leadership

Why a ‘Risk Position’ Should Be The Next Big Thing In Business Leadership

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Dr Emma Soane argues that an organization's “risk position”—its intentional stance on risk-taking and management—should be regarded as fundamental as its strategy, culture, and leadership. Highlighting examples like Netflix and The Royal Mint, she explains that a clear risk position enables organizations to align risk with strategic goals, foster open risk dialogue, and move beyond viewing risk solely as a compliance issue or threat.

https://www.lse.ac.uk/study-at-lse/executive-education/insights/articles/why-a-risk-position-should-be-the-next-big-thing-in-business-leadership

Building an AI-Positive Work Culture

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Employer encouragement is the strongest predictor of AI adoption in the workplace, surpassing training and tool provision. To build an AI-positive culture, design leaders should grant clear permission for AI use, lead by example, and prioritize access to tools over training. Creating space for experimentation and allowing AI integration to emerge organically will foster innovation and adaptation.

https://jakobnielsenphd.substack.com/p/ai-work-culture

What It Actually Takes to Build a Security Team That Works

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In March 2026, six security leaders discussed on Reddit the key elements of building effective security teams, emphasizing the importance of fostering a collaborative culture where security is seen as a resource rather than a roadblock. They highlighted strategies such as positioning security as the “department of engagement,” making secure practices easy through platform-based models, hiring thoughtfully with a focus on culture fit, and ensuring smaller teams and vendors build trust through documented processes and demonstrated maturity.

https://cisoseries.com/what-it-actually-takes-to-build-a-security-team-that-works/

The 3 Trials of Leadership in the Age of AI

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The article discusses three significant leadership challenges presented by the rise of AI in the workplace: the Leadership Trial of Identity, which requires leaders to prioritize soft skills like empathy and creativity over traditional hard skills; the Leadership Trial of Technique, focusing on managing blended teams of humans and AI with new performance metrics and organizational designs; and the Leadership Trial of Governance, emphasizing the need for boards to develop balanced, AI-literate oversight amidst evolving risks. These trials call for a fundamental transformation in leadership approaches to successfully integrate AI into organizations.

https://hrexecutive.com/the-3-trials-of-leadership-in-the-age-of-ai/

The CISO Role Has Always Been Brutal. Here Is What Makes Some Survive It.

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Peter Liebert reflects on the challenging role of the Chief Information Security Officer (CISO), emphasizing that cybersecurity risks can be managed through people, processes, and technology but always involve residual risk based on an organization's risk appetite and resource allocation. He uses a restaurant menu analogy to illustrate how CISOs must offer informed risk options tailored to their leadership's preferences and priorities, highlighting that ultimate risk decisions rest with business leaders rather than CISOs themselves.

https://www.scworld.com/perspective/the-ciso-role-has-always-been-brutal-here-is-what-makes-some-survive-it

Why the CIO Is Uniquely Positioned to Lead the Digital Workforce

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In 2026, the CIO role has expanded from maintaining systems to leading the integration of advanced AI as a digital workforce within enterprises, driven by breakthroughs in AI accuracy and workflow capability. As AI increasingly performs structured cognitive work, CIOs are uniquely positioned to oversee its safe deployment, integration with core business systems, and transformation of workflows, thereby translating technological progress into measurable business advantages. This shift requires CIOs to manage AI as a workforce layer with accountability, governance, and cultural change, positioning them at the center of strategy, growth, and operational redesign.

https://www.cio.com/article/4160987/why-the-cio-is-uniquely-positioned-to-lead-the-digital-workforce.html

The Future of Work Isn’t Just AI — It’s How Leaders Make AI Humane

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The article discusses how the future of work is shaped not just by AI technology itself but by the way leaders implement AI humanely within their teams. It emphasizes the importance of honoring the human experience, integrating AI effectively into business operations, and keeping humans involved to maintain trust, standards, and accountability during AI adoption.

https://www.entrepreneur.com/leadership/the-future-of-work-isnt-ai-its-how-leaders-make-ai/503205

How CIOs Can Tackle AI Ownership

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As AI adoption accelerates, CIOs and other tech executives are increasingly responsible for leading AI strategy, governance, and ROI within organizations, shifting from a backroom role to a central position in identifying use cases and enabling adoption. They must also establish continuous and tailored AI governance frameworks rather than one-time audits, ensuring safe deployment amid rapidly evolving technologies and multiagent AI systems.

https://www.ciodive.com/news/cios-can-tackle-ai-ownership/817877/

CIOs Are Caught Between Employee AI Fatigue and Leadership Expectations

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CIOs face increasing pressure from corporate boards to rapidly implement AI and demonstrate immediate results, yet employees often experience AI fatigue due to the fast pace of change, added workflows, and frequent tool replacements. Successful AI integration requires rethinking workflows to embed AI seamlessly, balancing leadership expectations with employee realities, and managing the surge in AI tool requests while maintaining data governance and clear business objectives.

https://www.cio.com/article/4156028/cios-are-caught-between-employee-ai-fatigue-and-leadership-expectations.html

What It Really Takes to Build an AI-First Workforce

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In the Cisco blog post “What It Really Takes to Build an AI-First Workforce,” Adele Trombetta emphasizes that successful AI adoption is a workforce transformation led by people and leadership mindset rather than just technology. She outlines that leaders must foster a culture of curiosity and experimentation while measuring outcomes beyond productivity, and employees should focus AI usage on enhancing value in their specific roles. The article stresses that human judgment combined with AI capabilities is essential for meaningful business impact and long-term transformation.

https://blogs.cisco.com/customerexperience/what-it-really-takes-to-build-an-ai-first-workforce

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