International
Columbia Pictures begins development on ‘Bad Teacher’ sequel
MUMBAI: Columbia Pictures is developing Bad Teacher 2, to be directed by Jake Kasdan and written by Justin Malen, it was announced today by Columbia Pictures president Doug Belgrad and Hannah Minghella, president of Production for the studio. Jimmy Miller, Jake Kasdan, Lee Eisenberg and Gene Stupnitsky will produce the film, and Melvin Mar will be the executive producer. The project is being developed for Cameron Diaz to star in the film but no deal is yet set with the actress.
Commenting on the announcement, Minghella said, “Bad Teacher was a hit not just in North America, but throughout the world. We‘re excited that Jake will be returning to develop and helm the sequel. We love Justin‘s take on the material – it hits all the notes that made the first film such a breakthrough hit and also takes the characters in a new direction that is fresh and fun.”
When it was released in 2011, Bad Teacher was a global hit taking in $216 million. It was also recently announced that Bad Teacher will be coming to CBS television next season in a half-hour series starring Ari Graynor. The Sony Pictures Television and CBS Television Studios co-production received a 13-episode midseason order.
Columbia Pictures senior VP production Jonathan Kadin will oversee development of the project for the studio along with Minghella.
Jake Kasdan is in pre-production on Sony Pictures‘ Sex Tape, also starring Cameron Diaz, with Jason Segel. He most recently directed and executive produced episodes of the hit series New Girl. Kasdan made his feature film debut as writer and director of Zero Effect and also directed the pilots for the television series Freaks and Geeks and Undeclared;returning to feature films, he directed Orange County, wrote, directed and produced The TV Set, co-wrote and directed Walk Hard: The Dewey Cox Story, and directed and executive produced Bad Teacher.
Justin Malen‘s feature film screenplay Bastards was named on The Black List of one of the best unproduced screenplays in 2011. He also completed a rewrite of the comedy project The Manny for Red Wagon and Sony Pictures Entertainment.
Malen is represented by Verve and H2F, and Eisenberg and Stupnitsky are repped by Mosaic and WME. Kasdan is represented by WME.
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.
