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Check out this episode of the #1 people intelligence podcast with special guest, Sanjeev Sharma, Workforce Innovation, Value Realization & Principal Member of Technical Staff at Salesforce!
In this episode Cole Napper speaks with Sanjeev Sharma, Principal Member of the Technical Staff for Workforce Innovation and Value Realization at Salesforce, about why AI is quietly gutting traditional analytics architecture by letting anyone build, Salesforce’s proactive playbook for catching a role before it crosses the 51 percent AI threshold, and why he remains skeptical of both AI doomsday predictions and the surrounding hype. Value realization sits between today’s population and the population needed to stay competitive: it tracks how humans plus AI produce P&L and market impact, treating work as trajectories and capacity compositions rather than static headcount states inside a traditional HCM. The practical stack is a computational data layer plus an intelligence layer, with delivery now possible through conversation, predefined skills, or other guided mechanisms that keep efforts inside the company’s corpus.
Inside Salesforce the Chief People Officer is pushing HR from transaction and satisfaction work toward genuine value creation. That requires organizational courage to speak the business’s language of cost and value one layer deeper than simple job blocks, while still validating rather than betting on futures. The shift that “everybody feels like they can be a builder” is real and useful for prototyping, yet Sanjeev warns that unlimited energy without connection to company trajectory is entropy; attention spans shrink and token spend rises unless someone joins A to B.
He introduces an equation in which every role’s economic value decays over time; AI accelerates the decay so that the floor can drop before people re-skill. The practical response is preventative: analyze and intervene before a role is more AI than human (the 51 percent threshold), choosing augmentation over pure automation and preserving an irreducible human floor for compliance and judgment. When pressed on hiring three to five years out, Sanjeev and Cole discuss the limits of rigid five-year plans; better framing is AI workforce transformation that keeps options open across multiple future branches while protecting core capabilities.
The episode reviews three of Sanjeev’s Substack pieces. “The Pen Still Writes” argues that most future-pay ideas are still sharp proxies for value inside the old structure; real change requires ownership tied to the products one actually builds and greater portability so people are not stuck at a company-controlled discount. “The Cliff Is Here” examines how standardized agent-to-agent protocols make trust portable yet create cliffs when systems write to systems and humans lose sight of the trail; network analysis overlaid on org charts becomes essential to see the liquid organization. “Confidence Laundering” describes the recursive process in which probabilistic outputs are narrated into over-confident deterministic claims; tools must label confidence at the data, semantic, and decision layers rather than simply “toss it into an LLM.”
Throughout, Sanjeev models a technical individual-contributor path that joins near-term rent-paying work with longer-horizon innovation, insisting that curiosity is the skill that matters most and that HR’s new job is to quantify capacity, engineer trust, and keep the human floor high enough that value realization remains a choice rather than an accident.
If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.
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