Top AI Highlights from CES 2025
CES 2025—one of the most powerful tech events in the world produced by Consumer Technology Association (CTA)—is a test bed for the latest and greatest in technological innovations. Described as showcasing the entire tech landscape within a single event, CES 2025 continued this momentum while highlighting the latest advancements in the AI world.
In this article, Enterprise AI World brings you the top AI highlights of CES 2025, selected from topics ranging from AI trust to autonomous vehicles, predictive AI, the fight against disinformation, and much more.
A core focus of AI implementation is user enablement, empowering everyday professionals to achieve more with advanced technology. In CES’ GenAI for Everyday Experiences session, speakers from Intel, Netflix, and IBM emphasized the role that AI has in transforming every facet of industry—as well as the importance of inspiring everyone to harness the transformative power of AI.
At Netflix, GenAI is instrumental in its personalization for users; at Intel, GenAI is key in its partnership with Airspeeder, creating simulations for flying car racing; though these are radically different use cases, it speaks to the wide breadth of possibility that GenAI poses for transforming everyday experiences. From data interaction to generating code, AI is likely to touch every single persona in every industry, regardless of role or business strategy.
This holds true outside traditional applications of AI in the spaces of analytics or code; GenAI poses significant opportunities for the future of enterprise creativity, as noted in the Empowering Creativity in the Enterprise with NextGen Tech session. The combination of creativity and technology is based on the idea that AI has the capacity to radically enable end users to build whatever they need with highly advanced tools. Fundamentally, advancements in this space builds from the creativity of innovations of the past—and mistakes are necessary. The parlay of mistakes into success is a critical part of the AI innovation process, informing how innovation is cultivated at its very center.
With that being said, CES’ session, How Scalable Data Drives AI Engagement, taps into the “how” of enabling GenAI to drive tangible business growth and fuel these creative innovations. Data is the foundation for AI, yet ample challenges halt the exciting opportunities that GenAI has to offer. Data issues that have remained constant—such as fragmentation, silos, or data quality challenges—will impact the success of AI.
For example, customer consent and compliance with data regulations are significant components of enabling GenAI—and they highlight an interesting dichotomy. While it’s never been easier to collect data and do so in vast amounts—it is difficult to get the right data, and it’s incredibly important to be cognizant of the potentials of data leakage or model bias with increased data collection.
This brings up the inevitable conversation of AI ethics, which was explored in the Trust & Innovation with Generative AI session. The conversation was shaped by experts in education and health industries, where the significance of AI trust in these fields serves as a microcosm for the broader implications of responsible AI implementation in every vertical.
Balancing trust in these AI systems with the expectations of consumers and rapid technological evolution is another consideration that enterprises must reckon with; the panelists agreed that being transparent and forthright with how they bring these AI capabilities to market is crucial. Thorough education within organizations themselves on the nuances of AI is another useful tactic for traversing AI with the responsibility that it necessitates.
Even with the best of intentions, enterprises must still combat the deliberate misinformation that AI can perpetuate in the wrong hands. The Fighting Deepfakes, Disinformation and Misinformation session highlighted an interesting phenomenon: With threats like deepfakes and intentional misinformation on the horizon for cybersecurity, the issue transitions from hacking the system to hacking the human itself.
Deepfakes—or a video or sound recording that replaces someone's face or voice with that of someone else, in a way that appears real, according to the Cambridge Dictionary—display this “hacking the human” strategy in its most malicious—and frightening—form. For example, scammers can generate the voice of a relative on a phone call and trick the receiver into believing there has been some sort of accident and they need money. Another pattern of malice is people creating nude deepfakes of their peers—particularly in high schools.
The serious implications of deepfakes and misinformation campaigns are enormous—and because AI starts with data, it’s imperative that enterprises can trace the output of their models to the origin of their data. As one of the panelists explained, it is becoming a basic, fundamental human right to know what you’re looking at, what you’re hearing, and where it came from—and everyone has a responsibility in maintaining and upholding those rights.
This is just a snippet of the wide range of topics and innovations explored at CES 2025. To view archived sessions from the event, please visit https://www.ces.tech/.