“AI Whisperers” are in great demand in companies
According to a Goldman Sachs report, 300 million jobs worldwide could be at risk from AI tools like ChatGPT. Administrative and legal functions are particularly affected.
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Because of GPT-4: “AI Whisperers” are in great demand
One job that won’t be replaced, at least in the near future, is that of prompt engineer. The “AI whisperers” have been among the most sought-after specialists since the run on the services of ChatGPT and Co.
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Like Bloomberg reported, the Google startup Anthropic has just advertised a position as a prompt engineer. Annual salary offered: up to $335,000. After all, there are 230,000 dollars at the Californian company Klarity for a similar position.
The requirements are the same: develop prompts, i.e. commands for the AI tools, with which the best output can be teased out. The Prompt Engineers act as a kind of interpreter between man and machine.
Interestingly, among the prompt engineers in English-speaking countries there are many graduates from the fields of history, philosophy or language. After all, generative language models such as OpenAI’s GPT-4 are about designing the shortest possible commands for the most comprehensive result possible.
In addition to the IT companies that design AI models themselves, the demand for prompt engineers also comes from completely different areas, such as financial companies, law firms or insurance companies. They are all currently experimenting under high pressure with the use of ChatGPT and other AI chatbots or AI tools.
Meanwhile, the highest salaries can be demanded by people who have founded an AI startup themselves or who can demonstrate other high-quality AI expertise. Professional prompt engineers can currently set their own price.
But whether every company can and wants to afford such professionals is another matter entirely. The question is also how long the run on the “AI whisperers” will continue.
Just two years ago, experts in the fields of blockchain, non-fungible tokens (NFT) and cryptocurrencies were just as much in demand as AI experts are today. At the crypto companies, on the other hand, there were large waves of layoffs.
Adrian Weller, research director for machine learning at the University of Cambridge, is correspondingly cautious about the current situation.
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“I wouldn’t be so sure that things will go on like this for long,” says Weller. Interested parties should also not dwell too much on the current status of prompt engineering. “It’s starting to develop pretty quickly.”
