AI has dominated boardroom anxiety for years, but the conversation is shifting. Instead of debating hypothetical job losses, entrepreneurs are now focused on how AI is actually deployed inside organizations, and what that reveals about their human capital; the people who keep them running. With 86% of employers expecting AI and information‑processing technologies to transform their business by 2030, and around 40% of jobs worldwide expected to be affected, the pressure is real.

But a new cohort of founders is pushing back against the idea that AI diminishes human value. They’re building technologies that make workers more productive, more secure and more essential, from intelligent edge hardware and liveness authentication to AI‑powered rostering and enterprise‑wide decision systems. Their strategy is clear: the future of work won’t be machine‑led. It will be machine‑augmented.

Few sectors illustrate the stakes more clearly than healthcare. In the NHS, workforce planning has long resembled a game of whack‑a‑mole: managers juggling shift gaps without the tools to allocate staff effectively, clinicians stuck in rigid and often unfair rotas, and patient safety undermined by chronic understaffing. The result has been billions spent on agency workers and thousands of clinicians burning out.

Patchwork Health is helping reverse that trend. The AI‑powered workforce management platform has saved the NHS £250 million in staffing costs over the last decade. Today it works with around 60% of NHS Trusts and has improved working conditions for more than 120,000 clinicians.

Cofounder and CEO Dr Anas Nader, a former A&E doctor, says: “The technology produces staffing plans that ensure wards are safely staffed, without the need for managers to coordinate endless shift swaps or recruit expensive agency staff to plug gaps. For clinicians, access to a fairer, more flexible rostering system that takes their preferences into account tangibly improves working conditions, reduces burnout risk, and increases their capacity to deliver first-class care.”

Retaining The Human Element

But Nader is clear that AI doesn’t replace the human element of workforce management; it strengthens it. “No amount of prior planning can prevent a doctor’s child falling sick on the morning of a shift, or a nurse’s elderly relative needing to be rushed to hospital overnight,” he says. “Our tech is designed to help teams cope with challenges like this, but when these things happen, it’s the empathy, flexibility and dedication of NHS staff that keeps the service on its feet.”

Making Employees’ Contribution Impossible To Ignore

The same pattern is emerging across industries. Newmark Security , a provider of intelligent workforce and security technology, is one of the companies redefining how employers understand and protect human capital. Historically focused on workforce management, the business has evolved into a specialist in securing the future of work, combining AI‑accelerated software with intelligent edge devices used across manufacturing, logistics, retail and critical infrastructure.

One of Newmark’s biggest areas of innovation is AI at the edge, which puts processing power directly into workplace devices rather than relying solely on the cloud. “Biometric verification can continue even when connectivity fails, with data reconciled once systems come back online,” says CEO Marie‑Claire Dwek. “We are also developing increasingly sophisticated liveness detection, designed to distinguish a real person from an AI-generated image, deepfake or another digital spoof.”

With generative AI making impersonation easier, Newmark is effectively using AI to counter AI, establishing not just who someone is, but whether they are genuinely present. For Dwek, this convergence of identity, security and workforce technology signals a deeper shift in how companies value people. She says: “As machines absorb more knowledge work while demand for skilled industrial labor rises, AI could ultimately force businesses to rethink how they measure human capital and recognize the renewed value of the blue-collar workforce.”

AI Layoffs And The Expensive Rehiring Problem

The risks of cutting people too quickly in the race to adopt AI are becoming harder to ignore. Klarna began recruiting human customer‑service staff again after acknowledging that its cost‑cutting drive had affected service quality, while Commonwealth Bank of Australia reversed 45 AI‑linked redundancies . Gartner now predicts that by 2029, 30% of employees laid off because of AI replacement will need to be rehired, often at significantly higher cost.

Newmark’s technology helps address that problem by giving businesses a highly accurate picture of the contribution and value already within their workforce, including who is working, where and when, supported by biometric attestation and data around compliance with country and state‑level employment requirements such as mandated breaks.

“This richer workforce intelligence can make employees’ contribution more visible to decision-makers,” adds Dwek. “This strengthens the case for retaining valuable people while helping employers avoid the considerable cost of discovering too late that the expertise they removed still needs to be there.”

Tredence focuses on what it calls the ‘last mile of AI’; embedding advanced models into everyday enterprise workflows so employees can use them meaningfully. The $350 million revenue data and AI services company aims to reach $1 billion by 2030.

“The workplace challenge we address is productivity at scale,” says COO Jitendra Putcha. “We see AI as a tool that helps people do their jobs better, not replace them. Instead of critical knowledge being locked among a small group of specialists, AI makes insights, best practices, and institutional knowledge accessible to a much broader set of employees.”

Putcha argues that human judgment becomes more valuable as AI becomes more capable. “While AI can analyze vast amounts of data, generate content, and surface recommendations, it is the context and experience humans have that helps arrive at the right decisions, especially in complex or ambiguous situations. We believe the greatest value will come from combining AI’s speed and scale with human expertise.”

Enhancing Productivity And Decision-Making

One example is Tredence’s work with Mars, the $55 billion global consumer goods company. By enabling employees to use AI securely in their daily work, with training and safeguards to protect company information, Mars scaled usage from 200 to more than 28,000 employees in under a year, generating over 2.5 million queries. Early applications included helping corporate communications teams create internal content faster.

“The impact was less about replacing jobs and more about enhancing productivity and decision-making. The end-goal was to ensure that employees would spend less time on repetitive work and more time on analysis, problem-solving, and strategic decision-making,” says Putcha.

The New Value Of Human Work

Across many sectors, entrepreneurs are converging on the same belief: AI is not a substitute for human capability, but a catalyst for revaluing it. In an era defined by automation anxiety, their message is clear. The companies that thrive in the age of AI will be the ones that invest not just in algorithms, but in human capital, recognizing that human judgment, compassion, creativity and presence are becoming more valuable, not less.