By Danny Aspinall
Conversations around artificial intelligence (AI) are all the rage right now, particularly in the tech sector, where rapid developments are creating exciting new opportunities for both organizations and tech professionals.
Amongst the hottest topics is generative AI, which promises to streamline business processes and maximize efficiencies while carving out a wide range of new paths for talent to explore. In fact, hundreds of startups are already gaining momentum with their solutions in this space.
And it’s not going anywhere. According to the World Economic Forum, over three-quarters of organizations plan to adopt AI and Machine Learning (ML) in the next five years.
AWS services and capabilities democratize the use of generative AI by making it more accessible to all industries and customer types, meaning now’s the time to get in the know to ensure you can capitalize on everything generative AI has to offer.
As Vice President of Database, Analytics, and Machine Learning at AWS, Swami Sivasubramanian, noted in his AWS NYC Summit 2023 keynote, “generative AI has captured our imaginations [and] this technology has reached its tipping point.”
But what exactly is it all about? How can generative AI benefit organizations across different industries, and what new doors does it open for talent across the AWS community? Let’s explore.
The Jefferson Frank Careers and Hiring Guide: AWS Edition provides a market-leading insight into trends across the Amazon Web Services community.
Generative AI is a type of artificial intelligence…obviously.
More specifically, it’s artificial intelligence capable of creating content and ideas—be that text, images and videos, or prototypes and synthetic datasets.
It’s powered by generative machine learning models often referred to as foundation models (FMs), which are pre-trained on the patterns and structure of vast amounts of input data. A class of these FMs—like GPT models, for example—are commonly called large language models (LLMs) and focus on performing language-based tasks like content creation and information extraction.
Because these FMs are exposed to such a large scale of data and parameters, LLMs are supremely capable of learning advanced concepts and applying them to a wide range of different contexts. Best of all, they’re adaptable to perform domain-specific functions by being highly customizable, meaning organizations can build widely varying applications with FMs using just a small sample of data and compute compared to what’s needed to train a model from the ground up.
As we’re sure you’re aware, generative AI applications have already demanded the attention of business leaders with applications such as ChatGPT—and according to Goldman Sachs, this increased adoption of generative AI could accelerate productivity growth by 1.5 percentage points across the next 10 years, leading to a 7% increase in global GDP worth almost $7 trillion. Yep, $7 trillion.
Yet while this sure sounds mighty impressive, what does it actually mean for organizations and their day-to-day operations?
Some of the fundamental use cases for generative AI on AWS include:
With such a huge variety of fundamental uses, generative AI can benefit organizations in a whole lot of different ways, including:
But of course, this barely scratches the surface of what organizations can achieve with generative AI on AWS. Industries such as Financial Services, Healthcare and Life Sciences (HLS), Automotive and Manufacturing, Media and Entertainment, Telecom, and Energy are well-poised to benefit from higher-level, advanced applications of generative AI sooner than most.
While the opportunities presented by generative AI sound super exciting for organizations, its adoption and implementation is unlikely to be quite so straightforward.
As with all emerging and fast-developing technologies, organizations will rapidly be on the hunt for professionals with the skills and expertise they need—but real-world experience with generative AI is extremely limited right now, meaning the talent pool currently lacks qualified professionals. In fact, according to our database, less than 10,000 candidates list generative AI or LLM as something they have experience working on daily, while just 6,800 candidates list MLOps as something they practice day to day.
The table below shows just how small the qualified candidate pool is right now.
As demand grows bigger for talent in this area, this skills gap will only continue to widen—we anticipate the job-to-available candidate gap to be close to four to one by the end of the year.
As a result, employers must be prepared to explore alternative solutions and dip outside the pool of experienced talent, turning to candidates with similar skill sets like:
Knowing how to find professionals with not-so-dissimilar skill sets, strong expertise, and the aptitude to pick up new concepts quickly will be integral for organizations looking to get ahead of their competition in this space.
Generative AI promises to create a sea of new opportunities for professionals in the AWS community.
Don’t believe us? Since the start of 2023, the number of organizations looking to hire talent specifically for their generative AI solutions has increased by over 500%, with over 8,500 openings posted by all types of organizations. In fact, 768 of these vacancies were posted by organizations looking for candidates to help build generative AI products on AWS in July alone.
Organizations in the HLS sector dominated these openings, especially in the startup space—over a fifth (22%) of job postings in July were tied to organizations in or building HLS solutions.
Of these positions, the most in-demand candidates were:
Yet the most exciting part is that this is just the start of what looks set to be an explosive spike in demand for professionals experienced and/or knowledgeable in generative AI solutions, opening the doors to an array of new career opportunities for those qualified candidates, and those with similar skill sets who are keen to upskill and grow.
With so much to offer, it’s little wonder both business leaders and professionals across the AWS community are keen to begin experimenting with generative AI—but knowing where to start can be tough.
Not only do business leaders need to understand the fundamentals of what AI can unlock for their organization, but they also need to put the right foundations in place to prepare their businesses for successful AI and ML integration. All the while, AWS professionals need to begin building their skills and expertise in this area to meet the demand for qualified talent.
Luckily, AWS offers invaluable skills training on generative AI for people of all roles and experience levels, empowering professionals, decision-makers, and AWS Partners to better understand use cases and begin leveraging generative AI solutions effectively.
The generative AI options available through AWS unlock a whole new world of exciting possibilities for both organizations and professionals across the AWS community, and as AI/ML solutions continue to evolve, its impressive capabilities will only continue to grow. That means whether you’re an AWS professional looking to get ahead in your career or a business leader searching for new innovations and optimizations, it pays dividends to begin investing your time, effort, and resources into generative AI today.
Einblicke in den AWS-Markt