AI at Work from Productivity Hacks to Organizational Transformation 2026

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Appendix: Questions sent A The evolution of AI and impact on work B The benefits of AI, beyond productivity C Automation, augmentation and job creation1. Beyond automation: AI is already automating repetitive tasks. What’s next? What investments are you making now that will show results in 12 months? How will these investments affect work in the tech sector and the industries you serve?2. Human–AI collaboration: Can you provide an example of AI being used as a collaborative partner in your business or by your customers? How has AI collaboration changed workflows or organizations at scale? What challenges did you face? 1. AI benefits: Beyond productivity gains, what are the perhaps less obvious benefits you have observed from AI adoption? Can you share specific examples that illustrate these benefits? 2. Immediate impact: Historically, new technologies have sometimes taken time to translate into measurable productivity gains. Can you share examples of significant and immediate productivity improvements from AI? What factors contributed to this, and how is success measured? If not, when do you expect to see tangible productivity gains? 1. Task automation: Instead of broad statements about job displacement, can you identify specific tasks within traditionally “safe” roles that AI is fully automating in your organization or for your clients? What surprised you most about which tasks could be fully automated? 2. Role augmentation: How is AI augmenting human capabilities in ways that were previously unimaginable? Can you provide examples of augmented roles in your organization that create new capabilities? Are employees free to use AI, and how are you evaluating their performance?3. Job creation: Beyond the jobs that appear in the headlines such as data scientists and AI engineers, what new job categories in your organization are “AI-native” and would not exist without advanced AI? What skills are you prioritizing when hiring for these roles? 4. Entry-level jobs: How does your organization handle entry-level roles now that AI can do many basic tasks? What are you doing to help younger employees fit in successfully and learn strategic thinking and sound judgement, despite having fewer foundational experiences? AI at Work: From Productivity Hacks to Organizational Transformation 21
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