Electronic Arts Cuts Bookings View on ‘Star Wars’ Game Delay, Spending Slowdown

A smartphone with the Electronic Arts logo is seen in front of a displayed "Battlefield 2042" logo in this illustration taken September 16, 2021. (Reuters)
A smartphone with the Electronic Arts logo is seen in front of a displayed "Battlefield 2042" logo in this illustration taken September 16, 2021. (Reuters)
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Electronic Arts Cuts Bookings View on ‘Star Wars’ Game Delay, Spending Slowdown

A smartphone with the Electronic Arts logo is seen in front of a displayed "Battlefield 2042" logo in this illustration taken September 16, 2021. (Reuters)
A smartphone with the Electronic Arts logo is seen in front of a displayed "Battlefield 2042" logo in this illustration taken September 16, 2021. (Reuters)

Electronic Arts Inc lowered its annual bookings forecast on Tuesday, as the videogame publisher delayed the release of a title based on the "Star Wars" franchise and consumers dialed back spending in a sagging economy.

The company's shares fell nearly 7% in extended trading as the results added to last week's grim gaming forecast from Xbox maker Microsoft Corp, fanning fears that a downturn in the industry was set to continue this year.

After two years of pandemic-driven growth, the gaming market fell 4.3% in 2022, according to estimates from analytics firm NewZoo. Some of the drop was due to a lack of big new titles.

EA on Tuesday pushed out the launch of "Star Wars Jedi: Survivor" by six weeks to April 28, which would fall into its next fiscal year. The game is a sequel to its 2019 "Star Wars Jedi: Fallen Order" title that has drawn over 20 million players.

The results, meanwhile, showed that recent launches were not doing enough to draw consumers, who are prioritizing essentials in the face of still-high inflation and rising interest rates.

The company, which in recent months released "Need for Speed Unbound" and the latest installment in its "FIFA" series, now expects annual bookings between $7.07 billion and $7.17 billion. It had forecast $7.65 billion to $7.85 billion previously.

Its third-quarter adjusted sales and profit also came in below analysts' expectations, according to Refinitiv data.

"Weak, but not a disaster," Wedbush Securities analyst Michael Pachter said of the results, adding the "Star Wars" title delay led to a "huge shift of earnings" into next year.

"Demand in free-to-play is down a bit, my best guess is that consumers are freaked out by inflation and fears of a recession," he said.

Companies like EA monetize free-to-play games by selling virtual items such as loot boxes and characters to people.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.