Brian Hopkins on Muck Rack

Brian Hopkins

San Diego
As seen in: Forrester Research, ZDNet, Computerworld, CIO, ForresterBlog, The Code Project, Forrester Blog, Silicon Republic, Data Center Knowledge, IT News Africa, KL Gates and
Brian Hopkins is a VP and Principal Analyst for Forrester Research. He covers emerging technology and trends, big data and quantum computing for CIOs.
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Articles

The State Of Agentic AI In 2026: Companies Are Chasing, Few Are Catching

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By Brian Hopkins
| ForresterBlog
Three-quarters of enterprise leaders tell us they’re adopting agentic AI. Only a small minority have it running in meaningful production beyond “agentish” chatbots and true scaled multiagent systems are rarer still. That’s the gap between the chase and the catch, and it’s the story of 2026. The technology is a runaway train. The enterprise is the heavy load it has to pull.
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BNY Built Its Digital Workforce Backward — And It’s Working

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By Brian Hopkins
| ForresterBlog
Most banks racing toward agentic AI are about to learn an expensive lesson. You don’t start with the bots. BNY didn’t. The first global systemically important bank (G-SIB) to publicly deploy what it calls “digital employees” — AI agents with logins, email addresses, and human managers — built its agentic future in the most counterintuitive order possible. Platform first. People second. Automation last. It’s working. BNY has more than 130 digital employees in production, up from 70 less than a year ago.
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The Real AI ROI Problem Isn’t Technology — It’s Measurement

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By Brian Hopkins
| ForresterBlog
AI investment is accelerating faster than enterprises’ confidence in its returns. Boards want clarity. CFOs want numbers they can defend. Technology leaders want to scale what works. Yet many AI conversations still end the same way: “We know it’s valuable — we just can’t prove it.” That disconnect isn’t caused by weak models or immature platforms. It’s caused by outdated ways of measuring value. AI’s ROI problem is not a technology problem. It’s a measurement problem.
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