of attrition, fortified positions, heavy regulatory artillery. Diego is in Stalingrad: extreme mobility, improvisation, and a very real risk of disappearing this very winter.

This text isn’t about who wins. It’s about understanding what war each one is fighting on five fronts — banking, health, retail, mobility, and education — using three lenses: business model, technology, and user experience. Not as slogans, but as campaign logic.

Genesis: From Digital “Blitzkrieg” to Trench Warfare

In 2010 many executives thought the story would play out like Blitzkrieg: lean startups sweeping away slow incumbents. A decade later, the data shows something else:

• In banking, fintechs have grown strongly, but big banks still hold most deposits and retail credit. Platforms like N26 or Revolut have transformed UX, but haven’t displaced the core business of major banks.
• In health, platforms like Teladoc or Zocdoc have opened new channels and care models, but traditional hospitals and insurers still control most healthcare spending.
• In retail, Amazon, Zalando, and direct‑to‑consumer e‑commerce have permanently changed expectations of convenience, while many brick‑and‑mortar retailers remain thanks to their reach and in‑store experience.
• In mobility and last mile, Uber, DoorDash and others have created markets that didn’t exist before, but they depend on logistical and regulatory structures they don’t fully control.
• In education, Coursera, Khan Academy, and others have massively expanded access, but degrees from traditional universities remain the dominant “passport” for many professions.

We are in a prolonged war, not a lightning campaign. Understanding it requires a disciplined framework, as any general staff would use.

The General Staff Framework: Three Maps for Five Fronts

We’ll use three maps for each sector:

1. Business model
   Where does the money come from? How are costs distributed? Which channels dominate? What kind of lock‑in is built?

2. Technology
   What technological weapons does each side use? Legacy core vs. cloud‑native? What roles do data and AI play? How fast does each side iterate?

3. User experience (UX/CX)
   What does the “civilian” (customer/patient/user) experience from first contact to resolution of their need? Where is the friction? Where is the trust?

We’ll keep this framework constant, like a campaign plan replicated on each front.

The Invisible Conflict: One Day on Five Fronts

To keep these three maps from staying abstract, we’ll follow a single day in the lives of Lucía and Diego, who cross paths symbolically across five sectors. Each scene looks more like a military campaign than a pitch deck.

Front 1: Banking vs. Fintech – The Battle for Supply Lines

9:00 – Bank War Room

Lucía walks into the risk committee. On screen, an uncomfortable comparison: approval times, NPS, cost per customer, benchmarked against a couple of neobanks and platforms like Stripe.

Business Model: Heavy Artillery vs. Recon Units

Incumbent bank

• Revenues: net interest margin, service fees, cross‑selling (insurance, funds).
• Costs: branch network, regulatory compliance, risk teams, core systems. High fixed base, strong operating leverage.
• Channels: combination of branches, call center, and digital channels.
• Lock‑in: payroll accounts, long‑term mortgages, product bundles. High customer inertia.

Fintech

• Revenues: subscriptions (premium accounts), transaction fees, interchange, B2B infrastructure (e.g. Stripe’s model).
• Costs: tech stack, digital marketing, partnerships with banks/license holders. Less physical CAPEX, higher acquisition spend.
• Channels: mobile‑first, APIs embedded in other services (B2B2C).
• Lock‑in: user experience, integration with other apps, aggregated data from multiple accounts.

Tactically, many fintechs don’t invent a completely new model; they re‑package the banking model, turn it into “‑as‑a‑service” and shift part of the value to UX and API infrastructure.

Technology: The Core as a Trench

• Banks: on‑premise core systems patched over decades. Complex integration; every change is like moving heavy artillery.
• Fintech: cloud‑native, microservices, open APIs. Frequent releases, continuous A/B testing, heavy back‑office automation.

Banks are starting to expose APIs (open banking) and consume SaaS, but their speed of change is limited by the risk of “breaking the core.”

UX/CX: Onboarding as a River Crossing

• Traditional bank: physical or semi‑digital forms, in‑person or poorly optimized KYC, approval times in days. Image of security, but high friction.
• Fintech: fast onboarding, remote verification, clean interface. 24/7 digital support, but perceived as less solid in a crisis.

Banking front lesson: the battle isn’t “bank vs. app”, but “robust balance sheet + license + historical data” vs. “speed + experience layer + modularity”. The winner will combine both flanks without breaking their supply lines (capital and trust).

Front 2: Healthcare vs. Healthtech – Campaign Logistics in Hostile Terrain

11:30 – Waiting Room and Split Screen

Lucía’s mother tries to get an appointment with a specialist: weeks of waiting, busy phone lines. Meanwhile, on Diego’s phone, a telemedicine app offers him a consult in 20 minutes.

Business Model: Hospitals as Fortifications, Platforms as Guerrilla Units

Incumbents (hospitals, insurers)

• Revenues: fee‑for‑service, policies, capitated payments in some systems.
• Costs: facilities, equipment, medical staff, regulatory compliance, malpractice insurance.
• Channels: physical network of centers, insurer intermediation.
• Lock‑in: provider networks, coverage compatibility, physical proximity.

Healthtech

• Revenues: telemedicine subscriptions, per‑consult fees, B2B deals with employers (employee benefits).
• Costs: platform development, acquisition of doctors and patients, data privacy compliance.
• Channels: mobile apps, integrations with insurers and employers.
• Lock‑in: their own digital records, ease of access, remote monitoring programs.

Many healthtech players don’t replace the hospital; they reconfigure touchpoints and monetize accessibility and coordination.

Technology: Interoperability, the Unseen Enemy

• Hospitals: fragmented, often outdated EMR/EHR systems with poor interoperability. Upgrading is like reorganizing a logistics base under fire.
• Startups: cloud platforms, APIs to integrate devices and systems, analytics for triage, adherence, and risk prediction.

Unlike banking, where open banking is advancing, in health interoperability is still very slow: strict regulations and heterogeneous formats create a “mud” in which troops barely move.

UX/CX: From Administrative Hell to the Couch Consult

• Traditional system: repeated forms, queues, little transparency on times and prices, scattered communication.
• Healthtech: online scheduling, automated reminders, video consults, records accessible via app, shorter waits.

The trust gap is crucial: for major surgery, most people still prefer the big hospital, not the app. Healthtech wins skirmishes (minor visits, follow‑up), but not the big battles (surgery, complex hospitalization).

Front 3: Physical Retail vs. E‑commerce/D2C – From City Walls to Street Fighting

14:00 – Lunch with Printed Receipt and Digital Cart

Lucía goes down for lunch and pays at the same supermarket chain as always. Paper receipt, moderate line. Diego orders via an app; 30 minutes later the food is at his door.

Business Model: Brick Fortresses vs. Online Snipers

Physical retail

• Revenues: in‑store sales; category‑based margins; supplier‑funded promotions.
• Costs: rent, in‑store staff, local inventory, shrinkage.
• Channels: owned stores, distributors, some bolt‑on e‑commerce.
• Lock‑in: location, habits, loyalty cards.

E‑commerce / Direct‑to‑Consumer

• Revenues: online direct sales, often subscriptions, bundles, intensive cross‑selling.
• Costs: last‑mile logistics, centralized warehousing, digital marketing, tech platforms.
• Channels: own web and mobile, marketplaces like Amazon, social media.
• Lock‑in: convenience, Prime‑like programs, personalization, services ecosystem.

Here, unlike banking, the model has been radically transformed: distributor disintermediation, margin reconfiguration, instant internationalization.

Technology: From ERP to Recommendation Engines

• Traditional physical retail: POS systems, ERPs, some analytics around average basket, limited unified view of the customer.
• E‑commerce/D2C: cloud platforms, recommendation engines, advanced behavioral analytics, dynamic pricing, inventory optimization.

Here technology doesn’t just back the business; it defines it: without a strong stack, D2C is just marketing on a spreadsheet.

UX/CX: Touch and Smell vs. One Click and Wait

• Physical store: sensory experience, instant purchase, human interaction, returns on the spot, but requires travel and fixed hours.
• Online: 24/7 availability, reviews, price comparison, fast delivery. Friction lies in waiting, returns, and sometimes trust.

This war resembles the Industrial Revolution: no one went back to the old world, but many old factories were repurposed. Surviving physical retail will be the one that redesigns stores as experience and logistics nodes, not just sales channels.

Front 4: Mobility/Logistics vs. Digital Platforms – Maneuver Warfare and Supply Routes

17:20 – The Commute Home

Lucía hails a taxi on the street; it takes a while. Diego opens a ride‑hailing app and watches the car move towards him on the map. Meanwhile, a package he ordered yesterday crosses the city via a fleet combining traditional operators and a last‑mile platform.

Business Model: Locked‑In Contracts vs. Dynamic Pricing

Traditional operators (taxis, carriers, parcel services)

• Revenues: regulated fares, long‑term B2B contracts, fixed routes.
• Costs: owned or affiliated vehicles, fuel, licenses, staff, logistics hubs.
• Channels: call centers, corporate contracts, physical offices.
• Lock‑in: taxi medallions, big client contracts, warehouse and hub infrastructure.

Digital platforms (Uber, DoorDash, freight tech)

• Revenues: per‑ride/delivery commissions, service fees, sometimes subscriptions for frequent users.
• Costs: platform development, driver/courier incentives, marketing. Lower physical CAPEX in asset‑light models.
• Channels: mobile apps, integrations with retailers and restaurants.
• Lock‑in: two‑sided network (drivers and riders), convenience, route data, merchant deals.

Here the business model has been reconfigured: platforms have positioned themselves as dominant intermediaries, setting rules for drivers and users without bearing all the structural costs of a traditional fleet.

Technology: GPS as Precision Artillery

• Traditional operator: often closed fleet management systems, relatively static planning, limited real‑time visibility for end users.
• Platforms: geo‑enabled apps, matching algorithms, dynamic routing based on massive data, continuous experiments on pricing and timing.

This tech superiority turns each city into a kind of “chessboard” where platforms can reconfigure vehicle allocation minute by minute.

UX/CX: From “Call Back in 20 Minutes” to “Your Car Is 3 Minutes Away”

• Traditional: uncertain arrival, cash or card payments, little advance info on driver or final cost.
• Digital platform: real‑time ETA, estimated or fixed price, trip tracking, ratings.

Again, trust cuts both ways: some users see platforms as more modern but less safe or less “regulated”; others see them as the quality standard.

Front 5: Traditional Education vs. Edtech – War of Prestige and Troop Morale

21:45 – The Night Course That Never Shows Up on the Diploma

Lucía encourages her son to attend a traditional university. Diego, who never finished his degree, is doing an online course on a global platform while watching Khan Academy videos with his nephew.

Business Model: Centuries‑Old Castles vs. Mobile Camps

Traditional education (schools, universities)

• Revenues: tuition, fees, donations, public funding, research grants.
• Costs: physical campuses, faculty, administration, student services.
• Channels: in‑person and, increasingly, hybrid programs.
• Lock‑in: official accreditation, historical reputation, alumni networks.

Edtech (Coursera, MOOCs, online academies)

• Revenues: subscriptions, paid courses, corporate programs, their own or co‑branded certificates.
• Costs: content production, tech platform, student acquisition.
• Channels: web and apps, often B2B via employers buying training for staff.
• Lock‑in: broad catalogs, personalized learning paths, digital communities.

Here disruption has been massive in access but limited in status: users learn more and cheaper, but the diploma that still matters most in hiring typically comes from the incumbent.

Technology: From Campus to Learning Graph

• Traditional university: basic LMSs, videoconferencing, partial digitization, scattered data on real learning.
• Edtech: platforms that track interaction at micro level (clicks, minutes, exercises), adapt content, recommend paths, and generate detailed analytics.

Few universities exploit the full potential of learning data; many just reproduce the in‑person class via video.

UX/CX: Fixed Schedules vs. Asymmetric Time Warfare

• Traditional education: rigid calendars, fixed exam dates, required in‑person or semi‑in‑person attendance. Rich social and campus experience, but low flexibility.
• Edtech: on‑demand access, micro‑lessons, forums, online tutors, instant certification. High flexibility, but sometimes lacking support and structure.

The battle is about meaning: is a traditional degree you half‑learned worth more than an online program that truly transformed your skills? The job market answers unevenly by sector and country.

Evidence and Insights: The Day’s War Report

Throughout Lucía and Diego’s day, patterns emerge consistent with recent digitalization studies:

• Startups and digital players usually dominate the experience layer, shortening times (from days to minutes), reducing friction (remote onboarding, self‑service) and using data to personalize.
• Incumbents that truly reinvent themselves digitally and manage to integrate modern tech into their core are far more likely to transform their entire business model than those that just digitize surface processes (as McKinsey notes for “digital reinventors”).
• In heavily regulated sectors (banking, health, education), power shifts more slowly: the castle holds thanks to regulation, capital, and trust; digital guerrillas dominate specific flanks.

To organize these observations, here is the day’s first tactical chart.

Table 1 – Daily Scorecard: Lucía vs. Diego

Strategic Maneuver: What Must Change Today, Not in 10 Years

A good strategist doesn’t just map the field; they propose maneuvers. These are not universal recipes, but recurring tactical patterns.

For Incumbents: Moving Without Losing the Castle

1. Separate fronts: stable core, experimental edge
   Create units with a clear mandate to test new models (an internal fintech, healthtech, etc.) with their own tech stack but disciplined access to the core (data, licenses).

2. Treat technology as a strategic weapon, not logistics
   It’s not enough to “have an app”. You need to:

   • gradually migrate to more modular infrastructures (cloud, microservices where it makes sense),
   • open APIs to build ecosystems (open banking, health interoperability, edtech integrations),
   • invest in in‑house data and AI capabilities tied to business decisions, not isolated labs.

3. Redesign experience from the user, not the org chart
   Take Lucía’s day as the design object: what would it look like if the bank, hospital, retailer, or university started from her time, not their processes?

4. Partner with startups without giving away the hilltop
   Where regulation and capital create advantage, alliances should be structured as platforms: the incumbent controls critical assets and standards; the startup brings speed and focus.

For Startups: Surviving the Stalingrad Winter

1. Choose your battle wisely
   Not all fronts are equal. Sectors with lighter regulation and high UX weight (retail, parts of mobility, much of edtech) are better suited to frontal disruption. In banking and health, the path is usually B2B2C collaboration or “infrastructure for incumbents.”

2. Build moats beyond a pretty app

   • proprietary data that’s hard to replicate (behavior, risk, health patterns),
   • algorithms or processes that improve with scale,
   • communities or networks where each new user increases value.

3. Take regulation seriously before it takes you seriously
   Understand regulation as terrain: a strategic variable, not a “legal detail”.

4. Win early on what matters to incumbents
   If the goal is collaboration, show impact on metrics incumbents care about: acquisition cost, churn reduction, NPS improvement in specific segments, operational efficiency.

Panoramic View: The Full Campaign Map

To close Lucía and Diego’s day, we can synthesize the fronts in a single matrix — the kind of document a general would spread out before deciding where to deploy their best troops.

Table 2 – Comparative Matrix by Sector and Dimension

Big Picture: Where Do the Light Troops Advance Faster?

From this map, a few tactical conclusions emerge:

1. Sectors where startups advance fastest

   • Where regulation is lighter and UX matters more than physical assets: parts of retail, many mobility niches, much of edtech.
   • Where they can create new markets (e.g. consumer subscription models, new learning formats) rather than wresting away the core of existing business.

2. Sectors of inevitable cohabitation and alliances

   • Banking, health, and regulated education look like positional wars: incumbents hold the castle (licenses, capital, accreditation), startups hold advanced positions (UX, digital channels, analytics), and often both end up signing treaties: white‑label, infrastructure for third parties, co‑branding.

3. Incumbent capabilities that are hard to copy

   • Regulated capital and access to cheap funding (banking).
   • Critical physical infrastructure and professional networks (hospitals, universities, heavy logistics).
   • Deep, high‑quality historical data (e.g. credit risk histories, long medical records).
   • Licenses, accreditations, institutional relationships with regulators.

4. Startup capabilities transferable to incumbents

   • Product and experimentation culture (small teams with clear ownership, usage metrics focus, frequent releases).
   • User‑centered design and obsession with friction.
   • Intensive use of data and analytics for day‑to‑day operational decisions.
   • Modular tech architectures, even if integration takes years.

If they wished, Lucía and Diego could end the day on the same side: a platform‑bank operating with fintech agility; a hospital integrating healthtech for triage and follow‑up; a retailer using its physical network as an advantage in an e‑commerce world; a university with edtech built into its core.

But that requires accepting the strategic reality: this is not a war of total annihilation, but a campaign of positions and alliances.

The Final Idea: The Century of Digital Wars of Attrition

Tech narratives love “instant revolutions.” Military history suggests otherwise: most long conflicts are decided through accumulated small maneuvers, by whoever better manages time, logistics, and troop morale.

In this century, incumbents and startups are not doomed, separate armies. More often, they are different wings of the same economic army, forced to coordinate so they don’t lose the larger campaign to other players: big tech platforms, new regulators, geopolitical shocks.

The strategic question for any executive or founder is not: “Who will win, incumbents or startups?” It’s far more uncomfortable and tactical:

“In my user’s real day — like Lucía’s or Diego’s — in which specific battle do I have a right to exist, and with what combination of business model, technology, and user experience?”

Wars of attrition are not won with slogans or 50‑slide decks. They’re won with daily decisions, like the ones Lucía and Diego make without realizing that, as they unlock their phones, they are moving pieces on a much larger historical board.

References

1. McKinsey & Company, "How digital reinventors are pulling away from the pack" (contextualized access).
2. Fintech examples: N26, Revolut, Stripe (illustrative cases of digital models in banking and payments).
3. Healthtech examples: Teladoc, Zocdoc, Oscar Health (telemedicine, appointment intermediation, and digital insurance).
4. E‑commerce/D2C examples: Amazon, Zalando (global e‑commerce platforms with strong data components).
5. Digital mobility/logistics examples: Uber, DoorDash (ride‑hailing and last‑mile platforms).
6. Edtech examples: Coursera, Khan Academy (online courses and open educational resources platforms).