Performance Magazine has released its newest print issue, and this time, it focuses on one of the most defining changes in today’s workplace: AI in strategy and performance. Performance Magazine Issue – Print Edition, Issue No. 33 (The AI Edition) explores how artificial intelligence is influencing not just tools and workflows but the deeper layers of how organizations plan, execute, and evaluate performance.

The cover story features Cassie Kozyrkov, Google’s first ever chief decision scientist. Rather than echoing the dominant automation narrative, Kozyrkov calls for a return to disciplined thinking. Her reflections point to a core concern in strategy work today: how to make better decisions, faster, with the support of AI—not at the cost of human oversight. She draws attention to the difference between replacing judgment and reinforcing it, which frames much of what the rest of the edition explores.

Among the features is a practical explainer on how machine learning works, covering its core structure, main types, and underlying learning processes. Another article offers historical context that traces how AI has developed over time, helping distinguish durable progress from hype.

One article takes a closer look at the role of AI in strategy and performance, showing how machine learning models are being used to assess current conditions, simulate future outcomes, and support strategic direction. It also explores how AI contributes to performance management by helping set more accurate targets, cascade KPIs across levels, and monitor progress with predictive insights.

Several articles explore how AI is embedded in the daily flow of work. These cover its integration into familiar tools and platforms, the rise of AI agents, and the increasing importance of prompt engineering as a technical skill. On the governance front, readers will find a scan of AI regulatory developments around the world, focusing on how companies are adjusting policies and compliance mechanisms to match legal expectations.

The Interviews section brings in a mix of technical, academic, and legal perspectives. Alongside Kozyrkov are voices like Tarry Singh, Professor J. Mark Bishop, Frank Naussbaum, and Dr. Jon Truby, who discuss the operational, ethical, and structural implications of adopting AI at scale.

Closing the edition is a contribution from guest editor Islam Salahuddin, a data consultant and facilitator at Systaems. He is certified as a data analyst and trainer by Microsoft and is currently pursuing a master’s degree in AI. In his essay, he explores how much of the confusion around AI stems from language itself. Even the term “AI” can mean entirely different things depending on background or experience. This confusion, he argues, is especially present in business conversations, where abstract terms often blur rather than clarify. 

Performance Magazine Issue – Print Edition, Issue No. 33 (The AI Edition) is now available as a free digital download via the TKI Marketplace. Print copies can be ordered through Amazon, with standard printing and shipping fees applied.