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Learn the 8 capabilities every CIO should evaluate to avoid engine overrev in enterprise AI adoption

A CIO's Guide to enabling secure enterprise AI adoption

The full research report breaks down all of the 2Q26 benchmarks (in comparison to 1Q 2026) — adoption and weekly usage, the app landscape (including how Microsoft Copilot, ChatGPT, and Claude are actually being used), the prompting-skill level, data-exposure trends, and the GenAI Effectiveness Index methodology — along with the productivity-first governance framework for closing the GenAI productivity gap.

Increased employee productivity is the promise of AI, but measuring it remains elusive. This article explains why effectiveness is a better metric than productivity and how organizations can turn AI usage data into improving GenAI outcomes.

Although GenAI adoption is growing, productivity impact remains limited. While 14% of employees use GenAI regularly, only 0.7% currently demonstrate the skill and frequency needed to drive meaningful productivity gains. The data underscores the importance of measuring GenAI usage, skill development, and business outcomes.

Short answer: If your organisation falls under NIS2, every generative AI tool your employees use is part of your regulatory risk surface. The single most important thing to know is what AI is being used and on which plan — because a personal or free GenAI account handles your data very differently from a business plan, and that difference can turn everyday productivity into a compliance gap.

Generative AI is accelerating faster than governance, leaving many organizations struggling to balance innovation with security. Join Northamber and NROC Security for a webinar that shows how productivity and safe GenAI use can go hand in hand.

Generative AI is no longer experimental. It is already part of everyday work in most organisations. The growing problem is – the guardrails and training needed to make GenAI safe are not keeping up.

Our updated CISO guide explains how traditional security architectures are challenged by this new breed of business software and the best practices CISOs can implement. This guide enables CISOs to mitigate the risk of data leaks, prevent compliance violations, provide a great end user experience, and contribute to the overall business goal of driving personal productivity using GenAI.