End-user resistance to AI slows automation despite its benefits

A recent survey has found that 83% of end-users remain resistant to workplace automation, raising questions for businesses under pressure to implement artificial intelligence solutions.

The UK-based survey, conducted by Censuswide among 500 IT managers, revealed a strong aversion among end-users – defined as customers and groundworkers – to adopting AI systems in their daily workflows.

End-user resistance

Resistance to AI and automation persists even as such technologies become more common in both personal and professional contexts. Howard Williams, Director of ThinkAutomation, addressed these challenges, focusing on misunderstandings and concerns that prevent wider acceptance.

With attention grabbing headlines dominating news around AI, particularly from people like Jeff Bezos and Elon Musk it's no surprise that most people are nervous about engaging with AI software. Reading that white collar jobs are going to be lost to AI and hearing about robots being developed that praise Hitler is going to do little to build confidence in new age technologies. But we're so far away from any of that being a reality, that scaremongering like this puts mistrust and information into the workforce, slowing down companies' growth.

Williams noted that negative headlines have played a significant role in shaping public perception, causing uncertainty and mistrust among staff. He indicated that such narratives can stall organisational progress.

He placed the current debate in its historical context, stating that arguments about the impact of new technologies on jobs are not new. According to Williams, throughout history, technological advancements have consistently prompted fears over job losses, only for new roles and opportunities to be created in their wake.

Williams added, "Concerns over job loss, job changes or redundancies due to AI, is a replication of a timeless argument around technology innovations. For centuries new technologies have been introduced that have changed jobs. What isn't acknowledged is that the new technologies, which includes AI, improve jobs, create new jobs and free up core skills. AI is great for mundane tasks, opening up opportunities for staff to save time and add value to their current roles."

AI's transformative potential

The survey, conducted in May, also reported that nearly half - 47% - of roles are expected to be transformed by AI by 2030. Williams called for a shift in perception to focus on practical benefits and opportunities afforded by AI.

He said, "So, people really need to get onboard with the benefits of using AI and stop viewing it as a scary futuristic concept that is limited to ChatGPT. Anyone who's ever used AI with us has never lost their job."

Privacy concerns

Aside from job security, data privacy was identified as a key area of concern among the public. Williams commented on the differences between third-party cloud and on-premises solutions, stating that knowledge in this area could bridge the confidence gap.

"Customers will question how their data could be leaked, how is their data being used, is it being sold and are they suddenly going to find themselves on some marketing hit list. It has happened and it does happen, we only need to look at the recent example with M&S and The Co-Op. What people aren't educated on is the difference between third party cloud software and private, on-premises solutions."

He suggested that transparency in how customer data is handled could build trust between organisations and end-users: "When companies use AI such as live chat for example, this is often going to a third-party cloud service. If a business can say, this chat is handled locally, and doesn't use third party cloud servers, it builds trust and confidence. If a company can show, honestly that data is being treated properly, this may bridge the gap between end-user resistance and automation that improves user experience."

Williams pointed out that solutions exist for businesses wanting to retain full control of their data, without relying on third-party providers. "Many companies aren't aware that they can use software, like ThinkAutomation, to host their own data, in their own on-premises cloud. Removing any need for third party providers and offering peace of mind not only for them, but for their customers too."

Education and transparency

Williams argued that misinformation and a lack of education remain significant barriers to automation adoption. He advocated clear communication and education as key tools for companies looking to improve outcomes for staff and customers while supporting business sustainability.

He stated, "Ultimately, misinformation, scaremongering and a lack of education are acting as a barrier to new technologies which can improve job satisfaction, customer satisfaction and support company sustainability. With the right knowledge and research into the appropriate AI and automation platforms which are available, organisations may find themselves with an edge over competition and a more futureproofed company infrastructure."

The survey's findings suggest that for AI and automation to gain wider acceptance in UK workplaces, companies may need to focus on clearer communication, data privacy assurances, and highlighting the practical benefits of such technologies to staff and customers alike.