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El Índice Anual de Tendencias Laborales 2025: Nace The Frontier Firm

abril 23, 2025

El Índice Anual de Tendencias Laborales 2025: Nace The Frontier Firm

Un dibujo artístico de un edificio de oficinas del futuro y personas fuera de él en blanco, frente a un fondo azul oscuro

Por: Jared Spataro, CMO, IA en el trabajo.

Hemos comenzado a entrar en una nueva realidad, una en la que la IA puede razonar y resolver problemas de maneras extraordinarias. Esta inteligencia disponible reescribirá las reglas de los negocios y transformará el trabajo del conocimiento tal como lo conocemos. Al igual que la Revolución Industrial y la era de Internet, esta transformación tardará décadas en mostrarse prometedora de manera plena, y traerá consigo un amplio cambio tecnológico, social y económico.

El Informe Anual del Índice de Tendencias Laborales 2025 está diseñado para preparar a los líderes y empleados para este cambio. Al igual que en años anteriores, se basa en una gran encuesta global, la telemetría de Microsoft 365 y las tendencias laborales y de contratación de LinkedIn. La novedad de este año son las perspectivas de empresas emergentes nativas de IA, economistas, científicos y académicos, que apuntan a un cambio sísmico que ya está en marcha. De hecho, el 82% de los líderes dicen que este es un año crucial para repensar los aspectos centrales de la estrategia y las operaciones.

Los datos revelan el surgimiento de un nuevo tipo de organización: la Frontier Firm (Firma de Frontera), construida en torno a la inteligencia disponible, equipos de agentes humanos y un nuevo rol para todos: jefe de agente. Si bien el cambio que se avecina es profundo, la ambición, la creatividad y el ingenio humanos continuarán con la creación de nuevos valores y oportunidades económicas. De hecho, el 71% de los trabajadores de estas empresas dicen que su empresa prospera, en comparación con solo el 37% a nivel mundial.

Pueden comprar inteligencia de barril

Imagínense si supieran, antes de que Internet despegara, cuánto remodelaría el negocio. Ahí es donde estamos con la IA. La inteligencia ya no está limitada por el número de empleados o la experiencia. Es un bien esencial y duradero: abundante, asequible y escalable bajo demanda. A medida que crecen las presiones económicas y de los accionistas, esta inteligencia bajo demanda ofrece una nueva palanca para el crecimiento, una que puede cerrar la creciente brecha entre las demandas comerciales y la capacidad humana. Mientras que el 53% de los líderes dicen que la productividad debe aumentar, el 80% de la fuerza laboral global informa que carece del tiempo o la energía para hacer su trabajo. Y en promedio, los empleados son interrumpidos por una reunión, correo electrónico o ping cada 2 minutos. Para cerrar esta brecha de capacidad, el 82% de los líderes esperan utilizar la mano de obra digital para expandir su fuerza laboral en los próximos 12 a 18 meses.

El trabajo digital estimulará la reinvención incluso de las empresas más establecidas, y el nacimiento de nuevas empresas en las que aún no hemos pensado. En LinkedIn, las principales startups de IA contratan a una tasa 2 veces superior a la de las grandes tecnológicas. Gran parte de ese talento fluye desde las grandes tecnológicas y permanece en el mundo de las startups, lo que apunta a un cambio más profundo en el que la innovación -y las oportunidades- están en aumento. A medida que los operadores tradicionales se adaptan y los rivales escalan, como vimos en el auge de la .com, las reglas del talento y la competencia se reescriben en tiempo real.

Los equipos de agentes humanos darán un vuelco al organigrama

A medida que la IA continúa con la democratización de la experiencia, vemos un paso de organigramas rígidos a diagramas de trabajo más fluidos y orientados a resultados. Estas estructuras se adaptan a las necesidades de la empresa, al aprovechar la combinación adecuada de humanos y agentes para realizar el trabajo. Si bien cada función evolucionará a un ritmo y escala diferentes, el 46% de los líderes dicen que su organización está utiliza agentes para automatizar por completo los flujos de trabajo o los procesos comerciales, con el servicio al cliente, el marketing y el desarrollo de productos como las principales prioridades de inversión en IA.

Para maximizar el impacto de estos equipos de agentes humanos, las organizaciones necesitan una nueva métrica: la relación humano-agente. Los líderes deben hacerse dos preguntas críticas: ¿Cuántos agentes se necesitan para qué roles y tareas? ¿Y cuántos humanos se necesitan para guiarlos? Conseguir esa proporción correcta será fundamental, y específico de la tarea. Las organizaciones deberán considerar si hay momentos en los que el trabajo humano y digital supera a la IA por sí sola, cuando los clientes prefieren un toque humano o cuando la sociedad espera que las personas sean responsables de las consecuencias, como un producto de alto riesgo o una decisión financiera. Ya sea que se trate de una conversación con un cliente, una decisión estratégica o el lanzamiento de un producto, saber cómo contratar a la combinación adecuada de humanos y agentes definirá cómo se realiza el trabajo y cómo se mide el éxito.

Cada empleado se convierte en un jefe de agente

A medida que los agentes se unan cada vez más a la fuerza laboral, veremos el surgimiento del jefe de agentes: alguien que crea, delega y administra a los agentes para amplificar su impacto y tomar el control de su carrera en la era de la IA. Desde la sala de juntas hasta la primera línea, cada trabajador tendrá que pensar como el CEO de una startup impulsada por agentes. De hecho, los líderes esperan que sus equipos entrenen (41%) y gestionen (36%) a los agentes dentro de cinco años.

Para aquellos que estén listos para apoyarse, la IA será un acelerador de carreras, pero los líderes están por delante. Medimos la mentalidad del jefe del agente a través de siete indicadores, desde el uso regular y la confianza hasta el impacto en la carrera. Los líderes superan a los empleados en todas las mediciones: el 67% está familiarizado con los agentes (frente al 40% de los empleados) y el 79% cree que la IA acelerará sus carreras (frente al 67%). Pero este cambio no se detendrá en la cima. A medida que los agentes se integran en el trabajo diario, los roles en todos los niveles y funciones evolucionarán, junto con la fuerza laboral en general. Mientras que el 33% de los líderes consideran reducir su plantilla, el 78% considera contratar para nuevos puestos de IA. Y el 83% dice que la IA permitirá a los empleados asumir trabajos más complejos y estratégicos en una etapa más temprana de sus carreras.

Este cambio es multifacético: cada industria y función evolucionará de manera diferente a medida que la tecnología se difunda en las empresas y la sociedad. Al igual que la era de Internet creó miles de millones de nuevos puestos de trabajo en el conocimiento, desde administradores de redes sociales hasta diseñadores de UX, la era de la IA ya ha comenzado a dar lugar a nuevos roles, con muchos más por venir. Prepararse para lo que viene ya no es opcional. Los empleados deben desarrollar habilidades de IA y las empresas deben apoyarlos con las herramientas y la capacitación adecuadas. Este momento requiere conversaciones honestas, comunicación intencional e inversión real en reciclaje profesional. Las empresas que invierten ahora no solo se mantendrán al día, sino que darán forma a lo que venga después.

Copilot es la nueva interfaz de usuario para la IA

Hoy anunciamos el lanzamiento de Microsoft 365 Copilot Wave 2 Spring, diseñado para impulsar la próxima era de colaboración entre humanos y agentes. La aplicación Microsoft 365 Copilot es ahora su ventana al mundo de los agentes, con nuevas capacidades para esta siguiente fase, impulsadas por modelos más avanzados, memoria adaptable y agentes de razonamiento que trabajan junto a ustedes. Las actualizaciones incluyen:

  • Agentes de investigación y analistas impulsados por los modelos de razonamiento profundo de OpenAI que se implementan para los clientes a través del programa Frontier, y con nuestra nueva Tienda de agentes, ustedes pueden encontrar, anclar y usar con facilidad agentes, de socios como Jira, Monday.com y Miro, o sus propios agentes personalizados.
  • Create pone a trabajar el generador de imágenes de IA GPT-4o de OpenAI, para desbloquear las habilidades de diseño y creación de contenido para todos. Modifiquen o personalicen con facilidad las imágenes de marca o generen imágenes de IA alineadas con las directrices de marca aprobadas por su empresa y creen de todo, desde textos de marketing y activos sociales hasta banners de boletines informativos, vídeos y mucho más.
  • Copilot Notebooks transforma sus notas, documentos y datos en información y acciones inmediatas. Al conectar Copilot a un bloc de notas que contiene chats, archivos, grabaciones de reuniones y mucho más específicos, puede centrarse en la información más relevante, todo ello mientras escanea de manera constante el material de origen para actualizarlo en tiempo real a medida que evolucionan los datos. Los blocs de notas pueden incluso crear una descripción general de audio de su contenido con dos anfitriones que lo guían a través de los puntos clave, una forma divertida y flexible de mantenerse informado.
  • Copilot Search es una nueva búsqueda empresarial impulsada por IA que los ayuda a encontrar lo que necesitan al instante con respuestas enriquecidas y contextuales de todas las aplicaciones y datos de su organización. Se conecta a aplicaciones propias y de terceros, desde ServiceNow hasta Google Drive, Slack, Confluence, Jira y más, para que obtengan resultados rápidos y relevantes en el trabajo, sin importar dónde residan sus datos.
  • Las nuevas capacidades del sistema de control Copilot permiten a los profesionales de TI habilitar, deshabilitar o bloquear agentes para usuarios o grupos específicos, para ayudar a garantizar que las personas adecuadas utilicen los agentes correctos.

2025 será recordado como el año en que nació Frontier Firm, el momento en que las empresas fueron más allá de experimentar con la IA y comenzaron a reconstruirse en torno a ella. Al igual que las empresas nativas digitales de hace una generación, comprenden el poder de combinar la visión humana insustituible con la IA y los agentes para desbloquear un valor descomunal. Damos a los clientes la información para anticipar lo que está por venir, y la tecnología para ayudar a darle forma.

Lean el Índice anual de tendencias laborales en WorkLab y visiten el blog de Microsoft 365 para obtener más información sobre nuestros anuncios de productos. Conozcan lo que significan los hallazgos del Índice de Tendencias Laborales de este año para las pequeñas y medianas empresas.

Para todos los blogs, videos y activos relacionados con el anuncio de hoy, visiten nuestro micrositio.

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AWS Backup adds support for search and item-level recovery in 4 additional AWS Regions

Today, AWS Backup announces support for search and item-level recovery for Amazon EBS Snapshots and Amazon S3 backups in 4 additional Regions. This capability allows you to search the metadata of your backups for specific files or objects across your backups and recover up to 5 items at a time, allowing for faster recovery times.

AWS Backup support for search and item-level recovery for Amazon EBS Snapshots and Amazon S3 backups is added in the following Regions: Asia Pacific (Thailand), Mexico (Central), and AWS GovCloud (US-East, US-West).

To learn more about AWS Backup support for search and item-level recovery, visit the AWS Backup product pagetechnical documentation, launch blog, and pricing page. For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.

 

​Today, AWS Backup announces support for search and item-level recovery for Amazon EBS Snapshots and Amazon S3 backups in 4 additional Regions. This capability allows you to search the metadata of your backups for specific files or objects across your backups and recover up to 5 items at a time, allowing for faster recovery times. AWS Backup support for search and item-level recovery for Amazon EBS Snapshots and Amazon S3 backups is added in the following Regions: Asia Pacific (Thailand), Mexico (Central), and AWS GovCloud (US-East, US-West). To learn more about AWS Backup support for search and item-level recovery, visit the AWS Backup product page, technical documentation, launch blog, and pricing page. For more information on the AWS Backup features available across AWS Regions, see AWS Backup documentation. To get started, visit the AWS Backup console.  

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Announcing Serverless Reservations, a new discounted pricing option for Amazon Redshift Serverless

Amazon Redshift now offers Serverless Reservations for Amazon Redshift Serverless, a new discounted pricing option that helps you save up to 24% and gain greater cost predictability for your analytics workloads. With Serverless Reservations, you can commit to a specific number of Redshift Processing Units (RPUs) for a one-year term, and choose between two payment options: a no-upfront option that provides a 20% discount off on-demand rates, or an all-upfront option that provides a 24% discount.

Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage clusters with a pay-as-you-go pricing model. Now with Serverless Reservations, you can further optimize your compute costs and improve cost predictability of existing and new workloads on Amazon Redshift Serverless. Serverless Reservations are managed at the AWS payer account level and can be shared between multiple AWS accounts, and lets you reduce your compute costs by up to 24% on all Amazon Redshift Serverless workloads in your AWS account. Serverless Reservations are billed hourly and metered per second, offering a consistent billing model (24 hours a day, seven days a week) while maintaining flexibility offered by Amazon Redshift Serverless. Any usage exceeding the specified RPU level is charged at standard on-demand rates. You can purchase Serverless Reservations via the Amazon Redshift console or by invoking the Serverless Reservations API “create-reservation”.

Serverless reservations are available in all regions where Amazon Redshift Serverless is currently available. To learn more about the Amazon Redshift Serverless pricing options, please refer to the Serverless feature page, Redshift Pricing Site, or documentation.

 

​Amazon Redshift now offers Serverless Reservations for Amazon Redshift Serverless, a new discounted pricing option that helps you save up to 24% and gain greater cost predictability for your analytics workloads. With Serverless Reservations, you can commit to a specific number of Redshift Processing Units (RPUs) for a one-year term, and choose between two payment options: a no-upfront option that provides a 20% discount off on-demand rates, or an all-upfront option that provides a 24% discount. Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage clusters with a pay-as-you-go pricing model. Now with Serverless Reservations, you can further optimize your compute costs and improve cost predictability of existing and new workloads on Amazon Redshift Serverless. Serverless Reservations are managed at the AWS payer account level and can be shared between multiple AWS accounts, and lets you reduce your compute costs by up to 24% on all Amazon Redshift Serverless workloads in your AWS account. Serverless Reservations are billed hourly and metered per second, offering a consistent billing model (24 hours a day, seven days a week) while maintaining flexibility offered by Amazon Redshift Serverless. Any usage exceeding the specified RPU level is charged at standard on-demand rates. You can purchase Serverless Reservations via the Amazon Redshift console or by invoking the Serverless Reservations API “create-reservation”. Serverless reservations are available in all regions where Amazon Redshift Serverless is currently available. To learn more about the Amazon Redshift Serverless pricing options, please refer to the Serverless feature page, Redshift Pricing Site, or documentation.  

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Introducing a guided visual pipeline builder for Amazon OpenSearch Ingestion

Today, we’re announcing a new visual user interface for creating and editing Amazon OpenSearch Ingestion pipelines on the AWS console. This enhancement introduces a guided visual workflow, automatic permission creation, and enhanced real-time validations to streamline the pipeline development process. The new workflow simplifies pipeline development, reducing setup time and minimizing errors, making it easier to ingest, transform, and route data to Amazon OpenSearch Service. 

The guided visual workflow enables customers to quickly build and modify Amazon OpenSearch Ingestion pipelines without manually writing pipeline configurations. The new UI auto-discovers sources and sinks to eliminate context switching and streamlines the construction of intricate processor chains in a pipeline. With automatic permission creation, customers no longer need to manually create separate IAM policies and can use the automatically created unified IAM role for all their sources and sinks. Finally, with enhanced real-time validations, customers can detect runtime errors ahead of time, reducing debugging efforts and improving operational efficiency for smoother deployments.

This feature is available in all the 16 AWS commercial regions where Amazon OpenSearch Ingestion is currently available: US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California), Europe (Ireland), Europe (London), Europe (Frankfurt), Europe (Spain), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Seoul), Canada (Central), South America (Sao Paulo), and Europe (Stockholm).

To learn more about this feature, see the Amazon OpenSearch Service Developer Guide and the launch blog.

 

​Today, we’re announcing a new visual user interface for creating and editing Amazon OpenSearch Ingestion pipelines on the AWS console. This enhancement introduces a guided visual workflow, automatic permission creation, and enhanced real-time validations to streamline the pipeline development process. The new workflow simplifies pipeline development, reducing setup time and minimizing errors, making it easier to ingest, transform, and route data to Amazon OpenSearch Service. 
The guided visual workflow enables customers to quickly build and modify Amazon OpenSearch Ingestion pipelines without manually writing pipeline configurations. The new UI auto-discovers sources and sinks to eliminate context switching and streamlines the construction of intricate processor chains in a pipeline. With automatic permission creation, customers no longer need to manually create separate IAM policies and can use the automatically created unified IAM role for all their sources and sinks. Finally, with enhanced real-time validations, customers can detect runtime errors ahead of time, reducing debugging efforts and improving operational efficiency for smoother deployments.
This feature is available in all the 16 AWS commercial regions where Amazon OpenSearch Ingestion is currently available: US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California), Europe (Ireland), Europe (London), Europe (Frankfurt), Europe (Spain), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Seoul), Canada (Central), South America (Sao Paulo), and Europe (Stockholm).
To learn more about this feature, see the Amazon OpenSearch Service Developer Guide and the launch blog.  

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AWS Deadline Cloud now provides a macOS installer for submitters

AWS Deadline Cloud now provides a macOS installer for integrated submitters for Autodesk Maya, Blender, Keyshot, Maxon Cinema 4D, and SideFx Houdini. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design.

The new installer makes it easy to get all your artists, across Linux, Windows, and macOS, submitting to your Deadline Cloud farm from within their favorite digital content creation tools. The Deadline Cloud installer also allows you to script silent installations to simplify workstation setup and maintenance.

For more information, please visit the Deadline Cloud product page and our AWS Deadline Cloud documentation.

 

​AWS Deadline Cloud now provides a macOS installer for integrated submitters for Autodesk Maya, Blender, Keyshot, Maxon Cinema 4D, and SideFx Houdini. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. The new installer makes it easy to get all your artists, across Linux, Windows, and macOS, submitting to your Deadline Cloud farm from within their favorite digital content creation tools. The Deadline Cloud installer also allows you to script silent installations to simplify workstation setup and maintenance. For more information, please visit the Deadline Cloud product page and our AWS Deadline Cloud documentation.  

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Amazon EBS now supports additional resource-level permissions for copying EBS snapshots

Amazon Elastic Block Store (Amazon EBS) now supports additional resource-level permissions for copying EBS snapshots. When moving your data across Regions, accounts, and Availability Zones, you can copy any snapshot accessible to you to another Region or account, including snapshots created by you or shared with you. With this launch, you have more granular controls to set resource-level permissions for the snapshot copy and selection of the source snapshot. This allows you to control the IAM identities that can copy EBS snapshot from source snapshots, and the conditions that they can use these source snapshots for the snapshot copy operation.

To meet your specific permission needs on the source snapshots, you can also specify any of 6 EC2-specific condition keys for your CopySnapshot action in your IAM policy: ec2:Encrypted, ec2:VolumeSize, ec2:Owner, ec2:ParentVolume, ec2:SnapshotTime, and ec2:ParentSnapshot. Additionally, you can use global condition keys for the source snapshot.

This new resource-level permission model is available in all AWS Regions where EBS snapshots are available. To learn more about using resource-level permissions to copy EBS snapshot, or transitioning to the new resource-level permission model from previous permission model, please visit the launch blog. For more information about Amazon EBS, please visit the product page.

 

​Amazon Elastic Block Store (Amazon EBS) now supports additional resource-level permissions for copying EBS snapshots. When moving your data across Regions, accounts, and Availability Zones, you can copy any snapshot accessible to you to another Region or account, including snapshots created by you or shared with you. With this launch, you have more granular controls to set resource-level permissions for the snapshot copy and selection of the source snapshot. This allows you to control the IAM identities that can copy EBS snapshot from source snapshots, and the conditions that they can use these source snapshots for the snapshot copy operation. To meet your specific permission needs on the source snapshots, you can also specify any of 6 EC2-specific condition keys for your CopySnapshot action in your IAM policy: ec2:Encrypted, ec2:VolumeSize, ec2:Owner, ec2:ParentVolume, ec2:SnapshotTime, and ec2:ParentSnapshot. Additionally, you can use global condition keys for the source snapshot. This new resource-level permission model is available in all AWS Regions where EBS snapshots are available. To learn more about using resource-level permissions to copy EBS snapshot, or transitioning to the new resource-level permission model from previous permission model, please visit the launch blog. For more information about Amazon EBS, please visit the product page.  

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Amazon Cognito now supports refresh token rotation

Amazon Cognito announces support for OAuth 2.0 refresh token rotation for user pool clients. Refresh tokens are long-lived tokens that allow applications to obtain new access tokens without requiring users to sign in again. With refresh token rotation, you can now configure your user pool clients to automatically replace existing refresh tokens with new ones at regular intervals, which in turn can strengthen your application’s security posture. Instead of previously relying on tokens that remain valid for long periods of time, refresh token rotation reduces the window a compromised refresh token could be used. In addition, refresh token rotates automatically in the background allowing your users maintain uninterrupted access without needing to re-authenticate.

In absence of refresh token rotation, customers previously had to choose between long-lived tokens for minimizing user friction caused by re-authentication or short-lived tokens for better protection against risks from compromised tokens. Now, with refresh token rotation, customers can achieve seamless user experience while strengthening their application’s security posture by automatically updating user’s refresh tokens. For example, in a collaboration app, while users remain logged in for their 30-day session, their refresh tokens can be updated every few hours upon exchanging for new access and ID tokens, limiting the exposure window of any single token.

This feature is available to Amazon Cognito customers using the Essentials or Plus tiers in AWS Regions where Cognito is available, including the AWS GovCloud (US) Regions. To learn more, visit the Cognito Refresh Token Developer Guide.
 

 

​Amazon Cognito announces support for OAuth 2.0 refresh token rotation for user pool clients. Refresh tokens are long-lived tokens that allow applications to obtain new access tokens without requiring users to sign in again. With refresh token rotation, you can now configure your user pool clients to automatically replace existing refresh tokens with new ones at regular intervals, which in turn can strengthen your application’s security posture. Instead of previously relying on tokens that remain valid for long periods of time, refresh token rotation reduces the window a compromised refresh token could be used. In addition, refresh token rotates automatically in the background allowing your users maintain uninterrupted access without needing to re-authenticate. In absence of refresh token rotation, customers previously had to choose between long-lived tokens for minimizing user friction caused by re-authentication or short-lived tokens for better protection against risks from compromised tokens. Now, with refresh token rotation, customers can achieve seamless user experience while strengthening their application’s security posture by automatically updating user’s refresh tokens. For example, in a collaboration app, while users remain logged in for their 30-day session, their refresh tokens can be updated every few hours upon exchanging for new access and ID tokens, limiting the exposure window of any single token. This feature is available to Amazon Cognito customers using the Essentials or Plus tiers in AWS Regions where Cognito is available, including the AWS GovCloud (US) Regions. To learn more, visit the Cognito Refresh Token Developer Guide.    

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Amazon Bedrock Intelligent Prompt Routing is now generally available

Amazon Bedrock Intelligent Prompt Routing routes prompts to different foundation models within a model family, helping you optimize for quality of responses and cost. Beginning today, Intelligent Prompt routing is generally available and adds increased configurability, allowing you to configure your router by choosing any two models from a model family and setting the routing criteria for your router. Intelligent Prompt Routing also adds support for new models and now supports the following models:

    • Anthropic’s Claude family: Haiku, Haiku 3.5, Claude Sonnet 3.5 v1, Claude Sonnet 3.5 v2
    • Meta Llama family: Llama 3.1 8B, 70B, 3.2 11B, 90B and 3.3 70B
    • Amazon Nova family: Nova Pro and Nova Lite

Learn more in our documentation, blog, and pricing page.

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI capabilities built in.

 

​Amazon Bedrock Intelligent Prompt Routing routes prompts to different foundation models within a model family, helping you optimize for quality of responses and cost. Beginning today, Intelligent Prompt routing is generally available and adds increased configurability, allowing you to configure your router by choosing any two models from a model family and setting the routing criteria for your router. Intelligent Prompt Routing also adds support for new models and now supports the following models:

Anthropic’s Claude family: Haiku, Haiku 3.5, Claude Sonnet 3.5 v1, Claude Sonnet 3.5 v2
Meta Llama family: Llama 3.1 8B, 70B, 3.2 11B, 90B and 3.3 70B
Amazon Nova family: Nova Pro and Nova Lite

Learn more in our documentation, blog, and pricing page. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI capabilities built in.  

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AWS Transfer Family introduces Terraform module for deploying SFTP server endpoints

AWS Transfer Family introduces a Terraform module for deploying managed file transfer (MFT) server endpoints backed by Amazon S3. This enables you to leverage Infrastructure as Code (IaC) to automate and streamline centralized provisioning of MFT servers and users at scale.

AWS Transfer Family provides fully-managed file transfers over SFTP, AS2, FTPS, FTP, and web browser-based interfaces directly into and out of AWS storage services. Using the Terraform module, you can programmatically provision your Transfer Family server endpoints, associated dependencies and customizations in a single deployment. This eliminates time-consuming manual configurations and ensures you maintain consistent, secure implementations that can rapidly scale across departments. The new module provides end-to-end examples to create an SFTP endpoint, integrate with AWS CloudWatch for logging and monitoring, manage user identities for endpoint access, and configure IAM roles for access to S3 buckets where files are stored.

Customers can get started by downloading the Terraform module source code on GitHub. To learn more about Transfer Family, visit the product page and user-guide. To see all the regions where Transfer Family is available, visit the AWS Region table.
 

 

​AWS Transfer Family introduces a Terraform module for deploying managed file transfer (MFT) server endpoints backed by Amazon S3. This enables you to leverage Infrastructure as Code (IaC) to automate and streamline centralized provisioning of MFT servers and users at scale. AWS Transfer Family provides fully-managed file transfers over SFTP, AS2, FTPS, FTP, and web browser-based interfaces directly into and out of AWS storage services. Using the Terraform module, you can programmatically provision your Transfer Family server endpoints, associated dependencies and customizations in a single deployment. This eliminates time-consuming manual configurations and ensures you maintain consistent, secure implementations that can rapidly scale across departments. The new module provides end-to-end examples to create an SFTP endpoint, integrate with AWS CloudWatch for logging and monitoring, manage user identities for endpoint access, and configure IAM roles for access to S3 buckets where files are stored. Customers can get started by downloading the Terraform module source code on GitHub. To learn more about Transfer Family, visit the product page and user-guide. To see all the regions where Transfer Family is available, visit the AWS Region table.    

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Amazon EC2 R7gd instances are now available in additional AWS Regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in Europe (London) and Asia Pacific (Hyderabad, Osaka) Regions.

R7gd are powered by AWS Graviton3 processors with DDR5 memory are built on the AWS Nitro System. They are ideal for memory-intensive workloads such as open-source databases, in-memory caches, and real-time big data analytics and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. Graviton3-based instances also use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud.

To learn more, see Amazon R7gd Instances. To get started, see the AWS Management Console.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in Europe (London) and Asia Pacific (Hyderabad, Osaka) Regions. R7gd are powered by AWS Graviton3 processors with DDR5 memory are built on the AWS Nitro System. They are ideal for memory-intensive workloads such as open-source databases, in-memory caches, and real-time big data analytics and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. Graviton3-based instances also use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud. To learn more, see Amazon R7gd Instances. To get started, see the AWS Management Console.