When “vibe coding” was named Collins Dictionary’s word of the year last month, it signaled a crucial milestone for AI: applications that were once niche or sector-specific had truly become mainstream.

A term initially coined by OpenAI co-founder Andrej Karpathy to describe coding through natural language outputs rather than development languages, it has sparked inspiration among leaders in other industries around where else AI can give processes the “vibe treatment”.

Co-Founder and Chief Product Officer at Gong.

data sets, it’s about humans directing the action rather than spending time on menial tasks themselves.

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AI’s expanding foothold in the enterprise means an increasing number of tasks can undergo the same transformation as writing code. One of the most exciting – and practical – areas where this is happening right now is in sales. So, let’s dig into it.

emails, researching accounts, analyzing conversations – so they can focus on what matters most: actual selling.

Traditionally, sellers have had to juggle these tasks themselves to gain a competitive edge. However, while these tasks are essential, they often pull sellers away from the activities that truly drive revenue – building relationships and closing deals, which demand a personal, human touch.

Vibe selling changes this. By embedding AI directly into workflows, sellers can offload those repetitive tasks to intelligent tools that generate insights, prep materials and flag opportunities in real time. That leaves the salesperson free to do what humans do best – connecting with customers, earning their trust and closing more deals.

CRM and spending hours piecing together next steps, a seller can simply get quick answers to questions that otherwise would mean scrolling through endless chains of content. The AI responds, contextualizes and updates accordingly.

This constant back-and-forth mirrors the collaborative spirit of vibe coding, but with added stakes – even one misplaced decimal could represent thousands in lost revenue.

businesses reach customers and drive revenue growth.

By automating tasks that keep sellers from actually selling, AI isn’t replacing them – it’s making them better. The future of business won’t be defined by those who resist this technical revolution, but by those who learn to channel it in the right ways.

In the end, the most powerful deals won’t be closed by AI alone or humans alone – but by an amalgamation of both.

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