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R&D and Sales: Getting out of the paradox of sterile productivity

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While businesses have heavily invested in artificial intelligence to boost their sales forces, a realization is evident: the proliferation of tools has not yet solved the commercial efficiency crisis.

To achieve success, we must move from AI as a “gadget” to AI as an “exoskeleton”, one that doesn’t replace the salesperson but creates the “Super-Sales”.

The era of technological wonder has passed. After two years of frenetic deployments of generative AI, the world of sales management is facing a backlash: information overload and channel saturation. By excessively seeking to automate prospecting, companies have created a deafening background noise, where each prospect receives dozens of “personalized” solicitations by algorithm. The result? Response rates collapse.

Transitioning from the toy era to the ROI era

For decision-makers, the challenge of 2026 is no longer whether AI should be used, but how to anchor it in a real return on investment (ROI). The end of abundance and the rise in profitability demands require moving away from the “innovation stage”.

AI must now fade into becoming an invisible infrastructure, a true daily co-pilot. Tools like ChatGPT or Claude are no longer technical curiosities, but strategic allies capable of preparing a complex call in minutes, summarizing an account, or identifying risk areas and next steps in an ongoing deal. By automating administrative tasks, we tackle the fundamental issue of sales forces: that salespeople on average spend only a third of their time actually selling.

Prospecting less, but prospecting better

Sales productivity can no longer be a question of volume but of relevance. The current challenge is to detect buying intent even before it is articulated. AI excels here as a radar: it helps to target more accurately rather than more.

Through predictive analysis and fine adaptation to personas, AI enables surgical personalization of messages. The goal is for the salesperson to pick up the phone only when human added value is essential. AI doesn’t sell in place of the salesperson; it allows for better and faster selling by restoring the quality of dialogue. In a world saturated with bots, authenticity and therefore value, become the authenticity of human exchange.

The “augmented coaching”: a response to the talent war

In a tight job market where experienced sales profiles are in high demand, AI becomes a strategic lever for retention and skills development. Commercial coaching, once artisanal and dependent on the availability of managers, is now changing scale.

By analyzing subtle signals in interactions (tone, hesitations, recurring objections), AI offers immediate and personalized feedback. This “pocket manager” helps transform a junior into a high performer in a few months. The tool doesn’t replace talent; it reduces the learning curve. We move from random training to high-precision preparation, akin to high-level sports training.

Emotional intelligence, the final barrier of “closing”

While AI can prepare, analyze, and suggest, it remains structurally unable to manage the final mile of the sale: trust. The signing of a complex contract remains an emotional and relational act.

Humans are still the only ones capable of decoding the unspoken, managing egos, and reassuring decision-makers. Tomorrow, performance will not be measured by mastering technical tools, but by the salesperson’s ability to use the “free time” provided by AI to cultivate their emotional intelligence. Technology has crossed a threshold: it no longer just connects us but must make us more human where it truly matters.