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
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