Search interest in ChatGPT is up 2,633% since last December, shortly after its launch. For the artificial intelligence and machine learning industry, and those working in technology as a whole, OpenAI’s chatbot represents a true crossbreed of the Rubicon.
A generative form of AI, it uses prompts to produce content and conversations, while traditional AI looks at things like pattern detection, decision making, or classifying data. We are already benefiting from artificial intelligence whether we realize it or not, from Siri in our Apple phones to the choices Netflix or Amazon Prime make for us to the personalizations and cybersecurity behind our commercial interactions.
ChatGPT is just one of an increasing number of generative AI tools, including Bing Chat and Google Bard. DeepMind’s Alpha Code writes computer programs at a competitive level; Jasper is an AI copywriter, and DALL-E, MidJourney, and Stable Diffusion can all create realistic images and art based on a description you give them.
As a result, generative AI is now firmly embedded in mainstream consciousness, with much praise for ChatGPT’s user-friendly interface and ability to produce results that can be as sublime as they are ludicrous. Want it to produce some Python code? Of course – and it can get you a funny Limerick too, if you like.
How generative AI will impact the job market
According to Sales team57% of senior IT leaders believe generative AI is a game changer, and because it’s intuitive and helpful, end users like it too.
While your job may be safe from AI (for now), ChatGPT-generated content is in the top 20% of all candidates shortlisted for a position as a communications consultant at marketing firm Schwa, and has also passed Google’s Level 3 technical coding interview.
Roles likely to resist the advent of generative AI include graphic designers, programmers (although they will likely use AI tools that speed up their process), and blockchain developers, but many other jobs are likely to be performed by AI in the ( almost) ) future.
These include customer service tasks – chatbots can do this efficiently. Accounting or bookkeeping functions are also likely to be replaced as software can perform many of these tasks. In manufacturing, millions of jobs will be replaced by smart machines that do the same job, but faster.
But while AI can replace some jobs, it will also generate a slew of new jobs.
The World Economic Forum predicts that the technology will create 97 million new jobs by 2025. Jobs specifically related to the development and maintenance of AI and automation will increase as AI integrates across multiple industries.
They can be data detectives or scientists, fast engineers, robotics engineers, machine managers and programmers, especially those who can code in Python, which is essential for AI development. AI trainers and those with capabilities in modeling, computational intelligence, machine learning, math, psychology, linguistics, and neuroscience will also be in high demand.
Healthcare appears to be benefiting as well, with PwC estimating that jobs for AI-assisted healthcare technicians will see an upward trend. One sector already creating new jobs is automated transportation with Tesla, Uber and Google investing billions in AI-powered self-driving cars and trucks.
If you want to work in AI right now, there are plenty of jobs available. Discover three below, or check out the House of Talent Job Board for many more opportunities.
Staff Data Engineer, Data & ML Products, Adevinta Group, Amsterdam
Adevinta is looking for a first class Staff Data Engineer to join the team and make a global impact in an exciting and dynamic environment. You build and run production-grade data and machine learning pipelines and products at scale in an agile setup. You work closely with data scientists, engineers, architects and product managers to create the technology that generates data and turns it into applications, insights and experiences for users. You must be familiar with privacy regulations, be an ambassador of privacy by design and actively participate in department-wide, cross-functional technical initiatives. Find out more here.
AIML – Annotation Analyst, German Market, Apple, Barcelona
Apple’s AIML team is passionate about technology and focused on enriching the customer experience. It is looking for a motivated annotation analyst who can demonstrate active listening, integrity, acute attention to detail and a passion for impacting the customer experience. You must be fluent in the German language with excellent comprehension, grammar and proofreading skills, as well as excellent English reading and writing skills. You must also have excellent active listening skills, with the ability to understand verbal nuances. Read more about the vacancy here.
Artificial Intelligence Product Owner – M/F, BNP Paribas, Paris
As Product Owner Artificial Intelligence you report to the head of the CoE IA and ensure improvements to data science tools (Stellar, Domino, D3) to integrate the needs of data scientists and data analysts in particular. You also participate in all rituals of the Agile methodology and organize sprint planning, sprint review, retrospective and more for team members. You will also become the Jira and Confluence expert. If this sounds like a feature for you, you can learn more here.
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