Latest Industry Insights

The title might be new, but the questions behind the Chief AI Officer role are very old: who owns transformation, who is accountable for outcomes, and how do you separate hype from value.

In boardrooms and budget reviews, that’s the real question behind every “we should invest in data” conversation.

Gen AI is everywhere in companies right now—except in the numbers that matter. Tools are being rolled out, copilots are being switched on, but for most organisations it still isn’t showing up clearly in the P&L. That gap between enthusiasm and impact is what needs attention next.

AI won’t rescue a weak go‑to‑market plan. But if you’re clear on who you’re targeting and what you’re trying to achieve, a few simple AI tools can make execution faster, cleaner, and easier to sustain.

AI is here to stay, and it will keep changing jobs rather than simply replacing them. The most important roles will be the ones that combine human judgment, domain expertise, and the ability to work well with AI tools.

Ask any tech leader trying to move beyond AI experiments and into real delivery: finding a good AI engineer is tough. Not because the job title is rare on LinkedIn, but because the mix of skills, experience, and mindset needed is still in short supply.