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.
Adobe CEO Shantanu Narayen speaks during an interview with CNBC on the floor at the New York Stock Exchange on Feb. 20, 2024.
Brendan Mcdermid | Reuters
Adobe shares surged 15% on Friday, the biggest gain since March 2020, after the software maker reported earnings and revenue that beat analysts’ estimates.
After the bell on Thursday, Adobe reported adjusted earnings per share of $4.48, topping the LSEG consensus estimate of $4.39 per share. Revenue increased 10% from a year earlier to $5.31 billion, exceeding analysts’ estimates of $5.29 billion.
CEO Shantanu Narayen attributed Adobe’s record revenue to its strong growth across Creative Cloud, Document Cloud and Experience Cloud and its advancements in artificial intelligence.
“Our highly differentiated approach to AI and innovative product delivery are attracting an expanding universe of customers and providing more value to existing users,” Narayen said in a press release on Thursday.
New annualized recurring revenue for the Digital Media business, which includes Creative Cloud subscriptions, came in at $487 million, beating the StreetAccount consensus of $437.4 million.
Adobe’s results provide a contrast to what software investors have seen from many industry peers of late. Salesforce shares suffered their worst plunge since 2004 late last month after the cloud software vendor posted weaker-than-expected revenue and issued disappointing guidance. That same week, MongoDB, SentinelOne, UiPath and Veeva all pulled down their full-year revenue forecasts.
However, there were positive signs in the sector this week. Oracle shares rallied after the database company announced cloud deals with Google and OpenAI, even as fourth-quarter results fell short of Wall Street expectations. CrowdStrike jumped on Monday following the announcement after the close last Friday that the cybersecurity company would be added to the S&P 500.
JMP analysts, who have the equivalent of a hold rating on Adobe, wrote in a note after the earnings report that the company’s results were uplifting despite a challenging economic environment and increased competition in design software.
“We like how Adobe is integrating AI functionality across its product portfolio,” the analysts wrote.
Meanwhile, analysts from Piper Sandler raised their revenue estimates slightly by $73 million for fiscal 2024 and by $71 million for 2025.
“Customer reactions to recent innovations were encouraging, as increasing availability of AI-powered solutions are expected to drive further user acquisition” and better average revenue per user, wrote the Piper Sandler analysts, who recommend buying the stock.
Even after Friday’s rally, Adobe shares remain down 12% for the year. The stock closed at $525.31.
Tempus AI, a health-care diagnostics company that uses AI to interpret medical tests to help physicians provide more accurate treatment for their patients, rose by as much as 15% in its Nasdaq Stock Market trading debut on Friday, after going public under the ticker symbol “TEM.”
Tempus AI priced 11.1 million shares at $37 apiece on Thursday, at the top of its initial $35 to $37 target range. The company raised $410 million at an implied valuation of just over $6 billion. Its early gains, if they hold, would place the company at a valuation of roughly $7 billion.
Tempus believes that AI can help guide therapy selection and treatment decisions, in conjunction with the patient’s doctor. It generated total revenue of $531.8 million in 2023 and a net loss of $214.1 million.
“We’re on a really good trajectory,” Tempus AI CEO Eric Lefkofsky said on CNBC’s “Squawk Box” Friday morning before shares started trading. “As revenues have been growing quickly, we’re not investing all that gross profit dollar growth back into the business. We’re generating improved leverage every quarter,” he said, adding that he expects the company to be both cash flow and EBITDA positive within the next year.
Tempus AI is applying some of the most heavily-funded technology concepts — artificial intelligence and data analysis — to building a better, more informed medical profession. The lack of diagnostic testing early in the Covid-19 outbreak was an example of how a system as mature as our health-care infrastructure can still be unprepared for the future.
The Chicago-based company said in its IPO filing, “we endeavor to unlock the true power of precision medicine by creating Intelligent Diagnostics through the practical application of artificial intelligence, or AI, in healthcare. Intelligent Diagnostics use AI, including generative AI, to make laboratory tests more accurate, tailored, and personal. We make tests intelligent by connecting laboratory results to a patient’s own clinical data, thereby personalizing the results.”
The two-time CNBC Disruptor 50 company’s at-home testing kit was quickly rolled out during the pandemic, but the problem Tempus is attacking is not Covid-specific. The Tempus idea came to Lefkofsky, also known for co-founding Groupon, during frustration with the health-care system after his wife received a breast cancer diagnosis. Oncology is a primary focus and the company’s genomic tests are designed to understand tumors at the molecular level and tailor treatment to individuals.
Morgan Stanley, J.P. Morgan and Allen & Company were the lead underwriters for Tempus AI’s offering.
Investors include Google, Baillie Gifford, Franklin Templeton, NEA and T. Rowe Price, according to PitchBook data.
— CNBC’s Bob Pisani contributed to this reporting.
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