The Next Big Moat in AI is People: Culture and Trust Build Great Companies | Harshita Solanki | Senior Manager-HR | Neokred

Take a peek into any company board meeting today, and one of the core agendas will likely revolve around an AI tool that surfaced in the previous week. Undoubtedly, AI adoption brings speed, efficiency and capability into the picture. However, as every team gains access to similar tools with almost identical functionalities, unique and creative ideas slowly begin to fade beyond the horizon. In many cases, new ideas start looking like old wine in a new bottle. Thus, in this AI era, building a moat doesn’t revolve around adding another tool to the AI stack but resides in the creative, skilful, and capable people businesses have hired.

Human capability is increasingly being underrated, something reflected in the wave of layoffs happening across industries. But what many businesses fail to realise is that without intelligent and creative human orchestrators, there is very little that creates a lasting edge. The real moat today is not machine-produced similar ideas, but people capable of thinking beyond what machines can generate. This is why cultures where learning compounds through daily work, opportunities continue to emerge, and performance is rewarded have become imperative. In an environment where technical advantages collapse within months, the ability to develop and retain people who can build what’s next becomes the only sustainable moat. And that is what truly shapes a ‘great place to work’.

Building Competitive Moat Through Planned Culture

A recent report revealed that 86% of Indian employees are either “struggling” or “suffering”, while only the remaining fraction falls into the “thriving” category. Somewhere, businesses are failing to fix the math. Employees often do not understand where they fit into the bigger picture: how they drive outcomes, how their contributions matter, and how their work shapes their own growth. When the orchestrators of today’s AI-driven workforce themselves become disengaged, all businesses are left with is mechanical execution masquerading as innovation.

At the same time, another underlying problem is becoming more visible in the AI era. AI is being introduced rapidly while tech giants across the world continue extensive layoffs. Businesses are perceiving AI as a replacement for existing employees. However, at a time when almost everyone has access to similar AI capabilities, the real competitive advantage lies in employees who carry institutional knowledge, understand customer nuances, and know how to apply intelligence with context. The need of the hour, therefore, is not replacing people with AI, but enabling people through AI.

In fact, according to the Future of Jobs Report, nearly 63 in every 100 Indian workers will require training by 2030. Untrained employees will always lead to underwhelming outcomes, regardless of how sophisticated a company’s AI stack may be. The real competitive advantage lies in moving both forward together as organisations transition towards an AI-driven workforce.

Creating a Space for Growth

When discussions around growth happen, many businesses still carry a myopic view that begins and ends with revenue. But in reality, business growth, in most cases, is employee growth reflected outward. When employees detach from their work, businesses eventually detach from their goals. This is also why recognition cannot be treated as a delayed corporate ritual.

When someone solves a gnarly problem, ships a critical feature under pressure, or helps a struggling teammate navigate a breakthrough moment, the impact of recognition degrades exponentially with delay. Waiting for annual reviews to acknowledge exceptional work is like trying to reinforce behaviour weeks after the moment has passed. The connection between action and reward dissolves.

What has worked well in my experience is recognising people when the moment is still alive. Employees perform differently when they have transparent visibility into what they are contributing towards and when their work is visibly valued.

Another major paradigm shift most businesses still miss is creating space for applied experimentation. AI adoption cannot become another formal learning programme where employees are expected to passively consume information. That defeats the very purpose of transformation.

Instead, employees need room to apply it, play around with it, and identify use cases that actually create impact. The gap between knowing how to use an AI tool and understanding which problem to solve with it can only be bridged through hands-on exploration. Unfortunately, many organisations claim to encourage innovation while systematically discouraging experimentation through risk-averse cultures. The reality is that employees are ready to learn. They simply need the right environment to do it.

Another aspect tying this entire sequence together is a real and serious feedback mechanism. Most organisations conduct performance reviews, communicate shortcomings, and then return to business as usual. Rarely are employees given the environment, guidance, or opportunity to genuinely improve. Businesses need to understand that employees who stay and grow within an organisation eventually become assets that compound in value. They carry lived experience that no prompt can replicate.

Prioritising People-led Growth

As AI becomes accessible to everyone, technology itself will stop being the differentiator businesses once believed it to be. The companies that will stand apart in the coming years will not necessarily be the ones with the largest AI stack, but the ones capable of building environments where people can continuously learn, experiment, grow and think beyond templates.

Because eventually, tools become common. What remains rare are people who know what to build, why to build it, and how to imagine what comes next.