Leadership, Culture and
AI Transformation

Organisations that are serious about ESG need to tackle the challenges and damage caused by AI, not just downstream i.e. during or after deployment, but throughout the AI lifecycle, including supply chains. Failure to do so, could lead to backlash including accusations of green washing. Data centres, which are basically warehouses housing servers and other tech infrastructures, are currently attracting a lot of attention - often not good. These warehouses are not new and have

As organisations rush to embed AI, often because everyone else seems to be doing the same thing and sometimes before proper audits are completed, one question few leaders are asking is this: given the current current AI pricing models are unsustainable, what happens when the AI “happy hour” subsidies come to an end and we all have to start paying market price for AI usage?

It’s no secret that AI’s consumption of water, energy, and land, is raising serious concerns in many quarters with some questioning whether we really need to use vast LLMs trained on vast, often “polluted” datasets, to perform relatively simple tasks.