AI agents are compounding a debt no one owns

Speed-to-market dominates enterprise AI priorities in 2026. Beyond upfront resourcing costs of prioritizing speed, organizations face a more insidious risk:  the compounding cost of ungoverned AI. In November 2019, a tech entrepreneur signing up for the newly launched Apple Card publicly complained that he received a credit limit 20 times higher than his wife’s, despite…

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AI agents are turning data silos into an existential infrastructure problem

Enterprises have built their data systems for humans, but AI agents need a whole new infrastructure. Separate research from Cloudera and Google/MIT found that, not surprisingly, there is fervent enterprise interest in AI agents, but underlying infrastructure struggles to keep up. Deployments continue to be hampered, sometimes even abandoned, largely due to issues with data…

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Don’t let AI negotiate with reality

We are all transforming now. Some companies have formally named transformation programs. Others are being transformed by a new regulation, an AI mandate, a cyber event, a weather disruption, a change in customer behavior, a competitor’s move or an urgent demand to reduce costs. The label is almost beside the point. The operating assumptions keep…

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What successful AI centers of excellence actually do: Lessons from real enterprise implementations

Most articles about AI Centers of Excellence (CoEs) focus heavily on organizational structures, steering committees and high-level governance models.  They explain why enterprises need an AI CoE, but they rarely address the far more difficult challenge of how successful organizations operationalize AI at enterprise scale.  In practice, many of these discussions remain theoretical, emphasizing aspirational…

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