In recent times, there has been apprehension that the number of job seekers would swell because Artificial Intelligence (AI) was replacing what humans could do. What exacerbated this fear was that for nearly three years, the corporate world seemed intoxicated by one promise that artificial intelligence would replace millions of human workers!
Chief executives who were eager to improve their balance sheets by cutting overheads drastically by all means spoke excitedly about leaner organisations. Investors were not left out either, as they cheered every announcement of job cuts linked to automation. Customer service desks became chatbots. The scenario was seriously scary as recruiters embraced AI screeners, engineers watched algorithms review designs that once demanded decades of experience.
As one analyst put it, humanity had entered an irreversible era in which machines would steadily replace people.
Then something unexpected started to happen. The companies that were falling over one another like a pack of rifles knocked over started to reconsider their stand by quietly calling people to work. In other words, veteran engineers were rehired, customer service agents returned to call centres. “Human reviewers resumed checking work that algorithms had confidently, but incorrectly, approved. Businesses discovered that while AI is extraordinarily powerful, it is not infallible. More importantly, they realised that replacing people entirely often costs more than it saves. The world may not be witnessing the end of artificial intelligence, but it is certainly seeing the end of the fantasy that AI can do everything,” an expert with eclat.
The Ford’s U-turn as an Example
Like many manufacturers, Ford removed many workers like mown wheat because it invested heavily in artificial intelligence “to improve vehicle design, quality assurance and production efficiency.” AI-powered systems were, as the company reasoned, “expected to reduce reliance on veteran engineers whose salaries were significantly higher than younger employees’.”
Unfortunately, quality problems persisted, making the company eventually acknowledge that experience “accumulated over decades could not simply be replicated by algorithms trained on historical data.” Ford, therefore, brought back more than 300 experienced engineers, many of them former employees, “to strengthen quality control and mentor younger workers. These engineers, affectionately known inside the company as “greybeards,” did something AI struggled to accomplish.”
The staff recognised patterns, anticipated failures before they occurred, understood why previous designs had failed decades earlier. What made this possible was that these veterans possessed institutional memory, something no algorithm could download overnight.
Today, AI still plays an important role at Ford, but it now works alongside seasoned professionals rather than replacing them.
Australia’s banking lesson
Like Ford, the Commonwealth Bank of Australia has also its complete reliance on AI.
After the bank introduced AI-powered voice systems to handle customer enquiries while reducing staffing requirements, it later found out that the technology worked well for straightforward requests.
In banking, real customers rarely present straightforward problems because they would come with complex cases, emotional conversations, and unusual circumstances overwhelmed automated systems, leading to increased call volumes and customer frustration. “The bank eventually reversed course and restored human customer service roles after recognising that empathy and nuanced judgement remained indispensable.”
Klarna discovers that customers still want people
Another example is Klarna, a Swedish financial technology company. Chief Executive Sebastian Siemiatkowski later admitted that the company’s “focus on reducing costs had gone too far. Klarna resumed hiring customer service staff, stressing that customers should always have the option of speaking with a real person.”
It was not that Klarna completely jettisoned AI, but the company changed its own philosophy by making sure that instead of replacing humans, AI became a tool supporting them in their operations.
IBM rediscovers the value of human judgement
Even IBM, one of the world’s foremost technology companies, encountered similar realities.
Artificial intelligence successfully automated most routine human resources enquiries.
Yet the remaining cases proved to be the most difficult. “Questions involving ethics, personal circumstances, workplace conflicts and nuanced judgement resisted automation.”
IBM concluded that while AI “excelled at repetitive administrative tasks, people remained essential for complex decision-making. The company subsequently expanded hiring in areas requiring human creativity, critical thinking and relationship management,” reminding the world that efficiency and wisdom are not always the same thing.
In healthcare, the world needs enduring human touch
Here is how an expert put it: “Hospitals around the world increasingly use AI to analyse scans, detect diseases and assist with diagnoses. Yet many medical institutions have resisted replacing clinicians. Why? Because medicine is more than identifying abnormalities on an image. Doctors reassure frightened patients. Nurses recognise subtle behavioural changes. Surgeons make judgement calls when unexpected complications arise. Medical professionals combine science with empathy, an ability machines have yet to master convincingly.”
Rather than replacing healthcare workers, AI, therefore, is increasingly serving as an intelligent assistant that improves “speed and accuracy while leaving final decisions to trained professionals.”
Law firms still trust lawyers
Legal practice offers another revealing example.
Artificial intelligence can search case law, draft contracts and summarise lengthy documents in seconds. But clients rarely hire lawyers simply to retrieve information. They hire them for judgement, negotiation, strategy, persuasion, and understanding human motivations.
“Major law firms continue investing in AI, yet few are eliminating experienced lawyers. Instead, AI handles repetitive research while attorneys focus on advising clients, interpreting grey areas and representing people in court. Justice, after all, is rarely determined by data alone.”
Airlines still rely on people
The aviation industry demonstrates another balance between technology and humanity. Modern aircraft already depend heavily on automation. Autopilot systems perform remarkable feats. AI helps optimise flight paths, fuel consumption and maintenance schedules. Yet airlines have shown little enthusiasm for removing pilots or significantly reducing maintenance engineers. Passengers trust technology. They trust people even more. When lives depend on split-second decisions, experience still matters.
The myth of total replacement
The growing wave of rehiring reflects a misunderstanding that spread rapidly during the AI boom. Many executives believed artificial intelligence was a substitute for people. Increasingly, they are discovering it works best as a multiplier of human capability. Machines process enormous quantities of information. Humans understand context.
Credit: The News Nigeria
