Keen bosses, strange mistakes and a looming threat: workers on training AI to do their jobs | AI (artificial intelligence)

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The AI Tsunami: How Artificial Intelligence is Reshaping the Workforce

In a world where technology evolves at breakneck speed, the rise of artificial intelligence (AI) has become a defining narrative of our time. The International Monetary Fund (IMF) has sounded the alarm, with its head, Kristalina Georgieva, likening AI’s impact on the job market to “a tsunami hitting the labour market.” This seismic shift is not just a distant threat; it’s already transforming the daily lives and careers of workers across various industries.

The Editor’s Dilemma

Meet Christie, a 55-year-old editor from the UK, who found herself at the forefront of this AI revolution. Christie’s job involved editing academic papers for non-native English speakers, a role she had honed over years of experience. However, her world was turned upside down when her company introduced an AI “assistant editor.”

Initially, Christie was led to believe that these assistants were human trainees, meant to help alleviate the workload. Little did she know that she was actually training an AI system designed to replace her. The revelation came as a shock when she discovered that the “assistants” were making bizarre errors, such as inserting unnecessary full stops or changing country names to nonsensical words.

“I meticulously and respectfully pointed out these errors,” Christie recalls, “but they kept happening, and sometimes they got worse.” The final blow came when the company admitted in a newsletter that these assistants were, in fact, an AI system. Not only that, but Christie’s fee was reduced, as all jobs would now be pre-edited by the AI.

This betrayal has left Christie feeling “devalued, betrayed, and furious.” She finds herself in a toxic cycle, trapped by the company’s high volume of work, despite her desire to leave. “I prioritise work from any other sources, but I still need to eat and pay rent,” she explains. Many of her colleagues have already quit, unable to reconcile with this new reality.

The Compassionate AI in Healthcare

In the realm of healthcare, AI is making inroads that both excite and concern professionals. Dr. Mark Taubert, a 51-year-old palliative care consultant and professor at Velindre University NHS Trust in Cardiff, found himself at the cutting edge of AI implementation in patient care.

Dr. Taubert participated in a pilot project to develop a chatbot named Rita, designed to help patients navigate the complexities of metastatic cancer and palliative care. Over several hours, he was recorded, and his expertise was fed into the computer system along with guidelines that typically inform his patient interactions.

“We asked patients to write down all their questions and added patient information leaflets that we had previously written and agreed on,” Dr. Taubert explains. The chatbot was primarily aimed at home patients who might have questions about their medication or care out of hours.

While the initial results were promising, with about 50% of responses being “spot on,” the system struggled with the nuances of human communication. Patients often use incorrect names for medications or structure their questions differently than expected. “We saw a need for the technology to learn about human misspellings, dialects, jargon, variations, and accents,” Dr. Taubert notes.

Despite these challenges, the project continued with adaptations to make the system safer. However, funding eventually ran out, and the chatbot was shelved. Dr. Taubert remains open to embracing new technologies but doesn’t feel his role is threatened by AI. “A lot of what we do relies on nuances of language, body language, and facial expression and being in the room,” he says. “In the coming months or years, perhaps my working week can be enhanced by such systems by taking away the very administrative duties and letting me actually speak to the patient more.”

The Translator’s Struggle

For Philip, a 45-year-old translator based in New Jersey, the AI revolution has been a mixed bag of improved efficiency and declining quality. His company began exploring AI-based translation engines with the goal of replacing human translators to cut costs.

“At first, the results were inevitably laughable,” Philip admits. “But they have improved as we have corrected the programs.” However, even after four years of refinement, these AI translators remain unreliable and inadequately accurate. Philip and his colleagues still need to review each AI-generated translation word by word, correcting as necessary.

The irony is not lost on Philip: “It doesn’t save time over directly translating the material myself. I think the overall effect is a decline in quality.” While AI translations might suffice for rough ideas, they often fail when precision is crucial. “Part of the time, you will still run into things that are just completely wrong,” he warns.

The looming threat of obsolescence has been hanging over Philip and his colleagues for years. “The moment when I will no longer be needed in my current role has been looming over our heads for years now, but we’re not there yet,” he says, capturing the uncertainty that many workers face in the age of AI.

The Marketing Writer’s Digital Grave

Joe, a 50-year-old award-winning marketing writer and content manager, experienced firsthand the double-edged sword of AI implementation in the corporate world. His company began exploring AI as a productivity tool in early 2024, assuring Joe that his job was safe.

However, the writing was on the wall when Joe was tasked with building “AI process workflows” and “best practices documentation” for the first six months of 2025. “In my naivety, I thought that I would be administering this system and would be asked to oversee these processes,” Joe recalls.

The harsh reality hit just two weeks after Joe submitted his best practices documentation. He was laid off, with the company citing “market conditions” as the reason. The timing, however, was suspiciously close to the completion of the AI documentation. “Working for this company and being asked to do this – training your robot replacement – feels like digging your own digital grave,” Joe laments.

Now, much of Joe’s former workload has been delegated to junior employees who follow his AI documentation to produce work he used to do. At 50, Joe is considering a career pivot into sales, but the constant threat of AI looms large. “I could line up another writing job, but then am I looking at another layoff at 55?” he wonders, encapsulating the anxiety many mid-career professionals face in the AI era.

The Mathematician’s New Frontier

In the world of academia, AI is not just a threat but also a powerful tool for innovation. Filippo, a 44-year-old associate professor of mathematics in France, has been collaborating with two startups on AI projects that could revolutionize mathematical research.

These projects involve developing models to reason about mathematics and prove theorems with minimal human input, using proof assistant software called Lean. “It’s been three months, and while the results are still somewhat limited, it is clear that these tools are getting stronger and more efficient by every day,” Filippo reports.

The implications are profound. AI could potentially replace mathematicians in mundane tasks that occupy a large portion of their time, such as proving small ancillary results needed for larger goals. “Whether mathematicians will still be needed to prove these larger ones is debatable,” Filippo muses.

Despite these advancements, Filippo doesn’t feel his role is immediately threatened. As a public institution employee who spends significant time teaching, he believes AI tools aren’t yet at a professional research level. However, he acknowledges that the landscape could change rapidly. “Work will look completely different in 10 years’ time, or perhaps even less,” he predicts. For younger mathematicians just completing their PhDs, the future looks particularly uncertain.

The AI revolution is not just changing how we work; it’s challenging our very notions of expertise, creativity, and human value in the workplace. As these stories illustrate, the impact of AI is complex and multifaceted, offering both opportunities and threats across various industries.

As we navigate this new terrain, one thing is clear: the future of work will be shaped by how we choose to integrate AI into our professional lives. Will we resist, adapt, or find a balance between human ingenuity and artificial intelligence? The answer to this question will define the next chapter in the story of work and technology.

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These tags and phrases are designed to capture the essence of the article and make it more shareable and searchable on social media platforms. They touch on the key themes of AI’s impact on jobs, the future of work, and the various industries affected by this technological revolution.,