CES shows 12 companies redefining Personalization using Robots, AI and Web3. The Agibot X2 humanoid robot dances. (Photo by Patrick T. Fallon / AFP via Getty Images)
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The Rise of Adaptive Systems: How AI, Web3, and Robotics are Redefining Personalization
The Consumer Electronics Show (CES) isn’t just about flashy gadgets anymore. It’s become a barometer of foundational shifts in technology, and this year’s event underscored a powerful convergence: the move beyond simple automation towards truly adaptive systems powered by Artificial Intelligence (AI), Web3 principles, and increasingly sophisticated robotics. Over 148,000 attendees and 4,500 exhibitors signaled a clear message – personalization isn’t a ‘nice-to-have’ feature, it’s the core expectation.
Beyond Recommendations: Personalization as a Trust Signal
For years, personalization meant better recommendations on streaming services or targeted ads. But CES revealed a deeper evolution. Personalization is now inextricably linked to trust. Consumers are increasingly wary of how their data is used, and demand transparency and control. According to McKinsey, AI-powered personalization can boost customer satisfaction by 15-20%, revenue by 5-8%, and reduce service costs by up to 30% – but only if built on a foundation of trust.
Companies like Vannadium are addressing this head-on. Their Leap platform provides real-time, on-chain data provenance, making AI systems explainable and auditable. This isn’t about blockchain as a financial tool, but as an “enterprise trust layer” for AI. As Vannadium’s Co-Founder and Chief Growth Officer, Laura Fredericks, explained, storing even simple data like a photograph “on-chain” creates an immutable record that future AI can rely on with confidence.
Vannadium’s co-founder and Chief Growth Officer, Laura Fredericks, taking a picture that was directly onchain!
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Similarly, Veintree’s privacy-first authentication using biocryptography demonstrates a commitment to verifying identity without storing sensitive biometric data. In an era of increasing data breaches and privacy regulations, this approach is a powerful differentiator.
Did you know?
Data breaches cost companies an average of $4.45 million in 2023, according to IBM’s Cost of a Data Breach Report. Prioritizing data privacy is not just ethical, it’s economically sound.
AI as an Operating Layer: Orchestration, Not Just Tools
The most significant shift at CES wasn’t simply more powerful AI models, but AI evolving from a set of tools into an underlying operating layer. Lenovo’s immersive Sphere experience showcased AI seamlessly connecting devices and workflows, reducing friction and anticipating user needs. This isn’t about AI as a standalone assistant; it’s about AI understanding context and coordinating actions across entire systems.
Modev’s AI House exemplified this, curating relevant connections and conversations for attendees – demonstrating that relevance is the ultimate form of personalization. CTGT AI takes this further with decision intelligence, prioritizing actions based on role, timing, and intent. Their CEO, Cyril Gorlla, emphasized that AI should guide decisions, reducing cognitive load rather than simply answering questions.
Lenovo’s CES Keynote was in the Sphere in Las Vegas.
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The Quiet Revolution: Embedded Personalization & Offline AI
Perhaps the most surprising trend was the rise of embedded personalization that doesn’t rely on constant connectivity. LEGO’s Smart Brick, operating without an internet connection or an on/off switch, is a prime example. Intelligence is built into the brick’s behavior and interaction, prioritizing privacy, durability, and fail-safe operation. This challenges the assumption that smarter products always require more data collection.
Lego showed off their new Smart Bricks with sounds, light and color using a decentralized network for the safety of the children. These bricks do no have an on off switch nor are they connected to the internet.
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Identity as Software: Dynamic Self-Expression
Personalization is extending beyond functional customization into dynamic self-expression. Companies like iPolish (beauty) and Peuty (accessories) are demonstrating how identity is becoming programmable. Peuty’s “Infinity bag,” which adapts its visuals in real-time, is a compelling example. Founder and CEO Richard Peuty envisions a future where fashion is not static, but an adaptive style responding to the wearer’s context and mood.
Richard Peuty, Founder and CEO of Peuty, showing off the Peuty bag that can be changed to match the wearer’s context, mood, and intent.
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Personalization Moves into the Physical World
CES showcased how personalization is increasingly integrated into daily life. Nosh demonstrated AI-powered cooking tailored to dietary needs and preferences. LG’s vision for the “Zero Labor Home,” with AI-powered robots handling routine tasks, represents a significant shift towards ambient intelligence – AI that adapts to how people live, rather than demanding their attention.
Nosh at CES showcased how a robot can cook for you!
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Efficiency as Personalization: The Unexpected Trend
One of the most intriguing trends came from Superheat, which reimagines Bitcoin mining by repurposing waste heat to warm homes. This isn’t about cryptocurrency; it’s about infrastructure adapting to place and purpose, turning a cost into a value. This highlights that efficiency itself can be a powerful form of personalization.
FAQ: The Future of Personalized Experiences
- What is ‘adaptive AI’? Adaptive AI systems learn and adjust their behavior based on user interactions and contextual data, going beyond pre-programmed responses.
- How does Web3 contribute to personalization? Web3 technologies like blockchain provide the trust and data provenance needed for secure and transparent personalization.
- Will personalization lead to more data privacy concerns? It can, but companies are increasingly focusing on privacy-preserving technologies like biocryptography and on-chain data verification.
- What role do robots play in personalization? Robots can deliver personalized services in the physical world, from cooking to home assistance, adapting to individual needs and routines.
Pro Tip:
Don’t focus solely on collecting more data. Prioritize data quality, transparency, and user control. Building trust is paramount.
The companies that will thrive in the coming years aren’t just building smarter products; they’re building systems that understand people, adapt to context, and earn trust by design. The convergence of AI, Web3, and robotics at CES signals that this shift is only just beginning.
