The AI Implementation Report is a fortnightly newsletter for leaders navigating AI strategy. Each issue highlights the research, data and trends that matter most for implementation, not the hype, not the doom, just what's actually working and what isn't. Curated by Mark Phelps and Drew Horton. A Mark Phelps LLC production.
Last issue we looked at the productivity paradox: 80% of organizations reporting no ROI from AI while aggregate productivity climbs. The uncomfortable question was why. This issue is about what’s happening inside the organizations while the paradox plays out.
THE ONE TO READ
If you only read one AI implementation article before your next leadership meeting, make it this one.
Workers save 11 hours a week. Only 13% of their companies can tell.
Welcome to the Age of AI Sprawl — Amanda Hoover, Business Insider (Jun 2026) | FREE
Glean’s Work AI Institute surveyed 6,000 digital workers across the US, UK and Australia. The individual numbers sound great: people say AI saves them 11 hours a week on average, but only 13% of those same workers’ firms say the savings have “significantly improved” their company’s performance.
That’s not a rounding error. That’s a structural problem.
Rebecca Hinds, who runs Glean’s research, calls it the tragedy of the commons. Each person grabs the tool that makes their own day faster, and nobody considers the collective cost. Two salespeople burn through tokens building near-duplicate decks that they once would have built together. Teams stop collaborating because the chatbot is quicker than the colleague. Institutional knowledge that used to transfer through conversation now sits in prompt histories nobody else can see.
Lee Senderov at Travelport (which, for context, is a platform serving thousands of travel agencies globally) watched this play out in real time. In four days her team found a 160x disparity in AI usage across employees. Not a 2x gap or a 10x gap. A hundred and sixty times. Some people had essentially automated their workflows, others hadn’t touched it. And the company had no governance framework to tell whether either extreme was actually producing better outcomes.
We think that this is where most organizations are right now, whether they’ve acknowledged, measured or even realized it. Everyone got the tools, but nobody redesigned the coordination layer. The individual productivity gains are real, they’re just leaking out through the seams of workflows that were designed for humans collaborating with humans, not humans collaborating with seventeen different AI assistants.
The firms that closed the 5% gap from Issue #1 didn’t do it by handing everyone unlimited access and hoping for the best. They governed the sprawl first. That’s an unsexy sentence. But it’s probably the most expensive one to ignore.
ALSO ON OUR RADAR
The same challenges as above are playing out in three places: the budget collapse, the accountability gap, and the team structure nobody updated.
Tokenmaxxing Killed AI Budgets — What’s Replacing It — ByteIota (Jun 28, 2026) — Uber, Meta and Amazon all hit the wall in the same quarter. The autopsy is simple: 2x productivity, 10x cost. Turns out “we’re adopting AI” and “AI is working” are two completely different sentences. | FREE
2026 AI Impact Survey — Grant Thornton (Apr 30, 2026) — 3 in 4 organizations are running agentic AI without an incident response plan for when it fails. Most can’t show how decisions are made or who owns the outcome. The AI proof gap is the next big stumbling block. | FREE
AI in Design Report 2026: Teams — Designer Fund + Foundation Capital (May 2026) — 906 designers across 60+ countries confirm the same pattern: AI changed what everyone does and almost no organization has updated how teams are structured, evaluated or hired to match any of it. | FREE
PARTING THOUGHT
Eleven hours a week, per person, not showing up in the company’s numbers. The tools are working. The organization isn’t. That gap has a name now and it probably has a budget line in next quarter’s AI spend that nobody’s assigned yet.
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Published for AI implementation leaders in the US and UK.
Mark Phelps is the founder of Mark Phelps LLC, an AI implementation consulting practice and Fractional VP of Product Design service based in the Boston metro area, serving product, design and technology leaders in the US and UK. He brings more than 20 years of Fortune 100 experience at GE, Fidelity, TIAA, Bank of America and Marsh McLennan, and for the last three years has held fractional VP roles at Rockefeller Capital Management and See All AI. He holds a Stanford AI Certificate earned with Distinction and an MBA in Digital Strategy from Suffolk University (Beta Gamma Sigma). He is a named inventor on a pending design patent for an AI-powered intraoperative 3D surgical navigation UI and a United States Marine Corps veteran.
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