Manjuri Sinha’s Post

"RIP Recruiting," said Kevin Wheeler, and "HR as we know it is doomed," according to Josh Bersin in his latest podcast. ⏩⏩ Having been a panelist alongside Kevin Wheeler twice last year, once on Matt Alder's podcast and once with Hung Lee and Siadhal Magos on a webinar by Metaview, I found his insights truly enlightening. While we didn't always agree on everything, I wholeheartedly 💯 agree with the perspective Kevin presents in his recent article. I envision Talent Acquisition evolving into a Center of Excellence (COE) with significantly smaller teams, possibly one-third of the current size. This transformation will involve Human Product Owners and advanced recruiting processes automated by AI agents. It's not a question of if this shift will occur, but rather when. However, a crucial prerequisite for this evolution is establishing robust talent foundations, a challenge many startups and scaleups face today. Consider this scenario: when a Hiring Manager initiates a vacancy, the AI Agent should ideally extract skills from a competency dictionary or skill repository to draft the job description automatically. Yet, if the company lacks a defined skill repository or standardized leveling, where will the agent source this information? To pave the way for a future driven by AI, it is imperative to establish strong talent foundations today.

Building AI-driven recruiting on a weak foundation is like trying to build a skyscraper on sand. From my experience, it's not enough to automate processes — if you don't have a clear skills framework, role leveling, and unified hiring standards, AI will only accelerate the chaos. I’ve seen how teams struggled when every hiring manager described roles differently and expectations constantly shifted. Totally agree: strong talent foundations aren't a "nice-to-have" anymore — they are a basic requirement for the future of Talent Acquisition.

Manjuri Sinha Spot on. Everyone’s racing toward AI-driven hiring, but without solid talent infrastructure skills taxonomy, competency frameworks, and levelling it’s like automating chaos. No AI can fix a broken foundation. Companies that fail to build this today won’t just lag; they’ll be obsolete tomorrow. The future will favour those who invest in structure, not shortcuts.

Totally agree with the vision—and the warning. The bots can’t save us from chaos. If your hiring data lives in side-channel Slack messages, and your skill leveling lives in someone’s head… AI won’t streamline much—it’ll just automate confusion. We’ve seen something similar with immigration: companies want predictive tools, but have no central source of truth. You can’t surface risk when your risk is buried in spreadsheets and delayed emails. AI isn’t a silver bullet. It’s a force multiplier. But only after you’ve built the system worth multiplying.

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Without clearly defined skill frameworks and structured data, even the most advanced AI solutions will stumble. Perhaps the most valuable step companies can take today is investing in robust internal talent mapping. A well-organized talent ontology won't just benefit recruiting—it could fundamentally enable proactive internal mobility and skill forecasting across the entire organization. One practical challenge I see: smaller companies might feel overwhelmed building this from scratch. Given your builder experience, Manjuri, I'd love your thoughts on how startups and scaleups can realistically start laying these foundations today?

AI has immense potential to transform talent acquisition by improving efficiency and enhancing the human experience. The idea of a Center of Excellence with smaller, agile teams supported by AI-driven automation is forward-thinking and practical. By automating repetitive processes, we can focus more on meaningful human interactions, bringing empathy and personalization back into the candidate experience. Establishing robust talent foundations today will ensure we fully harness the power of AI tomorrow. Great perspective shared here, and exciting times lie ahead in leveraging AI to innovate recruiting.

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That's a bold and insightful take on the future of Talent Acquisition! It underscores the urgent need for companies, especially startups and scaleups, to prioritize building these foundational elements to truly leverage the potential of AI in talent acquisition.

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I can see the potential, but I don't see it happening at scale, at least not for volume or outbound hiring processes. I will explain why. I have probably received more sales outreach messages from vendors in the last 6-12 months as I have through my entire career. This through linkedin and email mainly, but I'm not on any other social media, so who knows? I used to reply to all messages, except the most irrelevant or badly written but now I ignore pretty much everything I receive, AI-generated or not. By enabling endless message spamming, AI will soon kill off the newer forms of media and erode trust. Therefore, there is going to be a need to rethink how we connect people with opportunities. We will see how that works out, but I don't think it will be an AI tool, however comfortable we become communicating with it.

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