Tools & Platforms
AI is radically changing entry-level jobs, but not eliminating them
The ongoing rise of artificial intelligence is having a significant impact on many types of jobs, particularly entry-level positions and especially on roles that involve lots of automation. And while AI might not be eliminating a large percentage of early career jobs, as recent headlines have proclaimed, it certainly is changing them in a big way.
“AI is reshaping entry-level roles by automating routine, manual tasks,” said Fawad Bajwa, global AI, data, and analytics practice leader at executive search and leadership advisory firm Russell Reynolds Associates. “Instead of drafting emails, cleaning basic data, or coordinating meeting schedules, early-career professionals have begun curating AI-enabled outputs and applying judgment.”
For example, people working in entry-level marketing jobs are using generative AI to create first drafts of promotional or campaign documents, and early career data analysts are relying on AI to prepare datasets, Bajwa said.
“AI is reshaping all jobs,” said Zanele Munyikwa, an economist at labor analytics firm Revelio Labs. He pointed out that hiring for entry-level jobs is down in general, regardless of AI exposure. “AI-exposed entry-level jobs are seeing bigger drops in demand, but the difference to non-exposed jobs is small,” he said.
Evaluating employee role AI exposure
What AI is doing is forcing an “occupational transformation” among entry-level roles, Munyikwa said. For example, the firm’s research has shown that tasks performed by junior-level professionals are shifting toward less AI-exposed functions.
The most AI-exposed jobs tend to be technical, such as data engineers, database administrators, IT specialists, and cybersecurity personnel, as well as financial workers such as auditors, Munyikwa said. And in an interesting twist, the most exposed jobs are also adopting AI the most, making them more productive, he said.
In some of these occupations, up to 30% of workers are already using AI to perform their day-to-day tasks, according to Revelio Labs’ research, and for those who use these tools, the productivity gains can be significant.
“Increases in productivity may eventually lead to fewer headcounts in certain job families, but also create jobs elsewhere,” Munyikwa said. “While AI may currently have some productivity boosting capabilities, it needs to be applied and used consistently across large parts of the organization to take effect.”
That requires investments in AI tool training and thoughtful restructuring of job requirements and capabilities, Munyikwa said. “This will take a lot of time and careful leadership to even partially achieve big cost savings,” he said.
Jobs with low AI exposure frequently involve tasks that are difficult to automate, the Revelio Labs’ research noted. These positions include manual jobs in manufacturing, hospitality roles, or interpersonal work, which still require a steady pipeline of human workers. Compared with 2010, demand for these roles has grown more quickly than for high-exposure roles, the research said.
Repetitive jobs are going, but not overnight
To be sure, AI is already eliminating some entry-level functions in companies. “Generally, jobs that are repetitive, rule-based, and easily codified are most at risk,” Bajwa said. Many are not disappearing overnight but rather are being fundamentally transformed and restructured to involve more oversight and less manual work, he said.
Although it is highly unlikely that there would be a significant impact on entry-level jobs in the short term, Bajwa said, “organizations must redesign how early talent is onboarded, developed, and integrated in order to navigate the decade ahead,” he said. “Without foundational tasks, it’s harder for people to build experience, leading to a fundamental gap in terms of how new professionals will build judgment, confidence and fluency.”
In fact, 54% of the 3,000 executives from Russell Reynolds’ global network that the company surveyed are concerned that AI reliance is eroding critical thinking, and one-quarter are worried about AI inadvertently undermining product/service quality and critical internal process quality.
A growing number of leaders across industries are also concerned about AI-driven layoffs, according to the RRA research. Last year 20% said they were concerned, compared with 40%in the latest survey.
CIOs and other technology leaders need to be prepared for the impact of AI on current and future entry-level jobs within their departments, especially considering how aggressively many are launching AI initiatives.
“It changes both talent strategy and team design,” Bajwa said. “Tech leaders must now rethink how they develop junior talent and build future pipelines. The goal isn’t just efficiency; it’s ensuring AI-augmented teams can still grow, learn and lead,” he said.
With the possible reduction in some entry-level technology positions, there is a potential for more top-heavy team structures, Muniykwa said. “Tech leaders need to redesign workflows and roles as they implement AI,” he said.
Businesses will need new “on-ramps”, for example, apprenticeships and AI-assisted boot camps, so early-career talent can still learn and advance even as some traditional entry-level tasks disappear, Munyikwa said. “Leaders must plan for continuous upskilling, not one-off training sessions, to keep teams productive alongside rapidly evolving AI tools,” he said.
Nvidia dropped solidly by -3.32%, with the trading volume of 42.33B. UAE AI company G42 is seeking to diversify its chip supply beyond Nvidia, including negotiations with tech giants like Amazon AWS, Google, Meta, Microsoft, and xAI for its planned AI park. Google is reportedly leading in these discussions.
2. Tesla (Nasdaq: TSLA)
Tesla dropped solidly by -3.50%, with the trading volume of 27.32B. Tesla’s CEO Elon Musk states that 80% of Tesla’s value will depend on the Optimus robot. Despite challenges in Europe, including executive resistance and competition, Tesla lowered Model 3 prices in China, marking its long-range version’s debut with a price cut.
3. Alibaba Group Holding Limited (NYSE: BABA)
Alibaba Group Holding Limited surged by 12.90%, with the trading volume of 10.94B. Alibaba plans to invest over 380 billion yuan in the next three years to boost its computing power industry, impacting domestic AI infrastructure. Its Q1 FY 2026 financial report showed a 10% revenue growth and a 76% net profit increase, exceeding expectations.
4. Microsoft (Nasdaq: MSFT)
Microsoft dipped mildly by -0.58%, with the trading volume of 10.63B. UAE AI company G42 is diversifying chip supplies to reduce dependency on Nvidia, engaging with tech giants like Amazon AWS, Google, Meta, Microsoft, and Elon Musk’s xAI for a planned AI park, with Google’s negotiations being the most advanced.
5. Apple (Nasdaq: AAPL)
Apple dipped mildly by -0.18%, with the trading volume of 9.16B. Apple is expanding its retail footprint in India with a new store, Apple Hebbal, set to open in Bangalore on September 2. This follows the openings of Apple BKC in Mumbai and Apple Saket in Delhi. Apple also plans to remove physical SIM card slots in more countries for the iPhone 17 series.
6. Alphabet (Nasdaq: GOOGL)
Alphabet gained mildly by 0.60%, with the trading volume of 8.44B. UAE’s AI company G42 is seeking to diversify its chip suppliers to reduce reliance on Nvidia. They are negotiating with major tech companies including Amazon AWS, Google, Meta, Microsoft, and Elon Musk’s xAI, with Google likely to sign a computing power procurement deal soon.
7. Palantir Technologies (NYSE: PLTR)
Palantir Technologies dipped mildly by -0.89%, with the trading volume of 7.27B. South Korean retail investors showed significant interest in Palantir Technologies, with substantial net purchases over the past week.
8. Meta Platforms (Nasdaq: META)
Meta Platforms dipped mildly by -1.65%, with the trading volume of 6.70B. Meta and Scale AI’s partnership faced challenges as major investment leads to strained relations and data quality concerns. Additionally, Meta plans to release a smart glasses SDK, diverging from trends by opting for LCoS over Micro LED technology.
9. Broadcom (Nasdaq: AVGO)
Broadcom dropped solidly by -3.65%, with the trading volume of 6.42B. Broadcom (AVGO.US) is expected to report a 21% revenue increase to $15.82 billion for Q3, with EPS projected at $1.66. Oppenheimer reaffirmed its “outperform” rating, raising the target price to $325. The AI business could exceed $5 billion in revenue.
10. Marvell Technology (Nasdaq: MRVL)
Marvell Technology plunged by -18.60%, with the trading volume of 6.19B. Company XYZ announced plans for global expansion, focusing on emerging markets and sustainable initiatives. New partnerships aim to enhance technological capabilities, while leadership emphasizes innovation and growth potential.
A new JD Pwoer study reveals which AI features drivers actually love and which ones are still frustratingly confusing
31 minutes ago
- Owners are proving particularly receptive to smart climate control systems.
- Genesis took out top honors for innovation for the fifth consecutive year.
- There is also growing demand from buyers for in-car payment systems.
Artificial intelligence has been steadily weaving its way into everyday life, from the phones in our pockets to the services we rely on daily. The auto industry has been no exception, and AI-driven features are now shaping how people interact with their cars.
Α new study from J.D. Power has found that while some of these features are being well-received by consumers, there are many others that need work before they actually start adding to the ownership experience.
Read: JLR Is Now Using The AI Damage Scanners That Hertz Customers Hate
As part of an expansion of its annual U.S. Tech Experience Index (TXI) Study, J.D. Power looked at seven AI-based technologies that should, in theory, enhance the driving experience. Among them, one of the clear successes is smart climate control, which automatically manages heating, ventilation, and air conditioning to balance comfort and efficiency.
Smarter Comfort in Action
The study found that owners using these systems are now reporting 6.3 fewer problems per 100 vehicles (PP100) than before, a meaningful improvement. These systems also provide a much-needed workaround for the growing number of cars that have moved climate settings into touchscreen menus instead of physical buttons. J.D. Power’s broader studies back this up, noting that smart climate controls are now boosting both vehicle quality scores and customer satisfaction overall.
Other AI-based systems are also showing promise, such as smart ignition and driver preference modes. In-vehicle shopping and payment systems also drew attention, with 62 percent of owners expressing interest. So far, the most common uses are paying for fuel, tolls, parking, or EV charging, but past designs have struggled with clunky menus and limited apps.
According to the study, the next generation could succeed if automakers focus on simple, quick purchases tied directly to the driving experience.
Blind spot cameras stand out as one of the most appreciated technologies, with 93 percent of drivers saying they use them regularly and 74 percent wanting the feature in their next vehicle. Models equipped with blind spot cameras also tend to sell faster than those without, underlining just how valuable the technology has become.
Features That Miss the Mark
By comparison, several other AI features could be improved. For example, J.D. Power concluded that car wash modes becoming increasingly prevalent across the market have lots of room for improvement. These models automatically prepare a vehicle to go through a car wash, but it was found that this mode is often buried within the infotainment system, and 38 percent of owners say they need better instructions on how to use it.
Similar, recognition technologies remain a sticking point, posting the highest problem rates in the study. Biometric authentication alone averaged more than 29 issues per 100 vehicles, while touchless or hidden controls and direct driver monitoring each saw more than 19.
Which Brands Are The Best For Tech?
The study also compared automakers on their overall use of technology. Genesis once again led the pack, taking the top spot for the fifth year in a row, with Cadillac and Lincoln following behind.
The premium segment’s average score was lifted to 671 with Tesla and Rivian included, but both were excluded from the rankings since they did not meet the study’s award criteria. Even so, Tesla posted a standout score of 873 and Rivian followed with 730, according to J.D. Power.
In the mass-market category, Hyundai claimed the highest score for innovation, followed by Kia and, perhaps more surprisingly, Mitsubishi, which ranked ahead of GMC, MINI, and Toyota.
At the other end of the spectrum, Stellantis brands such as Jeep, Ram, and Chrysler landed at the bottom, while Jaguar held the lowest position among premium marques. And if you’re wondering about Tesla, while giving it a huge score at 873, JD Power said it
JD Power
GULF SHORES, Ala. (WALA) – The City of Gulf Shores is using the power of Artificial Intelligence to track events and make the city safer. It’s the only city in the state and one of just 40 in the country to use this particular AI system to monitor intersection activity.
“So, it tells me that this is a near-miss where a car cut another car off,” said Gulf Shores City Engineer, Jenny Wolfschlag as she referenced her computer monitor. “The first car was going southeast, and the second car was going westbound. It left a dot where the accident would have happened if they would have been traveling at a little bit different speed and actually hit each other.”
Wolfschlag has a new, high-tech tool to help her department analyze problems with traffic patterns and make decisions on the best safety-related changes to make. Gulf Shores is the first city in Alabama to put the DERQ-AI platform to work on the street and Wolfschlag said it’s already proving its worth.
“The data that we’re getting out of that system is fantastic,” Wolfschlag said. “One thing that it does that’s really interesting, it produces hot spot maps, so we can pull up a heat map and see in particular, where pedestrians are crossing illegally.”
The integrated camera system does far more than monitor traffic flow in real time. It is also tied into the city’s Centrac’s software platform, allowing on the fly adjustments to signal timing based on the amount, and direction of traffic. It can even track pedestrian traffic, something Wolfschlag sees as a valuable feature.
“For example, if you have a group of one or two people crossing the street, it will set a set time. It might give them twenty seconds to cross the street, but if it recognizes a person with a mobility aid, it can automatically adjust that and maybe give them twenty-five seconds to cross the street,” Wolfschlag explained.
Those driving around or walking to the beach would never know Artificial Intelligence was at work making the trip quicker and safer. Those I pointed it out to were impressed and happy to learn of the city’s investment into this technology.
“AI is changing so we might as well adapt to certain situations, but I think it will be good,” Austin Nguyen of Fairhope said.
“I think it’s a great idea,” agreed Mo Rhazi of Baton Rouge. “I think it’s always great to collect data and improve the safety and make sure that you can avoid. Always, a proactive solution is always better than reactive.”
Right now, the only intersection covered by this new AI technology in at Hwy. 59 and E/W Beach Blvd., but that will soon change. The goal is to have an AI device at every intersection between there and Fort Morgan Road.
“Since this really integrates that pedestrian with the vehicle movement, we thought it would be a good place to start. We’re also going to put in in the light at our new high school that is getting ready to open in August of next year,” added Wolfschlag.
It costs the city around $40,000 per intersection to install the DERQ – AI platform. The hope is that they’ll be able to transition at least one intersection per year until the goal is reached.
Copyright 2025 WALA. All rights reserved.
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