Where value lies when tech can do it all

Will AI take our jobs? Will it remove the "human" from meaningful work?
May 13, 2026

Lately, I have been thinking a lot about technology and AI through the lenses of business and client benefits, how it can enable my team and empower our wider business to work more effectively. As the Head of Brand & Growth, I have the privilege of speaking with our clients and prospective partners daily, and AI comes up in nearly every conversation.

Working in the tech space, there is an inevitable focus on the efficiency gains and the incredible things ‘this latest model’ or tool can do, but the questions of displacement and doom are never far away in the wider narrative. Will AI take our jobs? Will it remove the "human" from meaningful work? Is progress for its own sake actually a net good for society?

The intellectual weather has been heavy, on LinkedIn, tech news, and podcasts - the extreme views on both sides are loud. We have seen Ezra Klein in the New York Times arguing why AI probably won't steal your job, countered by Jasmine Sun’s analysis of how Silicon Valley is bracing for a permanent underclass. However, we can (and should) have a conversation that is far more nuanced than some of the current polarisation suggests. For me, it is just as difficult to accept the overly positive predictions as it is to accept the doomsday narratives.

At ClearSky, we occupy the ground in between. We call ourselves "The Tech Enabler" because we have spent years building bespoke platforms that remove the manual drag of legacy processes. We have seen first-hand how this technology allows businesses to grow by automating the repetitive tasks that once required a human to act like a machine (the manned email inboxes, the document sorting, and the endless administrative cycles). Now, as we look at the potential of AI, it is clear we will be able to do even more, even faster. But this brings us back to the central anxiety: will this newfound efficiency finally lead to the mass disappearance of white-collar roles (a description I love, mostly because more people in our office are wearing hoodies than collared shirts, but that’s just our style)?

If our history with traditional bespoke technology is any indication, the answer is not a loss of headcount, but an acceleration to business growth, meaning more (but different) work for those people. When we look at how automation (without AI) has already powered our clients, we see that it doesn't remove the need for people; it clarifies it. By looking back, we can see a positive blueprint for how AI could function: as a tool for growth that makes the human element more, not less, essential.

The finite workload

The businesses we partner with are already successful. They are scaling, they are regulated, and they are usually drowning in their own success. Their growth is not limited by a lack of demand, but by what we call administrative inertia.

Take our work with a prominent player in the business lending space. When we met them, their growth was limited by the weight of manual data entry. Only five out of every hundred applications could be properly processed because of the friction involved in chasing documents and verifying identities.

We built a platform that automated the majority of that process. According to the doomsday narrative, that should have led to a significant reduction in headcount.

The reality? Revenue grew. The team didn’t disappear. Instead, the time once consumed by admin was reclaimed for the deeply human work of supporting businesses looking for growth funding. They were finally able to spend time with those who fell into a grey area (the businesses whose funding was more of a "maybe"), allowing for a higher volume of carefully reviewed applications. Ultimately, this meant more of their end-client businesses could grow and succeed.

We see these patterns across our entire client base. For example, one fast-growing finance provider found that their rapid expansion was exposing structural cracks in legacy systems, turning deal processing into a manual, friction-heavy slog. By engineering a bespoke portal, we enabled them to manage a 40% increase in deal volume, which directly resulted in a surge in revenue.

Again, no one was shown the door. Instead, 21% of the headcount was redeployed away from administrative tasks.

Why? Because in finance, like most industries, trust is the primary currency. By automating the mundane, we protected the human element. When you automate the boring parts of a job, the remaining parts can become more human, more meaningful, and significantly more valuable.

Progress with a purpose

As leaders, we have a responsibility to look past the polarisation. Progress for the sake of progress is a hollow pursuit, but progress for the sake of your people is transformative.

The tech we build at ClearSky replaces the systems that treat humans like machines. We replace the manual document uploads and the disjointed spreadsheets. We do this not to remove the person, but to allow that person to move further and achieve more.

If we choose to implement these emerging technologies with a focus on access and personalisation rather than just cost-cutting, the future of work looks remarkably bright. The machine handles the complexity, the human provides the soul.

We have seen firsthand how technology can support and help teams grow. In an era of such rapid development, fear is to be expected, and thoughtful debate is essential, but we have already seen how traditional, innovative technology can grow businesses and drive better services for end users. As we work on the first generation of AI projects with our clients, we are seeing the same opportunity for enablement. It is an exciting time, and we aren't just waiting to see what happens, we are actively building and leading what comes next.

Referenced articles and episodes

If you want to read some of the things we have been reading this week that are referenced here, you can check them out below:

Ezra Klein on AI and the workforce

Jasmine Sun on the Silicon Valley underclass

The AI Daily Brief: The New Jobs AI Will Create