Youube on a mobile device. PHOTO: UNSPLASH
From TV to YouTube, the Oscars’ global shift reveals how entertainment, access and platforms are reshaping cultural institutions.
Updated
December 19, 2025 9:02 PM
Youube on a mobile device. PHOTO: UNSPLASH
The Oscars are moving to YouTube. Beginning in 2029, the Academy of Motion Picture Arts and Sciences has signed a multi-year agreement that makes YouTube the exclusive global home of the Oscars through 2033. From the ceremony itself to red carpet coverage, behind-the-scenes access and the Governors Ball, the entire experience will live on a platform most people already open every day.
On the surface, it looks like a distribution shift. In reality, it signals a broader strategic reset. For decades, television delivered scale for cultural institutions. Today, reach and discovery live on platforms, not channels. By choosing YouTube, the Academy is quietly acknowledging that cultural relevance today is built where audiences already are. In that context, YouTube is no longer just a place to watch clips but an emerging piece of cultural infrastructure.
What also stands out is how the Oscars are being reframed. This partnership is not limited to one night a year. Alongside the ceremony, YouTube will host year-round Academy programming through the Oscars YouTube channel. That includes nominations announcements, the Governors Awards, the Student Academy Awards, the Scientific and Technical Awards, filmmaker interviews, podcasts and education programs. Instead of a single broadcast moment, the Oscars are turning into an always-on ecosystem.
Accessibility is another central pillar of the deal. The Oscars will be free to watch globally, supported by closed captioning and audio tracks in multiple languages. This is less about nice-to-have features and more about staying relevant in a global, digital-first world. Younger audiences and viewers outside traditional Western markets expect access by default. The Academy is clearly building with that expectation in mind.
There is also a deeper exchange happening between heritage and technology. YouTube gains cultural weight by hosting one of the world’s most established creative institutions. The Academy, in turn, gains technological legitimacy and a clearer path into the future.
That balance extends to how the transition is being handled. The Academy’s domestic broadcast partnership with Disney ABC will continue through the 100th Oscars in 2028 and the international arrangement with Disney’s Buena Vista International remains in place until then. This is not an abrupt break from legacy media but a carefully phased shift. Change is being managed without burning bridges.
“We are thrilled to enter into a multifaceted global partnership with YouTube to be the future home of the Oscars and our year-round Academy programming,” said Academy CEO Bill Kramer and Academy President Lynette Howell Taylor. “The Academy is an international organization and this partnership will allow us to expand access to the work of the Academy to the largest worldwide audience possible — which will be beneficial for our Academy members and the film community. This collaboration will leverage YouTube’s vast reach and infuse the Oscars and other Academy programming with innovative opportunities for engagement while honoring our legacy. We will be able to celebrate cinema, inspire new generations of filmmakers and provide access to our film history on an unprecedented global scale.”
From YouTube’s side, the partnership places the platform firmly in the center of global cultural moments. “The Oscars are one of our essential cultural institutions, honoring excellence in storytelling and artistry,” said Neal Mohan, CEO, YouTube. “Partnering with the Academy to bring this celebration of art and entertainment to viewers all over the world will inspire a new generation of creativity and film lovers while staying true to the Oscars’ storied legacy.”
Google Arts & Culture extends the partnership beyond the ceremony. Select Academy Museum exhibitions and materials from the Academy’s 52-million-item collection will be made digitally accessible worldwide, bringing film history and education onto the same platform.
Taken together, the deal is less about where the Oscars will stream and more about how cultural institutions are adapting to the changing landscape. The Academy is positioning itself to be present year-round, globally accessible and aligned with the platforms that shape everyday viewing.
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Examining the shift from fast answers to verified intelligence in enterprise AI.
Updated
November 28, 2025 4:18 PM
Startup employee reviewing business metrics on an AI-powered dashboard. PHOTO: FREEPIK
Neuron7.ai, a company that builds AI systems to help service teams resolve technical issues faster, has launched Neuro. It is a new kind of AI agent built for environments where accuracy matters more than speed. From manufacturing floors to hospital equipment rooms, Neuro is designed for situations where a wrong answer can halt operations.
What sets Neuro apart is its focus on reliability. Instead of relying solely on large language models that often produce confident but inaccurate responses, Neuro combines deterministic AI — which draws on verified, trusted data — with autonomous reasoning for more complex cases. This hybrid design helps the system provide context-aware resolutions without inventing answers or “hallucinating”, a common issue that has made many enterprises cautious about adopting agentic AI.
“Enterprise adoption of agentic AI has stalled despite massive vendor investment. Gartner predicts 40% of projects will be canceled by 2027 due to reliability concerns”, said Niken Patel, CEO and Co-Founder of Neuron7. “The root cause is hallucinations. In service operations, outcomes are binary. An issue is either resolved or it is not. Probabilistic AI that is right only 70% of the time fails 30% of your customers and that failure rate is unacceptable for mission-critical service”.
That concern shaped how Neuro was built. “We use deterministic guided fixes for known issues. No guessing, no hallucinations — and reserve autonomous AI reasoning for complex scenarios. What sets Neuro apart is knowing which mode to use. While competitors race to make agents more autonomous, we're focused on making service resolution more accurate and trusted”, Patel explained.
At the heart of Neuro is the Smart Resolution Hub, Neuron7’s central intelligence layer that consolidates service data, knowledge bases and troubleshooting workflows into one conversational experience. This means a technician can describe a problem — say, a diagnostic error in an MRI scanner — and Neuro can instantly generate a verified, step-by-step solution. If the problem hasn’t been encountered before, it can autonomously scan through thousands of internal and external data points to identify the most likely fix, all while maintaining traceability and compliance.
Neuro’s architecture also makes it practical for real-world use. It integrates seamlessly with enterprise systems such as Salesforce, Microsoft, ServiceNow and SAP, allowing companies to embed it within their existing support operations. Early users of Neuron7’s platform have reported measurable improvements — faster resolutions, higher customer satisfaction and reduced downtime — thanks to guided intelligence that scales expert-level problem solving across teams.
The timing of Neuro’s debut feels deliberate. As organizations look to move past the hype of generative AI, trust and accountability have become the new benchmarks. AI systems that can explain their reasoning and stay within verifiable boundaries are emerging as the next phase of enterprise adoption.
“The market has figured out how to build autonomous agents”, Patel said. “The unsolved problem is building accurate agents for contexts where errors have consequences. Neuro fills that gap”.
Neuron7 is building a system that knows its limits — one that reasons carefully, acts responsibly and earns trust where it matters most. In a space dominated by speculation, that discipline may well redefine what “intelligent” really means in enterprise AI.