Sometimes it’s those young people who don’t know technology…

When Insight Enterprises surveyed its developers on efficiency impacts from the company’s AI-powered coding options, Parker Johnston, agentic field CTO at the systems integrator, was surprised to learn that the older generation had a better handle on the emerging tech.

According to Johnston’s estimates, senior engineers reported an approximate 30% time savings thanks to AI coding help, compared to between 12% and 15% for their more junior colleagues.

Setting the stage. About a year and a half ago, Insight made GitHub Copilot in VS Code an internal agentic coding option for its team of around 600 developers. The company collected usage data through self-reported metrics, along with telemetry from GitHub and Azure DevOps.

“I was thinking senior folks might not have as much trust and confidence in AI, so they were just not going to use it,” Johnston said.

What happened next surprised him.—BH

It’s time to cut to commercial.

That’s the message from quantum computing advocates who believe the technology is ready to deploy for organizations and companies that need quantum capabilities. It’s a big step forward for computing—if it’s viable.

Two advocates for quantum, Toshiba VP of Business Development and Marketing Terry Cronin and Quantum Corridor Founder and CTO Ryan Lafler, told IT Brew recently that they believe the technology is ready for prime time.

“We have a number of problems—from logistic problems to healthcare problems, drug synthesis problems—that we can help solve due to the quantum compute platform that we have,” Lafler said. “We also have time clock synchronization that will be on the tip of the spear for defense use cases in the future: stealth detection systems, missile guidance systems, perfect clock synchronization across computers.”

Here’s how companies might unlock quantum potential.—EH

Somewhere out there, an IT professional is breaking into a cold sweat as they take an AI readiness assessment, anxious to see whether their organization can actually integrate the technology.

AI benchmarking assessments are all the rage these days. Large vendors like Cisco and Microsoft have released their own tools to help companies figure out their AI maturity level. And there may be good reason behind the hype: an MIT study found that 95% of generative AI pilots created zero return on investment (ROI). A company needs to know whether an expensive technology will truly pay off.

With all that in mind, we had one burning question: Are these tools as valuable as some people think? We dusted off our handy-dandy test-taking socks to find out.

Do these tools give IT pros what they need?—BM

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