Why Businesses Are Rethinking Staff Cuts and Prioritising People

Why Businesses Are Rethinking Staff Cuts and Prioritising People

New data reveals a significant shift in how UK businesses view AI and their workforce. Many leaders who rushed to downsize their teams due to automation now regret it, with a substantial 55% admitting they made a mistake. This report highlights a growing recognition that successful AI integration isn’t about wholesale job replacement, but about strategic reskilling, robust policies, and a crucial human element in the age of intelligent automation.

The AI Job Market Just Had a Major Reset

Remember all the fuss about a specific type of AI role that focused on how we talked to machines? Turns out, it was just that: a lot of fuss. While many predicted it would be the hottest career in tech, the reality is that generative AI has become so intuitive, it practically prompts itself.

According to The Wall Street Journal, the idea of a dedicated role simply for “prompting” AI is “basically obsolete.” Instead of hiring individuals solely to “translate” for AI, companies are shifting their focus to other critical AI specialisations and, more importantly, training their entire workforce to effectively leverage AI tools.

The Human Factor: Lessons Learned from AI Implementation

The initial rush to automate and reduce headcounts, driven by the promise of AI, appears to be levelling off. A new report from Orgvue sheds light on a significant shift in business leaders’ perspectives. While 39% of companies initially laid off staff due to automation, a striking 55% of those now regret the decision.

Confidence in AI’s ability to completely replace human workers is also waning. Only 48% of leaders now expect job displacement, a notable drop from 54% just last year. This suggests a growing understanding that AI is more of a tool for augmentation than outright substitution.

Key Insights from the Orgvue Report:

  • Growing Responsibility: Executives are increasingly feeling responsible for their employees. While 70% felt this way last year, a still significant 62% of leaders now feel responsible for shielding employees from AI-driven redundancies.
  • Employee Concerns: The impact of AI on staff morale is clear. 34% of leaders reported that employees have voluntarily left their jobs directly due to AI’s implementation, indicating a need for clearer communication and integration strategies.
  • Controlling AI Usage: One of the biggest fears for business leaders is that employees are using AI without proper controls (47%). This concern is a major driver behind the fact that 80% of business leaders are now committed to reskilling employees to use AI effectively and responsibly.
  • Policy and Reskilling are Key: A substantial 51% of businesses are introducing internal policies to guide AI use in the workplace. Alongside this, 51% of leaders believe reskilling is strategically important for preparing their workforce for the AI era.
  • Investing in Development: To ensure employees have the right training, 41% of companies have increased their Learning & Development budgets, a positive sign for workforce adaptation.

Klarna’s Cautionary Tale: The Value of Human Connection

The findings in Orgvue’s report reflect a broader shift happening across industries, with some high-profile examples learning the hard way. Financial technology company Klarna, for instance, famously replaced around 700 customer service employees with AI tools starting in 2022, driven by a push to cut costs.

However, the company has since admitted that this automation-first approach didn’t deliver the customer experience it had hoped. Klarna’s CEO, Sebastian Siemiatkowski, told Bloomberg: “From a brand perspective, a company perspective, I just think it’s so critical that you are clear to your customer that there will always be a human if you want.” He acknowledged that using AI agents without human support is no longer the right fit for Klarna.

This shift in perspective from major players like Klarna underscores a crucial point: while AI offers immense efficiencies, the irreplaceable value of human connection, strategic oversight, and nuanced problem-solving remains paramount. Companies are learning that successful AI adoption is about empowering their workforce, not replacing it, fostering a blended approach where technology enhances human capabilities.


Is your organisation balancing AI adoption with strategic workforce planning?

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Forget Just ‘Talking to AI’: Companies Are Now Hiring These Specialists

Forget Just ‘Talking to AI’: Companies Are Now Hiring These Specialists

The once-hyped role focused on simple interactions with AI is now largely obsolete, as generative AI has become incredibly intuitive. Companies are no longer seeking individuals solely to ‘translate’ for AI. Instead, they’re actively recruiting AI Trainers, Data Specialists, and Security Experts. This significant shift highlights a maturing AI landscape where deep technical understanding and strategic application are crucial, opening up new opportunities for tech professionals across the UK.

The AI Job Market Just Had a Major Reset

Remember all the fuss about a specific type of AI role that focused on how we talked to machines? Turns out, it was just that: a lot of fuss. While many predicted it would be the hottest career in tech, the reality is that generative AI has become so intuitive, it practically prompts itself.

According to The Wall Street Journal, the idea of a dedicated role simply for “prompting” AI is “basically obsolete.” Instead of hiring individuals solely to “translate” for AI, companies are shifting their focus to other critical AI specialisations and, more importantly, training their entire workforce to effectively leverage AI tools.

The Rapid Evolution of AI Roles

Just a couple of years ago, there was significant buzz around a role expected to be the next big thing in tech. Courses promising high-paying jobs in this area popped up everywhere, suggesting these individuals would be the essential link, deeply understanding generative AI and unlocking its revolutionary potential. Even NVIDIA CEO Jensen Huang suggested in March 2024 that all programmers could effectively perform this task. However, the concept of relying on individuals to coax specific outputs from AI has shown its limitations in 2025.

Skeptics were always present, pointing out that the tech industry has a history of hyping “next big things” that often fizzle out, from crypto to quantum computing. While some technologies find niche applications, many simply shift lives laterally rather than vastly improving them.

Generative AI, however, has managed to maintain a strong foothold in the mainstream. Companies, educators, and individuals now frequently use AI as a default tool, much like a search engine, and they don’t need a dedicated “AI communicator” to facilitate that interaction.

The Wall Street Journal and Microsoft confirm that the need for simple AI interaction roles has faded because generative AI is increasingly self-sufficient. Jared Spataro, chief marketing officer of AI at Work at Microsoft, notes that AI can now ask follow-up questions and seek feedback. This, coupled with the economically cautious hiring environment of 2025, has further reduced the demand for these singular roles.

The New AI Frontier: In-Demand Job Titles

So, if simply “talking to AI” isn’t a standalone job anymore, what AI roles are in? Based on research from Microsoft and insights from The Wall Street Journal, here are the AI job titles companies are actively seeking:

  • AI Trainer: These professionals help refine and improve AI models by providing feedback and guidance, ensuring they perform optimally.
  • AI Data Specialist: They focus on managing, cleaning, and preparing the vast amounts of data essential for AI systems, making sure the AI has the right information.
  • AI Security Specialist: With AI’s growing integration into critical systems, securing these from vulnerabilities and threats is paramount.

Other highly sought-after AI positions, identified through a review of 2024 AI job openings and growth trends, include:

  • AI Consultant
  • AI Researcher
  • AI Product Manager

And, of course, AI engineering remains a consistently hot field, with strong demand reported by CNBC from data gathered by Indeed and ZipRecruiter.


Looking to recruit top-tier AI, Tech, or IT talent for your team? Contact Langley James today to find the perfect fit for your organisation.