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Billionaire Mark Cuban Says AI Gives Workers ‘Superpowers,’ but Crypto Is ‘Not Even Close’ to Its iPhone Moment

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Mark Cuban has always been tech’s most pragmatic and outspoken billionaire. As an early internet entrepreneur, a prolific investor on Shark Tank, and the owner of the Dallas Mavericks, he’s seen multiple hype cycles come and go. He was an early advocate for crypto’s potential but has remained a sharp critic of its excesses.

Now, as the twin forces of artificial intelligence and cryptocurrency dominate the conversation, we asked Cuban to weigh in. In this exclusive Q&A, he explains why he thinks AI is on the verge of changing everything, why crypto is still waiting for its big moment, and what the future of work looks like in a world where technology gives “superpowers” to anyone willing to learn.

This conversation has been lightly formatted for clarity. All quotes appear exactly as Cuban gave them.

The Big Picture: AI vs. Crypto

Gizmodo: You’ve invested in both AI and crypto. Which one do you think will have the deeper impact on society, and which one will deliver more value to regular people?

Mark Cuban: AI. It’s not even close.

On AI: The Real Revolution

Gizmodo: On AI, how do you see the traditional office changing in the next five years, with AI now able to handle scheduling, admin, copywriting, even management tasks?

Mark Cuban: More than anything we have ever seen in technology. I think AI will give superpowers to not just companies, but any employee willing to learn how to put it to use. It can take your newest employee and, with some curiosity and effort, make them as accomplished as long-term employees that won’t use AI.

Gizmodo: What kinds of jobs or roles do you think will disappear completely in the next wave of AI adoption, and what will replace them?

Mark Cuban: If your job has binary tasks, you will no longer do those tasks. AI will. But if you can be creative and find new ways to use AI to improve the productivity and profitability of your job and company, you will always be able to get hired.

[Editor’s note: Binary tasks include things like filling out forms, processing documents, basic customer service, or data entry jobs that follow clear if-then logic.]

On Crypto: Still Waiting for a Use Case

Gizmodo: Do you think crypto, particularly bitcoin and stablecoins, is having its “iPhone moment”? If not, what’s still missing?

Mark Cuban: No. Not even close. The iPhone App Store drove everyone to use apps for everything and anything they could. Your grandparents asked about how to download Facebook and Instagram to share pictures. Have you had your grandparents ask for help downloading a wallet?

[Ed. note: A crypto “wallet” is a software program or physical device that allows users to store and manage their cryptocurrencies. Unlike mainstream apps, they have not yet been widely adopted by the general public.]

Gizmodo: You’ve talked in the past about utility being more important than hype in crypto. What’s the most promising use case you’re seeing now?

Mark Cuban: Honestly, I had hoped that smart contracts on Ethereum, Polygon, and other platforms would lead to applications that would be mainstream by now. It’s not even close. [Ed. note: Smart contracts are bits of code that automatically execute transactions. They power decentralized finance, NFTs, and more.]

There are some like Book.IO for books and textbooks, dClimate for climate data, and other apps that I’m still involved in. There can be apps that store video and photos on a chain as a way to combat AI deep fakes and other fraud. I think that could be impactful.

But generally, crypto hasn’t had its Instagram moment yet.

Gizmodo: Is the U.S. government getting ahead or falling behind in shaping crypto as financial infrastructure?

Mark Cuban: I think we are behind. It’s not as much about a digital financial infrastructure, it’s more about allowing types of transactions that cause non-crypto users to question the stability and legality of crypto.

Meme coins are one example. There is no utility. It’s a collectible where every transaction siphons off fees and is presented as gambling, or a game of musical chairs, that has no rules.

Another is when crypto is lent out. Unlike when stocks are being lent out, there is no law that I’m aware of that requires collateral to be put in place. This is why FTX didn’t collapse in Japan. They have collateral and cold storage laws. If we had the same in this country, crypto would be far more trustworthy. Both cause observers who may be considering using crypto to question its viability.

[Ed. note: Following the collapse of the crypto exchange FTX in 2022, its Japanese subsidiary was able to make customers whole because Japanese law required customer assets to be held in separate, fully collateralized accounts.]

On Crypto: The Current Reality

Gizmodo: Are we in a crypto bubble right now, or is this just what widespread adoption looks like?

Mark Cuban: I think BTC has taken all the thunder. It’s a store of value, and we don’t expect it to create utility. Every other chain basically does the same as the rest in one form or another, with some differentiation in features, functions, and speed. They just battle it out to lock up as much usage as possible. But the reality is there are far too many chains.

Gizmodo: How do you view the rise of bitcoin treasury companies like MicroStrategy? Are they early visionaries or overly exposed?

Mark Cuban: It’s fine as long as you have a long-term horizon. Most companies can’t afford to set aside liquid assets for long periods of time. They need the money. But if you can look long term, it’s definitely a strategy worth considering.

[Ed. note: MicroStrategy is a software company turned bitcoin holding vehicle that now owns several billions of dollars worth of bitcoin.]

Gizmodo: Stablecoins are being used for real-world transactions at scale. Do you think they’ll become the core financial rails of the internet economy, or are there limits?

Mark Cuban: I think they are positioned to continue to grow. If you transact globally in dollars, it’s certainly a less expensive and faster option.

[Ed. note: Stablecoins like USDC or USDT are cryptocurrencies pegged to the U.S. dollar. They are used for fast global payments without banks or currency conversions.]

Gizmodo: Are we heading toward a future where corporate treasuries routinely hold bitcoin or stablecoins, the way they hold foreign currencies or bonds today?

Mark Cuban: Yes. Absolutely. You even see JPMorgan using stablecoins. I think it will be a way to transfer money far more effectively. We just need to make sure that we have enough regulation that it’s not easy for fraud and hacks to have an impact.



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‘Sovereignty’ Myth-Making in the AI Race

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This piece is part of “Ideologies of Control: A Series on Tech Power and Democratic Crisis,” in collaboration with Data & Society. Read more about the series here.

NVIDIA CEO Jensen Huang delivers remarks as President Donald Trump looks on during an “Investing in America” event, Wednesday, April 30, 2025, in the Cross Hall of the White House. (Official White House photo by Joyce N. Boghosian)

In late May, US President Donald Trump made an official trip to a number of Arab Gulf States accompanied by over three dozen CEOs from US-based big technology companies that resulted in over $600 billion dollars worth of deals and celebratory proclamations by Gulf leaders, including Saudi Crown Prince Mohammed bin Salman, that their countries would now become hubs for independent, groundbreaking AI research and development in the Middle East. In what can only be described as an ironic confluence of events, G42 (the holding company for the United Arab Emirates AI strategy) was one of the partners, along with NVIDIA, at a France-sponsored event to build a European AI stack, while at the same time NVIDIA and other American tech companies were partnering with the UAE. The geopolitical era of sovereign AI is truly here.

Tech sovereignty didn’t start with AI. Initial discussions of internet sovereignty originated in China in the early naughts and 2010s. However, given the historic global dominance of US-based big technology companies, the appetite for sovereign AI — for self-sufficiency in the development of AI technologies — only began to develop in the first Trump administration’s trade war with China in 2018. Many of the chips that US technology companies relied on were manufactured in Taiwan. As China became more belligerent towards Taiwan, concerns about global AI production grew, rising out of the question of what would happen to chip supply chains in the event of an all-out conflict between Taiwan and China. During the Biden administration, increasing US chip production capacity and limiting the export of powerful GPUs to China grew to become a top national security priority. (The Trump Administration has since rescinded the framework under which these controls were put in place, but has not removed the specific restrictions limiting GPU export to China.)

This intensifying adversarial relationship between the US and China, the newer and more aggressive assertion of American AI dominance by the Trump administration, and the ripple effects of these moves across Europe and across the globe — which have manifested as a fear of being left behind in the AI race— have all heightened the way countries prioritize sovereign control of the AI stack into their AI strategies.

‘Sovereignty as a Service’ (SaaS)

Big tech companies recognize these priorities, and are themselves shaping the rhetoric of sovereign tech by, effectively, offering sovereignty as a service. This is happening at three different levels of the tech stack. Firstly, NVIDIA’s CEO has boldly declared, “Every country needs sovereign AI.” Under this imperative, the company is laying down chips and hardware infrastructure around the world, from Denmark to Thailand to New Zealand. NVIDIA describes the components comprising this global infrastructure as “AI factories,” which spin natural resources and energy into tokens of intelligence.

Secondly, cloud service providers are also getting into the SaaS game, and are offering sovereignty not just to national governments, but also private entities. Amazon Web Services, the foremost cloud service provider, offers a “AWS European Sovereign Cloud.” Microsoft Azure and Google Cloud also offer sovereign cloud to private enterprises— including “sovereign” or “sovereignty” controls to private entities, which encompass encryption and data localization.

And finally, at the model building and dataset annotation level, open-source and multi-lingual AI have also been touted as supporting digital and AI sovereignty. HuggingFace has described open-source AI as a “cornerstone of digital sovereignty,” forming the foundation for “autonomy, innovation, and trust” in nations around the world. Countries around the world are funding the development of national language models: South Korea has recently announced that it will invest $735 billion in the development of “sovereign AI” using Korean language data. Together, governments and companies alike paint advantages in the performance of multilingual AI as sovereignty wins, promoting multilingual models as bolstering economic growth, commerce, and cultural preservation.

‘Sovereignty’ for you – control for me

An expansive view of digital sovereignty is that an entity — nation-state, regional grouping, community — should control its own digital destiny. The twist with SaaS is that the “clients” are negotiating away key aspects of their sovereignty in the process.

Consider NVIDIA. What appears to be a straightforward transaction — territory, energy, and resources in exchange for the company’s chips to build out national sovereign AI infrastructure — is complicated by the company’s other business interests. The company is also in the business of providing cloud services and developing its own AI models. These arms of business are also part of its sovereign AI package deal: the company is also training Saudi Arabia’s university and government scientists to build out “physical” and “agentic” AI. Besides laying the infrastructural groundwork in India, the company is also training India’s business engineers to use the company’s AI offerings.

NVIDIA’s AI models, like its multi-lingual offerings, would benefit significantly from the cultural and language data already being transmitted through its infrastructure. Government and enterprise use of NVIDIA’s AI models through the company’s AI API and cloud opens opportunities for NVIDIA to siphon high-quality data around the world to bolster its own offerings. That the language data extracted from these countries could be used to bolster governmental and enterprise client access to high-quality multi-lingual models, like the Nemotron language models, could provide a legitimate use that justifies the company’s collection and use of that data, which could instead enrich the company’s other models.

Finally, the company’s AI models have to be trained somewhere. Governmental lock-in to NVIDIA’s infrastructure could mean that residents not only bear the costs of national AI production, but also that they bear costs of the company’s operations. Other AI companies, such as Meta, have already tried to structure data center utilities such that residents would foot the power bill. The rhetoric of “sovereign AI” — that this infrastructure is beneficial to these countries and that the countries have control over AI production — further justifies costs for residents. This leaves those dependent on its infrastructure in a position to accept an attractive myth doused in technical language and the promise of national technological leadership, which buries a reality in which they may not be sovereign over their AI infrastructure — over how and the degree to which their territory and resources are used in the production of AI for their interests or for NVIDIA’s.

Model building and data annotation: ‘Sovereign AI’ as labor and expertise extraction

By contributing their expertise to train multilingual models—seen as prime examples of sovereign AI—translators around the world are being placed in a vulnerable and uncertain position. They are annotating data for models that supplant their labor. The impacts of AI on translator roles are especially felt in Turkey, where translators have played a respected role in the country’s diplomatic history. Rather than empowering communities that speak low-resource languages, multilingual models that cover languages spoken in these communities could instead play a role in their detriment. Cohere, which focuses on multilingual models, has formed a partnership with Palantir, which supplies software infrastructure to entities like US Immigration and Customs Enforcement (ICE). Human language annotators have been told that they should aim to convert the machine-like responses of LLMs into more human-like responses. The subtle cultural and lingual nuances that aim to be captured by “sovereign” multilingual models are arguably key to the resistance of political oppression. Indeed, culturally-specific emojis and nicknames have been used to counteract censorship. Enabling surveillant entities the access to language expertise could shut down avenues for resistance and the assertion of autonomy — of sovereignty.

Finally, a number of “sovereign” multilingual models are open-sourced or built from open-source models, which have themselves been painted as supporting sovereignty. While open-source models or synthetic models can be extremely worthwhile technological efforts, highlighting only these offerings can serve to downplay and ultimately bury the ways in which these models and language data and community involvement is serving proprietary multilingual models and more targeted business interests. It is important to remain vigilant to how the rhetoric that this labor and these models are in the service of cultural preservation can serve to obfuscate less savory uses of these models, from labor supplantation to surveillance.

‘Sovereignty’ for whom?

In the 19th-century, European powers deployed build-operate-transfer schemes, or BOTs, as a tool of colonial expansion. In these schemes, private, metropolitan companies provided the capital, knowledge, and resources to construct key pieces of infrastructure — railroads, ports, canals, roads, telegraph lines, etc. — either in formal colonies, like the British in India, or in places where their government was trying to expand power and influence, like the Germans in Anatolia, the heart of the Ottoman Empire, on the eve of World War I.

Sovereignty as a service represents a modern incarnation of this colonial mode. This rhetoric is part of a whole new political economy of global politics where traditional institutional sites of power are preserved as facades but hollowed out to create commodities that are accessed by subscription from what was formerly collective property, as Laleh Khalili has written in a recent London Review of Books essay on defense contractors. In contrast to two decades ago, when the US Department of Defense would have owned the software they operated and likely developed themselves, now they run corporate software, like products from Palantir, that they pay a regular subscription fee to access (and were sued to be forced into using). This kind of subscription model enables continuous rent extraction and the ability of the corporations not only to update or fix the software remotely, but also to turn it off at the source when the governments or institutions beholden to it don’t act according to the corporation’s wishes. If we take seriously the problematic metaphor of an AI arms race, or of a “war” to control the 21st century, then tech companies, with their SaaS offerings, are acting as arms dealers, encouraging the illusion of a race for sovereign control while being the true powers behind the scenes.



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Remote Telangana Students Leverage AI for Enhanced Learning!

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AI Bridges the Knowledge Gap in Remote Villages

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Edited By

Mackenzie Ferguson

AI Tools Researcher & Implementation Consultant

In a groundbreaking development, students in a remote village in Telangana are tapping into AI tools to widen their knowledge horizons. This innovative approach is not only breaking educational barriers but also setting a precedent for other rural areas to adopt similar methodologies. As AI continues to penetrate into various sectors, education in underserved areas gets a major boost!

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Background Info

In today’s rapidly advancing digital age, students in remote locations are tapping into the potential of technology to broaden their knowledge horizons. A striking example of this can be seen in a village in Telangana, where students have embraced AI tools to enhance their learning experience. By leveraging artificial intelligence, these students can access a wealth of resources that were previously beyond their reach. This initiative not only contributes to improved educational outcomes but also empowers the youth to become active participants in the digital world. To learn more about this remarkable endeavor, you can visit the detailed article on this subject here.

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The rapid development and integration of technology in education is transforming how knowledge is accessed and acquired, even in the remotest regions. According to a recent report, students in a secluded village in Telangana have embraced artificial intelligence (AI) tools to significantly widen their understanding and enhance their educational experience. This progression is a remarkable testament to the transformative power of technology and its capacity to bridge educational gaps across geographical boundaries. For more detailed insights into this development, refer to the full article on New Indian Express.

The initiative in Telangana exemplifies a broader trend of integrating AI-driven solutions in education to overcome traditional learning barriers. With AI tools at their disposal, students are now able to explore a vast array of subjects beyond their standard curriculum, enhancing both their academic and personal growth. This local revolution is part of a larger narrative where technology is democratizing education, making it more inclusive and accessible. Such initiatives, as highlighted in the New Indian Express, underscore the importance of tech literacy in shaping the future of education.

The embrace of AI by students in Telangana is not only expanding their learning horizons but also preparing them for a future where digital literacy will be paramount. This development aligns with global educational trends that emphasize the importance of incorporating technology in learning environments to foster critical thinking, creativity, and collaboration. More insights into this shift can be found in the original report on this inspirational educational advancement.

Article Summary

In a remarkable development, students from a remote village in Telangana, India, are leveraging artificial intelligence tools to enhance their educational journey. By tapping into AI technology, these students have significantly broadened their knowledge base, demonstrating that geographic limitations need not impede their learning potential. This initiative, highlighted in a report by The New Indian Express, underscores the transformative power of technology in education.

The innovative use of AI tools by students in Telangana has garnered widespread attention, marking a pivotal moment in the integration of digital resources in education. This effort is seen as a beacon for other remote areas, showcasing how technology can be harnessed to overcome educational barriers and foster knowledge acquisition. The exemplary work of these students could potentially inspire similar initiatives globally, aligning with broader educational goals and digital inclusion strategies.

Expert opinions are lauding this move as a significant step towards narrowing the digital divide and empowering rural education systems. The strategic application of AI in learning processes is not only improving the academic experiences of the students but also preparing them for a future where digital literacy will be paramount. These efforts reflect a proactive approach in adapting to modern educational methodologies amidst the ongoing technological revolution.

Public reactions to this development have been overwhelmingly positive, with many applauding the students’ initiative and adaptability. The story has resonated with various stakeholders, illustrating a growing acknowledgment of the potential that AI holds in reshaping the educational landscape, especially in underserved regions. This positive reception may foster further collaborations and support from educational bodies and technology providers eager to replicate this success.

Considering the current trajectory, the implications for the future are profound. The use of AI tools in such settings may pave the way for groundbreaking advancements in education, leading to more personalized and efficient learning experiences. The success of this initiative could serve as a catalyst for widespread adoption of similar technologies across educational sectors worldwide, ultimately contributing to the elevation of global educational standards.

Related Events

The innovative use of AI tools by students in a remote village in Telangana is not an isolated event. Similar initiatives have been observed across various regions where technology is increasingly being leveraged to overcome educational challenges. For instance, in rural areas of India, digital literacy programs have been implemented to ensure students have access to quality resources online. These programs are often supported by local NGOs and government schemes dedicated to enhancing educational opportunities for underprivileged communities.

Furthermore, events such as science fairs and hackathons are regularly organized to bring together students from different backgrounds, fostering an environment of collaborative learning and technological innovation. These events not only encourage students to apply their knowledge practically but also expose them to the latest advancements in technology, broadening their horizons further. Such activities have shown promising results in motivating students to pursue careers in science and technology fields.

Additionally, international collaborations have been initiated where students and educators from different countries participate in exchange programs, virtual conferences, and workshops. These events are crucial in promoting cross-cultural understanding and sharing of technological expertise. Students from the Telangana project could benefit from such collaborations, gaining global insights that could enhance their learning experience and application of AI tools.

The integration of AI in rural education, as highlighted in the Telangana initiative, also aligns with global trends where educational technology is becoming an integral part of the curriculum. Events like the annual EdTech conference provide a platform for educators and technologists worldwide to share experiences and innovations in this space, further influencing rural education positively.

Expert Opinions

In recent educational developments, students in a remote Telangana village are utilizing artificial intelligence tools to vastly expand their knowledge and learning experiences. This innovative approach has not only drawn attention from educational circles but also garnered expert opinions demonstrating a significant shift in learning paradigms. According to a report by the New Indian Express, educational technologists and pedagogical experts are hailing this initiative as a transformative step towards democratizing access to education and resources.

Experts argue that the integration of AI tools in rural education settings effectively bridges the gap between resource-rich urban areas and under-resourced villages. These tools provide students access to a wealth of information and learning modules that were previously inaccessible. As highlighted by researchers in the article from New Indian Express, this approach not only supports academic development but also fosters critical thinking and creativity among students.

Furthermore, the use of AI in education is seen by many experts as a way to prepare students for a future dominated by technology. The New Indian Express reports that by embracing AI tools, students in Telangana are being equipped with skills that are crucial for the 21st-century workplace. Industry experts appreciate this forward-thinking approach, suggesting it could serve as a model for other regions seeking to improve educational outcomes through technology.

Public Reactions

In recent times, the initiative by students in a remote Telangana village to leverage artificial intelligence tools for expanding their knowledge has sparked widespread public interest and admiration. The public’s reaction has generally been positive, with many lauding the students’ innovative approach to overcoming educational barriers. This sentiment has been particularly echoed in the digital realm, where social media platforms buzz with discussions and commendations about how technology can democratize learning opportunities even in the most underserved areas. Several individuals have shared their thoughts on how such initiatives could set a precedent for other rural areas in India and beyond, emphasizing the potential of AI in bridging educational gaps.

In online forums and community boards, there is a sense of optimism regarding the students’ achievements, with many community members expressing hope that this project could attract more resources and attention to similar rural educational endeavors. Some have drawn parallels between this project and other successful tech-based educational interventions globally, arguing that these students’ pioneering efforts could inspire governmental and non-governmental organizations to invest more heavily in technology-assisted learning. Enthusiastic comments and shares on platforms like Twitter and Facebook underscore a collective aspiration for education systems worldwide to adopt more inclusive and innovative approaches.

However, amidst the applause, there are also voices of caution. Some members of the public have raised questions regarding the sustainability of such initiatives in remote areas, considering the challenges of infrastructure and consistent access to technology. The concerns revolve around ensuring that these initial gains can be maintained over time and suggesting the need for policy support to reinforce these efforts. Additionally, some experts have highlighted the importance of providing continuous training for educators in these areas to adeptly utilize AI tools, ensuring that the potential of these technologies is fully realized. These discussions, while highlighting potential pitfalls, also serve to enrich the overall dialogue around the future of education in rural regions.

Future Implications

The article titled “Students in Remote Telangana Village Tap AI Tools to Broaden Knowledge” sheds light on an innovative approach adopted by students in a remote village of Telangana. By embracing AI tools, these students have gained unprecedented access to a world of information, which significantly broadens their learning horizons. This development not only highlights the impact of technological advancement in education but also raises questions about the potential long-term implications, particularly in how education systems could evolve in rural settings. In the future, this trend might lead to rural areas experiencing an educational renaissance, fostering a generation of learners who are both informed and technologically savvy. Such a shift could redefine educational priorities and resource allocations across various regions. For further insights, the full article can be accessed here.

As students in remote Telangana villages embrace AI tools, the future implications for education in these areas are profound. The widespread adoption of technology in education, as highlighted in the article from July 2025, could eventually bridge the educational divide between urban and rural populations. This transition also brings forward the possibility of integrating AI-driven personalized learning experiences, which cater to individual student needs, thus enhancing educational outcomes. Moreover, government bodies and educational institutions might be prompted to invest further in digital infrastructure and training programs to support this technological shift. Interested readers can learn more by visiting the original news piece here.



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NSU expands cybersecurity, AI programs to meet growing job demand

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As cybersecurity threats and artificial intelligence continue reshaping the job market, Northeastern State University is stepping up its efforts to prepare students for these in-demand fields.

With programs targeting both K-12 engagement and college-level degrees, NSU is positioning itself as a key player in Oklahoma’s tech talent pipeline.

Cybersecurity: Training the Next Generation

NSU is working to meet the rising need for cybersecurity professionals by launching educational initiatives for students at multiple levels. Dr. Stacey White, the university’s cybersecurity program coordinator, says young people are especially suited for these roles because of their comfort with technology.

That’s why NSU is hosting cybersecurity camps and has built hands-on facilities like a cybersecurity lab to introduce students to real-world applications.

“When I first started in technology and the cyber world, it was usernames and passwords,” Dr. White said. “Today, it’s much more intricate than that.”

The Scope of the Problem

Cybercrime is a growing threat that shows no signs of slowing down. According to Dr. White, everyone should have a basic understanding of cybersecurity, but the greatest need lies in training new professionals who can keep up with evolving threats.

Currently, there are nearly 450,000 open cybersecurity jobs nationwide — including almost 4,200 in Oklahoma alone.

New AI Degree Launching This Fall

This fall, NSU is introducing a new degree in Artificial Intelligence and Data Analytics. Dr. Janet Buzzard, dean of the College of Business and Technology, says the program combines technical knowledge with business insight — a skill set that employers across many industries are seeking.

“All of our graduates in our College of Business and Technology need that skill set of artificial intelligence,” Dr. Buzzard said. “Not just the one major and degree that we’re promoting here.”

The new degree is designed to respond to student interest and market demand, offering versatile career paths in fields such as finance, logistics, and technology development.

Encouraging Early Engagement

Dr. Buzzard adds that exposing students to artificial intelligence and cybersecurity early in their academic careers helps them see these paths as viable and exciting career options.

This is one of the reasons NSU Broken Arrow is hosting a cybersecurity camp for middle school-aged students today and June 8. Campers will learn from industry professionals and experienced educators about the importance of cybersecurity, effective communication in a rapidly evolving digital world and foundational concepts in coding and encoding. 

NSU’s efforts to modernize its programs come at a crucial time, with both AI and cybersecurity jobs seeing major growth. For students and professionals alike, the university is building opportunities that align with the future of work.





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