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How AI Is Transforming Manufacturing and Marketing for General Motors

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At General Motors‘ Detroit-based electric vehicle assembly plant, Factory Zero, artificial intelligence and machine learning are playing an increasingly significant role.

AI-based vision systems can swiftly identify maintenance issues, such as battery leaks, damaged metal components, and patchy paintwork. Marketing teams use AI tools to analyze consumer behavior and adapt their market research and promotional efforts.

As General Motors looks to retain its crown as America’s biggest car manufacturer amid increased competition from rivals, corporate leaders see AI as key to its success.

Meeting customers where they are

Jon Francis, chief data and analytics officer at GM, said artificial intelligence is contributing to change across the company. For one thing, he said, AI is helping GM reach consumers at the “right moment” on their car-buying journeys, enabling the carmaker to adjust production lines in “real time” to meet demand.

Using data points like customer interactions and sales and manufacturing metrics, GM’s AI solutions can provide insights on how to adjust production to ensure vehicles offer the features customers want most. Francis said examples include “seamless connectivity,” safety features in tune with drivers’ personal needs and those of their passengers, as well as traditional and electric engines. The AI solutions can also ensure anomalies are spotted and fixed before customers receive their new cars.

Francis said the technology is also providing new GM customers with a more enjoyable driving experience. For example, with the help of AI and machine learning, GM is working with organizations like Pilot and EVgo to find the most optimal locations for EV charging stations, enabling GM drivers to power up more easily. Decisions are made by algorithm-based analyses of traffic flow and nearby EV chargers, in addition to the knowledge of human experts.

A look at the automotive landscape

GM’s leaders aren’t the only ones turning to AI to drive growth. The tech is making waves across the automotive sector more broadly. Research from Global Market Insights shows that AI automotive technology is a $4.8 billion industry and could reach $186.4 billion over the next decade.

As evidenced by General Motors, AI is improving efficiencies on automotive production lines and in maintenance warehouses. But this technology is also delivering benefits for the end user by overhauling the driving experience.

Wyatt Mayham, cofounder and CEO of IT consultancy Northwest AI Consulting, said that by embracing AI technologies, automotive companies may be able to design and sell “enhanced driver assistance systems” with features such as better automatic emergency braking and lane-keeping assistance.

Tariq Munir, an AI transformation advisor, also envisages a bright future for AI automotive technologies. In particular, he expects to see automakers leverage “smart, self-optimizing systems” that will “enable production optimization and supply chain planning with near-perfect accuracy.”

He said automakers may be able to reduce vehicle-testing costs by performing tests virtually by combining AI with immersive technologies like augmented and virtual reality.

“This is the smart factory revolution in the making,” he said, “which will enable a faster, cheaper, and more sustainable automotive industry.”

Early obstacles

Despite some success so far, GM’s AI and ML transformation journey could face challenges. One was ensuring its AI solutions could deliver long-term, tangible benefits for all customers, which requires ample data. Therefore, Francis said, he and his team spent significant time implementing a robust IT infrastructure to collect, process, and analyze large datasets.

This digital environment also had to be scalable from the beginning to facilitate the rapid expansion of AI adoption across GM’s various departments, so Francis and his team built a “scaled compute environment.” This is a type of IT infrastructure that features self-adjusting compute resources, like processing power and storage, to cater to organizational and employee needs as they change over time.

Resistance to change is another common pitfall of AI adoption within companies. Some workers are understandably concerned that AI could replace them, and using this technology can be overwhelming for those new to it.

With these concerns in mind, Francis said it’s essential for business leaders to take time to understand employees’ concerns about AI and provide adequate support and reassurance so that they get the most out of the tech. According to Francis, GM believes AI should augment, not replace, workers.

“At GM, we view AI as a tool to enhance job functions, allowing our highly skilled workforce to focus on tasks that humans are uniquely qualified to do, and machines simply cannot perform. Once people see the powerful benefits of using AI, resistance drops rapidly,” Francis added.

Customized tools could be coming soon

Challenges aside, Francis and other industry leaders remain optimistic about the future of the automotive industry and the role of AI. For Francis, customers will increasingly demand vehicles tailored to their specific needs and packed with advanced safety and connectivity features.

“AI and data analytics are helping us deliver exactly that across our entire lineup, whether someone is looking for a traditional engine or going electric,” he said.”Through AI solutions, we’re able to create better experiences for every type of customer and every price point.”

This sentiment is echoed by Royston Jones, the global head of automotive at computational intelligence firm Altair, who said customers want “more personalized, energy-efficient, and safer” vehicles. These are things he thinks AI will continue to enable in the years ahead in the automotive industry.

“In the long run,” he told Business Insider, “AI will push the industry toward mass customization, shorter development cycles, and sustainable innovation that aligns with shifting customer values and regulatory demands.”





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SA to roll out ChatGPT-style AI app in all high schools as tech experts urge caution

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Tech experts have welcomed the rollout of a ChatGPT-style app in South Australian classrooms but say the use of the learning tool should be managed to minimise potential drawbacks, and to ensure “we don’t dumb ourselves down”.

The app, called EdChat, has been developed by Microsoft in partnership with the state government, and will be made available across SA public high schools next term, Education Minister Blair Boyer said.

“It is like ChatGPT … but it is a version of that that we have designed with Microsoft, which has a whole heap of other safeguards built in,” Mr Boyer told ABC Radio Adelaide.

“Those safeguards are to prevent personal information of students and staff getting out, to prevent any nasties getting in.

AI is well and truly going be part of the future of work and it’s I think it’s on us as an education system, instead of burying our head in the sand and pretending it will go away, to try and tackle it.

EdChat was initially launched in 2023 and was at the centre of a trial involving 10,000 students, while all principals, teachers and pre-school staff have had access to the tool since late 2024.

The government said the purpose of the broader rollout was to allow children to “safely and productively” use technology of a kind that was already widespread.

SA Education Minister Blair Boyer says the technology has built-in safeguards. (ABC News: Justin Hewitson)

Mr Boyer said student mental health had been a major consideration during the design phase.

“There’s a lot of prompts set up — if a student is to type something that might be around self-harm or something like that — to alert the moderators to let them know that that’s been done so we can provide help,” he said.

“One of the things that came out [of the trial] which I have to say is an area of concern is around some students asking you know if it [EdChat] would be their friend, and I think that’s something that we’ve got to look at really closely.

“It basically says; ‘Thank you for asking. While I’m here to assist you and support your work, my role is that of an AI assistant, not a friend. That said, I’m happy to provide you with advice and answer your questions and help with your tasks’.”

The government said the app was already being used by students for tasks such as explaining solutions to difficult maths problems, rephrasing instructions “when they are having trouble comprehending a task”, and quizzing them on exam subjects.

“The conversational aspect I think is sometimes underplayed with these tools,” RMIT computing expert Michael Cowling said.

“You can ask it for something, and then you can ask it to clarify a question or to refine it, and of course you can also then use it as a teacher to ask you questions or to give you a pop quiz or to check your understanding for things.”

Adelaide Botanic High School students sit at a wooden table with their laptops

Adelaide Botanic High School students were involved in the trial of EdChat, which is rolling out across all SA high schools next term. (ABC News: Brant Cumming)

Adelaide Botanic High School principal Sarah Chambers, whose school participated in the trial of the app, described it as “an education equaliser”.

“It does provide students with a tool that is accessible throughout the day and into the evening,” she said.

“It is like using any sort of search tool on the internet — it is limited by the skill of the people using it, and really we need to work on building that capacity for our young people [by] teaching them to ask good questions.”

Ms Chambers said year levels 7 to 12 had access to the app, and year 11 student Sidney said she used it on a daily basis.

“I can use it to manage my time well and create programs of study guides, and … for scheduling so I don’t procrastinate,” the student said.

“A lot of students were already using other AI platforms so having EdChat as a safe platform that we can use was beneficial for all our learning, inside school and outside school.”

EdChat is similar to an app that has been trialled in New South Wales.

Toby Walsh, a man wearing yellow framed spectacles and a navy blazer, poses for a photo in front of an ochre coloured background

University of NSW artificial intelligence expert Toby Walsh says AI has a place in modern learning, but urges caution. (Supplied)

University of NSW artificial intelligence expert Toby Walsh said while generative AI very much had a place in modern learning, educators had “to be very mindful” of the way in which it was used.

“We have to be very careful that we don’t dumb ourselves down by using this technology as a crutch,” Professor Walsh said.

“It’s really important that people do learn how to write an essay themselves and not rely upon ChatGPT to write the essay, because there are important skills we learn in writing the essay — command of a particular domain of knowledge, ability to construct arguments and think critically.

We want to make sure that we don’t lose those skills or never even acquire those skills.

Professor Cowling said while generative AI tools came with the risk of plagiarism, they could in fact strengthen critical skills, if used appropriately.

“We’ve been very focused on the academic integrity concerns but I do think we can also use these tools for things like brainstorming and starting ideas,” he said.

“As long as we anchor ourselves in the idea that we need to know how to prompt these tools properly and that we need to carefully evaluate the output of these tools, I’m not entirely convinced that critical thinking is going to be an issue.

“In fact I would argue that the opposite may be true, and that critical thinking is actually something that will develop more with these gen AI tools.”



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Is Artificial Intelligence the Next Co-Engineer?

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Today’s engineers are empowered to move beyond execution into strategic thinking—shaping systems that learn, adapt, and evolve. This transformation instills a deeper sense of purpose and responsibility.

Satish H C, Executive Vice President & Chief Delivery Officer, Infosys

For me, the most exciting shift is watching AI move from being an assistant to becoming an autonomous builder.

PVN Pavan Kumar, Vice President, APJ at Office of the CTO, SAP

While AI expedites iterations and ideations, the design sign-off is still done by the product owner and design leads.

Amith Singhee, Director, IBM Research India; CTO, IBM India & South Asia

The role of engineers is changing, from being doers of engineering work to trainers and interrogators of intelligent machines, reviewers of work done by machines, and owners of critical thinking and creativity.

Harrick Vin, Chief Technology Officer, TCS

Now, engineers must wear a business hat, interacting with clients, understanding and solving business challenges, and building minimal viable products with agility.

Mukesh Chaudhary, Lead – Data & AI, Advanced Technology Centers Global Network, Accenture

AI is augmenting engineers, shifting their focus from repetitive tasks to creativity, strategy, and building for long-term impact.

Parul Jain, VP – Software Engineering, Salesforce

Over the next two decades, engineering will be shaped by AI, sustainable design, and closer collaboration between humans and machines.

Sudha KV, Vice President, Dell Technologies

Good engineers work diligently to address challenges as they arise. Great engineers, however, invest time in solutions that eliminate entire categories of future problems.

Kusum Saini, Director – Principal Architect, Simplilearn

From a classic ‘Let’s start building something’ approach, engineers will now need to focus more on clearer problem definition. Understanding a domain and adopting systems thinking will become more important than just translating a requirement into code.

Jacob Peter, Executive Board of Management Mobility R&D, Bosch Global Software Technologies, and Bosch Digital

Companies are no longer limiting AI knowledge to technical teams and are training across the board, from HR to admin to engineering, to leverage AI responsibly.

Vinod Venkatraman, Chief Technology Officer, Great Learning

Published 15 September 2025, 05:12 IST



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Pittsburg to Connect East End AI Corridor

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Throughout the last few years, Pittsburgh has been proving itself as one of the most determined comebacks in the U.S. Rust Belt; one of the top mid-sized cities for green commuting; one of this year’s most affordable metros for Millennials to thrive; as well as a top-choice city for Gen Z to put down roots.

While Pittsburgh office space has become some of the greenest in the country, the local economy has also adapted to make room for a thriving tech scene, a growing robotics hub, and even companies operating in the space industry. Now, another transformation is underway in one of the city’s most historic districts as developers are uniting to create a new tech corridor connecting major AI and technology companies on Penn Avenue.

Google, Duolingo, and the U.S. Army’s AI Integration Center are among the more than 20 artificial intelligence tenants that made a home in East End Pittsburgh, which is a part of the city that’s now being reimagined as “AI Avenue.” Despite concerns regarding displacement of residents with longstanding ties to the area, plans are underway to “fill in the blanks” along Penn Avenue that developers see as distracting some of the dynamism away from the two ends of the existing, one-mile-long AI corridor.

Redevelopment projects currently being discussed include:

  • Infrastructure improvements to enhance lighting, pedestrian access, and connections through the neighborhood; improve safety and walkability; and create collaboration opportunities for tech companies.
  • The Meridian Project, which is a mixed-use development that would include apartments, a grocery store, and restaurants, thereby providing housing and amenities intended to attract and retain tech talent for AI Avenue companies.
  • An expansion of Bakery Square, which would incorporate what is now considered a dated and struggling strip mall. This would transform the underutilized area into a mixed-use corridor by providing more modern office space for AI companies, while also allowing both startups and established firms to grow in an uninterrupted, tech-centered environment.

Bakery Square had already announced earlier this year that it would house a new, secure AI innovation center through access to $150 billion in defense tech funding. And, with significant funding for small business innovation research in Pittsburgh already coming from the Department of Defense, developers here hope that a higher concentration of AI-focused companies in this hub would attract even more DoD contracts in the near future.



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