Question 1

Why are leaders rethinking cloud first strategies for AI driven workloads?

Accepted Answer

As AI moves into live transaction paths, the cost of failure rises sharply. 72% of organizations experienced higher than expected cloud production costs, and nearly three quarters of executives are moving away from cloud first defaults toward outcome based workload placement. When execution, economics, and trust must hold at the same time, cloud centric architectures often struggle to deliver predictable performance and governance at scale.

Question 2

What role does the mainframe play in the AI era?

Accepted Answer

The mainframe is evolving from a system of record into a system of intelligent execution. 75% of executives expect mainframe based applications to remain central to digital transformation, and 60% say they are essential to enabling AI innovation. Its advantage lies in embedding AI directly into transactions while sustaining reliability, auditability, and performance under continuous load.

Question 3

How do mainframes compare with public cloud on economics at scale?

Accepted Answer

Cloud economics often look attractive in pilots but become volatile in production. Executives report public cloud costs averaging a mean of 1.5 times initial expectations, with 72% exceeding forecasts once workloads reach production. In contrast, organizations rate the mainframe higher on cost per transaction, cost predictability, and total cost of ownership, driving 73% to plan, attempt, or complete workload repatriation from public cloud to on-prem or private cloud environments.

Question 4

Why is hybrid architecture becoming the dominant model—and why anchor it on the mainframe?

Accepted Answer

Nearly half of executives say hybrid architectures deliver the best overall outcomes for mission critical transactional applications. The research shows organizations increasingly anchor execution on the mainframe for predictability and control, while using cloud environments closer to the edge for flexibility and innovation. Among single platform options, the mainframe is preferred nearly five to one over public cloud alone for critical transactions.

Question 5

How does the mainframe strengthen trust, governance, and data sovereignty for AI?

Accepted Answer

When AI operates inside regulated, customer facing transactions, governance cannot be added later. Executives increasingly prefer to keep AI close to core systems, rising from 21% today to 38% preferred. Mainframes are valued because they keep control, auditability, and accountability built into execution, helping organizations meet regulatory and sovereignty requirements as AI scales.

The mainframe advantage

As AI scales into production, enterprises are re‑evaluating where their most critical workloads should run—and realizing that the mainframe is central to an AI-powered future.

As AI scales into production, enterprises are re‑evaluating where their most critical workloads should run—and realizing that the mainframe is central to an AI-powered future.

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