What once felt experimental is now showing up where decisions are made — inside the products and platforms people rely on every day. Artificial intelligence is becoming structural, operating within connected AI ecosystems that replace isolated applications with systems designed for real-world execution.

CES 2026 is set to provide a clear snapshot of this shift, as AI moves closer to where decisions happen, embedded directly into devices, infrastructure and environments that must respond in real time. Connected AI ecosystems are accelerating that shift, linking mobility, healthcare and robotics through shared data while reshaping expectations for scale, sustainability and trust, according to Rob Strechay, principal analyst at theCUBE Research.

“We see that AI is being brought in more and more this year to CES and the products being showcased,” Strechay said. “How AI and the consumer meet is going to be at the forefront of what we will be exploring.”

Join theCUBE on Jan. 21, SiliconANGLE Media’s livestreaming studio, for exclusive coverage of CES 2026 as theCUBE’s Strechay and Savannah Peterson talk with experts from Ernst & Young LLP, Arm Ltd., Alienware Corp. and Dell Technologies Inc., among others. Together, they examine how AI is shifting from experimental use to connected AI ecosystems that unify mobility, digital health, robotics and sustainability through real-world deployment and execution. (* Disclosure below.)

How connected AI ecosystems are redefining execution

Connected AI ecosystems are reshaping mobility by pushing intelligence closer to where decisions are made. Autonomous vehicles, air mobility concepts and marine innovations increasingly rely on localized inference rather than constant cloud dependence. This architectural shift enables faster response times and greater resilience while opening the door to new service models built on continuous data exchange.

In digital health, those same ecosystem principles are driving more personalized and proactive care. AI-enabled diagnostics, monitoring tools and imaging systems are beginning to operate as part of a unified loop between patients, providers and devices. Instead of isolated applications, healthcare technologies are forming interconnected platforms that support real-time insight and long-term outcomes.

That transition depends on infrastructure designed for coordination and orchestration rather than siloed systems.

“Network fabrics are most critical to this transition with supporting elements that include disaggregated storage, governed data planes and a shift from app-centric operations to an intelligent, agentic control plane that orchestrates models, tools and process workflows,” said Dave Vellante, chief analyst at theCUBE Research.

That shift becomes most visible in robotics. From manufacturing floors to consumer environments, robots are becoming participants in broader AI ecosystems rather than standalone machines. The ability to collaborate with humans and other systems depends on shared standards, interoperable data and consistent access to compute resources.

Sustainability becomes the proving ground for AI at scale

Sustainability has emerged as a defining pressure point within these ecosystems. Energy efficiency, materials science and compute optimization are no longer secondary concerns, especially as AI workloads scale. The industry focus is turning toward solutions that balance performance with environmental impact, particularly in how infrastructure is designed and deployed.

That balance between intelligence and sustainability is becoming a core differentiator. Exhibitors and vendors are increasingly expected to demonstrate how AI can support energy transitions rather than complicate them.

“As a judge for the Sustainability & Energy Transition category at CES 2026, I’m energized by how this year’s entrants reflect the most critical challenges of our time,” Strechay said. “With AI emerging as the connective tissue across the entire show, the real excitement is in how exhibitors are pairing intelligent systems with sustainable innovation, such as new battery materials, lower-waste semiconductors and cleaner energy production models that redefine efficiency. This year isn’t just about breakthrough products; it’s about proving that an ‘all-of-the-above’ energy strategy can be profitable, scalable and better for the planet.”

As connected AI ecosystems continue to mature, the industry focus is settling on integration, execution and measurable impact rather than novelty. The next phase will be defined by how effectively organizations align intelligence, infrastructure and sustainability into cohesive, real-world systems. Tune into theCUBE’s CES 2026 coverage as we provide breaking news and analyst insights.

TheCUBE event livestream

Don’t miss theCUBE’s coverage of the CES 2026 event on Jan. 21. Plus, you can watch theCUBE’s event coverage on-demand after the live event.

How to watch theCUBE interviews

We offer you various ways to watch theCUBE’s coverage of CES 2026, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.

TheCUBE podcasts

SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy while on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in enterprise tech — from AI and cloud to regulation and workplace culture — with exclusive context and analysis.

SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante examines the top stories in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.

Guests

During CES 2026, theCUBE will talk with the following experts, and others, about how connected AI ecosystems are moving intelligence from experimentation into real-world execution across mobility, digital health, robotics and sustainability — with integration, scale and impact replacing novelty as the measure of progress:

• Kapish Vanvaria, managing partner, risk consulting leader at EY
• Chris Bergey, executive vice president of the edge AI business unit at Arm
• Travis North, senior distinguished thermal engineering technologist at Dell
• Whitt Butler, Americas vice chair, consulting at EY
• Eddy Goyanes, global product marketer and brand historian at Alienware
• Marc Hammons, senior director, CSG at Dell
• Dan Diasio, global consulting AI leader at EY
• Yoon Lee, VP and general manager of the displays and docks product groups at Dell
• Lisa Matrasko, product marketing consultant, Alienware Gaming product messaging and GTM at Dell
• Hyong Kim, global and Americas TMT industry leader at EY
• Jon Siegal, senior vice president of product marketing at Dell
• Michelle Gillespie, director, CSG marketing at Dell

(* Disclosure: TheCUBE is a paid media partner for CES 2026. Sponsors of theCUBE’s coverage do not have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE