The human element is what patients actually pay for
As artificial intelligence reshapes the landscape of human labor, a quieter truth emerges beneath the alarm: not all work is equally vulnerable, and the qualities most essentially human — judgment, empathy, creativity, presence — remain stubbornly beyond the machine's reach. A Goldman Sachs estimate of 300 million automatable jobs has sharpened the conversation, yet recruitment expert Caroline Cadorin reminds us that transformation and elimination are not the same thing. The deeper question is not whether AI will change work, but whether workers will change with it.
- A Goldman Sachs report warning of 300 million automatable jobs has sent a tremor through the global workforce, making the threat of AI displacement feel immediate and concrete.
- Tools like ChatGPT and Sora are already generating text and video on demand, blurring the line between what machines can produce and what humans once believed only they could create.
- Recruitment director Caroline Cadorin pushes back against blanket panic, identifying strategic leadership, creative work, education, healthcare, negotiation, and manual labor as sectors where human judgment and interpersonal presence remain irreplaceable.
- The real disruption may be less about jobs vanishing than about roles evolving — demanding that professionals actively understand and integrate AI rather than wait passively for its verdict.
- Workers who ask the right questions — what do I offer that AI cannot, and how can AI amplify what I do — are positioning themselves on the right side of the transformation.
Artificial intelligence has arrived as one of the defining forces of our era, and a 2023 Goldman Sachs report gave the anxiety a number: more than 300 million full-time jobs across the US and UK could be automated. Tools like ChatGPT and Sora are already making that prospect feel tangible. Yet Caroline Cadorin, director of recruitment firm Assigna, offers a more measured reading of the moment — one that distinguishes between transformation and elimination.
Cadorin identifies several categories of work likely to endure. Strategic decision-making and ethical judgment, she argues, belong to humans; AI can supply data and analysis, but the responsibility for choosing a course of action cannot be delegated to an algorithm. Creative professions face a similar dynamic — AI can generate content, but the conceptual intelligence required to understand an audience, craft a resonant message, or position a brand still demands human intuition.
Education and professional development will remain human-centered, she contends, because guiding growth requires presence and nuanced judgment that standardized instruction cannot replicate. Negotiation and management depend on interpersonal dynamics that algorithms cannot fully navigate. Manual labor, despite decades of industrial automation, has resisted the robot takeover that science fiction long predicted. And healthcare, perhaps most compellingly, demands more than diagnostic accuracy — patients need empathy, reassurance, and the interpretive counsel of another human being.
Still, Cadorin's reassurance comes with a condition. Professionals across all fields must engage seriously with AI — not out of fear, but out of practical wisdom. Those who understand how to leverage the technology will outpace those who ignore it. The questions worth asking are pointed: What do I offer that AI cannot? How does AI sharpen my work? What can I automate to reclaim time for higher-value thinking? The future, she suggests, belongs not to those who resist the technology, but to those who learn to work alongside it.
Artificial intelligence has become one of the most discussed technologies in recent years, and with good reason. A Goldman Sachs report from March 2023 suggested that AI could automate more than 300 million full-time jobs across the United States and United Kingdom alone. Tools like ChatGPT and Sora are already demonstrating this capacity, generating text and video on demand. Yet according to Caroline Cadorin, director of Assigna—a recruitment firm specializing in temporary and outsourced staffing—the technology's reach has clear limits. Not every profession will be equally threatened, and some sectors may prove surprisingly resilient to automation.
Cadorin argues that certain categories of work will likely survive the AI wave largely intact, though perhaps with evolved job titles and responsibilities. Strategic decision-making and ethical judgment, she explains, represent domains where human judgment remains irreplaceable. AI will function as a tool to inform these choices, providing data and analysis to support human leaders, but the actual responsibility for choosing a path forward belongs to people. The same logic applies to creative work. While AI can generate images, text, and video, the conceptual thinking required to craft a meaningful advertising campaign, to understand an audience's emotional needs, or to position a brand in a crowded market still demands human creativity and intuition. Cadorin sees little prospect of a future where organizations no longer need people capable of original thought.
Education and professional development represent another sector where AI's role will remain supplementary. The technology can help identify which skills need developing and which audiences require specific training, but it cannot replace the person standing in front of a classroom or mentoring a colleague through a difficult problem. While AI might handle routine, standardized instruction, the nuanced work of guiding human growth requires presence and judgment. Similarly, negotiation and management rely on interpersonal dynamics that algorithms cannot fully navigate. A manager might use AI to gather competitive intelligence or model different strategic scenarios, but the actual work of persuading, building consensus, and making judgment calls in real time remains distinctly human.
Manual labor, too, appears safer from immediate displacement. While industrial automation has long been part of manufacturing, the kind of hands-on work required for maintenance, repair, and specialized physical tasks remains difficult to fully automate. Cadorin notes that despite decades of technological progress, the robot takeover depicted in science fiction has not materialized in these sectors, and she sees no reason to expect it soon. Healthcare presents perhaps the most compelling case for human indispensability. AI can assist with diagnosis, analyzing medical images and identifying patterns that might escape human notice. Yet patients seeking treatment want more than algorithmic accuracy; they want reassurance, empathy, and the confidence that comes from human connection. Few people would feel comfortable receiving a diagnosis from a machine without a doctor's interpretation and counsel.
Yet Cadorin offers a crucial caveat: while these sectors may be relatively safe, professionals in all fields should remain vigilant about their own skills and knowledge. The current moment demands that workers understand AI, not out of fear, but out of practical necessity. Those who can leverage AI to enhance their productivity and effectiveness will have an advantage over those who ignore it. She suggests professionals ask themselves pointed questions: What do I offer that AI cannot? How does AI improve my work? What can I automate to free myself for higher-value tasks? The answer to these questions will determine not whether jobs disappear, but how work itself transforms. The future belongs to those who can work alongside the technology, not against it.
Notable Quotes
AI will increasingly serve as a pillar or relevant source for choosing paths, making decisions, and defining strategies—but the actual choices remain human responsibility.— Caroline Cadorin, director of Assigna
Professionals should ask themselves: What do I offer that AI cannot? How does AI improve my work? What can I automate to free myself for higher-value tasks?— Caroline Cadorin
The Hearth Conversation Another angle on the story
When Goldman Sachs says 300 million jobs could be automated, does that mean those jobs will actually disappear?
Not necessarily. Automation and elimination are different things. A job can be partially automated—certain tasks removed—while the role itself remains. The question is whether what's left still requires a human.
So what makes a job truly safe from AI?
Work that requires judgment calls with real consequences, or work that depends on human connection. A doctor diagnosing an illness with AI's help is still a doctor. A therapist using software to track patient progress is still a therapist. The human element is what patients actually pay for.
What about creative work? Can't AI generate a perfect ad campaign now?
It can generate something. But there's a difference between generating and creating. A campaign needs to understand a specific audience, their moment, what will move them. That requires someone who understands human behavior, culture, context. AI doesn't have that.
Is there any job that's completely safe?
Strategic leadership is probably the safest. Someone has to decide what the organization becomes, what risks to take, what values matter. AI can inform that decision, but it can't make it. The responsibility has to land somewhere human.
So the real risk is for people who don't adapt?
Exactly. The people who will struggle are those who refuse to learn how AI works or how to use it. If you can't answer the question "How does this technology make me better at what I do?" then you're vulnerable. Not because your job disappears, but because someone else will do it better.
What should someone do right now?
Get curious. Understand what AI can and can't do. Figure out where it saves you time. Then use that time for the work only you can do—the thinking, the judgment, the human connection. That's your edge.