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TestGorillaUnderstanding why most AI pilots fail before they ever reach scale We’re writing a thought leadership article for TestGorilla examining why the vast majority of AI pilots fail to deliver meaningful business outcomes — despite heavy investment and leadership buy-in. Rather than treating AI pilot failure as a tooling or technology issue, this piece reframes the problem as a people and capability gap. Many organizations roll out AI without clear visibility into how work is actually done, which skills are changing, or how humans are expected to collaborate with AI systems. As a result, pilots stall, misfire, or never scale. We’re looking for HR leaders, transformation leaders, people analytics professionals, and senior operators who have seen AI initiatives struggle — and can speak to why success depends as much on human readiness, skills, and workflows as it does on the technology itself. Please answer one or more of the following: • From your experience, why do most AI pilots fail to move beyond experimentation? • What people- or skills-related gaps most commonly undermine AI adoption? • How does lack of visibility into work, skills, or workflows affect AI outcomes? • Where do leaders tend to overestimate AI readiness within their teams? • What do successful AI pilots do differently when it comes to people, not tools? • How should organizations rethink AI pilots to focus on human–AI collaboration rather than automation alone? Requirements: • Direct experience with AI initiatives, digital transformation, or workforce strategy • Perspective grounded in real-world execution (not vendor theory) • Willingness to be quoted with name, title, and LinkedIn profile What You’ll Get: • Featured in a TestGorilla thought leadership article read by senior HR, TA, and transformation leaders • Attribution with name, title, and LinkedIn profile • An opportunity to contribute to a more honest, people-centered conversation about why AI initiatives succeed or fail

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Cali WeeklyAI & mental health: can algorithms support emotional well-being ethically? I’m looking to interview founders, executives, and product leaders from mental health tech companies, AI-driven wellness platforms, and digital health startups to explore the growing role of artificial intelligence in emotional well-being. As algorithms increasingly power therapy tools, mood tracking, and conversational support, important questions arise around ethics, privacy, and trust. Can AI genuinely support mental health without overstepping human boundaries or creating new risks? This feature will examine how technology companies are approaching responsible design, data protection, and human oversight in mental health applications, while also exploring what meaningful, ethical support looks like in practice. As part of the interview, you’ll have the opportunity to share how your platform approaches emotional care, what safeguards are in place, and how you see the future of AI-assisted mental health evolving. The article will be featured in Cali Weekly.

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YotruWhat advice do you have for job seekers in 2026? I’m looking to hear from recruiters, HR and talent professionals who are actively hiring or reviewing resumes today. Please share practical advice based on what you are actually seeing in 2025–2026, such as: - How resumes are being screened or evaluated - Common mistakes job seekers continue to make - What strong candidates are doing differently - How hiring expectations are changing - What matters more now than it did a few years ago Responses should be based on real hiring experience, not predictions or generic tips. Please do not pitch products or provide generic opinions. I’m looking for first-hand institutional perspectives, examples, or frameworks currently used in higher education.

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