technology

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/

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/

We’ve Been Here Before

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The article discusses how AI language models in the workplace are evolving into a new programmable medium akin to spreadsheets, enabling employees to create interactive, executable documents that blend software and text without needing formal programming skills. This shift is leading to more dynamic and flexible tools for business logic and decision-making, though it also introduces challenges like maintainability and security similar to those once faced with widespread spreadsheet use.

https://thejaymo.net/2026/04/16/weve-been-here-before/

Tech’s Acceleration Paves CIOs’ Path to the Corner Office

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As digital technology becomes integral to business operations, 67% of CIOs now aspire to become CEOs, leveraging their comprehensive understanding of enterprise processes and digital transformation leadership. Experienced CIOs who have transitioned to CEOs emphasize the importance of broad business acumen, delegation, entrepreneurial spirit, and strategic risk-taking to successfully lead organizations beyond IT functions, reflecting a growing trend of IT leaders advancing to top executive roles.

https://www.cio.com/article/4154281/techs-acceleration-paves-cios-path-to-the-corner-office.html

The AI Trap: Faster Solution, Same Problem

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In “The AI trap: Faster solution, same problem,” David Angelow explains that despite widespread AI adoption, many organizations see no measurable productivity gains because they automate existing complex or inefficient processes without simplifying them first. He argues that the key to AI delivering real value lies in redesigning and streamlining workflows before automation, emphasizing the long-standing principle that technology should accelerate well-designed processes rather than perpetuate waste.

https://www.cio.com/article/4154559/the-ai-trap-faster-solution-same-problem.html

7 Reasons IT Always Gets the Blame — and How IT Leaders Can Change That

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The article discusses seven key reasons why IT departments often become the scapegoat for business failures, including poor communication, mismatched goals, underinvestment, unclear ownership boundaries, and the perception of IT as a cost center rather than a strategic partner. It emphasizes that IT leaders can change this negative perception by improving communication with non-technical stakeholders, aligning IT with business strategy, promoting transparency, and reframing IT’s role as a proactive risk manager integral to business outcomes.

https://www.cio.com/article/4154273/7-reasons-it-always-gets-the-blame-and-how-it-leaders-can-change-that.html

Why ‘Need-to-Know’ Communication Fails Modern IT Teams

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Fredrik Hagstroem argues that “need-to-know” communication fails modern IT teams because withholding information constrains decision-making and trust. He emphasizes that clarity requires completeness and context rather than brevity, noting that modern complex IT environments demand broader information sharing to empower teams, build trust, and drive effective action toward goals.

https://www.cio.com/article/4153864/why-need-to-know-communication-fails-modern-it-teams.html

Which Cloud Architecture Decision Do Tech Leaders Regret Most? Treating AI Like Just Another Workload

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Tech leaders often regret treating AI like just another cloud workload, as AI systems fundamentally differ in behavior and scaling from traditional applications. Unlike deterministic and predictably scalable workloads, AI involves dynamic, conditional execution that challenges existing cloud architecture assumptions, leading to issues in cost management, governance, and system design if not properly accommodated.

https://www.cio.com/article/4153830/which-cloud-architecture-decision-do-tech-leaders-regret-most-treating-ai-like-just-another-workload.html

How Can Tech Workforce and AI Strategies Impact Digital Readiness?

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Deloitte's research using system dynamics modeling reveals that cutting technical workforce roles without simultaneous investments in data and AI modernization can significantly slow digital capability and organizational readiness, risking long-term agility and transformation success. While scaling AI and strengthening data foundations boost technology performance, workforce reductions—even when paired with AI investments—often cause short-term setbacks in readiness before improvement resumes.

https://www.deloitte.com/us/en/insights/topics/technology-management/tech-workforce-ai-strategies.html

When Agents Hit the Walls

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The article explains that agentic AI systems often fail when enterprise systems are disconnected because these AI agents encounter gaps where human intervention previously bridged system boundaries, approvals, or data mismatches. Such failures reveal hidden integration weaknesses—workarounds once invisible—that now serve as a precise blueprint for where organizations must prioritize system integration to fully realize AI's potential.

https://www.cio.com/article/4152582/when-agents-hit-the-walls.html

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