Sami Makelainen

Sami Makelainen

Sami has more than 25 years of experience helping organisations navigate technology and change. A foresight practitioner with the Institute for the Future, his background includes technology and innovation roles at Telstra and Nokia, independent AI advisory work and an industry fellowship with RMIT FORWARD.

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SELECTED EXPERIENCE

Experience in practice.

Further relevant examples appear on our industry and practice pages.

Prior industry experience

Building strategic foresight into business decisions

In his earlier roles at Telstra, Sami established technology and strategic foresight practices that connected longer-term change with decisions and investment. His work covered identifying trends, interpreting their implications and helping teams shape roadmaps and strategic initiatives. It brought a broader view of technological and social change into management discussions, alongside the immediate commercial issues. This experience supports work with organisations that want to make foresight useful in planning and examine how today’s choices could perform under different futures.

KA engagement

AI education and opportunity prioritisation in procurement

Sami led the workshop content and core delivery for an AI education and opportunity-prioritisation workshop for managers and staff in public health procurement, delivered with partner Capital AI. He drew on KA’s upfront research to connect AI applications across procurement with the team’s operational context. The workshop built a shared understanding and prioritised potential pilot opportunities for further consideration.

Independent experience

AI strategy informed by human capability and automation risk

Sami works with leaders on the gap between AI’s promise and its operational risks. His approach draws on strategic foresight, technology experience and lessons from aviation safety about over-reliance on automation. It considers how AI can support human capability and what can happen when organisations allow important skills or judgement to erode. This experience is relevant to executive education and AI strategy discussions where leaders need to examine practical adoption alongside human and organisational consequences.

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