Generative AI and the modern dog have a lot in common.
Humans began domesticating wolves by using them as hunting companions, an innovation that allowed humanity to hunt on a large scaleaccording Whit Andrews, Senior Vice President Analyst at Gartner. From there, dogs were used as a watch and protection for invaders and to help raise and care for other animals.
In other words, dogs — much like AI — have specialized use cases based on the task they’re doing. For the shepherd, the presence of dogs allows better protection of the flock and easier movement of the flock from point A to point B. Shepherds can manage larger flocks as well.
“You have to ask yourself, though, does this mean that being a pastor is something fundamentally different? Andrews said.”[If] I have many helpers in the herding, and my work as a shepherd is basically strategic.”
A common fear associated with AI is that it will take jobs away from people. In fact, experts say generative AI will raise the bar for most jobs, from repetitive tasks to more strategic tasks. Some jobs are likely to be lost or disrupted, but AI can create new roles as well, a process that is already beginning.
Generative AI could replace up to a quarter of current work in the United States and Europe, Goldman Sachs Economics Research Offers posted last week. around Two-thirds of current jobs are exposed to some degree of artificial intelligence and automation in the United States and Europe, According to the report.
Work interruption due to automation
Most industries could see some level of automation, from education to technology.
For finance-related jobs, such as accountants, financial advisors, and merchants, automation and generative AI can generate financial reports and replace customer service. It would be difficult to automate duties such as personal financial planning and personal legal and tax advice, according to to Bill Wong, Principal Research Director, Info-Tech Research Group.
Generative AI is expected to raise annual labor productivity growth in the United States by just under 1.5 percentage points over the 10-year period after its widespread adoption, according to Goldman Sachs research. The report said such a boost could lead to an increase of 7% – or roughly $7 trillion – in annual global GDP over a 10-year period.
“The increase in labor productivity growth could be smaller or much larger depending on the level of difficulty of the tasks that AI will be able to perform and how many jobs will eventually be automated,” the report said.
Some programmers already have experience with AI-assisted coding tools or generators. Within the first month of GitHub Copilot’s public release, the platform An AI-powered programming tool Added 400,000 subscribers. The autocomplete tool uses generative artificial intelligence technology made from OpenAI manuscript sample. In February, GitHub Copilot was responsible for an average of 46% of code generated when using the tool, up from 27% of code in June.
Programmers and data analysts can automate code generation and generation as well as unit testing. However, the way a technologist understands a user’s requirements and an engineer’s complex solutions will be difficult to automate, according to Wong.
“Programmers do more than just code,” Wong said. “[They] Spend time designing, brainstorming, collaborating, and evaluating business requirements to improve code quality.”
But this does not mean that generative AI cannot help support programmers. Wong said that leading organizations are using generative AI to augment programmers, not replace them.
“When ATMs came along, they thought tellers would disappear, but now tellers are doing much more complicated things,” said Wong. “You may need fewer tellers, but each one does more and that’s what we think we’ll see programmers do.”
Create new jobs
While generative AI will likely disrupt jobs, there will also be new roles being created. This is not a new phenomenon.
Three out of five workers today are in occupations that did not exist in 1940,” implying that More than 85% of employment growth over the past 80 years is explained by the creation of new technology-driven jobs,” research from a Goldman Sachs report shows.
One of those new roles created from the evolution of generative AI and large language models is an agile engineer.
On-the-spot engineers develop and improve directives to efficiently use language models for a variety of applications and research topics, according to Engineering Quick Guide Powered by DAIR.AI posted on github.
Job advertisements for immediate engineers appear across sectors. anthropic A Google Partner The selected participant in Salesforce’s Generative AI FundAnd Post a job description for Fast engineer and librarian. The candidate will build a library of high quality prompts or instant strings with an easy guide to help users find what they need.
Boston Children’s Hospital Post a job listing for an AI Express Engineer, which requires candidates to have five years of experience in engineering, development, or coding in Python or similar languages and at least two years of experience in AI and natural language processing. One goal is to design and develop AI claims using the LLM for healthcare research studies and clinical practice.
“The combination of significant savings in labor costs, new job creation, and increased productivity for non-displaced workers increases the possibility of labor productivity booms such as those that followed the advent of earlier general-purpose technologies such as the electric motor and the personal computer,” said the Goldman Sachs report.
But job creation is unlikely to come in a one-to-one transition that every worker feels comfortable with, Andrews said.
“It is very important that we respect the profound impact of this displacement,” said Andrews. “I am sure that no organization would disagree with the fact that when we end a job, we don’t necessarily provide an easy path for a person to move on to the next job.”