Cloud Challenges 2026: How Scalability, Costs, AI, and Security Shape Business Growth

In today’s episode of the “Business Tech Talks powered by BlueSoft” podcast, we discuss key takeaways from a conversation focused on cloud challenges for 2026 and the years ahead. The discussion highlights the evolution of the cloud—from a simple infrastructure layer to the “nervous system” of modern organizations. Experts from BlueSoft and AWS explain the differences between on-premise, public cloud, and hybrid cloud models, analyzing real drivers behind cloud adoption such as security, instant scalability, and the need to respond quickly to market changes.

The episode also addresses crucial topics including financial management through the FinOps approach, the shared responsibility model for data security, and the role of the cloud as a foundation for fully leveraging artificial intelligence at business scale. Below is a summary of the episode transcript.

What Is the Cloud and How Does It Differ from On-Premise?

The cloud is not just “servers on the internet,” but above all scalability, global reach, and access to advanced services such as AI and automation.

• Public cloud: Offers near-instant scalability—resources are available in minutes, not days.
• On-premise: A traditional, local data center, often mistakenly referred to as a private cloud.
• Hybrid cloud: A model in which a company combines local resources (e.g., due to regulatory requirements or proximity to a factory) with the power of a global cloud provider such as AWS.

Migration Drivers – Why and When Does It Make Sense?

Obecnie głównym motywem przenosin nie jest już tylko infrastruktura, Today, the primary motivation for moving to the cloud is no longer infrastructure alone, but security, speed of response to market changes, and access to modern tools. The cloud becomes the organization’s “nervous system,” enabling the processing of massive data volumes (petabytes) that on-premise environments cannot handle efficiently.

Any migration decision should always be based on a clear business case.

Data Security and Trust

Experts emphasize that the cloud is often more secure because hyperscalers like AWS invest in security at a level unattainable for individual companies. This is governed by the shared responsibility model: the provider secures the infrastructure (“the armored cabinet”), while the customer is responsible for access management and data configuration (“the keys to the cabinet”).

Costs: Cloud vs. On-Premise

Comparing costs on a simple “server-to-server” basis is misleading. In on-premise environments, companies often overlook costs such as cooling, maintenance, or electricity—the so-called tip of the iceberg.

The cloud introduces the FinOps approach, which enables:

• Precise tracking of costs at the level of individual applications.
• Cost optimization through alerts and automatic scaling down when resources are not in use.

Migration Process and the Cloud-Native Approach

Migration does not have to mean moving everything 1:1 (the so-called lift and shift). Instead, it is an opportunity to clean up the application portfolio and retire systems that no longer make business sense.

New applications should be built as cloud-native, designed from the ground up to leverage cloud capabilities such as containerization or serverless architectures.

Regulated Industries (Banking) and Data Localization

The financial sector is one of the fastest-moving industries when it comes to cloud adoption. To address concerns about data sovereignty:

• AWS offers a European Sovereign Cloud, operated exclusively by personnel holding EU passports.
• Organizations can use their own encryption keys, preventing cloud provider staff from accessing the data.
• AWS Outposts are available—dedicated cloud hardware installed physically in the customer’s data center in Poland.

The Relationship Between the Cloud and Artificial Intelligence (AI)

The cloud and AI are inseparable—the cloud is the only way to fully leverage AI at business scale. It provides:

• Ready-to-use business AI services and access to hundreds of models from around the world (e.g., OpenAI, Mistral, Poland’s Bielik) for testing and deployment.
• The ability to build custom models using massive GPU computing power.
• A practical recommendation from experts: implement AI where it genuinely solves a specific business problem, not “just for the sake of it.”

Summary

The key word of the entire discussion is opportunity. The cloud gives organizations of all sizes—from sole proprietorships to large enterprises—tools to control costs, increase security, and implement innovations that were once available only to technology leaders from Silicon Valley.