How those in construction can build trust in the electric and AI age

Equipment decarbonisation is accelerating but the pace depends on the type of machine. Image: Adobe Stock

However, translating this technology into jobsite confidence remains a significant challenge.

Amid mounting pressure on everything from emissions compliance to project deadlines, end-users are looking for reliable solutions that deliver proven value, not just promising ideals.

Closing the credibility gap between the innovation promoted and the trust it has earned in the market will be one of the most important tasks for equipment brands in 2026 and beyond.

Navigating the two-speed electric transition

Equipment decarbonisation is accelerating but the industry is moving at two speeds. In the fast lane, compact equipment, forklifts, telehandlers, and MEWPs operating in controlled environments already demonstrate strong business cases for electrification. For many contractors, electric machines are now a ‘ticket to work’ in urban areas, especially with the rapid increase of low emission zones (LEZs) and zero emission zones (ZEZs) globally.

However, for heavy-duty machinery operating miles from grid access, full electrification remains a longer-term prospect. Demands on energy consumption, cycle times, and charging infrastructure mean that diesel, hybrid technology, and alternative fuels, such as HVO (hydrotreated vegetable oil), will likely coexist for some time.

Communicating this split requires nuance. For OEMs, the priority is to be both visionary and reassuring. Their role is building trust in tomorrow’s technology to create future demand while clearly demonstrating the reliability, total cost of ownership (TCO), and uptime of the electric machines available today.

For dealers and rental companies on the front line, the most credible message is one of pragmatic partnership. Their task is to address today’s pressures with proven solutions – championing the efficiency of Stage V engines, optimising fleets to cut fuel consumption, and promoting the impact of skilled operator training. At the same time, they can build trust for the future by sharing transparent findings – the successes and the challenges – from their own trials with electric and hydrogen machines, paving the way for the next generation of technology.

Communicating AI with transparency and respect

Walk the floor of any major industry exhibition – such as the upcoming ConExpo in Las Vegas, US – and you’ll see electrification, telematics, and AI everywhere. Image: ConExpo

While AI is becoming a component of operator assistance and safety systems, its communication requires a delicate approach. The generative AI boom over the last three years has created a ‘gold rush’ mentality in many industries, leading to the rise of ‘AI washing’ – the equivalent of greenwashing with overstated or vague claims about capability. This is a critical trap to be avoided.

Equally important is acknowledging that operators themselves may be sceptical. There can be anxiety about job security, a fear that AI will override their professional judgement, or practical concerns about its reliability on a cold, muddy jobsite. When AI also monitors operator behaviour, the line between a safety tool and ‘Big Brother’ can blur, raising concerns about privacy.

The challenge, therefore, is to turn these potential barriers into a story of reassurance and value. Successful messaging should be specific, explaining exactly what the AI does and the measurable benefit it provides. It should frame AI as a ‘co-pilot’ – a support tool that enhances an operator’s skill, not one what replaces it – while always emphasising that human judgment remains the final authority. Finally, it must be transparent, clearly explaining how data is collected and used to counter privacy concerns.

In practice, this could mean leading with the problem the AI solves, not the technology itself. For example, instead of saying, ‘our camera has AI’, a brand might frame it as ‘our system eliminates alarm fatigue by alerting operators only to real hazards’. The story becomes one of safety, efficiency, and reliability – benefits that resonate with both operators and decision-makers.

While AI is becoming a component of operator assistance and safety systems, its communication requires a delicate approach. Image: Adobe Stock

With emerging safety standards and data transparency requirements across Europe and North America, clarity around AI will soon become a compliance issue – not just a communication one.

Trust is the new differentiator

Ultimately, the biggest challenge facing equipment brands in 2026 isn’t electrification, telematics, or AI. It’s trust. End-users are navigating an unprecedented wave of technological change, and they are looking for tools that are reliable, support that is honest, and information they can act on.

The companies that win will be those that can unify their engineers, product managers, sales teams, and leaders behind a single, credible story — one that acknowledges uncertainty while offering clarity.

Hannah Kitchener is associate director of industrial communications agency SE10.