Amazon plans to give Alexa an AI overhaul — and a monthly subscription price
Amazon is upgrading its decade-old Alexa voice assistant with generative artificial intelligence and plans to charge a monthly subscription fee to offset the cost of the technology, according to people with knowledge of Amazon’s plans.
The Seattle-based tech and retail giant will launch a more conversational version of Alexa later this year, potentially positioning it to better compete with new generative AI-powered chatbots from companies including Google and OpenAI, according to two sources familiar with the matter, who asked not to be named because the discussions were private. Amazon’s subscription for Alexa will not be included in the $139-per-year Prime offering, and Amazon has not yet nailed down the price point, one source said.
Amazon declined to comment on its plans for Alexa.
While Amazon wowed consumers with Alexa’s voice-driven tasks in 2014, its capabilities could seem old-fashioned amid recent leaps in artificial intelligence. Last week, OpenAI announced GPT-4o, with the capability for two-way conversations that can go significantly deeper than Alexa. For example, it can translate conversations into different languages in real time. Google launched a similar generative-AI-powered voice feature for Gemini.
Some interpreted last week’s announcements as a threat to Alexa and Siri, Apple‘s voice assistant feature for iPhones. NYU professor Scott Galloway called the updates the “Alexa and Siri killers” on his recent podcast. Many people use Alexa and Siri for basic tasks, such as setting timers or alarms and announcing the weather.
The development of new AI chatbots in recent months has increased the pressure internally on a division that was once seen as a darling of Amazon founder Jeff Bezos, according to the sources — but has been subject to strict profit imperatives since his departure.
Three former employees pointed to Bezos’ early obsession with Alexa, describing it as his passion project. Attention from Bezos resulted in more dollars and less pressure to make a return on those funds immediately.
That changed when Andy Jassy took over as CEO in 2021, according to three sources. Jassy was charged with rightsizing Amazon’s business during the pandemic, and Alexa became less of a priority internally, they said. Jassy has been privately underwhelmed with what modern-day Alexa is capable of, according to one person. The Alexa team worried they had invented an expensive alarm clock, weather machine and way to play Spotify music, one source said.
For instance, Jassy, an avid sports fan, asked the voice assistant the live score of a recent game, according to a person in the room, and was openly frustrated that Alexa didn’t know an answer that was so easy to find online.
When reached for comment, Amazon pointed to the company’s annual shareholder letter released last month. In it, Jassy mentioned that the company was building a “substantial number of GenAI applications across every Amazon consumer business,” adding that that included “an even more intelligent and capable Alexa.”
The team is now tasked with turning Alexa into a relevant device that holds up amid the new AI competition, and one that justifies the resources and headcount Amazon has dedicated to it. It has undergone a massive reorganization, with much of the team shifting to the artificial general intelligence, or AGI, team, according to three sources. Others pointed to bloat within Alexa, a team of thousands of employees.
As of 2023, Amazon said it had sold more than 500 million Alexa-enabled devices, giving the company a foothold with consumers.
Alexa, were you too early?
Apple, Amazon and Google were early movers with their voice assistants, which did employ AI. But the current wave of advanced generative AI enables much more creative, human-sounding interactions. Apple is expected to unveil a more conversational Siri at its annual developers conference in June, according to The New York Times.
Those who worked on the Alexa team describe it as a great idea that may have been too early, and that it’s going to be hard to turn the ship around.
There’s also the challenge of finding AI engineering talent, as OpenAI, Microsoft and Google recruit from the same pool of academics and tech talent. Plus, generative AI workloads are expensive thanks to the hardware and computing power required. One source estimated the cost of using generative AI in Alexa at 2 cents per query, and said a $20 price point was floated internally. Another suggested it would need to be in a single-digit dollar amount, which would undercut other subscription offerings. OpenAI’s ChatGPT charges $20 per month for its advanced models.
Still, they point to Alexa’s installed user base, with devices in hundreds of millions of homes, as an opportunity. Those who worked on Alexa say the fact that it’s already in people’s living rooms and kitchens makes the stakes higher, and mistakes more costly if Alexa doesn’t understand a command or provides unreliable information.
Amazon has been battling a perception that it’s behind in artificial intelligence. While it offers multiple AI models on Amazon Web Services, it does not have a leading large language model to unseat OpenAI, Google or Meta. Amazon spent $2.75 billion backing AI startup Anthropic, its largest venture investment in the company’s three-decade history. Google also has an Anthropic investment and partnership.
Amazon will use its own large language model, Titan, in the Alexa upgrade, according to a source.
Bezos is among those who have voiced concern that Amazon is behind in AI, according to two sources familiar with him. Bezos is still “very involved” in Amazon’s AI efforts, CNBC reported last week, and has been sending Amazon executives emails wondering why certain AI startups are picking other cloud providers over AWS.
Technology
As nations build ‘sovereign AI,’ open-source models and cloud computing can help, experts say
Digital illustration of a glowing world map with “AI” text across multiple continents, representing the global presence and integration of artificial intelligence.
Fotograzia | Moment | Getty Images
As artificial intelligence becomes more democratized, it is important for emerging economies to build their own “sovereign AI,” panelists told CNBC’s East Tech West conference in Bangkok, Thailand, on Friday.
In general, sovereign AI refers to a nation’s ability to control its own AI technologies, data and related infrastructure, ensuring strategic autonomy while meeting its unique priorities and security needs.
However, this sovereignty has been lacking, according to panelist Kasima Tharnpipitchai, head of AI strategy at SCB 10X, the technology investment arm of Thailand-based SCBX Group. He noted that many of the world’s most prominent large language models, operated by companies such as Anthropic and OpenAI, are based on the English language.
“The way you think, the way you interact with the world, the way you are when you speak another language can be very different,” Tharnpipitchai said.
It is, therefore, important for countries to take ownership of their AI systems, developing technology for specific languages, cultures, and countries, rather than just translating over English-based models.
Panelists agreed that the digitally savvy ASEAN region, with a total population of nearly 700 million people, is particularly well positioned to build its sovereign AI. People under the age of 35 make up around 61% of the population, and about 125,000 new users gain access to the internet daily.
Given this context, Jeff Johnson, managing director of ASEAN at Amazon Web Services, said, “I think it’s really important, and we’re really focused on how we can really democratize access to cloud and AI.”
Open-source models
According to panelists, one key way that countries can build up their sovereign AI environments is through the use of open-source AI models.
“There is plenty of amazing talent here in Southeast Asia and in Thailand, especially. To have that captured in a way that isn’t publicly accessible or ecosystem developing would feel like a shame,” said SCB 10X’s Tharnpipitchai.
Doing open-source is a way to create a “collective energy” to help Thailand better compete in AI and push sovereignty in a way that is beneficial for the entire country, he added.
Open-source generally refers to software in which the source code is made freely available, allowing anyone to view, modify and redistribute it. LLM players, such as China’s DeepSeek and Meta’s Llama, advertise their models as open-source, albeit with some restrictions.
The emergence of more open-source models offers companies and governments more options compared to relying on a few closed models, according to Cecily Ng, vice president and general manager of ASEAN & Greater China at software vendor Databricks.
AI experts have previously told CNBC that open-source AI has helped China boost AI adoption, better develop its AI ecosystem and compete with the U.S.
Access to computing
Prem Pavan, vice president and general manager of Southeast Asia and Korea at Red Hat, said that the localization of AI had been focused on language until recently. Having sovereign access to AI models powered by local hardware and computing is more important today, he added.
Panelists said that for emerging countries like Thailand, AI localization can be offered by cloud computing companies with domestic operations. These include global hyperscalers such as AWS, Microsoft Azure and Tencent Cloud, and sovereign players like AIS Cloud and True IDC.
“We’re here in Thailand and across Southeast Asia to support all industries, all businesses of all shapes and sizes, from the smallest startup to the largest enterprise,” said AWS’s Johnson.
He added that the economic model of the company’s cloud services makes it easy to “pay for what you use,” thus lowering the barriers to entry and making it very easy to build models and applications.
In April, the U.N. Trade and Development Agency said in a report that AI was projected to reach $4.8 trillion in market value by 2033. However, it warned that the technology’s benefits remain highly concentrated, with nations at risk of lagging behind.
Among UNCTAD’s recommendations to the international community for driving inclusive growth was shared AI infrastructure, the use of open-source AI models and initiatives to share AI knowledge and resources.
Technology
Amazon CEO Jassy says AI will lead to ‘fewer people doing some of the jobs’ that get automated
Amazon CEO Andy Jassy said the rapid rollout of generative artificial intelligence means the company will one day require fewer employees to do some of the work that computers can handle.
“Like with every technical transformation, there will be fewer people doing some of the jobs that the technology actually starts to automate,” Jassy told CNBC’s Jim Cramer in an interview on Monday. “But there’s going to be other jobs.”
Even as AI eliminates the need for some roles, Amazon will continue to hire more employees in AI, robotics and elsewhere, Jassy said.
Earlier this month, Jassy admitted that he expects the company’s workforce to decline in the next few years as Amazon embraces generative AI and AI-powered software agents. He told staffers in a memo that it will be “hard to know exactly where this nets out over time” but that the corporate workforce will shrink as Amazon wrings more efficiencies out of the technology.
It’s a message that’s making its way across the tech sector. Salesforce CEO Marc Benioff last week claimed AI is doing 30% to 50% of the work at his software vendor. Other companies such as Shopify and Microsoft have urged employees to adopt the technology in their daily work. The CEO of Klarna said in May that the online lender has managed to shrink its headcount by about 40%, in part due to investments in AI and natural attrition in its workforce.
Jassy said on Monday that AI will free employees from “rote work” and “make all our jobs more interesting,” while enabling staffers to invent better services more quickly than before.
Amazon and other tech companies have also been shrinking their workforces through rolling layoffs over the past several years. Amazon has cut more than 27,000 jobs since the start of 2022, and it’s announced smaller, more targeted layoffs in its retail and devices units in recent months.
Amazon shares are flat so far this year, underperforming the Nasdaq, which has gained 5.5%. The stock is about 10% below its record reached in February, while fellow megacaps Meta, Microsoft and Nvidia are all trading at or very near record highs.
WATCH: Jassy says robots that will eventually do delivery and transportation
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