Shares in companies that specialize in publishing school textbooks and offering online classes took a big hit on Tuesday after signs emerged that artificial intelligence (AI) bots such as ChatGPT were eating into their business.
Silicon Valley-based Chegg Inc, an education tech company that provides online homework help and textbooks, on Monday said that the explosion of generative AI chatbots had hurt revenue.
“In the first part of the year, we saw no noticeable impact from ChatGPT on our new account growth and we were meeting expectations on new sign-ups,” Chegg CEO Dan Rosensweig told analysts.
Photo: Bloomberg
“However, since March we saw a significant spike in student interest in ChatGPT. We now believe it’s having an impact on our new customer growth rate,” he added.
Specifically, the 18-year-old company reported a sales drop of 7 percent over one year, as well as a 5 percent fall in subscribers.
The admission sent shock waves through the education tech sector, pushing Chegg’s share price down by 48 percent to close on Tuesday at US$9.08 and hammering similar companies, such as UK-based Pearson PLC, which lost 15 percent in London.
Rosensweig insisted that the students’ pivot to ChatGPT was a blip, and that clients who kept their faith in the company’s products “continue to choose us and retain us at high rates.”
He added that Chegg had launched its own AI-powered tool called CheggMate, which was tailored to students and based on GPT-4, the latest iteration of the technology created by Microsoft Corp-backed OpenAI which powers ChatGPT.
Chegg has in the past faced the same accusations addressed to ChatGPT of providing students with readymade ways to cheat, especially during the COVID-19 pandemic when test-taking was largely taking place online outside a teacher’s supervision.
While ChatGPT-style AI has largely been seen as a boon for the economy, the implosion in education tech stocks was the clearest example yet of the technology’s capabilities to assail a company’s bottom line.
Given the technology’s untested nature, experts believe that the companies most vulnerable to AI for now are businesses that require little specialization — such as call centers or tutoring services offered by Chegg and others.
For the time being, “you’re only going to see very specific kinds of tasks that people are willing to farm out to generative AI,” said Vishal Gupta, an associate professor at the University of Southern California’s Marshall School of Business.
These tasks are going to be “lower stakes” given the uncertainties about the technology, he added.
ENERGY ISSUES: The TSIA urged the government to increase natural gas and helium reserves to reduce the impact of the Middle East war on semiconductor supply stability Chip testing and packaging service provider ASE Technology Holding Co (日月光投控) yesterday said it planned to invest more than NT$100 billion (US$3.15 billion) in building a new advanced chip testing facility in Kaohsiung to keep up with customer demand driven by the artificial intelligence (AI) boom. That would be included in the company’s capital expenditure budget next year, ASE said. There is also room to raise this year’s capital spending budget from a record-high US$7 billion estimated three months ago, it added. ASE would have six factories under construction this year, another record-breaking number, ASE chief operating officer Tien Wu
The EU and US are nearing an agreement to coordinate on producing and securing critical minerals, part of a push to break reliance on Chinese supplies. The potential deal would create incentives, such as minimum prices, that could advantage non-Chinese suppliers, according to a draft of an “action plan” seen by Bloomberg. The EU and US would also cooperate on standards, investments and joint projects, as well as coordinate on any supply disruptions by countries like China. The two sides are additionally seeking other “like-minded partners” to join a multicountry accord to help create these new critical mineral supply chains, which feed into
For weeks now, the global tech industry has been waiting for a major artificial intelligence (AI) launch from DeepSeek (深度求索), seen as a benchmark for China’s progress in the fast-moving field. More than a year has passed since the start-up put Chinese AI on the map in early last year with a low-cost chatbot that performed at a similar level to US rivals. However, despite reports and rumors about its imminent release, DeepSeek’s next-generation “V4” model is nowhere in sight. Speculation is also swirling over the geopolitical implications of which computer chips were chosen to train and power the new
TECH WINNERS: Taiwan and South Korea reported robust trade, which suggests that they have critical advantages in the rapidly expanding AI supply chain, an official said Exports last month surged to a new high, as booming demand tied to artificial intelligence (AI) infrastructure fueled shipments of advanced technology components, underscoring the nation’s pivotal role in the global semiconductor supply chain. Outbound shipments climbed to US$80.18 billion, the highest ever for a single month, rising 61.8 percent from a year earlier and marking the 29th consecutive month of growth, the Ministry of Finance said yesterday. “The surge was driven primarily by global investment in AI infrastructure,” Department of Statistics Director-General Beatrice Tsai (蔡美娜) said. The mass production of next-generation AI computing systems has accelerated procurement across the semiconductor supply