From TV to YouTube, the Oscars’ global shift reveals how entertainment, access and platforms are reshaping cultural institutions.
Updated
January 8, 2026 6:29 PM
Youtube app 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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AI growth is increasingly becoming a manufacturing, packaging and deployment challenge — not just a computing one.
Updated
May 26, 2026 5:28 PM
Taipei 101 and Taipei Nan Shan Plaza, viewed from Elephant Mountain. PHOTO: UNSPLASH
As AI companies continue scaling larger models and data centers, the pressure is no longer falling only on chip design. Manufacturing capacity, advanced packaging and infrastructure deployment are becoming equally important parts of the AI race. AMD’s latest investment announcement reflects how quickly that shift is accelerating.
The US chipmaker announced plans to invest more than US$10 billion across Taiwan’s semiconductor and manufacturing ecosystem to support next-generation AI infrastructure. The investment focuses on expanding partnerships and increasing advanced packaging capacity needed for future AI systems.
The announcement highlights a growing reality across the AI industry. Building powerful AI chips is no longer enough on its own. Companies now also need the manufacturing networks, packaging technologies and supply chain coordination required to deploy AI infrastructure at global scale.
AMD’s investments center heavily around advanced chip packaging, an area becoming increasingly critical as AI systems demand higher performance and greater power efficiency. Traditional chip architectures are struggling to keep pace with the size and complexity of modern AI workloads. Advanced packaging helps connect processors, memory and computing systems more efficiently while managing power and cooling limitations inside large-scale AI environments.
The company said it is working with Taiwan-based partners including ASE, SPIL and PTI to develop next-generation packaging technologies for its upcoming 6th Gen AMD EPYC processors, codenamed “Venice.” AMD also said it had qualified what it described as the industry’s first 2.5D panel-based EFB interconnect technology alongside PTI.
At the center of the broader strategy is AMD Helios, the company’s rack-scale AI infrastructure platform scheduled for deployment beginning in the second half of 2026. The platform combines AMD Instinct MI450X GPUs, 6th Gen EPYC CPUs, networking systems and AMD’s ROCm software stack into integrated AI infrastructure systems designed for hyperscale deployment.
Rather than selling individual processors alone, companies are increasingly building complete AI infrastructure platforms that combine hardware, software, cooling systems and power management into unified deployments. That transition is reshaping how AI infrastructure is designed, manufactured and delivered.
Taiwan is also becoming more deeply embedded in that process. AMD’s investment spans not only semiconductor packaging companies but also manufacturing and system integration partners including Sanmina, Wiwynn, Wistron and Inventec. The partnerships reflect Taiwan’s growing role as one of the operational centers of the global AI infrastructure economy.
Dr. Lisa Su, Chair and CEO of AMD, said: “As AI adoption accelerates, our global customers are rapidly scaling AI infrastructure to meet growing compute demand. By combining AMD leadership in high-performance computing with the Taiwan ecosystem and our strategic global partners, we are enabling integrated, rack-scale AI infrastructure that helps customers accelerate deployment of next-generation AI systems”.
Power efficiency is becoming another major challenge shaping AI infrastructure decisions. As AI workloads consume more electricity and generate more heat, infrastructure providers are increasingly being forced to rethink cooling systems, interconnect technologies and deployment economics.
AMD’s announcement signals how the AI competition is evolving beyond model development and raw computing power. The next stage may depend just as heavily on who can manufacture, package and deploy AI infrastructure fast enough to support global demand.