Alauda’s’Airspeeder’ electric flying racing car uses a virtual force field to bring us closer to the future
The future of car racing is here, with the world’s first electric flying racing car. The car successfully hit the skies in a secret location in South Australia over the weekend.
“We are proud to introduce a sport that redefines what humans and machines can achieve together”
Matthew Pearson, Founder, Airspeeder and Alauda Aeronautics
Big name pilots and sci-fi tech
Airspeeder plans to attract ‘elite pilots’ from aviation, motorsport and eSports backgrounds to remotely pilot the vehicles across AI enabled ‘sky tracks.’
The team already includes technical experts, engineers and designers from big-names including F1, Mclaren, Brabham, Boeing, Mclaren, Jaguar and Rolls-Royce.
Airspeeder’s Founder said the technology “delivers on the promise of a future first shown in science fiction”.
Electric flying car Grand Prix could be on the cards as soon as 2021
The successful trial flights means the crew-less electric flying car Grand Prixs will take place as soon as this year.
The company says moving racing to this space will improve “key safety, performance and dynamics technologies”.
Up to four teams with two remote pilots per team will compete in three individual events. Audiences will be able to watch these races online via a live stream.
The racers will “take a seat in a simulator environment that mimics the dynamics and ergonomics of the Mk3 cockpit environment.”
The races will even include stimulated pit stops, using a ‘slide and lock’ system to remove and replace batteries on the ground.
$1.5 trillion technology
Morgan Stanley predicts the technology will be worth $1.5 trillion by 2040.
The company also says they expect the tech to go much further than racing, with emerging applications in ‘air logistics’ and ‘remote medical care’.
The technology also has the potential to “liberate cities from congestion though clean-air passenger applications like air taxis”, says Airspeeder.
“These historic first flights are just the start and we are all excited to begin a momentous new chapter in motorsport’s rich legacy.”
Airspeeder press releasE
Alauda Airspeeder design, performance & safety
The Alauda Airspeeder Mk3 draws its design inspiration from the classic forms of racing cars from the 1950s and 60s.
The company’s head of design Felix Pierron says the car “melds F1 car dynamics with the profile of a fighter jet and function of helicopter.”
At maximum power the craft delivers 320kW, weighing in at only 130kg. The vehicle can lift a weight of more than 80kg.
Natasha is an Associate Producer at ticker NEWS with a Bachelor of arts from Monash University. She has previously worked at Sky News Australia and Monash University as an Online Content Producer.
As businesses embrace cutting-edge tech, challenges like data sovereignty and AI are taking centre stage.
Over the past six months, the AI industry has seen significant advancements, with competing models such as Meta’s Luma and Google’s Gemini entering the market.
However, these developments come with a reality check. Building large language models (LLMs) requires substantial computing power and time, making immediate returns on investment unlikely.
One promising innovation is agentic AI, a step beyond generative AI, which enables proactive, automated solutions.
For instance, this technology could stabilise IT systems autonomously, diagnosing and resolving issues without human intervention.
Data sovereignty has also emerged as a key focus, with increasing emphasis on keeping data within national borders to comply with local laws. This has driven the adoption of sovereign clouds and private data centres, ensuring secure and localised data processing for AI development.
Deepak Ajmani, Vice President of ANZ & APAC Emerging Markets at Confluent, joins to discuss the evolving business landscape.
Key lessons and tips for seamless Copilot adoption
In this episode, Kate Faarland, the Senior Vice President of Data and AI Programs at AvePoint, discusses the importance of AvePoint’s data and AI program, internal challenges with implementing CoPilot, and the organisation’s learnings from rolling out CoPilot for their workforce.