Two numbers from Deloitte's 2026 Global Technology Leadership Study made me write my latest piece for C-Suite Network.

81% of senior technology leaders report high confidence in their ability to scale AI.

42% report low or no ROI on their AI investments.

That 39-point gap is sitting in your CFO's reading stack right now, whether or not it has been named in your organization.

I wrote the piece because it has a precise name most technology leaders are missing. And because naming it is the first step toward closing it.

Strategic Latency

The distance between deploying an AI system and seeing it register on the P&L is not random. It is structural. I call it Strategic Latency, and it is not a technology problem. The tools are working. The deployments are running. The adoption metrics are climbing.

The problem sits one layer above the technology. That layer is what the article addresses.

The full piece goes into the specific mechanism that drives the gap, the three TIRA Pillars that close it at the executive level, and the standard a CFO needs before they can defend an AI allocation to an Audit Committee. It also includes three interventions that are executable in the current business cycle, not the next planning horizon.

I kept the diagnostic out of this issue deliberately. It is more useful as a complete argument than as a summary.

The Board is not anti-AI. The Board is anti-ambiguity. Governance-grade clarity is the price of executive trust.

If you are heading into a board review with an AI portfolio that cannot yet trace a straight line to a P&L number, this is worth 5 minutes before that conversation happens.

The Executive Tech Circle is where this work continues in real time, with peers navigating the same boardroom conversation.

Mahesh M. Thakur

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