Where’s the AI ROI?
I’m in the recruitment game, but like many of you, my interest spans across the tech and CRM universe.
And if, like me, you’ve been doing a bit of industry star gazing lately, you may have noticed some interesting signals being beamed back at us.
The AI euphoria of the past couple of years has run into a sobering reality: where is the ROI?
For some businesses, the promised productivity gains have not yet translated into hard commercial outcomes. Boards are asking sharper questions. Investors are recalibrating expectations.
So is this a correction, or something more structural?
From a hiring lens, it feels less like a slowdown, but more of a deliberate action to seek measurable outcomes from every person brought on board.
From Macro Headlines to Micro Reality
Many businesses, including those investing heavily in AI, are still posting strong profits. Demand has not evaporated. The sky is not falling.
What we may be seeing is something more nuanced. A market moving from hype to accountability. And scrutiny changes how teams are built.
AI, for all its capability, is only as powerful as the environment it sits in. With strong data, it performs well. With clear processes, it accelerates execution. With aligned teams, it improves output.
But if there are holes existing in these processes, AI doesn’t fix that. It just exposes it.
The Window Dressing Analogy
There is a temptation in every cycle to adopt the headline technology quickly, to show the market, customers and boards that you are doing AI.
But deploying AI tools without the right foundations can feel like installing beautiful window dressing without the window.
It looks impressive from a distance, but there is nothing structurally supporting it.
The same can apply to hiring. Bringing in a high profile AI lead without the data maturity, platform ownership or cross functional alignment to support them is not transformation.
AI layered on top of messy data, unclear ownership or half configured systems will not deliver meaningful ROI. Likewise, exceptional talent layered onto unclear strategy will struggle to create impact.
The market is beginning to tell us it can see the difference.
What This Means for Hiring
From a hiring perspective, the shift is interesting. Demand is still there, but it is more precise.
Businesses are not just hiring AI specialists. They are hiring:
- Data architects
- CRM and platform specialists
- Integration experts
- Technical leaders who understand systems end to end.
There is more emphasis on team shape, sequencing and capability mix. Who owns the data? Who governs the platform? Who connects the systems? Who translates business need into technical execution?
In other words, organisations are realising they need to build the window before hanging the curtains.
Personally, I’m seeing this reflected in conversations I’m having with clients where sentiment has shifted from “we need someone who knows AI” to “we need to understand whether our current team structure can actually support this investment.”
That is a more strategic position (and a healthier one).
Correction or Maturity
Of course, AI is not disappearing. If anything, it is becoming more embedded. But it looks like the market is no longer rewarding companies for announcing AI initiatives, but pushing to reward them for showing results.
From where I sit, this feels less like a warning sign and more like a maturation point.
The conversation is shifting from who is using it to who has built the right team to use it properly.
And that is where real, sustainable advantage tends to begin.If you’re keen to see how your skillset or team should absorb this reality, get in touch for a chat today!
– Garth
