Samsung is rolling out Vision AI Companion to its 2025 TVs, bringing conversational Bixby that can explain what is on screen in real time. The update uses generative models to answer questions, suggest content, and keep context through follow-ups.
Moreover, According to a detailed report, the assistant combines multiple AI services, including Microsoft Copilot and Perplexity. It supports natural dialogue and can display visual elements on the TV during responses. The rollout spans several languages and will reach new Samsung sets first, with broader availability expected as models ship.
Furthermore, Consumers can ask who an actor is, what a painting depicts, or the final score in a game. The same assistant can pivot into recommendations, cooking ideas, travel tips, and nearby restaurants. The device keeps the conversation flowing so people do not have to restate context. This marks a shift from simple voice commands to full, on-screen AI interactions.
Vision AI Companion: rollout and features
Therefore, Samsung is delivering the feature across its 2025 TV lineup as a software layer built into the interface. The experience is designed to surface answers alongside video, so practical information remains visible. That visual feedback should reduce the need to reach for a phone during a show or a match. Companies adopt Vision AI Companion to improve efficiency.
Consequently, As reported by The Verge, the new assistant is an upgraded Bixby that uses generative AI to drive open-ended chat. The company says it can handle context and follow-ups while tapping multiple models. It also claims multilingual support at launch, with more languages expected. Early use cases lean on entertainment, discovery, and general knowledge queries.
As a result, For deeper answers, the system can call out to partner services. Microsoft Copilot helps with generative tasks and grounded responses. Perplexity contributes search-style retrieval and concise summaries. This orchestration aims to balance speed, accuracy, and breadth of knowledge.
In addition, Privacy and latency will matter here. On-device processing can speed up tasks and buffer sensitive data. Cloud services can improve breadth and reasoning, but they require network calls. Samsung’s blended approach suggests it will shift across modes to match the question and the content on screen. Experts track Vision AI Companion trends closely.
Samsung Bixby generative AI under the hood
Additionally, Building a conversational layer into a TV demands careful routing across models and domains. As The Verge notes, Samsung is combining various models, including Copilot and Perplexity, to provide natural answers. That strategy mirrors broader platform trends, where a single assistant brokers tasks across specialized engines.
For example, In practical terms, Copilot can draft, summarize, or reason through instructions. Perplexity can fetch current facts and cite sources with crisp summaries. Together, these services can explain a film cameo, recommend a director’s best work, or map a weekend itinerary. Additionally, the TV context allows the assistant to overlay visuals, which can improve comprehension.
For instance, This design also hints at a future of modular assistants. Vendors may mix first-party models with best-in-class partners for specific domains. Therefore, capabilities can expand faster than a single vendor could build alone. Moreover, orchestration can route queries to the most relevant model, which improves accuracy and cost. Vision AI Companion transforms operations.
Bixby generative AI Frontier firms highlight AI platform impact
Meanwhile, The business case for these platform moves is strengthening. Microsoft’s new global study with IDC shows that 68% of AI decision-makers are already using AI, but leading Frontier firms see far higher returns. The analysis finds Frontier firms report returns three times higher than slow adopters.
In contrast, Importantly, these leaders deploy AI across an average of seven business functions. More than 70% use it in customer service, marketing, IT, product development, and cybersecurity. As a result, Frontier firms report better outcomes at a rate four times greater across brand differentiation, cost efficiency, top-line growth, and customer experience. Those gains point to why platform integrations, like Copilot inside TV assistants, keep accelerating.
On the other hand, For consumer devices, the study’s lesson is clear. Broad, coordinated AI use creates compounding value. TVs that blend models for entertainment, search, and planning can move from novelty to daily utility. Consequently, households get a consistent assistant that works across use cases, not just voice commands. Industry leaders leverage Vision AI Companion.
AI assistants for smart TVs are evolving
Notably, Televisions have long supported voice queries. Generative AI now turns those queries into dialogues. That shift enables explanations, comparisons, and multi-step planning that voice remotes never handled well. It also adds risks, including hallucinations and unclear sourcing, which vendors must mitigate.
In particular, Grounded answers and transparent sourcing will be vital. Perplexity’s approach to direct, citation-led responses can help. Copilot’s enterprise-grade controls can also improve safety and content filters. Vendors should clearly indicate when answers use web results, and they should give users control over data sharing.
Specifically, Accessibility stands to improve, too. On-screen summaries, larger text, and step-by-step instructions can help viewers follow complex topics. In addition, multilingual support expands usefulness for global audiences. Shortcuts to refine answers, save snippets, or jump into related content would further reduce friction. Companies adopt Vision AI Companion to improve efficiency.
Overall, Developers will watch for APIs that expose on-screen context in a privacy-safe way. If Samsung opens hooks for apps to request scene context or user intent, third-party services could build new experiences. That might include dynamic sports stats, art guides, or cooking modes that pair with smart kitchens. Furthermore, better on-device ASR and TTS engines can reduce lag and keep the chat feeling natural.
What to watch next
Finally, Expect rapid iteration over the next model cycle. Samsung can tune model routing, language support, and edge processing based on live usage. It can also add safety layers to reduce hallucinations, while surfacing citations more clearly. Because TVs sit at the center of home media, gains here may ripple into soundbars, monitors, and set-top boxes.
First, The broader platform story is convergence. Assistants are moving from phones and PCs into living rooms, cars, and appliances. Partnerships with providers like Microsoft and Perplexity will likely deepen as features expand. In turn, consumers should get a more consistent AI layer across devices, which reduces learning curves and boosts trust. Experts track Vision AI Companion trends closely.
Second, Samsung’s Vision AI Companion is an early glimpse of that future. It turns the TV into a conversational hub that explains, recommends, and guides while you watch. If vendors continue to blend strong models, careful guardrails, and clear UX, the TV might become the home’s smartest screen.
For deeper details on the rollout, see The Verge’s report on Samsung’s conversational TV update (The Verge). The Microsoft-commissioned IDC study on Frontier firms is summarized on the company’s blog (Microsoft). For platform specifics, review Microsoft Copilot and Perplexity overviews.