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Questions behind the headlines.
How can leaders assess AI claims more carefully?
Separate the demonstrated capability from the marketing claim. Kashyap’s commentary on AI washing highlights why an AI label alone is insufficient evidence of a product’s value.
Scrutiny should extend to how a claimed capability will operate within a business. Governance processes need visibility into use, ownership and supporting controls, rather than relying on a product description. Kashyap’s governance-tools review helps frame the operational questions that sit behind broad claims of responsible enterprise AI. Read more about evaluating governance capabilities.
Why do AI governance discussions need more than a technical perspective?
Data, security, legal and business decisions interact. Kashyap’s writing emphasizes cross-functional governance because no single team sees or controls every relevant risk.
Consider the information that flows into and through the system. Unclear ownership and uncontrolled duplication can create cost and security exposure that a model specialist cannot resolve alone. Kashyap’s article on data sprawl explains why disciplined information management is an organizational concern. Read more about governance and data sprawl.
Will labels on AI-generated content solve the deepfake problem?
Labels can help, but they are insufficient on their own. Kashyap’s commentary calls for user education, technical standards and action by platforms alongside detection tools.
Technical controls also sit within a wider set of responsibilities concerning harmful content, privacy and reliable use. The value of a safeguard depends on how it is applied and what other risks remain. Kashyap’s responsible-strategy article places these issues in the broader context of generative AI adoption. Read more about responsible generative AI use.
What does the move from copilots to agents change?
It shifts attention from generated answers to delegated actions. Leaders need to understand execution costs as well as what an agent can do.
Management needs to follow that shift. Teams must decide which actions are permitted, monitor behavior and provide routes for intervention when execution goes wrong. Kashyap’s article on leading agentic teams examines the move from supervising individual tasks to overseeing systems and their effects. Read more about leading agentic teams.
Where can I find Kashyap’s work beyond enterprise AI?
His Public Intellectual columns explore wider questions in society and culture. The writing list also includes finance, sustainability and governance.
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