Outlook 2023: Artificial intelligence will usher in white-collar jobs

Artificial intelligence is generally considered to be capable of simple and repetitive tasks that require more physical strength, patience, and risk, such as manufacturing production positions, logistics, or customer service work. But artificial intelligence experts say recent advances in large language models (LLMs) show that white-collar and professional jobs will also be affected. Figuring out how AI and humans can coexist in the workplace will be a key topic in 2023 and beyond.

Peter Wang, CEO of Anaconda, a provider of data science tools, said: "Some innovations in large-scale language models and artificial intelligence technology will change traditional white-collar enterprises and white-collar occupations. This will create really interesting social and cultural dynamics that will largely stabilize over the remainder of this decade and will impact the 2030s."

Large-scale language models like GPT- 3 and BERT, have already made progress in the field of conversational artificial intelligence. Companies have replaced or augmented call center workers with artificial intelligence that can understand typed or spoken requests and provide helpful information. This technology also has the ability to replace information workers.

For those of you who have basically a desk job and say they do the same thing every day, they don’t have to think too much about it – you’d better be careful because there’s a good chance the job will automatically cancel itself. In the next five years, there will be so much data, it will be directly connected to each other, and then you will have no reason to clock in every day.

ChatGPT is the latest artificial intelligence tool that has attracted people’s attention recently. OpenAI released this new interface for the GPT-3 model to the public on November 30, and it quickly attracted more than 1 million users. This service demonstrates an exceptional ability to provide detailed responses to questions. In addition to producing written content, it also demonstrates the ability to code.

Jonas Kubilius, an artificial intelligence researcher and CEO of AI company Three Third, believes that artificial intelligence models such as Stable Diffusion, GPT-3, and GitHub Copilot are evolving to be able to handle text, images, audio, and other multitasking Input multimodal model. Ultimately, the content generated by these models will be transformed into a business model that brings profits to developers and content creators.

We will start to see a shift away from using artificial intelligence for static tasks, such as classification, to language model-driven interactive workflows to help people perform tasks more efficiently, he said.

However, these models also have potentially nefarious uses. Security researchers warn that ChatGPT's ability to string together words and script code may also make it suitable for use as a hacking tool. Check Point Research has released a report detailing how OpenAI’s latest invention can be used by cybercriminals to conduct spear phishing attacks.

Check Point Research writes: “The expanding role of LLM and AI in the cyber world is full of opportunities, but also comes with risks. Complex attack processes can also be automated, using the LLM API to generate additional malware components .”

AI developers often use APIs to access pre-trained models, such as GPT3. However, much of the technology behind large language models is open source, allowing developers to use it themselves. Sri Ambati, CEO and founder of H2O.AI, a provider of data science tools, said the combination of more data, open AI tools and better education is lowering the barriers to leveraging AI.

Ambati said: “This is really the biggest obstacle for our customers. Not all customers have top data scientists who are constantly learning. Everything about building these models is no longer limited to having great data scientists understand what is happening every day. of all deep learning frameworks. So more people can start building these models in a very simple low-code, no-code way."

Hayley Sutherland is a research manager at IDC and is tracking the conversation market for artificial intelligence tools and technologies. Many people are surprised by the performance of conversational human systems, she said. Over the past few years, businesses have really seen a return on investment from conversational AI…

Replacing all humans with AI is not feasible. Companies are now trying to figure out where AI works best and where humans work best.

She said: "Probably the best way to leverage AI is to understand how it can be used to augment human capabilities. It's a balance that we've really seen, especially in the last year, when they're competing with so-called During the great resignation struggle.”

With a 2023 recession looming, labor force participation rates still declining due to COVID-19-related economic disruptions, and upward pressure on wages due to inflation, companies will be more motivated than ever to push AI in the enterprise development of. Technology companies want application companies to explore these boundaries and create new business opportunities.

Starting next year, we will see a staggering number of imprecise use cases that were not easily automated in the past, suddenly becoming easier to automate. More use cases will be handled by these AI systems.

So far, most people are not optimistic about the ability of artificial intelligence to replace creative workers, although they do see the potential of artificial intelligence to liberate creative workers by automating boring and repetitive parts of work. . This may help stimulate the production of more creative content that engages audiences in new and interesting ways.

We are going to enter a strange world in the future. Many jobs may be replaced. Not only blue-collar jobs and labor are replaced by intelligent robots, but also many traditional white-collar workers are replaced by artificial intelligence systems. .

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