What AI Still Gets Wrong
Technogram11 Aug

What AI Still Gets Wrong

On this episode of Technogram by Redington, we separate AI fact from fiction. Peter Lacey, Head of Commercial for the Middle East and Africa at Acer, explains why AI isn't a magic solution, where its limitations lie, and why businesses are shifting from AI hype to practical adoption. From AI-ready devices and edge computing to sustainability, governance, and the role of human judgement, he shares what organizations need to know before putting AI to work. Key Takeaways:

  • AI predicts patterns — it doesn't think like humans. Its outputs can lack context, reflect bias, and should always be validated.
  • The greatest value from AI comes from augmenting people, automating repetitive tasks while leaving creativity, judgement, and decision-making to humans.
  • The future of AI is moving closer to the user. AI-ready devices, responsible governance, and sustainable computing will define the next phase of adoption.

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