AI

Why Hiring ‘AI Engineers’ Won’t Work

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The article argues that the role of an “AI engineer” is a myth because AI work encompasses diverse functions requiring different skills and mindsets. It outlines three essential AI engineering archetypes—prototypers, builders, and scalers—each focusing on distinct phases from rapid experimentation to production scaling, and emphasizes the need for companies to hire and assess talent based on these specific roles rather than expecting a single person to cover all AI responsibilities. This nuanced understanding is crucial for enterprises to build effective AI teams and avoid costly mismatches.

https://www.cio.com/article/4162080/why-hiring-ai-engineers-wont-work.html

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

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/

How 1Password CIO Jacob DePriest Thinks About Approving Internal AI Tools

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1Password CIO and CISO Jacob DePriest emphasizes the need for faster evaluation and approval processes for internal AI tools to keep up with AI-driven cyber threats. To manage the rising number of employee “citizen developers,” 1Password is implementing expedited, limited experiments for AI tools alongside thorough onboarding and security controls that limit access based on need, ensuring both innovation and security.

https://www.itbrew.com/stories/2026/04/20/how-1password-cio-jacob-depriest-thinks-about-approving-internal-ai-tools

AI Doesn’t Create ROI. Organizations Do.

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Despite clear evidence of AI delivering task-level productivity gains, most organizations struggle to translate these improvements into measurable financial returns at the enterprise level. The article argues that AI itself does not create ROI; instead, capturing value requires organizations to redesign their structures, decision-making, governance, and performance metrics to overcome legacy systems and misaligned incentives, making organizational readiness the true barrier to scaling AI impact.

https://www.cio.com/article/4159823/ai-doesnt-create-roi-organizations-do.html

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 Role of a New Machine

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In his 2026 reflection on Tracy Kidder’s Pulitzer-winning book The Soul of a New Machine, Dan Cohen draws parallels between the 1970s minicomputer revolution and today's AI hype. He highlights that just as the Eclipse MV/8000 transformed work by moving companies from paper to digital processing, current AI technology raises similar debates about its impact, purpose, and ethical concerns, emphasizing that both eras focus on creating tools to aid human work rather than imbuing machines with intelligence.

https://newsletter.dancohen.org/archive/the-role-of-a-new-machine/

AI Hit Software Engineers First. Here’s What They Want You to Know.

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Software engineers have experienced significant changes in their roles due to AI tools automating coding tasks, with these tools blurring traditional job boundaries and prompting a shift away from highly specialized roles. While repetitive jobs may be at risk of automation, AI is creating new opportunities and increasing demand for adaptable workers who can leverage the technology, signaling a transformation likely to affect many white-collar jobs.

https://www.businessinsider.com/software-engineers-lessons-white-collar-works-ai-disruption-2026-4

EU AI Act Shock: Emotion Recognition Is Now Illegal at Work. So Why Is Your Vendor Still Selling It?

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The EU AI Act, effective since February 2025, has made emotion recognition AI in the workplace illegal across the European Union, imposing fines up to €35 million or 7% of global turnover for violations. Despite this, many vendors continue to sell and deploy such technology unlawfully, risking significant penalties, while the law strictly prohibits AI systems that infer employee emotions from biometric data but allows text-only sentiment analysis. Organizations using UC, CX, or employee experience software in Europe are urged to urgently verify vendor compliance and disable prohibited features to avoid imminent enforcement actions.

https://www.uctoday.com/workplace-management/eu-ai-act-shock-emotion-recognition-is-now-illegal-at-work-so-why-is-your-vendor-still-selling-it/

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

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