March 22, 2026

Lailany Sierra: Human-Centric AI Transformation - Value, Culture, and Reskilling

Lailany Sierra: Human-Centric AI Transformation - Value, Culture, and Reskilling
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In this episode of Force Multiplier, Danny is joined by Lailany Sierra, Strategic Operations & Transformation Leader, with experience across IMAX, Disney, and Chanel.

Lailany discusses the change she wants to make through individual transformation: building resilience, adapting in volatile times, upskilling, and developing agency as technology reshapes work.

She emphasises showing up by adding value, supporting collaboration, and considering human implications during digital transformation.

The conversation warns that organisations often treat technology as an ROI investment while treating people as a cost, risking displacement, underinvestment in upskilling, and using AI to replicate existing dysfunction; successful transformation requires data, security, ethics, and alignment to customer journeys and Conway’s law.

Lailany describes learning via structured courses (including an Oxford AI course) and creative studies, prefers Claude as a thought partner and Perplexity for sourced research, and advocates prompting for alternative viewpoints to avoid confirmation bias.

She raises concerns about AI representation, pace, accountability, and societal/ecological impacts, while highlighting benefits like democratised access, productivity gains, and advances in life sciences and climate tech.
If you like Force Multiplier, make sure to check out Danny’s debut podcast Sondership that shares Inspiring Stories from People with Purpose at Sondership.com

00:49 What’s the change you’re trying to make

02:16 Leadership and Adding Value

04:43 Human Centric AI Transformation

05:35 Why Tech Deployments Fail

09:28 ROI Versus People Investment

11:49 Conway’s Law and Org Design

15:21 Collective Intelligence With GenAI

16:00 Luxury Needs Humans

17:10 Reskilling and Learning Styles

19:43 Art Deco Inspiration

20:26 Choosing AI Tools

22:36 Low Cost Learning Paths

24:41 Avoiding Confirmation Bias

27:43 AI Risks and Representation

33:04 Democratisation and Breakthroughs

35:28 Climate and Sustainability Outlook