"Does a gorilla playing the drums along to Phil Collins mean anything to you? What about surfers that turn into horses as they're riding the waves? Or a fisherman boxing with a bear over some salmon? Those are just a few of the most iconic adverts to have graced our TV screens over the last five decades. And soon, you'll be able to see them on a humungous scale."
"An upcoming free exhibition titled Ads of the Years will see 68 classic ads from the last 50 years broadcast on Outernet London's enormous floor-to-ceiling screens. The commercials will include Cadbury's Phil Collins-inspired drumming 'Gorilla' from 2008, Guinness's 'Surfer' from 2000 and John West's 'Salmon' as well as LEGO's 1981 'Kipper' ad, several Levi's Jeans campaigns from the nineties and Nike's viral 'Nothing Beats a Londoner' featuring Giggs, Skepta, Harry Kane, Mo Farah and Dina Asher-Smith."
"'British advertising is one of our most powerful creative forces - shaping culture, sparking conversation, and delivering real-world impact far beyond the screen. This curated experience celebrates an industry that not only drives the UK economy, but uses creativity for good, from changing behaviours to saving lives. 'We're incredibly proud to elevate our long-standing partnership with the British Arrows as they mark this milestone moment, and to bring these iconic, unmi"
Outernet London will host a free, immersive exhibition titled Ads of the Years, broadcasting 68 award-winning adverts from the past 50 years on enormous floor-to-ceiling screens. Featured commercials include Cadbury's 2008 'Gorilla', Guinness's 2000 'Surfer', John West's 'Salmon', LEGO's 1981 'Kipper', Levi's campaigns from the 1990s and Nike's 'Nothing Beats a Londoner'. The exhibition is presented by The British Arrows in celebration of its 50th anniversary and features ads that won British Arrows best commercial or best crafted commercial awards. Visitors can vote for their favourite advert; the winner will be announced at the British Arrows 2026 awards.
Read at Time Out London
Unable to calculate read time
Collection
[
|
...
]