September 24, 2026

Thursday! Think you have plenty of time to get that AI plan in place? Think again—even C-suite executives are building out complex swarms of agents to carry out tasks.

In today’s edition:

🔥 Fail(over) safe

🪫 Overbuilt to last

⌨️ End of SaaS?

—Brianna Monsanto, Eoin Higgins

IT OPERATIONS

What’s the plan?

Two hands filling out a digital questionnaire.

Francis Scialabba

If your organization experienced a ransomware attack today, how long would it take to recover?

That answer is likely dependent on your IT disaster recovery (DR) plan, a formal document that details how an organization will restore IT infrastructure in the event of a disaster. In this context, such a catastrophe can be anything “where the technology interrupts the operations of the business,” according to Michael Sparks, principal cloud operations engineer at Nextworld.

“That could be something as simple as somebody trips over a cable in a data center,” Sparks said. “In large organizations, that could be a hurricane is bearing down on the East Coast, and a data center is about to get impacted.”

Prep for the worst.—BM

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IT STRATEGY

Power center

Anita Verma-Lallian/Arizona Land Consulting

Data center construction is a hot topic for the tech industry—and for energy interests.

One of the top concerns for builders and investors, as well as policymakers, is the risk of overbuilding. While we’re at a boom moment in the industry, is it possible that the infrastructure goes too hard, too fast?

Not so, according to a July McKinsey study, which argues that even if data center construction hits a wall or underdelivers, the power grid improvements and build-outs will still provide an overall benefit.

Data center operators prefer an onsite or hybrid approach to energy generation (20% and 45%, respectively), and project that, by 2030, 64% of energy will be gas-fueled, followed by 23% renewables and 13% nuclear.

Energy system.—EH

IT STRATEGY

SaaS-AI behavior

Karetoria/Getty Images

Do increases in AI capabilities spell the end of software-as-a-service?

That’s a question for IT pros who are struggling to figure out whether SaaS or AI works better for their tech stack, provided there’s room to cut one or the other. Those kinds of business decisions can be complicated; for many organizations, keeping both in the stack will likely continue for the foreseeable future.

AI solutions like vibe coding, which allow developers to develop internal custom solutions rather than relying on a third-party vendor’s software, have unsettled some of the traditional SaaS market. But, as COO at TieTechnology Mike Wehrs put it to IT Brew, vibing an app only works if it can reliably replace vendor software’s functionality.

“What’s the downside if this fails? If that entire vibe effort falls apart and doesn’t work, how bad is it going to be?” Wehrs asked. “If it’s really bad, it’s definitely shifting back to SaaS.”

Making moves.—EH

patch notes

Francis Scialabba

Today’s top IT reads.

Stat: 62%. That’s the percentage of respondents to a Korn Ferry survey who reported increased workloads over the past few years despite the introduction of AI tools. (the Wall Street Journal)

Quote: “We’re not going to have the same headcount in five years as we do today.”—AT&T CTO Jeremy Legg, on the company’s automated future (Wired)

Read: Greek Prime Minister takes unique approach to AI policy: admitting what he doesn’t know. (TechCrunch)

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Written by Brianna Monsanto and Eoin Higgins

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