Demand for AI skills is surging, with job postings growing 3.5x faster than all jobs.,AI skills can boost your salary potential by up to 25% in some markets.,Key AI skills to focus on include prompt engineering, data analysis, and continuous learning.
The AI Workforce Gap: A Looming Crisis
Imagine a world where most workers are yet to harness the power of Artificial Intelligence (AI). Surprisingly, that's our current reality. According to The Workforce Index, a recent study by Slack, two-thirds of workers have not used AI tools at work, and over 90% do not trust AI for their work projects. This stark contrast between the urgent need for an AI-boosted workforce and the lack of AI skills among employees is a ticking time bomb.
The Rising Tide of AI Jobs
As executive urgency to incorporate AI tools into business operations surges, the demand for AI skills is skyrocketing. PwC's Global AI Jobs Barometer report reveals that job postings for AI roles are growing 3.5 times faster than all jobs. Moreover, jobs requiring AI skills command up to a 25% wage premium in some markets. To stay relevant in this rapidly evolving job market, acquiring AI skills is no longer a luxury but a necessity.
3 In-Demand AI Skills for 2024
- Prompt Engineering
Enjoying this? Get more in your inbox.
Weekly AI news & insights from Asia.
Prompt engineering, the process of guiding generative AI solutions to generate desired outputs, is a fundamental and sought-after skill. Lydia Logan, IBM's vice president of global education and workforce development, emphasises that prompt engineering is a gateway skill opening doors to numerous opportunities. Mastering this skill can boost your salary by up to 47%, making it the highest-paying tech skill today. For practical insights, learn how to use Ideogram.ai for creative projects.
- Data Analysis
In our data-driven world, data analysts who can manage large data sets are in high demand. With AI's insatiable appetite for data, data skills have become even more valuable. Data analysts can realistically expect to earn upwards of $110,000, according to salary research sites like Salary.com. The importance of data in the age of AI cannot be overstated, as discussed in How AI Recalibrated the Value of Data.
- Continuous Learning
Demonstrating flexibility and a willingness to learn is highly valued by employers. Gaining certifications not only proves your technical expertise but also shows your commitment to professional growth. Aaron Sines, director of talent, AI and machine learning, at Razoroo, highlights that an eagerness to learn is the most significant soft skill he seeks when hiring for AI roles. This emphasis on adaptability aligns with the idea that Why AI Won't Replace You If You Evolve.
Embrace the Future: Master AI Skills
This year, focus on mastering generative AI and prompt engineering, data skills, and cultivating a continuous learning mindset. Your efforts will pay off, propelling you to the forefront of the AI-driven workforce of 2024. The World Economic Forum's "Future of Jobs Report" further underscores these trends, highlighting the growing demand for green and AI skills across industries World Economic Forum - The Future of Jobs Report 2023.
Comment and Share
What steps are you taking to acquire AI skills and stay relevant in the rapidly evolving job market? Share your thoughts below and don't forget to Subscribe to our newsletter for updates on AI and AGI developments.
Latest Comments (2)
"Right then, this AI skill gig is certainly picking up steam, isn't it? Just stumbled upon this piece. While prompt engineering and data analysis are certainly key, I'm a bit dubious about "continuous learning" being a distinct 'skill'. More of a mindset, surely? Still, need to chew on this a bit more. Cheers for the insights!"
This article's "must-have" list for 2024 is quite a solid read, thanks for putting it out there. It’s interesting to see data analysis and continuous learning consistently appear in these kinds of predictions. For prompt engineering, which is obviously a big deal now, I’m wondering if the current rapid advancements mean the skill will become more about understanding AI behaviour at a deeper, almost psychological level, rather than just crafting clever inputs. Like, how much more nuanced does it get beyond the syntax? Just curious what your thoughts are on that evolution.
Leave a Comment