Organizations continue to invest heavily in the cloud, with IT leaders reporting that 26% of their IT budget will be allocated to cloud computing within the next year, according to the 2026 Foundry Cloud Computing Study.
Organizations continue to invest heavily in the cloud, with IT leaders reporting that 26% of their IT budget will be allocated to cloud computing within the next year, according to the 2026 Foundry Cloud Computing Study.
The survey also found that 74% of IT leaders have accelerated cloud migrations in the past 12 months compared to 70% in 2025 and 63% in 2024. Three in four (73%) also said cloud capabilities have helped their organizations achieve “increased and sustainable revenue over the past 12 months.” Overwhelmingly, 80% of respondents from North America and APAC noted that their cloud strategies have helped accelerate the adoption of AI, while that number drops to 68% for the EMEA region.
This growth in cloud adoption, along with accelerated interest in AI, has sparked an increased demand for certain cloud roles. Here are the roles companies are most likely to have added to support their cloud investments, according to Foundry’s research.
And for those looking to break into this lucrative IT pathway, see “Where to begin a cloud career” and “18 best entry-level IT certifications to launch your career,” which includes several good cloud-related credentials to get started with.
The role of AI/ML engineer is in high demand as organization expand their AI strategies. These professionals design and implement AI and machine learning systems, overseeing them in operation to identify opportunities for improvement, ways to better automate processes, and how to better inform decision-making across the organization.
Skills: Skills for this role include programming, knowledge of machine learning, data science, data engineering, and experience building AI systems using APIs. See also: “The hidden skills behind the AI engineer.”
In context
- Topic: Cloud y Arquitectura — Nube pública, híbrida, costos y decisiones de infraestructura.
- Source: CIO
- Published: 27/08/2026
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Why it matters
The cloud conversation moved from migrate everything to deciding what goes where. That maturity is a good sign, but it also makes the discussion harder: there is no single answer any more, it has to be argued case by case, and very few people have the numbers to do it.
My reading goes through who sees the bill. In organisations where cloud cost reaches the team that generates it, spend organises itself. Where only finance sees the bill, spend grows and the discussion becomes a blind cut every year end.
What usually goes wrong
The mistake that repeats is not sizing egress traffic. The numbers get done on compute and storage, which are the visible ones, and the surprise arrives with data transfer. It is the line on the bill I have most often seen dismantle a well-built business case.
What to watch
- Where the data physically sits and what local regulation demands about that.
- What happens when the provider has an outage, because it will, and what keeps running meanwhile.
- Three-year total cost with real growth, not the first-year promotion.
How I read this entry
What I would install alongside any move to the cloud is the discipline of switching things off. Tag everything by owner, review monthly what is running unused, and give somebody the authority to turn it off. Without that, waste eats the promised savings within two years.
This entry is an excerpt from the original source, selected by the site radar. The commentary above is the site's own and does not belong to the cited publisher.
Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
