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Daily Newsletter

11 August 2023

Daily Newsletter

11 August 2023

Lucid targets 10ks EVs this year

Gravity SUV on track to launch in 2024

Dani Cole August 10 2023

EV startup Lucid has says it is on track to reaching its 2023 production target of more than 10,000 vehicles.

It reported Q2 2023 revenue of $150.9 million, with 1,404 vehicle deliveries.

Peter Rawlinson, Lucid’s CEO and CTO said: “During our second quarter, we achieved several major milestones, including signing agreements to enter into a long-term strategic partnership with Aston Martin.”

Earlier this year it was announced that Lucid would supply its EV powertrain technology to the British luxury automaker.

Lucid is expected to unveil its all-electric Gravity SUV in November this year and will launch in 2024. The event will be livestreamed, Mr Rawlinson said.

Sherry House, Lucid’s CFO said: “In the second quarter, we raised $3.0 billion in capital, including $1.8 billion from the PIF [Saudi Arabia’s Public Investment Fund], and I’m pleased to say that our current liquidity of $6.25 billion is expected to take us through the start of production for the Lucid Gravity, and into 2025.”

Additional announcements during Lucid’s Q2 2023 earnings call included the opening of its second factory in Saudi Arabia in September, which will be the first facility outside of the US.

AI is a key part of the digital revolution shaping the automotive sector

GlobalData estimates the total AI market will be worth $909 billion in 2030, having grown at a CAGR of 35% between 2022 and 2030. The automotive sector is undergoing a digital transformation fuelled by changing global supply-chain dynamics, tighter market competition, and rising inflation. AI is a key part of this digital revolution. Focus is directed toward driver assistance features for safety and hazard detection and greater automation of many vehicle processes and functions. Simultaneous localization and mapping (SLAM), facial recognition, and motion tracking will be vital for developing incockpit safety features such as early driver fatigue detection. For the most part, the automotive sector will not play a significant role in creating and developing generative AI hardware or platforms. Instead, it will be a key driver for innovations in machine learning platforms and associated IoT hardware for autonomous driving and ADAS. This will also help to drive advances and greater scale-up of adoption of these AI technologies in adjacent sectors such as travel and tourism and construction.

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