Every tech company is talking up its AI opportunity. Oracle is no exception. But during an earnings call in March, Oracle’s Larry Ellison laid out a future market opportunity focused on a major customer that investors may think about less often that Fortune 500 companies.

The Oracle founder, former CEO and current chairman and chief technology officer, sees national and state government applications being run on platforms like Oracle Cloud Infrastructure to a much greater degree than today, and indicated that it’s starting to happen in a variety of ways.

“We talk about, you know, winning business with companies. For the first time, we’re beginning to win business for countries,” Ellison said. “We have a number of countries where we’re negotiating sovereign regions with the national government.”

Major tech companies vying for massive government contracts in the cloud are nothing new. Microsoft and Amazon had a lengthy battle over a cloud deal with the Department of Defense, and both those AI players as well as Oracle and Google ended up all in on a $9 billion DoD contract in 2022.

But Ellison went further in his prediction when speaking with analysts on the recent earnings call, saying “Every government, pretty much every government, is going to want a sovereign cloud and a dedicated region for that government.”

Oracle, which works with Nvidia and Microsoft on generative AI capabilities, has already helped use cloud tech to cut red tape for countries. One example Ellison gave was Albania. It is trying to ascend to the European Union with the help of chatGPT, with the generative AI helping to decipher and summarize its laws and aid the country in what it needs to change in order to be compliant with E.U. regulations.

“It took Serbia eight years to harmonize their laws to be able to join the E.U.,” Ellison said. “Albania is facing the same thing, but with generative AI, we can read the entire corpus of the Albanian laws and actually harmonize their laws with the EU in probably more like 18 months to two years.”

Some analysts are skeptical of Ellison’s talk as being anything more than typical C-suite rallying for a key business unit. Oracle shares are up about 21% YTD, but Barclays analyst Raimo Lenschow expressed concern about lower OCI growth during its latest earnings, which could “worry investors, as this is the main investment story.”

A version of future featuring cloud services and artificial intelligence-powered solutions can make government more efficient. Ellison said for starters, redundancy is a focus for government, in the case of disaster and disaster recovery. But it’s also moving into health care information and internet access projects.

Countries including Serbia are standardizing on Oracle Cloud Infrastructure and using generative AI for processes like automating health care. Deals related to delivery of internet services in partnership with Elon Musk’s Starlink to remote areas are taking place in Kenya and Rwanda, where OCI and Starlink are mapping rural farms to see which crops are growing in what area, and if they are getting enough nutrients like nitrogen and water.

“These maps are AI-assisted, help them plan their agricultural output and predict their agricultural output, predict markets, the logistics of the agricultural output, doing all of all of those things as next-generation national applications,” Ellison said.

Food security, rural school and rural hospital internet access, are other examples of what Ellison said are among the “all sorts of interesting new AI applications out there that you’ve probably never heard of before, at least I hadn’t heard of before until these last 12 months now that we’ve worked on and we’re now in the process of delivering.”

He also mentioned automation of vaccination programs, and other healthcare program “across the board.”

“We’re living in a world where like data and information is the gold of the future,” said Dan Gardner, CEO of digital strategy agency Code and Theory. “If the government can get access and action on that their data faster, why would we want to slow that down? We want that to be as efficient as possible. A lot of that is like mundane human resources, that maybe those people could be doing something else that is way more valuable.”

Cloud and generative AI applications allowing countries to give rural areas internet access could increase educational opportunities and create more economic value. It could also allow citizens to have more insight into government processes, said Tapan Parikh, Cornell University associate professor. “One thing technology’s always been good at is potentially making bureaucracies more efficient, or at least more transparent internally,” he said.

‘Black Mirror’ governments

But the push to move more government processes to the cloud is also opening the door to new risks, especially as countries trust newly developed generative AI systems. While they may make processes faster than ever, there are bound to be mistakes as the technology develops and could make citizen data accessible to cyber criminals.

“We shouldn’t use these technologies as an excuse to not maintain oversight and control over political processes,” Parikh said. “Certainly, I think that’s a very important thing, particularly when you’re dealing with countries that may not have the same kind of governance capacity.”

Oracle did not respond to a request for additional comment on Ellison’s earnings call discussion.

“There’s the ‘Black Mirror’ bad side of it: Big Brother, data wars, AI warfare and all that stuff,” Garder said. “As far as like removing red tape and being more efficient and getting better use out of crops across the country, that’s incredible. That’s the multiplier of humanity that could really improve because of AI.”

AI raises a host of concerns.

Gardner pointed to the proliferation of more generative content in an election year around the world and all the issues related to tech-enabled interference. “Maybe it’s not like chips on the ground. But it’s data security, authentication of who you are, who governments are, what content you’re viewing, all the connection points between financial systems, and AI governance. Using AI as a tool of destruction is quite scary.” 

“No big government in the world can afford to move all of their services and especially critical ones like defense, taxes, health care, completely into the cloud and into the hands of gen AI,” said Simone Bohnenberger, chief product officer at cloud company Phrase. “It’s just not in the realm of, I think it’s not responsible to do that. The potential risks outweigh the benefits of doing that.”

OpenAI, which created ChatGPT, is mostly trained on existing content on the internet. That could pose a problem, especially when text from lesser known languages like Albanian need to be analyzed, Bohnenberger said.

“If you look at the World Wide Web or the internet, the vast majority of content there’s English, I think a quarter of the content is English, followed by Chinese,” she said. “Albanian is a minority. It’s very questionable for me how well that actually works for a small country like Albania and like an outlier language, because there’s just not much data you can train a model on. And if you don’t have much data, then the outputs will be very messy.”

Then there’s security and data risks with allowing foreign companies access to citizen data, Parikh said. Even the U.S., with all its resources, has been vulnerable to data hacks, including a recent February incident with contractor CGI Federal which exposed personally identifiable information on employees. The recent battle between the U.S. and China over TikTok is an example of how control of sensitive consumer data can be interjected into geopolitics. “I think certainly that’s a concern going forward for countries who are working with vendors from different countries,” Parikh said.

BARCELONA — Chinese electronics maker Honor is working on a smart ring, its CEO told CNBC on Tuesday, just a day after Samsung took the wraps off of its own offering in the product category.

Samsung debuted the Galaxy Ring on Monday after teasing it earlier this year. The device, which is the company’s first foray into the product category, has multiple sensors that can track health markers, such as the wearer’s heart rate. It is part of a broader health push by Samsung.

Honor is developing its own smart ring, company CEO George Zhao told CNBC at the Mobile World Congress in Barcelona.

“Internally, we have this kind of solution, now we are working on that part, so in the future you can have the Honor ring,” he said.

Zhao disclosed very few details about the product, but said that it is part of the firm’s broader focus on health.

Spun off from Huawei in 2020 as a result of U.S. sanctions, Honor has pushed aggressively to launch its own smartphones and expand its presence outside of China, particularly in the premium market, where it seeks to rival Apple and Samsung.

The company has also expanded into other devices, including wearables such as smartwatches, which can also measure some health indicators.

With a ring, Honor could add another product to its portfolio and link them together with its health app, much like Samsung is looking to do.

Zhao said he sees artificial intelligence as a key way to help provide more health insights to users.

“This hardware capability will work together with AI-enabled apps (and) can help you make the professional training course tailored for you because they studied your habits and health data to give you professional suggestions,” Zhao said. “I think AI will transform this kind of applications.”

Honor has been talking up its AI capabilities at MWC this week and showed off technology on its smartphone that can track your eyes to carry out functions.

Nvidia shares jumped more than 14% in premarket trade on Thursday after the chip giant posted bumper earnings that beat Wall Street estimates.

The U.S. tech giant posted revenue of $22.10 billion for its fiscal fourth quarter, a rise of 265% year-on-year, while net income surged by 769%, as the company continues to see a boost from excitement over artificial intelligence.

Nvidia chips are used to train the huge AI models such as those developed by Microsoft and Meta.

Nvidia sees no signs of slowing. The company forecast its revenue in the current quarter will hit $24 billion, way ahead of estimates.

“Fundamentally, the conditions are excellent for continued growth” in 2025 and beyond, Nvidia CEO Jensen Huang told analysts on Wednesday, adding to the bullish sentiment around the stock.

Nvidia’s Data Center business, which includes the company’s H100 graphics cards that are used for AI training, posted sales of $18.4 billion in the fourth quarter, representing 409% year-on-year growth.

The positive outlook from Nvidia prompted a round of broker upgrades on Thursday. JPMorgan raised its price target on Nvidia’s stock from $650 to $850, while Bank of America Global Research hiked its target from $800 to $925.

Nvidia’s stock closed at $674.72 on Thursday. Shares were under pressure ahead of the earnings report as traders took profit and investors were concerned that Nvidia might not be able to hit lofty expectations.

But its market-beating numbers dispelled those fears and also pulled other global chip stocks higher.

Training of elite athletes dates as far back as the Ancient Olympic Games, when so-called gymnastes advised runners, chariot racers, wrestlers and boxers on technique, nutrition and strength conditioning.

Fast forward to today’s Olympians prepping for next summer’s Paris Games. Their trainers and coaches adhere to the same Olympic motto — faster, higher, stronger — yet have the added benefit of millennia of ever-advancing technology, which now has been super-charged with artificial intelligence.

Trainers and coaches at U.S. Soccer, one of the 47 National Governing Bodies overseen by the United States Olympic and Paralympic Committee, are using AI technology to instantaneously identify and track player movements and ball positions. A suite of software tools allows them to study a variety of human performance metrics, such as body position, velocity, speed and timing in real time on the field of play.

“Utilizing advances in AI and computer vision, we’ve been able to track and study personalized analytics from a variety of sports to determine the strengths and deficiencies in an athlete’s movement and help them make data-informed training and competition plans that can help them improve their performance, as well as their own health,” said Mike Levine, director of performance innovation business operations at the USOPC, based in Colorado Springs, also the home of a high-tech Olympic training center.

While the USOPC and NGBs employ in-house experts in bleeding-edge technology development, data analytics and sports sciences and medicine, big tech companies lend their AI know-how as well. USA Surfing staff, for instance, has teamed up with Microsoft engineers to figure out how best to ride waves. They take digital videos of surfers in action and use AI to analyze data on body movement, surfboards and waves to determine what they did well and what could be improved.

“This work saves coaches and staff hundreds of hours of video tagging, facilitates the accumulation of more and higher-quality data and affords analysts and coaches significantly more time to analyze the data and implement learnings into real-life training and performance,” Levine said.

Creating 3-D models of athletes’ bodies with Intel technology

These are manifestations of computer vision systems, which use AI technology to replicate the capabilities of the human brain responsible for object recognition and classification. A commercial application, called 3D Athlete Tracking (3DAT), was developed by Intel‘s Olympic Technology Group a few years ago and is now being utilized by trainers in numerous sports. 3DAT incorporates sensor-less motion capture and digital video to create three-dimensional models of an athlete’s entire body, from head to toes, which trainers use to tweak and improve performance.

“We’re able to see ways athletes move and detect things not possible with just the human eye,” said Jonathan Lee, who as senior director of sports technology at Intel helped develop 3DAT and is now chief product officer at London-based sports tech company ai.io, which recently acquired the system from Intel.

3DAT has been adopted by Exos, a coaching company in Scottsdale, Arizona, that trains college football players for the National Football League’s annual scouting combine, an evaluation ahead of the league’s yearly draft. “Exos uses 3DAT to analyze the 40-yard dash and help players get faster,” Lee said. Digital video cameras, mounted on timing gates incrementally positioned along the course, capture data on how a runner comes off the line, his acceleration and velocity, and his body’s angle of attack.

The data instantaneously constructs a personalized skeletal model of each player for immediate review. Before a player’s next sprint, a trainer might say, “You need to be more upright or lean forward, and give him tips on how to achieve that,” Lee said.

The NFL-Amazon digital player and concussion-risk tracking

The NFL itself is harnessing AI and computer vision to enhance its Digital Athlete program, developed in partnership with Amazon Web Services beginning in 2019. The Digital Athlete provides a complete view of each NFL players’ experience by analyzing data from his training and game activity, which is captured by sensors and tags in equipment and hours of video from cameras in stadiums. Computer vision and machine learning systems track speed, collisions, blocks and tackles. This data is shared with clubs and allows teams to precisely understand what players need to stay healthy, recover quickly and perform at their best.

“AI and machine learning are the backbone of the program,” said Jennifer Langton, NFL senior vice president of health and safety innovation. “We’re able to analyze a substantial amount of data and automatically generate insights into which players might benefit from altering either training or recovery routines, a process that used to be so manual and cumbersome.”

The AI was taught to identify trauma by repeated exposure to and digestion of digital video images of helmets from all angles, Langton said, and then to cross-reference visual information from statistical data to determine what player was wearing what helmet. “With enough practice, the AI becomes exponentially faster and more reliable than humans at accurately identifying and classifying head collisions throughout a game and the season,” she said, allowing trainers and coaches to see which players are due to reduce their workloads and which have room for a more intensive workout.

The Digital Athlete program was rolled out as a pilot with four NFL teams last year and this season is available to all 32 franchises via a dedicated online portal. “The portal provides teams with a daily training load and risk-mitigation information, as well as league-wide injury trends and benchmarks they hadn’t had before,” Langton said, adding that the NFL will assess the data at the end of the season to evaluate tangible results of the program.

‘The next big thing’: Twin hearts of elite athletes

Another AI-enabled technology that’s making its way into elite athlete training is the digital twin, a virtual replica of a physical object, process or system that can be used to simulate, predict and improve real-world scenarios. Tata Consultancy Services, headquartered in Mumbai, recently announced a partnership with French tech developer Dassault Systèmes to produce a digital twin heart, mimicking the flesh-and-blood one of Des Linden, a two-time Olympic marathoner and winner of the 2018 Boston Marathon (sponsored by TCS, along with the races in New York, Chicago and London).

Linden’s avatar organ — created using AI-analyzed data from CT scans and MRIs — can simulate her heart rate, blood flow and oxygen levels, providing instant feedback that can be interpreted to adjust her training and competition. “We want to understand what is a safe zone for Des’ trainer to put her through,” said Dr. Srinivasan Jayaraman, a principal scientist at TCS. Instead of having her run on a treadmill or outdoors, “We can run simulations using her digital twin heart to vary different cardiovascular parameters and fine-tune her training.”

Linden is no stranger to sports tech, from online message boards back in her high school days for remotely comparing times with other runners to today’s state-of-the-art running shoes that world-class marathoners have broken records wearing. “The digital twin heart is going to be the next big thing,” she said. “Being able to map out [my training] and see the gains and drawbacks ahead of time will allow me to work smarter, not harder.”

That’s what Linden, aided by her digital twin heart, will be doing to train for the 2024 Olympic marathon trials in February. Qualifying for her third Team USA slot “will be a tough task,” said the 40-year-old runner, “but I’ll take a crack at it.”

AI and sports training diets

Although there’s no news yet of a digital twin of the human digestive system, AI is involved in planning Olympic athletes’ diet and nutrition. Alicia Glass, a senior sports dietician for the USOPC, designs meal plans for about 300 athletes with USA Track and Field and USA Swimming, a labor-intensive, hand-written task that’s been simplified with an AI-powered app called Notemeal. “They collected data from 37 dieticians from professional sports teams and organizations and used those data sets to generate individualized meal plans,” she said. “The value-add is that it’s a network of sports dieticians working with the best of the best athletes in the world.”

Glass still relies on her professional skills to understand the events each athlete competes in, their training regimens and goals, as well as their genetics, lean body mass and metabolic rate. Even athletes who train and compete in the same events require totally individualized meal plans, she said. “Notemeal makes that process a lot easier,” she said.

The athletes access Notemeal with a smartphone app. “I hit a toggle on my phone, and they get a text saying a meal has been created for you,” Glass said, adding that the app also applies AI to design personalized shopping lists and recipes.

Glass won’t claim that high-tech dietary planning will win medals next summer in Paris, but “many athletes would admit it helps improve their lifestyle because they’re more aware” of their personal fueling needs.

Linden says there is no turning back from the increasing role of technology in the lives of elite athletes. “Let’s just personalize the heck out of training and make sure we’re getting the maximum gains without setbacks from overworking,” she said.

OpenAI’s board of directors said Friday that Sam Altman will step down as CEO and will be replaced on an interim basis by technology chief Mira Murati.

The company said it conducted “a deliberative review process” and “concluded that he was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities.”

“The board no longer has confidence in his ability to continue leading OpenAI,” the statement said.

OpenAI’s board includes chief scientist Ilya Sutskever and independent directors such as Quora CEO Adam D’Angelo, technology entrepreneur Tasha McCauley, and Helen Toner of the Georgetown Center for Security and Emerging Technology. OpenAI says the board of its 501(c)(3) is the “overall governing body for all OpenAI activities.”

The board also said that Greg Brockman, OpenAI’s president, “will be stepping down as chairman of the board and will remain in his role at the company, reporting to the CEO.”

Sam Altman acknowledged that he was leaving OpenAI in a post on X on Friday, but did not mention any accusations by the firm’s board that he failed to be candid during unspecified reviews. He said he loved working at the company and that he would talk more about “what’s next later.”

Regarding the appointment of Murati, OpenAI said, “As the leader of the company’s research, product, and safety functions, Mira is exceptionally qualified to step into the role of interim CEO. We have the utmost confidence in her ability to lead OpenAI during this transition period.”

OpenAI, which has raised billions of dollars from Microsoft and ranked first on CNBC’s Disruptor 50 list this year, jumped into the mainstream in late 2022 after releasing its AI chatbot ChatGPT to the public. The service went viral by allowing users to convert simple text into creative conversation and has pushed big tech companies such as Alphabet and Meta to step up their investments in generative AI.

Microsoft shares slipped after the announcement, closing the day down 1.7% at $369.84.

A Microsoft spokesperson said in a statement that the company has “a long-term partnership with OpenAI and Microsoft remains committed to Mira and their team as we bring this next era of AI to our customers.”

In a post on X, Microsoft CEO Satya Nadella commented about his company’s “long-term agreement with OpenAI,” explaining that it would “remain committed to our partnership, and to Mira and the team.” Nadella did not address Altman’s departure.

Brockman also shared a post on X that included the message he sent to his former OpenAI colleagues, informing them that he “quit” after he learned about “today’s news.”

Later in the evening, Brockman said in an X post that both he and Altman were “shocked and saddened by what the board did today.”

Sutskever instigated a virtual meeting with Altman that the rest of the OpenAI board attended except Brockman, the now-former OpenAI president claimed in the X post. It was during this meeting that Sutskever allegedly fired Altman, telling him “that the news was going out very soon,” Brockman wrote.

Less than half-an-hour later, Brockman claimed to have received a text message from Sutskever, in which the chief scientist summoned for another virtual meeting. At this meeting, Brockman said he learned of Altman’s firing and that he was being removed from OpenAI’s board, but was assured to be “vital to the company and would retain his role.”

“As far as we know, the management team was made aware of this shortly after, other than Mira who found out the night prior,” Brockman said in the post, which was quickly followed by a separate message from Altman.

Altman said in an X post that “today was a weird experience in many ways. but one unexpected one is that it has been sorta like reading your own eulogy while you’re still alive.”

“if i start going off, the openai board should go after me for the full value of my shares,” Altman said in another X post.

OpenAI debuted in 2015 as a nonprofit and employed Sutskever as research director and Brockman as chief technology officer. The firm’s original investors included several prominent Silicon Valley luminaries like Altman, LinkedIn co-founder Reid Hoffman and Tesla CEO Elon Musk, who reportedly committed $1 billion to the project.

Before taking over as CEO, Altman, 38, was president of startup accelerator Y Combinator and gained prominence in Silicon Valley as an early-stage investor. Earlier in his career, he started the social networking company Loopt.

As OpenAI’s popularity grew this year alongside ChatGPT, so too did Altman’s profile. He became an ambassador of sorts, representing the ballooning AI industry across the globe.

In September, Indonesia awarded Altman the so-called “Golden Visa,” providing him with 10 years worth of various travel accommodations and perks intended to help the country gain more foreign investors.

Altman visited several Asia-Pacific countries over the summer including Singapore, India, China, South Korea and Japan, meeting with government leaders and officials and giving public speeches on the rise of AI and the need for regulations.

The technologist testified before the U.S. Senate in May, calling on lawmakers to regulate AI, citing the technology’s potential to have a negative impact on the job market, the information ecosystem, and other societal and economic concerns.

“I think if this technology goes wrong, it can go quite wrong,” Altman said at the time. “And we want to be vocal about that. We want to work with the government to prevent that from happening.”

In a prelude to his Senate testimony, Altman also spoke at a dinner with roughly 60 lawmakers, who were reportedly wowed by his speech and demonstrations.

“It’s not easy to keep members of Congress rapt for close to two hours,” said Rep. Ted Lieu, D-Calif., vice chair of the House Democratic Caucus, who co-hosted the dinner with GOP Conference Vice Chair Mike Johnson, R-La., now House speaker. “So Sam Altman was very informative and provided a lot of information.”

More recently, Altman spoke this week at the Asia-Pacific Economic Cooperation conference in San Francisco, along with various technology executives and world leaders including U.S. President Joe Biden and Chinese President Xi Jinping.

OpenAI held its first developer conference in early November, underscoring the startup’s rising popularity in the technology industry. Microsoft CEO Satya Nadella made a surprise guest appearance during the event, joining Altman on stage to discuss the startup’s AI technologies and its partnership with Microsoft.

Altman didn’t immediately respond to a request for more information.

— CNBC’s Lora Kolodny contributed to this report.

WATCH: OpenAI says Altman exiting as CEO

As if there weren’t already enough layoff fears in the tech industry, add ChatGPT to the list of things workers are worrying about, reflecting the advancement of this artificial intelligence-based chatbot trickling its way into the workplace.

So far this year, the tech industry already has cut 5% more jobs than it did in all of 2022, according to Challenger, Gray & Christmas.

The rate of layoffs is on track to pass the job loss numbers of 2001, the worst year for tech layoffs due to the dot-com bust.

As layoffs continue to mount, workers are not only scared of being laid off, they’re scared of being replaced all together. A recent Goldman Sachs report found 300 million jobs around the world stand to be impacted by AI and automation.

But ChatGPT and AI shouldn’t ignite fear among employees because these tools will help people and companies work more efficiently, according to Sultan Saidov, co-founder and president of Beamery, a global human capital management software-as-a-service company, which has its own GPT, or generative pretrained transformer, called TalentGPT.

“It’s already being estimated that 300 million jobs are going to be impacted by AI and automation,” Saidov said. “The question is: Does that mean that those people will change jobs or lose their jobs? I think, in many cases, it’s going to be changed rather than lose.”

ChatGPT is one type of GPT tool that uses learning models to generate human-like responses, and Saidov says GPT technology can help workers do more than just have conversations. Especially in the tech industry, specific jobs stand to be impacted more than others.

Saidov points to creatives in the tech industry, like designers, video game creators, photographers, and those who create digital images, as those whose jobs will likely not be completely eradicated. It will help these roles create more and do their jobs quicker, he said.

“If you look back to the industrial revolution, when you suddenly had automation in farming, did it mean fewer people were going to be doing certain jobs in farming?” Saidov said. “Definitely, because you’re not going to need as many people in that area, but it just means the same number of people are going to different jobs.”

Just like similar trends in history, creative jobs will be in demand after the widespread inclusion of generative AI and other AI tech in the workplace.

“With video game creators, if the number of games made globally doesn’t change year over year, you’ll probably need fewer game designers,” Saidov said. “But if you can create more as a company, then this technology will just increase the number of games you’ll be able to get made.”

Due to ChatGPT buzz, many software developers and engineers are apprehensive about their job security, causing some to seek new skills and learn how to engineer generative AI and add these skills to their resume.

“It’s unfair to say that GPT will completely eliminate jobs, like developers and engineers,” says Sameer Penakalapati, chief executive officer at Ceipal, an AI-driven talent acquisition platform.

But even though these jobs will still exist, their tasks and responsibilities could likely be diminished by GPT and generative AI.

There’s an important distinction to be made between GPT specifically and generative AI more broadly when it comes to the job market, according to Penakalapati. GPT is a mathematical or statistical model designed to learn patterns and provide outcomes. But other forms of generative AI can go further, reconstructing different outcomes based on patterns and learnings, and almost mirroring a human brain, he said.

As an example, Penakalapati says if you look at software developers, engineers, and testers, GPT can generate code in a matter of seconds, giving software users and customers exactly what they need without the back and forth of relaying needs, adaptations, and fixes to the development team. GPT can do the job of a coder or tester instantly, rather than the days or weeks it may take a human to generate the same thing, he said.

Generative AI can more broadly impact software engineers, and specifically devops (development and operations) engineers, Penakalapati said, from the development of code to deployment, conducting maintenance, and making updates in software development. In this broader set of tasks, generative AI can mimic what an engineer would do through the development cycle.

While development and engineering roles are quickly adapting to these tools in the workplace, Penakalapati said it’ll be impossible for the tools to totally replace humans. More likely we’ll see a decrease in the number of developers and engineers needed to create a piece of software.

“Whether it’s a piece of code you’re writing, whether you’re testing how users interact with your software, or whether you’re designing software and choosing certain colors from a color palette, you’ll always need somebody, a human, to help in the process,” Penakalapati said.

While GPT and AI will heavily impact more roles than others, the incorporation of these tools will impact every knowledge worker, commonly referred to as anyone who uses or handles information in their job, according to Michael Chui, a partner at the McKinsey Global Institute.

“These technologies enable the ability to create first drafts very quickly, of all kinds of different things, whether it’s writing, generating computer code, creating images, video, and music,” Chui said. “You can imagine almost any knowledge worker being able to benefit from this technology and certainly the technology provides speed with these types of capabilities.”

A recent study by OpenAI, the creator of ChatGPT, found that roughly 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of learning models in GPT tech, while roughly 19% of workers might see 50% of their tasks impacted.

Chui said workers today can’t remember a time when they didn’t have tools like Microsoft Excel or Microsoft Word, so, in some ways, we can predict that workers in the future won’t be able to imagine a world of work without AI and GPT tools.

“Even technologies that greatly increased productivity, in the past, didn’t necessarily lead to having fewer people doing work,” Chui said. “Bottom line is the world will always need more software.”