More Human, Not Less: What AI Has Actually Done for Talent and Culture
By Khush Sethi, Head of Talent & Culture at ClearPoint
With over 15 years working in Talent and Culture, I have always been driven by one question: what actually makes someone thrive? Not just in the role they are hired for, but in the team they join, the culture they become part of, and the career they build over time.
Across many years and thousands of conversations, from graduates taking their very first career step to senior leaders making their boldest move, you hear the same thing. People want real time and individual attention that honours the effort they've put into applying in the first place. That desire was never new. What AI changed is our capacity to consistently meet it. And when we adopted these tools, we made one deliberate choice that still feels important. We didn't reduce our Talent team to capture the efficiency gains. We reinvested that time, because more meaningful hours with candidates will always matter more than a leaner headcount.
The surprise: AI is making our work more human
Many people assume that the use of AI in people-focused work makes things more transactional, more automated and more detached. Our experience has been the opposite.
At ClearPoint, adopting AI across our talent processes enabled our team to focus on work that was more human, not less. When the administrative layer is handled at machine speed, what surfaces is the work AI cannot do. Reading a candidate well enough to notice what genuinely energises them, and to catch the hesitation that tells you more than their words do. Being there for a new starter in their first week, close enough to know whether they are finding their feet or quietly struggling. Having an honest conversation with a leader that only happens once trust is already there and you are paying full attention.
The tool most people assume is the enemy of human connection has, in practice, created more space for it.
Reframing AI: colleague, not competitor
The most important shift in working with AI is not technical, it is psychological. Think of AI as a highly capable new team member, one who is exceptional at research, tireless with administrative work, and available at any hour. That team member does not replace the relationships you have built or the trust you have earned. They take on the parts of the job that have been pulling you away from those things without taking anyone's seat at the table. Our Talent team is the same size it was before AI came in. The difference is where that time is prioritised, into the authentic, productive human connections that this work has always been about.
Once that reframe takes hold, the question stops being 'should I use this?' and becomes 'how do I brief it well enough to get the most out of it?' Think of it like giving instructions to a toddler. The clearer and more specific you are, the better the result. The more context you provide around the role, the situation, the tone, the outcome, the sharper what comes back.
Khush Sethi - Head of Talent and Culture at ClearPoint
Less time behind the screen. More time with people.
Before AI-assisted workflows, a significant portion of the day was spent at a screen: reading CVs, tidying up notes, drafting outreach, building onboarding materials, designing job descriptions. Necessary work, but work that consistently pulled Talent Resource Partners away from the conversations that actually move things forward.
AI handles the screen-facing layer. What that creates, if the time is reinvested deliberately, is a different kind of working day. One where more hours go toward genuine conversation: with candidates, with new starters, with team members who need real investment, with leaders who care about getting the people's side right. The relationships that used to happen in the margins of an administrative day move to the centre of it.
The people who benefit most from this shift are not just the Talent Resource Partners. It is everyone in the process. When a Talent Resource Partner has more time, candidate responses come faster, preparation goes deeper, and no one gets lost. Internally, a new starter in their first week deserves real attention, not a rushed onboarding because the person responsible is buried in other administrative tasks.
The team ends the week more energised than stretched. We're early in the journey, but we know it's already making a real difference. As we continue to embrace the AI ways of working, the data will surely follow. And some things you feel long before they show up in a report — in the quality of the work, and in every person on the receiving end of it.
What AI does well — and where humans remain essential
In recruitment: screening applications at speed, surfacing passive candidates, generating market intelligence that used to require hours of desk research.
In culture work: structuring onboarding programmes, drafting internal communications, and creating consistent resources across a distributed team.
That matters significantly for a team operating across New Zealand, Australia, and the UK simultaneously. Maintaining cohesive culture and communication across three markets, while moving at the pace growth requires, is a real operational challenge. AI helps ensure the foundations are solid and administration does not become the bottleneck.
What AI cannot do is read people. It can rank a candidate against a rubric. It cannot sense whether someone will stretch a team constructively, or whether a new starter is finding their feet or quietly struggling. That gap between processing and perceiving is where human expertise remains essential, and where we continue to invest most deliberately.
The tools and the learnings
Claude Cowork is the team's preferred AI assistant used for research, role brief drafting, candidate and employee communications, and onboarding preparation. In the spirit of transparency, it also produced the initial draft of this post, which Khush then reviewed, reshaped, and made her own. A good reminder that AI surfaces the thinking, but the judgement about what to keep, change, and cut remains entirely human.
The honest reflection from the journey so far: we are still learning, and that is part of what makes this moment exciting. The tools are evolving quickly, the use cases are expanding, and every few weeks something new shifts what is possible. The team has found that the briefing discipline is everything, the quality of the output is a direct reflection of the quality of the input. And knowing where AI ends and human judgement must begin is a skill that develops with practice, not a line that is obvious from the start.
The adjustment curve was real, and the first weeks of integrating new tools felt slower, not faster. The payoff came later, and it has been significant. There is still plenty of road ahead, and that feels energising rather than daunting.
This is an exciting moment to be in this work
Call it what it is - ‘A life changing Product-ivy unlock’. The combination of genuine people skills and genuine AI fluency is still rare, and it is becoming more valuable. The Talent and Culture professionals building that combination now — who can brief a tool clearly, review outputs critically, and then step away from the screen to be truly present with the person in front of them — are helping define what this function looks like next.
There has never been a better time to be working in Talent and Culture. Not as a reassurance, but as a genuine observation from someone who has been doing this for over 15 years, and who has rarely felt more energised by where it is heading. The tools have changed. The work — the human part of it — has only become more important.
