International
Cinema ads slow but still grow
MUMBAI: Revenue from advertising in U.S. movie theaters grew just 5.8 per cent last year marking the slowest gain in the seven years that such statistics have been kept.
Still, the Cinema Advertising Council, which is about to release its 2008 report can boast of an ad industry still showing growth while most others are not.
“Media has seen such huge slippage — with audiences and advertisers both leaving — that to have a medium with growth is significant,” CAC president and chairman David Kupiec said.
According to the CAC, cinema advertising in the U.S. grew 5.8 per cent to $571 million in 2008, down from 19 per cent growth the previous year and 15 per cent the year before that.
The CAC has been keeping track of revenue generated by the industry since 2002, when the industry took in just $186 million. Since then, it has grown at an average clip of 21 per cent each year.
The CAC measures ad dollars from onscreen and other in-theater initiatives but only at member theaters, which account for 82 per cent of U.S. movie screens.
Kupiec said that this year theaters are closing more ad deals than last year, but, because of the weak economy, they are smaller in size.
Advertisers pay a premium on a CPM basis for cinema advertising compared with television because the recall rate is as much as five times greater, Kupiec said.
Cinema ad campaigns can run as high as $2 million a month for ads on 30,000 screens. On a CPM basis, they usually run $30-$40, about twice the going rate for primetime television.
In 2008, 90 per cent of cinema advertising was of the onscreen variety, while lobby-based ads, sampling, concession promotions, etc. made up the other 10%.
The CAC said 77 per cent of the ad revenue last year came from national and regional advertisers and that the remainder was from local sales.
As if their ever-growing brood wasn‘t already a clear sign, Brangelina loves kids. So it‘s no surprise that the power couple spares no expense when it comes to children‘s charitable causes.
LOS ANGELES: Acting has never been an easy profession, but in recent years, it has acquired a new existential anxiety. Artificial intelligence can now mimic faces, clone voices and, in theory at least, speak any language it is fed. The fear that actors may soon be replaced by algorithms no longer belongs exclusively to science fiction. And yet, despite the rise of digital inauthenticity, some performers remain stubbornly resistant to replacement. The reason is not celebrity, nor even talent. It is language.
On paper, this should not be a problem. AI can translate. It can imitate accents. It can string together grammatically correct sentences in dozens of languages. But acting, inconveniently, is not about grammatical correctness. It is about meaning, and meaning is where AI still falters.
Machine translation offers a cautionary tale. Google Translate, now powered by neural AI, has improved markedly since its debut in 2006. It can manage menus, emails and airport signage with impressive efficiency. What it struggles with, however, are the moments that matter most: idioms, metaphors, irony, and cultural shorthand. Ask it to translate a joke, a threat disguised as politeness, or a line heavy with emotional subtext, and it begins to unravel. Acting lives precisely in those gaps.
This matters because film language is rarely literal. Scripts, particularly in independent cinema, rely on figurative speech and symbolism to convey what characters cannot say outright. Pedro Almodóvar’s Volver is a useful example. The film’s recurring use of red operates on multiple levels: grief, desire, repression, liberation, and memory. These meanings are inseparable from the Spanish cultural context and emotional cadence. A translation may convey the words, but not the weight they carry. An AI-generated performance might replicate the sound, but not the sense.
This is where multilingual actors gain their edge. Performers such as Penélope Cruz and SofÃa Vergara do not simply switch between languages; they move between cultural logics. Their fluency allows them to inhabit characters without flattening them for international consumption. Language, for them, is not an accessory but a structuring force.
Beyond European cinema, this becomes even more pronounced. Languages such as Hindi, Arabic and Mandarin are spoken by hundreds of millions of people and underpin vast cinematic traditions. As global audiences grow more interconnected, the demand for authenticity increases rather than diminishes. Viewers can tell when a performance has been filtered through approximation. Subtle errors, misplaced emphasis, and an unnatural rhythm break the illusion.
There is also a practical dimension. Multilingualism expands opportunity. SofÃa Vergara has spoken openly about how learning English enabled her to work beyond Colombia and access Hollywood roles. But this movement is not a one-way export of talent into English-speaking cinema. Multilingual actors carry stories, styles and sensibilities back with them, enriching multiple industries at once.
Cinema has always thrived on such hybridity. Denzel Washington’s performances, for instance, draw on the cultural realities of growing up African American in the United States, while also reflecting stylistic influences from classic Hollywood and Westerns. His work demonstrates how identity and influence intersect on screen. Multilingual actors extend this intersection further, embodying multiple cultural frameworks simultaneously.
At times, linguistic authenticity is not merely artistic but ethical. Films that confront historical trauma, such as Schindler’s List, rely on language to anchor their moral seriousness. When Jewish actors perform in German, the choice is not incidental. Language becomes a site of memory and confrontation. It is difficult to imagine an automated voice carrying that responsibility without hollowing it out.
This is why claims that AI heralds the death of language miss the point. Language is not just a delivery system for information. It is a repository of history, humour, power and pain. Fluency is not only about knowing what to say, but when to hesitate, when to understate, and when to let silence do the work. These are not technical problems waiting to be solved; they are human instincts shaped by lived experience.
AI may one day improve its grasp of metaphor and nuance. It may even learn to sound convincing. But acting is not about sounding convincing; it is about being convincing. Until algorithms can acquire memory, cultural inheritance and emotional intuition, multilingual actors will remain irreplaceable. AI may learn to speak. But it cannot yet learn to mean.
In an industry increasingly tempted by shortcuts, language remains stubbornly resistant to automation. And for actors who can move between worlds, linguistic, cultural, and emotional, that resistance is not a weakness, but a quiet, enduring advantage.
