2023 stood out as a year of rapid advancements and widespread utilization in the field of artificial intelligence (AI). A multitude of large language models (LLM), such as OpenAI’s ChatGPT, Google’s Bard, and Meta’s Llama, have emerged, showcasing remarkable capabilities in natural language understanding, content generation, and sentiment analysis, revolutionizing diverse applications and reshaping the way we work. One notable emerging role has been prompt engineering, a novel position that entails crafting prompts (choosing the appropriate words, phrases, symbols, and formats) to evoke desired responses from large language models.
As we look ahead to the coming year, numerous questions arise:
- How will AI continue to shape our professional landscape?
- What shifts can we expect in the job market?
- How can individuals prepare themselves for these changes?
General Trends in Skill Demands
The World Economic Forum’s (WEF) Future of Jobs Report 2023 offers valuable insights into the changing job landscape. One of its key takeaways is the emergence of AI and Machine Learning Specialists as the fastest-growing roles. Sustainability Specialists and Business Intelligence Analysts closely follow, indicating a growing emphasis on environmental consciousness and data-driven decision-making.
These findings align with previous reports – here you can find my summary of the 2020 report. Roles consistently on the rise include Data Analysts/Scientists, AI and Machine Learning Specialists, and Digital Transformation Specialists. Conversely, roles in decline encompass Data Entry Clerks, Executive and Administrative Secretaries, and Accounting, Bookkeeping, and Payroll Clerks. This suggests a profound restructuring of labor markets rooted in technological adoption and automation.
The AI-driven Transformation of Existing Jobs
The impact of AI, however, extends beyond roles exclusively designated for AI specialists. In essence, jobs across various sectors are undergoing transformation.
This transformation is evident in content creation, where AI is capable of generating news articles and summarizing reports. This shift will have a significant impact on professions in media and communications.
In the realm of marketing, the traditional role of marketing managers, which relied on intuition and historical data for decision-making, is evolving. AI-powered analytics tools can now sift through vast datasets and optimize marketing strategies in nearly real time.
Similarly, in customer service, there’s been a notable change. Historically, customer service representatives handled inquiries and complaints via traditional means like phone or email. However, AI-driven chatbots and virtual assistants now manage routine queries, allowing human agents to focus on more complex and emotionally sensitive interactions with customers -although it’s worth noting that AI is also entering the realm of sentiment analysis, further enhancing its role in customer interactions.
The field of engineering is also evolving, as some of my previous research has shown, not solely through the introduction of new positions such as machine learning engineers. Engineers are expected to be proficient in handling and interpreting large datasets. AI-driven tools aid in simulation, design optimization, and predictive maintenance, making data analysis a critical component of engineering tasks.
Furthermore, as AI becomes increasingly intertwined with development, professionals must be adept at evaluating the ethical, societal, and safety considerations associated with AI-driven solutions. This has become a regulatory requirement, exemplified by the recent adoption of the first AI Act in the EU, which mandates developers to assess the risks posed by their AI systems.
Exploring next steps
These shifts necessitate a holistic approach to professional development. The WEF Report states that 60% of workers will require additional training by 2027.
Six in 10 workers will require training before 2027WEF Future of Jobs Report 2023, p.7.
In the fast-paced digital realm we navigate today, the art of mastering digital tools and platforms has become nothing short of a necessity. No matter your professional playground, the ability to decode the language of data is your golden ticket. Enroll in specialized courses that unravel the mysteries of data analysis and interpretation. Simultaneously, let’s not forget the superhero of skills – critical thinking – helping you evaluate the broader implications of emerging technologies within your specific field.
Consider equipping yourself with the basics of AI and LLMs. The newly emerging concept of AI literacy as a bundle of knowledge and competencies to understand, use, apply, create, and (ethically) evaluate AI technologies will prove pivotal in the years to come. Luckily there is a plethora of easily accessible resources opening avenues for continual learning in this dynamic realm.
In conclusion, the future of jobs is dynamic and technology-driven. While AI and Machine Learning Specialists are on the rise, existing job-roles are also evolving. To navigate this landscape successfully, we must commit to lifelong learning and embrace interdisciplinary skills. As we embark on this journey, remember that learning is not a destination but a continuous path toward success in the ever-changing world of work.