While most of us can agree that artificial intelligence in the service of growth and increased productivity is a net positive, the jury’s still out on its current and future impact on the job market. One thing is evident – the nature, and even the very definition of work, will not emerge from the current AI revolution without undergoing a transformation.
This article offers a balanced look at AI’s impact on job generation. It explores the new opportunities that AI gives rise to and touches on existing fields where the technology will leave its mark. Finally, it also addresses the legitimate employment concerns that naturally arise when a technology promises to fundamentally restructure our world as much as AI does.
AI as the Driving Force Behind a Reimagined Job Landscape
Even more so than with past disruptive technologies, the widespread adoption of AI is creating a slew of related, constantly evolving, and expanding roles. Some of these roles focus on fundamental research into various AI technologies. Others tackle the inevitably increasing need to oversee and fine-tune the workings of an ever-increasing number of AI technologies.
It is yet uncertain whether enough new jobs will be generated to offset displacements in other areas. However, it is already clear that skills related to researching, implementing, and operating AI tools are in high demand.
High demands, shifting skill set priorities
There’s currently a chasm between the scope of emerging opportunities and the limited number of specialists in fields like data science, machine learning, and robotics. Companies vying to secure top talent don’t flinch at offering exceptional compensation and benefits, which is unlikely to change any time soon.
Even in the early stages of AI’s job market transformation, it’s evident that certain skills are becoming more valuable as others plateau or fall in demand. Technical skills in AI-related fields are the expected forerunners, yet they don’t and can’t exist in a bubble. AI is neither a replacement for critical nor for creative skills. There’s also an increasing need for interpersonal skills essential for liaising between cold technical decision-making and human stakeholders.
Emerging AI-related job opportunities
Most emerging roles play a part in shaping and effectively using AI systems. For example, AI trainers evaluate and improve model behaviors. They help models go from serviceable yet general to domain-specific, complete with expected tone, conventions, and reasoning.
Data quality specialists ensure the datasets and models are trained on, and references are consistent and error-free. They also reinforce standards, removing any low-quality data while making sure models uphold compliance and privacy.
Prompt engineers optimize human – AI interactions by crafting and testing input templates. This lowers per-prompt costs and reduces error rates while creating guidelines that less AI-savvy colleagues can follow to achieve consistently good results.
AI ethicists play a less technical yet equally important role. They mitigate AI model shortcomings, like biases and the propensity to hallucinate, by developing coherent internal use policies and guardrails. They define acceptable use of AI and make sure that it aligns with an organization’s principles while positively impacting customers and society in general.
Neither prompt engineers nor ethicists can do their job correctly if the AI models they monitor and interact with are obtuse. AI ops engineers are responsible for integrating models into existing pipelines. More importantly, they ensure that their organization only uses tools like all in one AI platforms. Doing so guarantees that outputs and analytics can be monitored and logged to provide actionable insights into model behavior.
AI as a Transformative Factor in Existing Fields
Tech and finance are experiencing the greatest uptick in AI-related job creation. However, AI adoption is already far more widespread. If the definition is as broad as employees using LLMs or gen-AI to offload rote work or accomplish tasks faster, then almost 80% of businesses are already reliant on AI to some degree.
This doesn’t necessarily impact employment growth or churn. Rather, it compels existing employees to rethink their workflows and adapt to changes by upskilling in areas that will ensure their continued employment.
For example, graphic designers can use generative AI as a brainstorming and iteration tool. This streamlines that time-consuming part of the creative process while letting them maintain creative freedom in realizing the final project.
Doctors are another inspiring example. Their intuition, expertise, and bedside manner remain invaluable. Yet, AI diagnostics and patient monitoring tools can help them make more confident treatment decisions, better tailored to actual individual people.
AI as an Instrument of Job Displacement
It would be remiss not to also acknowledge the elephant in the room. If it isn’t accompanied by impactful retraining and upskilling initiatives, indiscriminate AI adoption may trigger a job displacement wave that will potentially impact hundreds of millions of people during the latter years of the decade.
The change isn’t only tectonic in scope; it’s also unprecedented in the type of work it impacts. Past technological leaps primarily impacted labor-intensive jobs – agriculture, resource extraction, and industry. Now, there’s a drop in demand for warehouse and assembly line workers, and it’s only a matter of time before professional drivers are impacted too.
On the other hand, administrative workers, copywriters, tax, HR, and marketing specialists, and even computer programmers are finding increasingly fewer employment opportunities. This is especially evident in the shrinking availability of entry-level roles that can largely be substituted by AI. Left unchecked, overreliance on AI could put younger workers at a disadvantage, leading to a loss of institutional knowledge as those in more senior roles age out of the workforce.
Conclusion
AI’s impact on job creation will ultimately depend on the vested interests of human stakeholders. The only prediction we’re confident in making is that the next several years will be tumultuous. They’ll also serve as a litmus test for future employment prospects.
