viernes, 15 de mayo de 2026

México envejece más rápido de lo que puede pagar

 

México envejece más rápido
de lo que puede pagar
— y lo que hay que hacer hoy

En el año 2000, la mitad de los mexicanos tenía menos de 22 años. Hoy esa mediana es 30.5 años. Para 2050 será 38.2. Hay 17 millones de personas mayores de 60 en México ahora mismo. Para 2040 serán 28 millones. El sistema de pensiones, el sistema de salud y el mercado laboral no están diseñados para esa realidad. Y el tiempo para rediseñarlos se está acabando.

Hay un experimento mental que hace décadas nadie se atrevía a plantear en México porque el resultado era demasiado conveniente ignorarlo. Toma la pirámide demográfica de 1950 — ancha en la base, angosta en la punta, un país de niños — y proyéctala hacia adelante décadas con las tasas de natalidad y mortalidad actuales. Lo que obtienes para 2050 no es una pirámide. Es un rectángulo con un bulto en la parte de arriba. Un país donde hay más personas mayores de 60 que menores de 15. Un país donde la relación entre trabajadores activos y jubilados, que hoy es de aproximadamente 10 a 1, se comprimirá dramáticamente. Un país donde el gasto en pensiones, salud y cuidados de largo plazo deberá financiarse con una base contributiva proporcionalmente más pequeña que la que existe hoy. Ese experimento no es un ejercicio académico. Es el escenario central documentado por el Consejo Nacional de Población. Ya no es el futuro. Es el presente acelerándose.

17.1Mpersonas mayores de 60 años en México en 2025 — 12.8% de la población. Serán 28 millones en 2040CONAPO · INAPAM · 2025
30.5años: la edad mediana de México hoy. Era 22 en 2000. Será 38.2 en 2050. El país envejece en cámara rápidaCONAPO · 2025
41.4%aumento real en el gasto de bolsillo en salud de los hogares mexicanos entre 2018 y 2024 — con 64.5% más hogares en gasto catastróficoMéxico Evalúa · ENIGH 2024
2.6%del PIB que México destinará a salud en 2026 — frente al 6% mínimo recomendado por la OMS y el 8.8% promedio OCDECIEP · 2025
6.6Bde pesos en cuentas AFORE — el 20% del PIB de México. El reto: que alcance cuando lleguen los 28 millones de jubiladosCONSAR · 2024
Curiosamente a inicios del año 2000, en la farmacéutica de la cuál desplegué algunos artículos; ya se visualizaba este problema con iniciativas en materia de salud y financiera, proponiendo algunos servicios y productos. Que se perdieron con su venta.
Adultos mayores activos — vejez digna, salud y vida productiva en México

El envejecimiento poblacional no es un problema demográfico. Es un problema de diseño institucional: ¿tiene México los sistemas de pensiones, salud, cuidados y empleo que necesita para que sus 17 millones de personas mayores — y los 28 millones proyectados para 2040 — tengan una vejez con dignidad? Los datos dicen que no. Y el tiempo para cambiarlos se mide en decisiones que deben tomarse hoy.

El mapa del envejecimiento: cómo llegamos aquí y a dónde vamos

México fue considerado durante décadas un país de jóvenes. No era solo una percepción cultural — era un dato demográfico real. En 1950, la estructura de edades tenía la forma de pirámide clásica: base ancha de niños, punta estrecha de adultos mayores. La tasa de natalidad era alta, la esperanza de vida era baja y el crecimiento poblacional era acelerado. Ese mundo ya no existe.

Lo que CONAPO documenta en sus proyecciones más recientes es una transición demográfica que ocurre en México en la mitad del tiempo que le tomó a Europa. El proceso que en los países más desarrollados tomó un siglo — incrementar la proporción de personas mayores de 60 en casi 21 puntos porcentuales — en México tomará la mitad del tiempo. La esperanza de vida se recuperó a 75.5 años en 2024 (78.9 para mujeres, 72 para hombres). La tasa de natalidad cae sistemáticamente. Y el resultado es matemáticamente inevitable: para 2030, México tendrá más personas mayores de 60 que menores de 15 años. Para 2070, el 34.2% de la población tendrá 60 años o más.

Hay además una heterogeneidad regional que complica cualquier respuesta nacional uniforme. Ciudad de México tendrá el 27.1% de su población mayor de 60 para 2040. Chiapas, solo el 13.4%. Un municipio de Veracruz ya tiene hoy más adultos mayores que jóvenes — resultado de décadas de emigración de población en edad activa. El envejecimiento no llega a todos los estados al mismo tiempo ni con la misma intensidad, pero sí llega a todos. Y las respuestas de política pública, los sistemas de salud y los modelos de empleo tendrán que acomodarse a esa heterogeneidad.

Las pensiones: el sistema que prometió más de lo que puede entregar

El sistema de pensiones en México es, en realidad, varios sistemas que coexisten con reglas distintas, poblaciones distintas y sostenibilidades fiscales radicalmente distintas. Entenderlo requiere distinguir entre generaciones, entre sectores y entre lo que el sistema promete y lo que puede financiar.

El diagnóstico · CONSAR · CIEP · 2024–2025

Los trabajadores en México aportan actualmente el 6.5% de su salario base al sistema AFORE, con una reforma que incrementará esa tasa gradualmente hasta el 15% para 2030 — donde el aumento recae principalmente sobre el empleador. Las AFORE administran en total 6.6 billones de pesos, equivalentes al 20% del PIB. Suena a mucho. El problema es la cobertura: más de la mitad de las personas que trabajan en México lo hacen en el sector informal o se mueven entre formalidad e informalidad durante su vida laboral, lo que hace menos probable que tengan acceso a una pensión contributiva cuando lleguen a los 65 años.

El gasto público en pensiones ha cambiado su composición significativamente. En 2018, el 95.7% del gasto total en pensiones era para las contributivas. Para 2024, esa proporción cayó al 76.3%, con el crecimiento de la Pensión para el Bienestar del Adulto Mayor (PBAM) como programa no contributivo. La PBAM cubre hoy a millones de personas que no tienen pensión formal. Es un alivio urgente y necesario. No es un sistema de retiro sostenible a largo plazo — porque su costo fiscal escala directamente con el envejecimiento poblacional sin tener una base de financiamiento contributivo detrás.

La tasa de reemplazo — el porcentaje del último salario que representa la pensión — es el indicador que más duele ver en perspectiva comparada. La OCDE estima que la tasa de reemplazo neta promedio en sus países miembros es del 61.4%. En México, para los trabajadores de la generación AFORE (los que entraron al mercado laboral después de 1997), las proyecciones de CONSAR con densidades de cotización realistas — no el escenario optimista de cotización continua — producen tasas de reemplazo de entre el 25% y el 40% para quienes tienen carreras formales completas. Para quienes tienen historiales mixtos de formalidad e informalidad, puede ser mucho menos.

El Fondo de Pensiones para el Bienestar — anunciado en 2024 con un saldo inicial de 40 mil millones de pesos de cuentas inactivas no reclamadas, administrado por el Banco de México — es un esfuerzo para complementar las pensiones de la generación AFORE. La reforma constitucional aprobada busca garantizar una tasa de reemplazo del 100% del último salario para quienes se retiren a los 65 años con carrera formal completa, hasta el tope del salario promedio del IMSS (16,777 pesos mensuales en 2024). El reto que los economistas señalan de forma consistente: el financiamiento de esa promesa a escala, para las generaciones que se irán jubilando a partir de 2030, no tiene una fuente documentada y sostenible.

Planeación financiera para el retiro — ahorro y pensiones en México

La diferencia entre una pensión que cubre el 25% del último salario y una que cubre el 60% no es una diferencia de grado. Es una diferencia de calidad de vida durante 15 o 20 años de vejez. Y esa diferencia se determina principalmente por las decisiones que se toman hoy: el ahorro voluntario, la densidad de cotización y la arquitectura de los sistemas que la hacen posible o imposible.

La salud: el sistema que ya no alcanza — y que enfrentará más demanda

Si el diagnóstico de las pensiones es preocupante, el de la salud es urgente. Los datos de 2024 documentan simultáneamente tres tendencias que se refuerzan mutuamente de la peor forma posible: el gasto público en salud cae en términos reales, el gasto de bolsillo de las familias sube sostenidamente, y la demanda de servicios aumentará estructuralmente a medida que envejece la población.

El diagnóstico · CIEP · México Evalúa · ENIGH 2024

México destinará el 2.6% del PIB a salud en 2026, según el CIEP. La OMS recomienda un mínimo del 6%. El promedio OCDE es 8.8%. La brecha no es marginal — requeriría al menos 3.5 puntos adicionales del PIB para aproximarse a la cobertura universal efectiva. Y mientras el presupuesto se contrae, la demanda crece.

El gasto de bolsillo de los hogares mexicanos en salud aumentó 41.4% en términos reales entre 2018 y 2024, con un alza de 116% en medicamentos. Los hogares con gastos catastróficos de salud — los que superan el 30% de su capacidad de pago — crecieron 64.5% en ese período. Hoy 1.11 millones de hogares enfrentan esa situación. México tiene el mayor gasto de bolsillo en salud de América Latina: el 41.37% del gasto total en salud lo pagan las familias directamente.

El dato más revelador sobre la fragmentación del sistema: el 63% de la población reporta afiliación a una institución pública de salud. Pero 6 de cada 10 personas se atienden en farmacias o consultorios privados. Tienen IMSS o ISSSTE en el papel. En la práctica, pagan de su bolsillo porque el sistema público no responde a tiempo, no tiene el medicamento o no tiene la cita disponible.

Para los adultos mayores, la situación es más aguda. Las personas de 60 años y más tienen mayor prevalencia de enfermedades crónicas — diabetes, hipertensión, insuficiencia renal, enfermedades cardiovasculares, demencias — que requieren atención continua, medicamentos de especialidad y en muchos casos cuidados de largo plazo. Los presupuestos de 2026 incluyen recortes reales a los institutos nacionales de cancerología, nutrición y cardiología — exactamente las instituciones que atienden las enfermedades que más años de vida saludable quitan a los mexicanos mayores. La decisión de recortar esos presupuestos hoy tiene consecuencias medibles en mortalidad y discapacidad en los próximos diez años.

La brecha entre quien tiene seguridad social y quien no tiene se amplía en lugar de cerrarse. Una persona con IMSS o ISSSTE tiene 2.3 veces los recursos de salud que tendría una persona con IMSS-Bienestar. Los hogares de menores ingresos destinan el 5.9% de su ingreso real (excluyendo apoyos sociales) a gasto de bolsillo en salud. Los hogares del decil X, solo el 2.1%. El sistema más caro para quien menos tiene — eso es lo que documentan los datos.

La fuerza laboral: la ventana que se cierra

Hay una variable demográfica que en los análisis de envejecimiento frecuentemente se omite porque es la más incómoda de discutir en términos de política pública: el bono demográfico. México se encuentra en los últimos años de su bono demográfico — el período en que la proporción de población en edad productiva (15 a 64 años) es máxima respecto a la población dependiente (niños y adultos mayores). Ese bono produce un dividendo económico potencial: más trabajadores por dependiente significa más ahorro potencial, más inversión potencial, más crecimiento potencial. El problema es que el dividendo requiere condiciones para materializarse. Y se ignora el verdadero potencial de experiencia, los procesos y las tecnologías emergentes operando en conjunto.

Fuerza Laboral · Informalidad · Productividad · OCDE · INEGI

Para 2030, siete de cada diez mexicanos tendrán entre 15 y 64 años — la proporción más alta de la historia del país. Es la última oportunidad de aprovechar esa estructura antes de que la proporción de adultos mayores empiece a aumentar de forma acelerada. Pero la mitad de esa fuerza laboral trabaja en la informalidad, sin cotización al IMSS, sin ahorro para el retiro, sin acceso a servicios de salud laborales y con productividad estructuralmente baja.

México tiene una de las tasas de participación laboral femenina más bajas de la OCDE — alrededor del 45%, frente al promedio OCDE del 65%. Eso representa millones de personas en edad productiva cuya participación económica formal está limitada por la falta de servicios de cuidado accesibles para niños y adultos mayores dependientes. La misma escasez de servicios de cuidado que dificulta la participación laboral de las mujeres hoy será la que hará imposible atender a los adultos mayores en 2040 si no se construye la infraestructura de cuidados ahora.

La automatización añade una capa adicional. El WEF estima que para 2030, el 44% de las habilidades laborales actuales serán obsoletas. En México, los empleos más expuestos a desplazamiento por automatización son precisamente los que concentran mayor informalidad: manufactura rutinaria, servicios de atención al cliente, transporte y logística, trabajo administrativo de bajo nivel. El trabajador informal de 45 años que en 2040 debería estar en la cúspide de su productividad y capacidad de ahorro para el retiro — ¿en qué está trabajando si su trabajo actual no existe?

Fuerza laboral activa y diversa — trabajo formal y productividad en México

La ventana del bono demográfico no se cierra de golpe. Se cierra gradualmente, año con año, a medida que la proporción de adultos mayores aumenta y la de trabajadores activos disminuye relativamente. Cada año de informalidad que un trabajador de 35 años acumula hoy es un año de cotización que no tendrá cuando necesite pensionarse. Y cada año que el país no construye infraestructura de cuidados es un año que la mujer de 40 no puede incorporarse plenamente al mercado formal.

Los servicios para una población envejecida: la demanda que nadie está construyendo

Más allá de pensiones y salud, el envejecimiento crea una demanda de servicios que México prácticamente no tiene desarrollada: los cuidados de largo plazo. En países como Japón, Alemania, Suecia o Corea del Sur, los cuidados de largo plazo — residencias para adultos mayores, servicios de atención domiciliaria, cuidadores profesionales, tecnología de asistencia — son un sector económico formalizado, regulado y financiado, con mercados laborales especializados y esquemas de seguro específicos. En México, ese sector casi no existe en su versión formal.

Cuidados de Largo Plazo · OPS · OMS · CEPAL

La OPS estima que para 2050, entre el 20% y el 25% de la población de América Latina requerirá algún tipo de cuidado de largo plazo. En México, eso representaría entre 29 y 36 millones de personas. Hoy, el trabajo de cuidado es realizado principalmente por mujeres de la familia, sin remuneración, sin capacitación formal, sin respaldo institucional y con un costo personal — en salud, en ingreso y en oportunidades laborales propias — que no aparece en ningún presupuesto público pero que es el costo más alto del sistema de cuidados mexicano.

Las residencias para adultos mayores de calidad son escasas y caras. La cobertura del IMSS para atención domiciliaria es limitada. Los servicios de rehabilitación, cuidados paliativos y atención a demencias no tienen la escala que la demografía exige. Y el sistema no tiene mecanismos de financiamiento diseñados para esa demanda — ningún seguro de cuidados de largo plazo obligatorio, ningún fondo específico, ningún modelo de mercado regulado que haga accesible la calidad.

"El envejecimiento en México no es un problema del futuro. Es el presente acelerándose. Y la ventana para preparar los sistemas de pensiones, salud, empleo y cuidados se cierra con cada año que pasa sin decisiones estructurales. Las respuestas más baratas son siempre las que se diseñan antes de la urgencia."— Jorge Mercado · #JMCoach

Lo que se puede construir hoy — con tecnología, política pública y visión integral

El diagnóstico es serio. Las soluciones no son misteriosas. Son conocidas, están documentadas, hay países que ya las ejecutaron — algunos desde posiciones fiscales más difíciles que la de México. Lo que se requiere no es inventar — es decidir, diseñar y ejecutar con la misma velocidad que avanza la demografía.

Pensiones: ampliar la cobertura real, no solo la nominal

Solución · Pensiones · Informalidad · Ahorro Voluntario

La reforma de 2020 que aumenta gradualmente las aportaciones hasta el 15% del salario para 2030 es un paso en la dirección correcta — pero solo beneficia a quienes tienen empleo formal continuo. El problema de fondo es la informalidad. Mecanismos de ahorro para el retiro accesibles para trabajadores informales — con aportaciones flexibles, desde montos pequeños, con incentivos fiscales proporcionales al ingreso — son la pieza que el sistema no tiene y que determina si la mitad de la fuerza laboral tendrá o no acceso a una vejez con alguna base de ahorro.

La tecnología ya resolvió la distribución: las mismas plataformas digitales que permiten a 9 millones de mexicanos tener una tarjeta Nu sin ir a un banco pueden permitirles aportar 200 pesos al mes a una cuenta AFORE desde el celular, con la misma fricción cero. El obstáculo no es técnico. Es regulatorio y de voluntad política.

Salud: el expediente clínico único y el modelo preventivo

Solución · Salud · Tecnología · Prevención · Integración

El costo de tratar enfermedades crónicas no controladas es entre 3 y 8 veces mayor que el costo de prevenirlas o controlarlas a tiempo. Un diabético bien controlado con medicamento, monitoreo y seguimiento regular cuesta al sistema una fracción de lo que cuesta un diabético con complicaciones renales o cardiovasculares en hospitalización. México tiene la NOM-024 que regula los expedientes clínicos electrónicos. Lo que no tiene es interoperabilidad real entre IMSS, ISSSTE, IMSS-Bienestar y el sector privado — lo que significa que el mismo paciente recibe atención en múltiples puntos del sistema sin que ninguno sepa lo que hicieron los otros.

Un expediente clínico único y accesible para el paciente y los prestadores autorizados, integrado con modelos predictivos de riesgo para enfermedades crónicas y con sistemas de alerta temprana para adherencia a tratamientos, podría reducir el costo de la atención crónica de forma significativa. Estonia, con muchos menos recursos que México, lo implementó a escala nacional. Israel, con un sistema fragmentado parecido al de México, lo hizo en 15 años. Ninguno lo resolvió con más dinero — lo resolvió con mejor arquitectura de información.

Fuerza laboral: la reconversión no es un proyecto de RRHH — es infraestructura nacional

Solución · Empleo · Capacitación · Economía del Cuidado

El sector de cuidados de largo plazo no es solo una respuesta al envejecimiento — es un generador de empleo formal con alta demanda estructural garantizada por la demografía. Cuidadores profesionales, técnicos en gerontología, terapeutas ocupacionales, operadores de tecnología de asistencia domiciliaria son ocupaciones que México necesitará en escala en los próximos 15 años y que hoy no tienen un sistema de formación ni certificación a la altura de esa demanda.

La economía del cuidado — si se formaliza, regula y financia adecuadamente — puede absorber a trabajadores desplazados por automatización, incorporar a mujeres que hoy realizan trabajo de cuidado no remunerado, y construir un sector con demanda estructural garantizada. No requiere inventar nada: requiere que alguien decida que ese sector vale el diseño institucional que se le ha dado al turismo, la manufactura o la logística.

Tecnología y servicios digitales: llegar al adulto mayor donde está

Solución · IA · IoT · Telemedicina · Accesibilidad

La misma infraestructura tecnológica que transformó los servicios financieros puede transformar los servicios de salud y cuidado para adultos mayores — con un diseño adecuado. Telemedicina que permita consulta desde casa para pacientes con movilidad limitada. Monitoreo IoT de constantes vitales para pacientes crónicos. Asistentes de IA para adherencia a tratamientos y detección temprana de deterioro cognitivo. Plataformas de coordinación de cuidadores domiciliarios con trazabilidad y calidad verificable.

Japón, Corea del Sur y Singapur lideran el mundo en tecnología aplicada al cuidado de adultos mayores precisamente porque sus demografías llegaron primero y la urgencia aceleró la innovación. México tiene la ventana de aprender de esos modelos antes de la urgencia — no después. Un adulto mayor en Oaxaca con diabetes e hipertensión controlada desde casa con un monitor conectado que alerta a su médico en el IMSS cuando algo se desvía del patrón, evita tres hospitalizaciones. El ROI de esa tecnología — calculado en términos de costo evitado para el sistema — paga la infraestructura en pocos años.

Las cinco decisiones que determinan si México llega preparado a 2040

1. Cobertura de pensiones para trabajadores informales con herramientas digitales. No un programa de gobierno más — una arquitectura de ahorro accesible, portable y con incentivos que funcione para quien trabaja por su cuenta, con jornadas variables y sin patrón formal.

2. Expediente clínico único interoperable. Pública, privada, IMSS, ISSSTE — el mismo paciente, una sola historia clínica. Eso requiere regulación, estándares y la voluntad de que las instituciones compartan datos con las personas que esos datos describen.

3. Inversión en prevención y control de enfermedades crónicas. Cada peso invertido en control de diabetes e hipertensión hoy evita entre tres y ocho pesos en hospitalización en diez años. La matemática es sencilla. La decisión presupuestal no lo está siendo.

4. Formalización del sector de cuidados como política de empleo. Certificación, regulación, seguridad social para cuidadores, financiamiento público para quien no puede pagar servicios privados. Es a la vez respuesta al envejecimiento y generación de empleo formal con demanda garantizada.

5. Infraestructura tecnológica de salud domiciliaria. Telemedicina, monitoreo remoto, asistencia digital — no como proyecto piloto de innovación sino como servicio con cobertura nacional, integrado al sistema de salud y accesible para quien más lo necesita.

El envejecimiento de México no es una crisis que llegará. Es una transición que ya ocurre, que continuará independientemente de las decisiones de política pública, y cuyo costo — en pensiones, en salud, en cuidados y en productividad laboral — se mide en billones de pesos y en millones de vidas. La diferencia entre una transición gestionada y una crisis no es de recursos — es de diseño. Los países que llegaron bien preparados al envejecimiento lo hicieron con los sistemas correctos, construidos con tiempo suficiente para madurar antes de que la demanda los desbordara.

México todavía tiene ese tiempo. Pero se mide en años, no en décadas.

Fuentes: CONAPO Proyecciones de Población 2025 · INAPAM Diagnóstico de Personas Adultas Mayores en México 2023 · CIEP Gasto en Salud 2025 y 2026 · México Evalúa ENIGH 2024 análisis gasto bolsillo · CONSAR Indicadores del Sistema de Ahorro para el Retiro 2024 · OCDE Health Statistics 2024 · CEPAL El Envejecimiento en América Latina y el Caribe 2022 · WEF Future of Jobs Report 2025 · Secretaría de Bienestar Diagnóstico Situación PAM 2024 · IMCO Gasto Salud 2024 · CIEP Financiamiento de Pensiones 2024 · INEGI ENIGH 2024 · Banco Mundial Indicadores de Salud 2024 · Reforma constitucional pensiones México 2024 · consultorsalud.com.mx análisis gasto bolsillo 2018–2024.

Jorge Mercado · #JMCoach
Coach Profesional Certificado · CTO · Arquitectura Empresarial · C-Level
Sectores regulados: CNBV · COFEPRIS · ASEA · Salud · Fintech · Tecnología aplicada con criterio de negocio
IA en producción · Sistemas de salud · Cadena de suministro farmacéutica · México y LATAM

twitter.com/JormerMx  ·  linkedin.com/in/mxjormer  ·  jmcoach-mx.blogspot.com

miércoles, 13 de mayo de 2026

More Mexicans Have a Smartphone Than Reliable Running Water.

 

More Mexicans Have a Smartphone Than Reliable Running Water.

And nobody calls it what it actually is: a political decision about which infrastructure we chose to build — and which ones we didn't.

Water pipes and infrastructure in Mexico

Two infrastructure systems. Two investment decisions. Two different political priorities. One country living with the consequences of both.

In 2024, 81.7% of Mexicans over age 6 used a mobile phone.
In 2024, only 52.3% of urban Mexicans had a constant, reliable water supply.

Read that again.

These are not estimates. They are the official numbers — published by INEGI and CONAGUA, the same government institutions responsible for measuring exactly this kind of gap. They are not disputed. They are simply not talked about in the same sentence.

We celebrate the smartphone number as progress. We lament the water number as a persistent challenge. What we almost never do is place the two figures side by side and ask the obvious question: how does a country build the infrastructure to connect 99 million people to mobile networks — and simultaneously fail to provide half its urban population with water they can count on turning the tap and finding?

The answer is not complicated. It is uncomfortable. It is a political decision. And understanding it is essential for anyone who cares about what digital progress actually means — and who it actually serves.

The Numbers Side by Side

Digital Connectivity · 2024
98.6M
Mexicans using a mobile phone in 2024 — 81.7% of the population over age 6. Among them, 96% use smartphones.
INEGI · ENDUTIH 2024 / IFT
Water Access · 2023–2024
52.3%
of urban Mexicans report having a constant, reliable water supply — down from 62.4% in 2019. It is getting worse, not better.
INEGI · ENCIG 2023 / El Financiero
Internet Access · 2024
83.1%
of the Mexican population used internet in 2024 — a record high. Urban areas: 86.9%. Rural areas: 68.5%. The gap persists.
INEGI · ENDUTIH 2024
Treated Water · 2022
14%
of Mexicans have access to treated, safe water at home, according to WHO. 92% have "access to water" — but access and reliability are not the same thing.
WHO 2022 / DAPA Mexico

Let that sit for a moment. Mexico has built a digital connectivity infrastructure that reaches more than four out of five people. It has not built a water infrastructure that guarantees reliable, constant supply to even half of those living in its cities. And in rural areas — where water scarcity is most acute — the infrastructure gap for both is larger, even if mobile connectivity has grown faster there than anywhere.

Person using smartphone in Mexico urban setting

The smartphone reached communities where the water pipe never did. That is not a technology success story. It is an infrastructure priority story.

Why the Comparison Is Not Unfair

Some will argue that telecommunications and water infrastructure are different problems — different technical complexity, different funding mechanisms, different timelines. That is true, and it is also the argument that has been used for decades to avoid the comparison. The technical differences are real. The political convenience of treating them as entirely separate is also real.

The facts make the comparison unavoidable. Mexico's telecommunications sector attracted massive private investment — primarily from a single dominant operator, but investment at scale nonetheless — under a regulatory framework that made connectivity a commercial opportunity. The IFT was created specifically to govern that investment and promote competition. When the commercial incentive was clear, the infrastructure followed. Not perfectly, not equitably, but it moved.

Water infrastructure in Mexico is constitutionally the responsibility of municipalities — many of which lack the technical capacity and the budget to maintain existing systems, let alone build new ones. CONAGUA estimates that approximately 30% of potable water in Mexico is lost to infrastructure leaks before it reaches anyone's tap. The national water balance shows 9,500 million cubic meters of groundwater being extracted annually in excess of natural recharge — the country is mining water it will not replace. Nine states including major industrial and population centers saw their reliable water supply decrease between 2021 and 2023. Chihuahua, Nuevo León, Puebla, Veracruz.

30% of Mexico's piped water leaks out before anyone drinks it.
Meanwhile, the country built mobile coverage for 99 million people.

The comparison is not unfair because the two things are technically equivalent. The comparison is fair because they reflect the same political economy: when there is a clear private return on investment, infrastructure gets built. When the beneficiaries are primarily poor, rural, or politically marginalized communities — and the return on investment is long-term, diffuse, and public — the investment does not follow at the same pace.

The Narrative of Digital Progress and What It Hides

The ENDUTIH 2024 results were celebrated across Mexico as evidence of transformative progress. And in one sense they deserve to be. Going from 39% of households with internet access in 2015 to 73.6% in 2024 is a real change that has real consequences for people's lives. Access to information, government services, economic opportunity, telemedicine, education — these are not trivial benefits.

73.6%
of Mexican households with internet access in 2024, up from 39% in 2015
INEGI · ENDUTIH 2024
30%
of Mexico's piped water is lost to infrastructure leaks before reaching any household
CONAGUA · National Water Statistics
9
states where reliable water supply decreased between 2021 and 2023, including Nuevo León and Veracruz
INEGI · ENCIG 2023
161 MXN
average monthly spending on a prepaid mobile plan — the most common type. That is approximately 8 USD.
INEGI · ENDUTIH 2024

But the narrative of digital progress becomes distorted when it is used to substitute for the harder conversation about basic services. When a government announces that 83% of the population uses internet as evidence of development — without noting that the same population is drinking water stored in household tanks because the municipal supply is unreliable — it is using one number to obscure another.

This is not unique to Mexico. It is a pattern visible across emerging economies where digital infrastructure has outpaced physical infrastructure. The smartphone becomes a substitute for the services the state did not deliver: telemedicine instead of clinics, digital banking instead of bank branches, online government services instead of functional local offices. The device is real. The access is real. The substitution for missing infrastructure is also real.

When connectivity becomes the substitute for services the state did not deliver, digital progress stops being an achievement and starts being an alibi.

The Investment Gap Is a Decision, Not a Destiny

Here is the number that puts everything in context: the UN estimates that every dollar invested in safe water and sanitation infrastructure returns between three and twelve dollars in economic benefits — through reduced healthcare costs, increased productivity, and decreased time spent obtaining and treating water. It is one of the highest-return infrastructure investments a government can make.

And yet the investment does not follow at the scale the need demands. Why?

Because water infrastructure does not have a private investor with the same motivation that built the cellular towers. Because the communities with the least reliable water access are also the communities with the least political weight. Because fixing a leak in a rural water system in Guerrero or Oaxaca does not generate the same headline as announcing 100 million mobile subscribers. Because the incentive structures in Mexican public spending — across administrations and parties — have consistently underweighted physical infrastructure for basic services relative to the visibility of digital announcements.

Rural Mexico community water access

In communities where water arrives twice a week by truck, internet arrived first. That sequence is a policy choice, not a technical inevitability.

This is not a left or right argument. The underinvestment in water infrastructure has been consistent across six-year terms, multiple parties, and different economic philosophies. It is a structural feature of how Mexico allocates public resources — and of how private capital flows in the absence of the regulatory frameworks that made telecommunications investment commercially viable.

The question is whether the same political will that built the IFT, structured the telecommunications concessions, and drove mobile penetration to 81.7% can be applied to water — with different ownership models, different regulatory incentives, and a genuine accounting of what the deficit is costing the country in healthcare, productivity, and human dignity.

What This Means for Digital Transformation — Really

For those working in technology, digital transformation, or public policy, this comparison matters in a very practical way. Every conversation about AI, IoT, smart cities, digital health, or connected government takes place in a context where the infrastructure underneath those promises is uneven — often radically so.

Building a telemedicine platform for rural communities that lack reliable water is not the same problem as building one for an urban hospital. Building a smart water meter network for a system that loses 30% of its water to leaks before those meters is not a technology problem — it is a political priority problem that technology can help solve, but cannot solve alone. Designing digital government services for populations that alternate between internet access and water rationing requires understanding both deficits, not just the one with the better press release.

The honest version of digital transformation in Mexico — in any emerging market — starts with the acknowledgment that connectivity is necessary and insufficient. That reaching 83% internet penetration while 47.7% of urban residents cannot count on water is not a paradox to be explained away. It is a mandate to ask different questions about which infrastructure problems deserve the same urgency, the same investment frameworks, and the same political will that built the mobile network.

A country where you can stream video but cannot count on water from your tap is not a digital success story.
It is an infrastructure priority story with some chapters missing.

The Conversation Worth Having

None of this is a reason to stop celebrating digital connectivity. Smartphones and internet access have genuinely transformed what is possible for millions of Mexicans — in health information, economic opportunity, civic participation, and daily life. The ENDUTIH numbers represent real change for real people.

But progress should be measured against the full list of what people need — not just the things that attracted private capital. The right benchmark for a country's development is not how many people have smartphones. It is how many people have smartphones and reliable water and functional health infrastructure and educational access and physical safety.

When we measure progress with only the metrics that look good, we end up making policy that optimizes for the measurement — not for the people. Mexico is not unique in this. But Mexico's specific combination of world-class digital penetration and deeply inadequate water infrastructure makes the gap unusually visible — and unusually instructive.

The next time someone celebrates Mexico's digital progress with an INEGI chart, ask them to put the water access chart next to it. The conversation that follows is the one worth having.

The goal was never to connect everyone to the internet. The goal was always to improve lives. Connectivity is a tool, not a destination — and tools are only as good as the problems they are aimed at.

Sources · INEGI · Encuesta Nacional sobre Disponibilidad y Uso de Tecnologías de la Información en los Hogares (ENDUTIH) 2024 — May 2025 (81.7% mobile users; 83.1% internet users; 73.6% households with internet; 161.8 MXN average prepaid spend) · INEGI / IFT · ENDUTIH 2024 Press Release — 98.6 million mobile users · INEGI · Encuesta Nacional de Calidad e Impacto Gubernamental (ENCIG) 2023 — only 52.3% of urban Mexicans report constant reliable water supply, down from 62.4% in 2019; 9 states reduced reliable supply 2021–2023 · CONAGUA · Estadísticas del Agua en México 2023 — 30% of piped water lost to leaks; 9,500 million m³ groundwater overextraction annually · WHO / OPS 2022 — 92% of Mexicans have access to potable water source; only 14% have access to treated water at home · DAPA Mexico — data compilation from CONAGUA, INEGI, OMS · UN Water — estimated $3–$12 economic return per $1 invested in safe water and sanitation infrastructure · El Financiero — "Crisis de agua crece en México: Casi la mitad de la población no tiene acceso a suministro constante" — March 2024.

If your organization works in digital transformation, public policy, smart infrastructure, or regulated sectors — and you want to think more clearly about which problems technology actually solves and which ones require different conversations — let's talk.

The How Maker · #JMCoach
Digital Transformation · Public Sector Technology · Smart Infrastructure · AI & Data Platforms · Regulated Industries · Executive & Board Advisory

martes, 12 de mayo de 2026

The fraud tax that's quietly killing fintech margins

 

The fraud tax that's
quietly killing fintech margins
— and what no one reports

Fraud rates in fintech grew 156% year-over-year in 2024. In Mexico, identity theft fraud jumped 77% in a single year — and financial institutions reimbursed just 1.4% of affected users. The great fintech opportunity is real. So is the great fintech liability. And the two are connected in ways most platforms would rather not discuss publicly.

There is a number that does not appear in any fintech pitch deck, any Series B memo, or any investor relations call. It does not appear in the beautifully designed annual report showing user growth, NPS improvement, and revenue per active customer. The number is the real cost of fraud — not the fraud that is detected and blocked, which gets reported as evidence of the platform's effectiveness. The fraud that gets through. The fraud that is absorbed as a cost of doing business, averaged into the unit economics, and quietly subsidized by the capital that was raised to grow the company. In Mexico alone, financial fraud losses reached approximately MX$14.5 billion in 2024 — roughly US$760 million — according to CONDUSEF. Identity theft and banking data theft were the primary causes in nearly 40% of cases. And financial institutions reimbursed just 1.4% of affected users. That's not a statistic about fraud. It's a statistic about who pays for it — and it isn't the platform.

Fintech cybersecurity — digital fraud detection and financial platform risk

The fintech that does not have a real-time fraud detection architecture is not just accepting risk — it is actively transferring that risk to its customers, its investors, and eventually its regulators. The moment regulators start asking specific questions about reimbursement rates and detection gaps, the platform discovers that "we have a fraud team" is not the same answer as "we have a fraud architecture."

156%year-over-year growth in fraud rates in the fintech sector in 2024 — the fastest-growing risk categorySumsub · Fintechmagazine.com
324%increase in account takeover attacks in Mexico between end of 2024 and early 2026 — highest in Latin AmericaBioCatch · Mexico Business News 2026
77%increase in identity-theft fraud in Mexico's banking system in 2024 — MX$11.3B (US$611M) in lossesCONDUSEF · Mexico Business News 2025
1.4%of fraud losses reimbursed to affected users by Mexican financial institutions in 2024 — the rest is absorbed by customersCONDUSEF · 2025
$43Bprojected global credit card fraud losses by 2026 — a number growing faster than the platforms trying to stop itNVIDIA · Fintechmagazine.com

The four angles of the same problem

Fintech fraud is not one problem with one solution. It is four interconnected problems that look different from the outside but share the same root: platforms that grew faster than their operational and security infrastructure, financed by capital that had no patience for the "boring" work of risk architecture. Understanding each angle is how you understand why the aggregate numbers are so large — and why the opportunity to fix it is equally large.

Angle 1: The opacity problem — what doesn't get reported

Mexico · Reporting Gap · Real Losses vs. Published Losses

CONDUSEF data represents what gets formally reported. Industry experts in Mexico consistently estimate that only 10% to 20% of actual digital financial fraud reaches formal complaint channels. The rest is absorbed silently: the user who doesn't know they can complain, the small transaction that isn't worth the friction of reporting, the business that writes off the loss rather than document the incident. Mexico experienced a 324% increase in account takeover attacks between end of 2024 and early 2026, according to BioCatch — making it the highest-growth fraud target in all of Latin America, significantly ahead of Colombia's 188% increase. That escalation also came with a 234% increase in fraud involving remote-access tools and a 150% rise in social engineering attacks. The published loss numbers are the floor, not the ceiling.

The opacity extends to the fintechs themselves. NuBank does not publish Mexico-specific fraud loss data. Clip, Kueski, and Konfío do not disclose their fraud rates. Three Mexican financial institutions were sanctioned by the U.S. Treasury in June 2025 for facilitating money laundering — a risk that emerges precisely from the absence of real-time monitoring at the operational level. CONDUSEF reported a 155% year-over-year jump in mobile banking fraud complaints in one quarter alone. When the reported data jumps that fast, the unreported data is moving faster.

Angle 2: The consumer trap — who really pays

User Trust · Reimbursement Gap · NuBank · Easy Credit Economics

Here is the part that users rarely understand: when a fintech gives you a credit card with minimal verification, a wallet with instant activation, or a buy-now-pay-later product with no underwriting friction — that generosity is not philanthropy. It is a calculated bet on your behavior at scale, partially subsidized by venture capital. The fraud losses that result from that approach are built into the unit economics as a cost of acquisition. When the fraud exceeds the model's assumptions, it becomes a solvency question disguised as a risk management one.

NuBank — the largest neobank in Latin America with over 100 million customers — reported a credit loss provision of US$1.4 billion in 2023, driven in part by aggressive expansion into riskier credit segments. Its cost of risk reached 6.1% of its portfolio. Nu Mexico does not break out local fraud and credit loss data. The 1.4% reimbursement rate CONDUSEF documented for all Mexican financial institutions means that when something goes wrong — when the account is taken over, when the transaction is fraudulent — the customer absorbs 98.6% of the cost. That is not a fraud prevention strategy. It is a cost transfer strategy. The platforms that will win long-term are the ones that invert that ratio — not because regulators force them to, but because trust is the only asset in financial services that cannot be rebuilt quickly once it's gone.

Mobile fintech app — user trust and digital financial security

The user who gets defrauded and isn't reimbursed does not become a churned customer in the platform's analytics. They become an active detractor, a regulatory complaint, and eventually a data point in the investigation that the fintech's compliance team will wish they had addressed operationally, not reactively.

Angle 3: The technical debt trap — AI as experiment, not architecture

AI Misuse · Fraud Detection · Siloed Systems · Model Drift

The financial sector now represents 27% of all data breaches globally — the highest of any industry, up from 19% in 2022. Fintech breaches average US$5.9 million per incident. Crypto platforms lost over $7 billion to hacks between 2022 and 2024 alone. And 41.8% of fintech breaches originate from third-party vendors — the APIs, the payment processors, the KYC providers — not from the fintech's core system directly.

The response most platforms have is to add an AI fraud detection tool. Sometimes several. Each one trained on different data, monitoring different signals, producing alerts that no one has a process to act on systematically. That is not a fraud architecture. That is a fraud archaeology project — discovering what happened after the fact, at cost. Real fraud detection runs in real time, on clean data, with a model that is continuously updated on new fraud patterns, with a decision engine that can act — block, flag, escalate — in the time between transaction initiation and settlement. Deloitte's Center for Financial Services estimated that by 2027, advances in generative AI will cost banks an estimated $40 billion in AI-driven fraud. That number reflects what happens when attackers have access to the same tools as defenders, but defenders haven't built the architecture to use those tools operationally.

The platform that added a fraud AI model on top of fragmented identity data, inconsistent transaction schemas, and an operations team that doesn't have a defined process for acting on model outputs is not more protected. It has more expensive dashboards and the same gaps.

Angle 4: The capital trap — what happens when the subsidy ends

Venture Capital · Apalancamiento · Burn Rate · Profitability Reckoning

Mexico's fintech sector attracted US$865 million in venture capital in 2024 — representing 74% of all VC deployed in Mexico that year. That concentration is both a signal of confidence and a structural risk. When the capital that subsidizes customer acquisition, absorbs fraud losses, and funds the "path to profitability" deck at slide 18 becomes more selective — as it already has globally, with total fintech investment hitting a seven-year low of $95.6 billion in 2024 — the math of fintech economics becomes merciless.

Global Authorized Push Payment (APP) fraud — where users are manipulated into approving fraudulent transactions — is projected to surge from US$150 billion in 2017 to US$250 trillion by 2027 according to LSEG. APP fraud is particularly dangerous for fintechs because it targets the user, not the platform's systems. The user approves the transaction. The platform has no technical obligation to reimburse. The loss appears in the user's account, not the platform's fraud ledger. That is the fraud that will most efficiently extract value from fintechs that built acquisition machines but not operational defense systems — because when it scales, it scales silently, through user behavior, not system breach.

$250TAPP Fraud volumes projected by 2027 — surging from $150T in 2017. The fastest-growing attack vector in digital paymentsLSEG · Fintechmagazine
$40Bestimated losses banks will face by 2027 from GenAI-enabled fraud — attackers using the same tools as defendersDeloitte Center for Financial Services
41.8%of fintech breaches originate from third-party vendors — APIs, KYC providers, payment processorsSecurityScorecard 2025
86%of banks surveyed are investing in new technology to combat fraud — but investment alone doesn't equal architectureComplyAdvantage · Fintechmagazine
90%reduction in phishing losses achievable with new adaptive technology — when it's properly implementedVisa · Fintechmagazine
Financial risk management — data analysis and fraud prevention operations

The fintech that treats fraud prevention as a compliance checkbox and AI as a marketing feature is not building a financial institution. It is building a growing liability with a beautiful interface. The ones that will still be operating at scale in 2030 are building the operational and technical infrastructure now — while they still have the capital to do it deliberately rather than the urgency to do it reactively.

The opportunity that the fraud conversation obscures

Here is what gets lost in the fraud narrative: the opportunity side of these numbers is enormous. Visa's data shows that adaptive technology can reduce phishing losses by up to 90%. The WEF survey found that fintechs using AI effectively reported 74% higher profitability and 75% reduced costs. The 86% of banks investing in new fraud prevention technology are not doing so reluctantly — they're doing it because the ROI on well-implemented fraud architecture is among the highest in the entire technology investment portfolio.

Fintechs currently hold just 3% of the global banking and insurance revenue pool in a $13 trillion market. Mexico's payments and remittances segment is projected to grow 76% by 2027. Digital payments grew from 29% to 46% of Mexican adults in five years. The unbanked population — 23% of Mexican adults — represents an addressable market that no traditional bank has served effectively. That opportunity is real, accessible, and not going away.

But capturing it requires something the first era of fintech consistently underinvested in: the operational trust that comes from protecting customers at the level the product promises. A fintech that tells users their money is safe, processes their transactions instantly, and reimbursed 1.4% of fraud losses has a trust gap that compounds over time. The users who stay despite that experience are the ones with no better option. The users who leave are the ones with choice. And the market that the fintech is trying to expand into — lower-income adults, the informally employed, small businesses — are precisely the users most likely to never return after one bad experience.

"Most fintechs today are user acquisition machines financed by capital, trying to become profitable financial institutions afterward. That 'afterward' is where most of them fail — especially when they are just burning money and calling fraud losses 'cost of growth.'"— Jorge Mercado · #JMCoach · CNBV-regulated fintech executive

What the architecture of a trustworthy fintech actually looks like

This is where the conversation has to become concrete. Saying "invest in fraud prevention" or "use AI responsibly" is not advice — it's a caption. The specific things that separate a fintech with a fraud architecture from a fintech with fraud awareness are operational decisions, not technology purchases.

Real-time decision intelligence — not retrospective dashboards

Fraud Detection · Decision Engine · Real-Time · Not Batch

Fraud happens in milliseconds. The transaction is initiated, the authorization is requested, the settlement occurs — and if the fraud detection ran a batch job overnight, the money is already gone. A real fraud architecture makes decisions in the authorization gap: between transaction initiation and settlement, the model evaluates the transaction against behavioral signals, device fingerprints, velocity patterns, geographic anomalies and account history, and it acts — approves, blocks, or flags for step-up authentication — before the transaction completes. That requires clean data flowing from every touchpoint in real time, a model that is continuously retrained on the platform's actual fraud patterns (not generic benchmarks), and a decision engine with defined escalation paths that the operations team actually follows. It is not a product. It is a process that a product enables.

Predictive risk — not reactive rules

Risk Operations · Predictive Models · Credit + Fraud + Compliance

Rules-based fraud detection fails against novel attack patterns by definition: it can only block what it has seen before. The 156% year-over-year growth in fintech fraud rates and the 324% increase in account takeovers in Mexico are evidence that attackers are operating faster than rules can be written. Predictive models that learn from behavioral signals — how a user typically navigates the app, how long they spend on each screen, what devices they use, from where, at what times — can detect account takeovers and social engineering attacks before a transaction is even initiated. BioCatch, which documented Mexico's ATO explosion, builds exactly this type of behavioral biometrics. The architecture principle is simple: model the normal so precisely that the abnormal is immediately visible, even when the abnormal is technically within the user's own account credentials.

AI with a defined role — not AI as a silo experiment

AI Application · Process-First · Governance · Not a Dashboard Project

The WEF survey of 240 fintech firms found that among those using AI effectively, 83% reported improved customer experience and 74% reported higher profitability. The key word is "effectively." In practice, the fintechs that got those results deployed AI on top of defined processes, clean data, and clear ownership of the model's outputs. The ones that got the opposite results deployed AI as a standalone capability — a model that generates alerts no one acts on, a scoring system that isn't connected to the authorization decision, a recommendation engine that runs on stale data and produces personalization that's six months behind the customer's actual behavior. AI in fintech is not a product category. It is a force multiplier for the operational quality that already exists. If the operations are fragmented, AI fragments them faster. If the operations are coherent, AI scales them exponentially.

Security from the first line of code — not the last layer of defense

Security by Design · Third-Party Risk · API Governance

With 41.8% of fintech breaches originating from third-party vendors, the security perimeter of a fintech is not its own systems — it is every API it calls, every SDK it embeds, every data processor it contracts. A security architecture that is designed from the start — with vendor risk assessment, API governance, data classification, access control by role and by data sensitivity, and continuous monitoring of all integration points — costs dramatically less than a security response after a breach. The IBM Cost of a Data Breach Report 2025 documented that organizations with extensive AI in security operations shortened breach times by 80 days and reduced average breach costs by $1.9 million. That number is available to fintechs that build the architecture. It is unavailable to fintechs that add security tools on top of an architecture that was never designed with security as a principle.

Security and code architecture — fintech platform built secure from the start

The fintech built securely from the start does not look different from the outside. The difference is entirely internal: in how decisions are made, how data flows, how models are governed, and how the team responds when something goes wrong. That internal difference is what separates a €460 million fraud loss (UK, 2023) from a 90% reduction in phishing losses (Visa, adaptive technology). Same threat. Different architecture.

The four questions that define whether a fintech has an architecture or just tools

Can you tell me, in real time, what your current fraud rate is by product, channel and customer segment? Not last month's number from the analytics team — the number right now, as transactions are being processed. If retrieving that requires a data pull, the fraud architecture is not operational.

When a fraud event occurs, what is the defined process from detection to resolution — including who contacts the customer, within what timeframe, and what the reimbursement criteria are? If the answer varies by which team member is on shift, it is a culture, not a process.

How does your fraud model learn from new attack patterns? Not "we update it periodically" — specifically, who owns model retraining, on what schedule, triggered by what criteria, reviewed by whom. If no one has a complete answer, the model is drifting.

What percentage of your fraud detection triggers are acted on within the authorization window — before settlement? For most fintechs, the honest answer to this question reveals that most of their fraud detection is retrospective, not preventive. That's where the $760 million in Mexico goes.

The fintech fraud problem is not a technology problem. The technology to solve it exists, is commercially available, and is documented to work. Visa's 90% phishing loss reduction is real. AI-driven behavioral biometrics that detect account takeovers before the first unauthorized transaction is real. Real-time decision engines that run in the authorization gap are real. They are not being used at scale in Mexico's fintech market because building them requires something that does not appear in a growth deck: operational discipline, process clarity, and the willingness to invest in the infrastructure before it is urgently needed.

The fintechs that build that infrastructure now — while they have capital, while the regulatory pressure is building but not yet acute, while the trust gap is recoverable — will be the ones that capture the actual fintech opportunity. The $13 trillion banking and insurance market. The 23% of unbanked Mexican adults. The $66 billion annual remittance corridor. The 76% growth in payments and remittances projected through 2027.

That opportunity does not go to the fastest grower. It goes to the platform that users trust with their money when something goes wrong — and that gets them their money back.

Sources: CONDUSEF Mexico 2024–2025 · BioCatch / Mexico Business News April 2026 · Sumsub Fraud Intelligence Report 2024 · Fintechmagazine.com July 2025 (ComplyAdvantage, NVIDIA, UK Finance, Visa, Mastercard, LSEG data) · Alloy State of Fraud Benchmark Report 2024–2025 · SecurityScorecard 2025 · Deloitte Center for Financial Services 2024 · IBM Cost of a Data Breach Report 2025 · WEF "Future of Global Fintech" 2025 (Cambridge Centre for Alternative Finance) · BCG / QED Investors 2025 · Finnovista Fintech Radar Mexico 2024 · Mobile Time Latinoamérica 2026 (Jumio / Samer Atassi) · FTC Consumer Fraud Report 2024 · Kroll 2024 Financial Sector Breach Report · NuBank Annual Report 2023 · CNBV · BNamericas CONDUSEF data.

Jorge Mercado · #JMCoach
Certified Professional Coach · CTO · Enterprise Architecture · C-Level
CNBV-regulated fintech · PCI-DSS · KYC · Face-ID · AWS Bedrock + Anthropic + MCP in production
Fraud architecture · Real-time risk · AI in financial services · Regulated sectors Mexico & LATAM

twitter.com/JormerMx  ·  linkedin.com/in/mxjormer  ·  jmcoach-mx.blogspot.com

México envejece más rápido de lo que puede pagar

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