AI takes basic software tasks
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Currently, it is well established that artificial intelligence reshapes the jobs of today and tomorrow. But to what extent?
Almost half (46%) of skills in typical American employment posts can be subject to “hybrid transformation” by Genai, a study Released by indeed programs. “Human surveillance will remain critical when applying these skills, but Genai can already carry out an important part of routine work,” suggests the authors of the study. The factors affecting these predictions “will depend on the speed with which companies adopt Genai and how workers adapt and remain,” they add.
Ironically, the creators and the implementors of AI systems are most likely to see the impact of the AI they create. The professions in information technology, in particular the development of software, are more exposed, according to the report. At the opposite extreme. The roles requiring more physical presence and human interaction, including nursing, are probably less affected. Genai can reshape administrative tasks, such as invoicing and planning health care, but that’s it.
A large majority (81%) of the skills mentioned in the publication of typical software development work enters the hybrid transformation classifications. On the other hand, two thirds (68%) of the skills listed in the typical publication of nursing employment employment enter the minimum processing category.
Then there are jobs likely to be fully replaced by AI – always a small minority, but showing that the signs of IA slipped. Last year’s survey has not revealed that no competence would be fully replaced by Genai. Now, this percentage has reached at least 19 skills (0.7% of all the skills analyzed) which are “very likely” to be fully replaced by the Genai. “Always small in absolute terms, but a significant signal of progress,” said study authors.
The best jobs most open to AI hybrid transformation include the following elements (percentage exposed to potential transformation)
Software development 81%
79% data and analysis
Accounting 74%
IT infrastructure 71%
IT systems 70%
70% insurance
Bank and finance 70%
Marketing 69%
Administrative assistance 67%
Customer service 66%
Best jobs less likely to be affected by the hybrid transformation of the AI include the following elements: “
Care 21%
Nurse 25%
Construction 25%
Drive 28%
Home Personal Care / Home 30%
Production and manufacturing 31%
Veterinarian 31%
Installation and maintenance 31%
Preparation and food service 33%
Doctors and surgeons 36%
The high vulnerability of software and computer work is due to routine aspects, reproducible and based on coding information – including the provision of explanations, code samples, debugging and architectural advice. “This could mean that Genai supports routine coding tasks, human developers will” do the work “to” direct the work “, according to the authors. “In nine of the first 10 families of skills most often found in software development work, Genai can now carry out the process while humans validate, refine and contextualize the results.”
Another industry report has deepened a dive into the impact of AI on information technology jobs. The impact is already substantial, the report Outside the Dora initiative by Google Cloud – Devops Research and Assessment Group.
Although the report focuses on software developers, there are implications in many professions – namely ruptures in the generational chains that form the workforce.
“It is a question of transmitting tacit knowledge difficult to document,” wrote Matt Beane, Ph.D., associate professor at the University of California, Santa Barbara and Digital Stock Exchange in Stanford and put in the Dora report. “In more than 31 professions, the default use of intelligent automation modifies traditional learning models, leaving fewer opportunities to novices to engage in practical work essential for their development.”
To its best, “the three -generation – junior, intermediate, senior model – helps developers acquire the joint problem solving skills, not formal training. We must study the effects of the deployment of AI on this process taken for reception.”
The AI is developed and deployed “at an unprecedented speed,” he continued. “And we do not know how human capacities will adapt to these changes. Instead, many focus on the measure of productivity linked to AI. ” An effect of the adoption of AI is that it “blocks the development of skills for most developers. To keep our innovative advantage – both individually and collectively – we must use AI itself to measure the development of skills and productivity simultaneously ”.
This means accelerating training to help professionals adapt to this rapidly evolving world. “Suppose the fastest you have ever traveled is to walk at four miles per hour, and that someone asks you to drive a car at 50 miles per hour,” wrote Gene Kim, researcher and co-author of Vibe Coding. “Without practice or training, you will undoubtedly destroy the car. We have concluded that when AI significantly accelerates the development of software, our control systems – it is us – must also accelerate. ”
This requires “fast feedback loops – faster than ever – to match the generation of accelerated code,” uglified Kim. “We need a climate for learning, especially given the idiosyncratic nature of AI and its rapid advance rate.”
