- WORLD EDITIONAustraliaNorth AmericaWorld
Investing News NetworkYour trusted source for investing success
- Lithium Outlook
- Oil and Gas Outlook
- Gold Outlook Report
- Uranium Outlook
- Rare Earths Outlook
- All Outlook Reports
- Top Generative AI Stocks
- Top EV Stocks
- Biggest AI Companies
- Biggest Blockchain Stocks
- Biggest Cryptocurrency-mining Stocks
- Biggest Cybersecurity Companies
- Biggest Robotics Companies
- Biggest Social Media Companies
- Biggest Technology ETFs
- Artificial Intellgience ETFs
- Robotics ETFs
- Canadian Cryptocurrency ETFs
- Artificial Intelligence Outlook
- EV Outlook
- Cleantech Outlook
- Crypto Outlook
- Tech Outlook
- All Market Outlook Reports
- Cannabis Weekly Round-Up
- Top Alzheimer's Treatment Stocks
- Top Biotech Stocks
- Top Plant-based Food Stocks
- Biggest Cannabis Stocks
- Biggest Pharma Stocks
- Longevity Stocks to Watch
- Psychedelics Stocks to Watch
- Top Cobalt Stocks
- Small Biotech ETFs to Watch
- Top Life Science ETFs
- Biggest Pharmaceutical ETFs
- Life Science Outlook
- Biotech Outlook
- Cannabis Outlook
- Pharma Outlook
- Psychedelics Outlook
- All Market Outlook Reports
ARway signs five deals for software development kit
ARWAY CORP. SIGNS MULTIPLE NEW SDK DEALS FOR INDOOR POSITIONING (IPIN) & AUGMENTED REALITY NAVIGATION
ARway Corp. has signed five new deals for its software development kit (SDK), which showcases the increasing demand for this disruptive technology. Since its SDK was released on Jan. 31, 2023, the company has been experiencing a wave of demand from resellers, enterprise corporations and brands, which is expected to drive significant revenue in 2023.
According to research from Technavio, the $44-billion global indoor positioning and indoor navigation (IPIN) market will grow by $23.03-billion (U.S.) from 2020 to 2025, and the growth momentum of the market will accelerate at a CAGR (compound annual growth rate) of 33.21 per cent during the forecast period. The market growth will be led by North America, as this region will account for 40 per cent of the market's growth during the forecast period.
New deals:
- MPSKIN -- SDK partner: Using the ARway platform for existing map management of virtual tours, and implementing new augmented reality tours on site at museums and art galleries;
- The TRIBE -- SDK partner: Using ARway to build a custom AR (augmented reality)-powered app for its marketing agency to showcase capabilities to clients;
- Suggesto -- SDK partner: Using ARway for a new experiential location-based game for its local customers in Italy;
- ENCORE EAS: Entertainment technology provider based in MENA (the Middle East and North Africa). Using ARway in airports for wayfinding and guided tours;
- Rayqube -- SDK partner: Agency based in Dubai building an experiential AR app for some of its select client locations to drive social engagement/sharing.
These SDK deals range in size from $600 to $10,000 based on the usage of the platform, and are within various industries, representing a wide range of use cases for ARway technology. The company is especially seeing significant and accelerating deals from augmented reality agencies. These creative agencies already work with dozens or even hundreds of customers and brands that want and need Arway's wayfinding technology. By subscribing to the ARway platform the agency can demonstrate the ARway capabilities to its clients and act as a reseller for ARway's solution.
ARway's SDK contains code libraries and API (application programming interface) information that allows developers to build their own white-label and private-label mobile apps on both iOs and Android, leveraging ARway's technology and creator tools to build AR wayfinding and spatial experiences. Creators and agencies will be able to develop white-label and private-label apps and access ARway APIs to author maps using the web creator portal.
About ARway Corp.
ARway is an AI (artificial intelligence)-powered augmented reality navigation platform for the real-world metaverse. It enables AR-enhanced indoor navigation and wayfinding solutions for large, multipurpose venues enabled by marker-based tracking using QR (quick response) codes. Visitors can access a venue map by scanning a QR code with their smart phone upon entering the venue to navigate to any point of interest (POI) with step-by-step directions, learn information about those POIs, and interact with rich AR content and experiences along the way.
The ARway offering has an unlimited number of use cases for augmenting physical spaces in the metaverse, consisting of indoor navigation with AR activations to improve the visitor experience in large and complex spaces. With value propositions spanning multiple industries and use cases, ARway leverages Nextech's 3-D/AR technology solutions to new substantial markets, for use by creators, brands and companies.
We seek Safe Harbor.
Meta, Microsoft Shares Down Despite Beating Expectations in Latest Results
Meta (NASDAQ:META) and Microsoft (NASDAQ:MSFT) both released their latest quarterly results on Wednesday (October 30), recording share price drops despite year-on-year revenue improvements.
Meta reported revenue of US$40.59 billion, surpassing analysts’ forecasts of US$40.3 billion. The social media giant’s net income for the quarter reached US$15.69 billion, with diluted earnings per share standing at US$6.03.
Microsoft, meanwhile, generated US$65.6 billion in quarterly revenue, beating projections of US$64.51 billion and marking a 16 percent increase compared to the same period last year.
Both companies said AI remains central to growth, especially as they expand their tech infrastructure.
Meta founder and CEO Mark Zuckerberg attributed the company's performance to ongoing AI advancements across its suite of platforms, including Facebook, Instagram and WhatsApp.
“We also have strong momentum with Meta AI, Llama adoption, and AI-powered glasses," he added.
However, Meta’s AI expansion comes with rising costs, and the company said it is projecting "significant capital expenditures growth" in 2025. These expenses will involve heightened depreciation and operational costs related to Meta’s expanded data centers and computational systems supporting its AI capabilities.
Microsoft’s performance this quarter was similarly buoyed by its AI-driven services, particularly within its cloud division. The company reported that revenue from its Azure platform and other cloud services saw a 33 percent year-on-year increase, with about one-third of that growth attributed to demand for AI solutions.
As more companies adopt cloud-based AI applications, Microsoft’s cloud infrastructure has enabled clients to access powerful computational resources without direct investment in their own systems.
This has proved appealing to smaller businesses and large enterprises alike, according to CEO Satya Nadella, who also highlighted the role of AI in strengthening Microsoft’s competitive position in the tech landscape. “I feel pretty good that going into the second half of even this fiscal year that some of that supply-demand will match up,” he further noted.
Microsoft’s quarterly performance follows a similar boost reported by Alphabet’s (NASDAQ:GOOGL) Google, which experienced a 15 percent year-on-year increase in cloud revenues in its latest quarter.
The earnings from Meta, Microsoft and Google underscore the rising significance of cloud and AI technology in big tech’s financial growth, where AI is increasingly viewed as a foundational component of operations. Analysts have suggested that AI, previously seen as speculative, has now transitioned into a key driver of returns for tech investors.
A recent outlook by Goldman Sachs (NYSE:GS) notes that AI-centric companies, particularly those focused on cloud integration, are expected to remain profitable as enterprises rely on external providers for access to scalable AI tools.
Don't forget to follow us @INN_Technology for real-time updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
September 2024 Quarterly Activities Report and Appendix 4C
Advancing global neurodiagnostics with strategic partnerships and regulatory milestones on a pathway to commercialisation
BlinkLab Limited (ASX:BB1) (“BlinkLab” or the “Company”) an innovative digital healthcare company leveraging smartphones, computer vision, Al and machine learning to diagnose neurodevelopmental conditions, is pleased to release its Appendix 4C and Quarterly Activity Report for the period ended 30 September 2024. During the quarter the Company made significant progress towards the launch of its upcoming FDA registration study, which is on-track to commence before the calendar year end.
Highlights
- FDA registration study on track to commence this calendar year.
- Strategic partnerships signed with leading outpatient mental healthcare providers in Europe, for Autism and ADM/
- Several clinical studies in Autism, ADI-D), Frontotemporal Dementia, Functional Neurological Disorders, Spinocerebellar Ataxia, with top European and US institutions are ongoing and results are expected next calendar year.
- Commenced regulatory work towards obtaining ISO/CE mark certifications in Europe to support future commercial launch.
- As at 30 September 2024, the Company had a cash balance of A$5.4 million following the $7 million IPO in April.
Strong progress towards initiation of FDA clinical study later this year for "BlinkLab Dx 1" We are pleased to report that, after a competitive selection process, BlinkLab are in the final stages of appointing a world-recognised Clinical Research Organisation ("CRO"), with a track record of obtaining regulatory approvals for digital healthcare and medical devices, to coordinate our upcoming FDA registration trial.
Throughout the quarter, the Company continued work on finalising the study protocol, engaging with FDA as well as reaching out and interacting with future US based clinical sites that will be conducting the registrational studies. Before the end of CY 2024, we expect to announce the outcomes of this work. We are excited about the progress that our regulatory and development team is making to start the FDA study that we believe will be the largest smartphone based clinical study in the world, in the field of autism diagnostics.
Strategic Partnerships with large European Mental Healthcare Providers
During the past quarter, we announced two major clinical and future commercialisation partnerships with large European mental healthcare providers. Together with Mental Care Group and INTER-PSY, BlinkLab has launched companion clinical studies in ADHD and autism, evaluating whether the Company's technology can enhance diagnostic accuracy and efficiency in clinical settings, with a future commitment to commercialise our products with these partners in Europe upon successful outcomes. With a national network of over 200 clinical centres serving over 100,000 patients annually, these partnerships are a huge endorsement of the BlinkLab smartphone-based tests and the potential to grow successfully outside the US.
Ongoing Work Towards Obtaining European Certifications of BlinkLab Product
As the Company continues to support the activities for the launch of FDA registrational study, the BlinkLab team has also initiated work towards obtaining applicable regulatory clearances to be able to launch the product outside the US.
Under the EU Medical Device Regulation (MDR) 2017/745, the BlinkLab diagnostic platform is classified as a class Ila medical device and will require CE marking of conformity before the device can be launched on the market. The conformity work will include implementation of quality management systems (IS013485 certification), usability engineering, labelling, adherence to general data protection regulation (GDPR), developing appropriate post-market surveillance plan and other activities. This work commenced during the prior quarter, and the Company will be providing ongoing updates as it moves forward towards EU certification and future launch in markets outside the US.
Ongoing Clinical Studies in Other Indications with World Leading Research Organisations
Since listing on the Australian Securities Exchange in April this year, BlinkLab has announced multiple clinical research collaborations with several world-renowned research institutions to conduct studies in mental and developmental conditions outside of autism and ADHD.
The data collected from these studies is fundamental to the Company's diagnostic platform and machine learning models, as distinguishing autism and ADHD from other psychiatric disorders in the real world is difficult due to their multidimensional phenotypes and significant overlap of symptoms and characteristics.
At BlinkLab we are trying to fundamentally change the diagnostic approach by collecting digital phenotype data from the broadest possible range of neurodevelopmental and neurodegenerative conditions. By training the model on large data sets from various diseases, we significantly improve future predictive performance of the BlinkLab application in real-world scenarios.
Click here for the full ASX Release
This article includes content from Blinklab Limited, licensed for the purpose of publishing on Investing News Australia. This article does not constitute financial product advice. It is your responsibility to perform proper due diligence before acting upon any information provided here. Please refer to our full disclaimer here.
Tech 5: Tech Earnings Season Kicks Off as Tesla and IBM Report Results
Tech investors navigated a complex landscape marked by political uncertainty and mixed economic signals.
The Bank of Canada cut interest rates by 50 basis points on Wednesday (October 23), and the US Leading Economic Index declined, signaling potential economic slowing. Meanwhile, the US Federal Reserve's Beige Book showed that economic activity was little changed since the last report, with some areas seeing modest growth and others slowing.
Yields for 10 year Treasuries initially rose, leading to a decline in crypto prices and hurting tech stocks, but Tesla's (NASDAQ:TSLA) strong earnings and declining yields later in the week boosted the sector.
Market watchers are now looking ahead to quarterly earnings reports from major tech companies. Stay informed on the latest developments in the tech world with the Investing News Network's round-up below.
1. Bitcoin starts strong, but ends down
The CoinDesk 20 Index (INDEXNYSEGIS:CDI20) started the week up 1.17 percent in 24 hours, with Bitcoin priced at nearly US$70,000 as trading commenced in Asia. The surge corresponded with an increase in open interest for Bitcoin futures, which hit a new record high of US$40.43 billion on Monday (October 21).
Augustine Fan, head of insights at the DeFi infrastructure firm SOFA, told CoinDesk in a Telegram note that day that the current pattern points to growing bullish sentiment in the market.
Meanwhile, the estimated leverage ratio — an open interest-based ratio tracked by CryptoQuant — was showing increased leverage, indicating that traders were starting the week with an appetite for risk.
Bitcoin performance, October 19 to 25, 2024.
Chart via CoinGecko.
However, the upward trend had reversed by Tuesday (October 22), with the weekend's gains disappearing.
As mentioned, rising Treasury yields drove crypto prices down, erasing 2 percent from the sector's total market cap. According to data tracked by CoinGlass, over US$165 million in long positions were liquidated.
Bitcoin exchange-traded funds also recorded their first net outflows in two weeks.
Bitcoin’s price continued to tumble on Wednesday, dropping to US$66,444 following the release of the Fed’s Beige Book data, which shows slow growth in the employment sector and slightly high prices for necessities like food and housing. The data fueled lingering inflation concerns and supported the argument for a smaller rate cut in November.
2. Tesla leaps after quarterly results release
Elon Musk's Tesla showed off its strongest quarterly report in a year after Wednesday's close.
The company produced about 70,000 vehicles and delivered 463,000, exceeding Q2 figures. Its GAAP net income reached US$2.2 billion, surpassing the previous quarter's US$1.5 billion. While total revenue of US$25.18 million saw a slight decrease from Q2, automotive revenue showed year-on-year and quarterly growth, reaching US$20.12 million.
Operating cashflow increased substantially, reaching US$6.3 billion compared to Q2's US$3.6 billion. GAAP earnings per share for Q3 were US$0.62, significantly higher than last quarter and the previous year.
Tesla’s share price has experienced significant swings this year as the company has adjusted timelines for several of its key products, including Full Self-Driving, new vehicle models, its robotaxi program and its humanoid robot Optimus. The National Highway Traffic Safety Administration has also launched several probes into the company’s self-driving technology following a series of traffic accidents involving Teslas.
Tesla performance, October 21 to 25, 2024.
Chart via Google Finance.
Shares ended Wednesday at US$213.65 ahead of the report’s release, down 2.45 percent from the week's start.
However, Tesla jumped by 12 percent in after-hours trading, boosted by the significant difference in cashflow and Musk’s confident forecast of a rise in vehicle deliveries by year's end. The company also confirmed that its timeline for new, affordable models remains on track, with production set to begin in the first half of 2025.
The report sparked a rebound in tech stocks after troubling Beige Book data and a rise in 10 year Treasury yields. For its part, Tesla finished the week up more than 22 percent.
3. IBM's quarterly results fail to impress
Also on Wednesday, IBM (NYSE:IBM) released its Q3 earnings report.
Its performance was driven by a 9.7 percent year-on-year increase in software revenues, with a notable 14 percent contribution coming from Red Hat, a subsidiary acquired by IBM in 2019.
Overall, the tech giant's Q3 revenue saw a modest 1 percent increase year-on-year, reaching US$15 billion, slightly below projected estimates of US$15.07 billion. Adjusted earnings per share showed stronger year-on-year growth of 5 percent, reaching US$2.30. IBM also highlighted its generative artificial intelligence (AI) segment.
"Our generative AI book of business now stands at more than $3 billion, up more than $1 billion quarter to quarter," said Arvind Krishna, the company's chairman, president and CEO.
"Heading into the final quarter of 2024, we expect fourth-quarter constant currency revenue growth to be consistent with the third quarter, with continued strength in Software. We are confident in our ability to deliver more than US$12 billion in free cash flow for the year, driven by continued expansion of our operating margins," he added.
IBM performance, October 21 to 25, 2024.
Chart via Google Finance.
Shares of IBM fell 5.87 percent to US$219.05 at the opening bell on Thursday. The company finished the week 7.77 percent below its peak price of US$233.01, which came on Wednesday.
4. NVIDIA and TSMC resolve chip design issue
On Wednesday, NVIDIA (NASDAQ:NVDA) announced the resolution of a design problem that delayed the production of its newest Blackwell chips, which were revealed in March and expected to be released sometime in Q2.
CEO Jensen Huang said the flaw was “100 percent NVIDIA's fault” and credited its collaborative partner, Taiwan Semiconductor Manufacturing Corporation (TSMC) (NYSE:TSM), for its assistance resolving the issue.
"What TSMC did, was to help us recover from that yield difficulty and resume the manufacturing of Blackwell at an incredible pace," Huang told an audience in Denmark, where he was launching a new supercomputer built by NVIDIA in collaboration with the Novo Nordisk Foundation and Denmark’s Export and Investment Fund.
The market responded by sending the company’s share price up over 2 percent in the final hours of trading on Wednesday. Shares of NVIDIA are up 2.66 percent for the week, and the company even briefly dethroned Apple (NASDAQ:APPL) as the world’s most valuable company on Friday (October 25) afternoon.
Analysts at Morgan Stanley (NYSE:MS) have projected that NVIDIA could produce up to 450,000 Blackwell GPUs in the fourth quarter. TSMC is NVIDIA's primary chip manufacturer, and its advanced manufacturing technology is crucial when it comes to meeting demand from NVIDIA's long list of customers, which includes tech mega corporations Alphabet (NASDAQ:GOOGL), Meta (NASDAQ:META) and Amazon (NASDAQ:AMZN).
TSMC and NVIDIA performance, October 21 to 25, 2024.
Chart via Google Finance.
TSMC’s strong Q3 results, released last week, were largely driven by demand for its manufacturing process, which uses EUV lithography to fabricate chips with higher precision. During a recent presentation for the Potomac Institute for Policy Studies, Rick Cassidy, president of TSMC’s California-based US division, reportedly told listeners that chip yield at an Arizona plant has exceeded that of similar factories in Taiwan by 4 percent.
TSMC is in line to receive US$11.5 billion in US government grants and loans, and it qualifies for a 25 percent tax credit under the CHIPS Act, which will better position it to capitalize on the growing demand for advanced AI chips.
5. Apple exec teases announcement next week
Apple is preparing to drop major news next week, according to Greg Joswiak, the company’s senior vice president of worldwide marketing, who teased a “week of announcement” on X, formerly Twitter, on Thursday morning.
Although no details have been released, Bloomberg reported that the company will likely roll out a line of new AI Macbooks and a newly redesigned Mac mini powered by Apple’s newest M4 chip.
Also next week, Apple is set to update its iOS system with Apple Intelligence, the company's homegrown AI platform. The update will be available for: all Macs with Apple silicon M1 and M2 chips; iPad Pro and iPad Air models with M1 chips or later; and the iPhone 15 Pro, iPhone 15 Pro Max and newly released iPhone 16 series.
The market gave a muted response to the news, which came a day after tech stocks declined on the back of rising 10 year Treasury yields. Some of Apple’s product rollouts earlier this year failed to generate significant consumer enthusiasm, and Apple is lagging behind its competitors in on-device AI capabilities.
By the end of the trading week, Apple's share price had decreased by 1.38 percent, closing at US$231.41.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
12 Generative AI Stocks to Watch as ChatGPT Soars (Updated 2024)
The launch of OpenAI’s ChatGPT created a major buzz around artificial intelligence (AI) stocks.
ChatGPT is an AI chatbot software application that uses machine learning techniques to emulate human-written conversations. A hitherto niche subsector in the AI industry, this technology is called generative AI, and it's been making an impact on myriad industries, including marketing, security, healthcare, gaming, communication, customer service and software development.
While generative AI technology is in its early stages, Reid Menge, co-portfolio manager for the BlackRock Technology Opportunities Fund, sees immense potential.
“ChatGPT is nearly as smart as the human brain today,” he said, “and with the computational horsepower being used to train these AI models, imagine the capabilities of these generative AI services by 2025.”
According to Fortune Business Insights, the generative AI market is expected to grow at a compound annual growth rate of 39.6 percent between 2024 and 2032 to reach an impressive US$967.65 billion.
Although investors can’t directly take a position in privately owned OpenAI, several technology stocks offer exposure to the expected growth in generative AI technology.
Below, the Investing News Network showcases 12 generative AI stocks that stand to benefit the most from the rise in advancements and adoption of AI chatbot technologies and seven smaller generative AI companies that may be perfectly positioned to profit from their advancements.
All market cap and share price data were current as of October 23, 2024.
Biggest generative AI stocks to watch
These 12 tech giants offer investors exposure to generative AI by offering their own chatbots and generative AI products, developing the hardware and software necessary for AI and integrating AI into their product.
1. Apple (NASDAQ:AAPL)
Market cap: US$3.51 trillion
Current share price: US$230.76
Apple is increasingly incorporating AI into its products such as its virtual assistant Siri, and health and fitness tracking apps. The company's approach to AI — Apple Intelligence — emphasizes privacy by building devices that can perform AI tasks directly on the device using their A17 and A18 silicon chips.
Its newest iPhone 16, which launched in September 2024, comes with AI features like writing assistance and intelligent photo features built into the hardware of the device. The new iPad mini, which was released on October 23, was also designed to support Apple Intelligence.
2. NVIDIA (NASDAQ:NVDA)
Market cap: US$3.42 trillion
Current share price: US$139.56
Nvidia is a pioneer and global leader in graphics processing unit (GPU) technology. Nvidia designs specialized chips used to train AI and machine learning models. The company also offers supercomputing processing capabilities to scientific researchers around the world.
While its been well known in computer and gaming spaces for a long time, its focus on the AI sector has been driving its growth in recent years. Nvidia's market value has grown by 135 percent year-over-year and at one point the company even took the title of world’s most valuable company from rivals Microsoft and Apple.
Generative AI's explosive growth is driving the market for chips designed by companies like Nvidia and Marvell (NASDAQ:MRVL), another chip-making giant, and Micron (NASDAQ:MU), a company that makes memory chips, which are another important component to training generative AI systems.
3. Microsoft (NASDAQ:MSFT)
Market cap: US$3.16 trillion
Current share price: US$424.60
After having initially invested at least US$3 billion in OpenAI a few years ago, the technology behemoth Microsoft reportedly committed to investing up to another US$10 billion in the chatbot creator in the years ahead. The company also participated in OpenAI's latest funding round on October 2.
Microsoft built its own AI solutions, Bing AI and Copilot, based on OpenAI's technology. Bing is integrated into Windows 11's taskbar, allowing users to query the chatbot directly with Microsoft's Edge browser, Chrome and Safari. The company also recently partnered with Palantir to provide AI tools to US defense and intelligence agencies.
4. Alphabet (NASDAQ:GOOGL)
Market cap: US$2.01 trillion
Current share price: US$164.48
Alphabet, Google’s parent company, has played an important role in advancing generative AI technology. Its latest AI model, Gemini, is available in three sizes — Nano, Pro and Ultra — to meet various levels of user needs. According to the company, Gemini is "able to efficiently run on everything from data centers to mobile devices."
Alphabet is leveraging generative AI across its business segments. Its AI accelerator chip, TPU v5p, was developed for neural network machine learning and is designed to scale large clusters, reducing the time needed to train large language models. Alphabet's subsidiary, DeepMind, focuses on AI research and development. Its AI system, AlphaFold, won the Nobel Prize in Chemistry on October 9 for its ability to predict the structure of proteins based on a protein's unique amino acid sequence.
5. Amazon (NASDAQ:AMZN)
Market cap: US$1.94 trillion
Current share price: US$184.71
Amazon subsidiary and cloud-computing platform Amazon Web Services (AWS) evolved out of Amazon’s transition from an online retailer to one of the world’s largest technology companies. AWS’s wide range of services includes computing, storage, databases, networking, analytics, machine learning and AI.
AWS has many AI business tools on offer across four verticals: AI services, AI platforms, AI frameworks and AI infrastructure. Generative AI is nothing new to Amazon, as the technology forms the basis of conversational experiences with Amazon’s all-too-familiar Alexa.
Last year, AWS introduced Bedrock, a service that enhances software with generative AI capabilities such as turning text into images or creating text for blog posts, emails and documents. The company has since added more features to the service, including a custom model import feature that allows customers to bring their own models to the Bedrock platform.
6. Meta Platforms (NASDAQ:META)
Market cap: US$1.43 trillion
Current share price: US$563.69
Meta has expressed its commitment to continued research within the generative AI sphere with an open-source approach to its software developments. The giant behind Facebook, Instagram and WhatsApp is one of the most influential companies in tech, sharing ranks with the likes of Microsoft and Alphabet.
In April 2024, Meta introduced its Meta AI, which is built with Meta Llama 3. The AI is integrated into Meta's apps and also exists as a standalone website.
Meta's products use machine learning to streamline Facebook ad campaign generation and help businesses reach the right consumers. Its Q2 2024 quarterly report showed a 21.7 percent increase in ad revenue compared to last year.
Meta CEO Mark Zuckerberg has maintained that increased spending on AI infrastructure is necessary to maintain its competitive position. The company has been implementing cost-saving measures to offset these investments and balance the financial impacts of its AI initiatives.
7. Tesla (NASDAQ:TSLA)
Market cap: US$682.55 billion
Current share price: US$213.65
The automotive company that brought self-driving cars out of sci-fi and into reality is now on a mission to develop advanced, generative autonomous vehicles using the massive amounts of data collected from its cars. One of Tesla's goals is to develop a fully self-driving vehicle, but the company is also working on other AI initiatives like a bi-pedal autonomous Tesla Bot.
While the roll-out of Tesla’s self-driving technology has run into issues in the US, it was given the green light to begin testing the software in a pilot program in Shanghai on June 14. In July 2023, the company said it was spending "north of a billion dollars" from mid-2023 until the end of 2024 on Dojo, a supercomputer that collects the data and uses it to train generative AI models that Tesla vehicles use to operate.
Tesla CEO Elon Musk created a separate AI company called xAI, formed with the intent of using generative AI to "understand the meaning of the universe." It is currently working on a large language model called Grok that can "answer almost anything" and even prompt users to ask specific questions. Musk suggested Tesla could invest in xAI and use Grok, but this would need to be approved by Tesla's board and could be a conflict of interest.
8. Oracle (NYSE:ORCL)
Market cap: US$479.67 billion
Current share price: US$173.10
Oracle is a tech company that's been around since the 1970s. In the early 2000s, it began buying up other software companies, and today it is one of the leading providers of cloud-based database management software. Its Oracle Cloud Infrastructure (OCI) Generative AI service was released on January 23.
The software uses Cohere’s platform to allow businesses to incorporate large language models into software they're already using. Oracle has been involved in a long-term partnership agreement with Nvidia to provide generative AI solutions to complex issues. At the Oracle CloudWorld conference on September 11, Oracle announced the first supercomputer to reach "zettascale" performance, capable of 1 billion trillion calculations per second. The buildout will use as many as 131,072 Nvidia Blackwell GPUs.
9. SAP (NYSE:SAP)
Market cap: US$271.27 billion
Current share price: US$234.59
SAP is a software company out of Walldorf, Germany, with a line of generative AI products that aid companies in resource planning. In September 2023, the company released Joule, a natural language generative AI assistant designed to streamline tasks and improve workflow. Joule is available in SAP’s complete cloud portfolio and can be seamlessly integrated into the company's entire line of business AI offerings.
To further research how cloud technology can support AI applications, SAP has been collaborating with UC Berkley's Sky Computing Lab. The company was also recently recognized as one of the world’s most sustainable companies in 2024 by TIME Magazine and data firm Statista.
On September 12, SAP acquired WalkMe, a software company that provides a digital adoption platform that provides step-by-step instructions for an application.
10. Cisco Systems (NASDAQ:CSCO)
Market cap: US$224.33 billion
Current share price: US$56.28
Multinational digital communications firm Cisco Systems is a leader in IT and communications networks. The company has a large portfolio of multi-cloud products and applications, alongside strong relationships with Azure, AWS, Nvidia and Google Cloud.
Cisco’s AI and machine learning offerings encompass a wide range of computing solutions for enterprises, including a focus on cybersecurity. Cisco has also brought to market new generative AI tools for IT professionals, including its own AI Assistant.
11. Adobe (NASDAQ:ADBE)
Market cap: US$213.51 billion
Current share price: US$485.03
Adobe has a suite of design software that makes up its Creative Cloud platform and began rolling out AI-powered software with machine-learning capabilities in 2022. In March 2023, the company launched its generative AI iteration, Adobe Sensei GenAI, which features a list of services designed to improve marketing and content creation workflows. The AI tool is now part of its Adobe Experience Cloud.
In March 2024, Adobe and Microsoft joined forces to merge Adobe’s Experience Manager Sites capabilities with Microsoft Copilot, enabling users to harness the power of Adobe Firefly generative AI directly within Microsoft Word. In June, Adobe and TikTok signed an agreement to add TikTok's music to Adobe Express and give TikTok users access to Adobe's Symphony Assistant which uses AI to aid the creative process.
12. IBM (NYSE:IBM)
Market cap: US$214.4 billion
Current share price: US$232.75
IBM reportedly has one of the world’s largest AI research programs. The multinational tech company offers various AI solutions for cloud computing, IT operations, customer service, business automation, natural language processing and more. The MIT-IBM Watson AI Lab, a collaborative effort between the two establishments, works to advance research in healthcare, security and finance.
On September 4, the company sold its IBM QRadar SaaS assets to cybersecurity firm Palo Alto Networks (NASDAQ:PANW). IBM has also been working with the Defense Advanced Research Projects Agency to build tools capable of defending AI models from cyberattacks.
Other generative AI stocks to watch
The following companies have not yet reached the market capitalization of our top 12, but are each worth billions of dollars and have made some amazing achievements in generative AI technology in their own right, making them interesting prospects for investors.
In alphabetical order, they are:
- C3.ai (NYSE:AI), a company providing software as a service product to the financial and oil and gas industries. Its partnership with Alphabet allows C3.ai generative AI applications to be available on Google Cloud.
- CrowdStrike (NASDAQ:CRWD), a cybersecurity provider that monitors and analyzes Internet activity, detecting threats and blocking attacks with its generative AI-powered security analyzing software, Charlotte AI. This service is available to every Falcon user and provides real-time feedback on a company’s risk landscape.
- DynaTrace (NYSE:DT), a data-analysis company that provides real-time feedback on IT infrastructure for various companies using its generative AI assistant, Davis.
- Juniper Networks (NYSE:JNPR), a company that develops and markets routers, switches, network management software, network security products and software-defined networking technology. In 2021, the company introduced AI services to its networking technology and on January 29 the company unveiled the industry's first AI-Native Networking Platform.
- MicroStrategy (NASDAQ:MSTR), a data warehouse that uses generative AI to provide companies with analytical reports to help them make more informed and lucrative decisions.
- Palantir (NYSE:PLTR), a data-mining platform for government agencies. The company has been working with the US Department of Defense to research and develop generative AI and machine learning technology for national defense.
- UiPath (NYSE:PATH), a software company with roots in Romania and headquarters in New York. UiPath designs robotic process automation software to reduce or eliminate boring or repetitive tasks like data extraction and file management, saving companies in a wide range of industries hundreds of hours thanks to its AI and generative AI software.
FAQs for generative AI
What is generative AI?
Generative AI is an emerging AI technology based on deep learning models and algorithms that can generate text, images or sounds in response to prompts given by users.
What are generative AI examples?
Some of the most notable examples of generative AI are ChatGPT, DALL-E 2, Midjourney, Stable Diffusion, Gemini and Copilot.
OpenAI's DALL-E 2 is an AI system that can create realistic images and art from a description in natural language. Similar to DALL-E 2, Midjourney generates images from prompts. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. Microsoft's Copilot is a feature of the Bing search engine that leverages the same technology as ChatGPT.
What are the hottest generative AI startups?
According to technology and business magazine e-Week, in addition to ChatGPT creator OpenAI, some of the other leading generative AI startups include Hugging Face, Synthesis AI, Jasper and Cohere.
This is an updated version of an article first published by the Investing News Network in 2023.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
AI Market Update: Q3 2024 in Review
The third quarter proved to be a turbulent period for the artificial intelligence (AI) sector.
It was marked by shifting investment strategies, heightened sensitivity to macroeconomic trends and significant funding injections as the US government aimed to bolster domestic chip production.
With hardware companies generally outperforming their cloud-focused counterparts, concerns are growing about over-concentration and the long-term profitability of AI investments.
Here the Investing News Network explores the developments that influenced the AI landscape in Q3.
Mixed performance from AI stocks in Q3
Amid a wave of quarterly reports from the tech sector, AI stocks experienced volatility, with investors reacting to both promising advancements and lingering uncertainties about the rapidly evolving industry.
This volatility was particularly pronounced in the case of NVIDIA (NASDAQ:NVDA), a bellwether for the entire AI sector. As a dominant player in the AI chip market, NVIDIA's share price movements reverberated throughout the tech landscape. The company’s Q2 earnings report on August 28 led to a drop in its share price as investors became worried by signs of slowing growth; its quarterly revenue growth was 15 percent, compared to 18 percent in Q1.
After the release of NVIDIA's report, Microsoft (NASDAQ:MSFT), Qualcomm (NASDAQ:QCOM) and Dell Technologies (NYSE:DELL) saw their share prices fall as well. NVIDIA shares were on the decline again on September 3 after reports surfaced that the US Department of Justice had sent subpoenas to the company and other firms — the government agency was looking for evidence that NVIDIA violated antitrust laws.
While stock market concentration can result in slower economic growth, Nicholas Mersch, associate portfolio manager at Purpose Investments, wrote in July that the attention toward semiconductor companies is justified.
“Value should be ascribed to those companies that are the most productive in the marketplace,” he said.
Quarterly earnings from chip companies like electronics manufacturer Foxconn Technology (TPE:2354), semiconductor manufacturer Micron Technology (NASDAQ:MU), and chip designers Advanced Micro Devices (NASDAQ:AMD) and NVIDIA beat analysts’ revenue expectations for the third quarter.
Demand for AI chips was cited as the main driver of growth, as was the case when Samsung Electronics (KRX:005930) reported its fastest sales and profit growth since 2021 for the June quarter.
However, results from companies like Arm Holdings (NASDAQ:ARM) and Qualcomm were less inspiring. While these companies reported impressive revenue growth, their earnings outlooks didn’t meet expectations and paled in comparison to giants like NVIDIA, which is forecasting revenue above US$30 billion for Q3.
This disparity in investor sentiment likely stems from several factors. For example, Arm Holdings, despite its crucial role in mobile chip architecture, hasn't capitalized on the AI boom the way companies like NVIDIA and Broadcom (NASDAQ:AVGO), with large and diverse customer bases, have been able to. Meanwhile, Qualcomm's growth prospects have been hindered by a slowdown in the smartphone market, where it faces significant challenges.
The contrast between chip stocks and cloud providers was also evident in the market’s reaction to quarterly reports from Alphabet (NASDAQ:GOOGL) and Microsoft. Alphabet surpassed estimates in Q2, but received a muted response from investors, while Microsoft’s share price dipped by 3 percent due to concerns about declining cloud growth.
AI powerhouses lay out future plans
As AI continues to gain traction, partnerships are emerging as a way for companies to keep moving.
Heading into Q3, NVIDIA CEO Jensen Huang laid out the company's strategy to maintain its dominant position, saying it will focus on expanding partnerships with computer makers and cloud providers.
The importance of strategic partnerships has been further underscored by the success of other industry giants. Microsoft’s success in the AI boom — and certainly its performance in Q3 — can be partially attributed to its business relationships, particularly its early partnership with OpenAI.
Likewise, IBM’s (NYSE:IBM) strategic cultivation of affiliations and software offerings, evidenced by its growing AI book of business, fueled a 4.3 percent increase in its share price in July and a 2.2 percent increase in September.
Apple, which is known for its closed ecosystem, has pursued fewer partnerships than its peers, potentially limiting its future growth in the AI sector. However, the company's recent partnership with OpenAI, geared at integrating ChatGPT into the newest iPhone, hints at a potential shift in its strategy.
While collaborations and other work fueled success for many AI players in Q3, Intel (NASDAQ:INTC) faced significant headwinds, despite its history as a leader in the tech industry. The company lowered its Q3 revenue forecast and announced a 15 percent labor cut alongside suspended dividend payments to fund its chip-making efforts.
Investors sent its share price down 31.74 percent between August 1 and August 5 in response. Intel lost even more ground a month later, when its advanced silicon wafer manufacturing process, Intel 18A, failed chip-making tests conducted by Broadcom. As of mid-October, the company was down about 50 percent year-to-date.
Intel CEO Pat Gelsinger presented investors with a plan to improve the company’s financial situation in September, including plans to establish its Foundry business as an independent subsidiary and a new partnership with Amazon Web Services to produce AI fabric chips using Intel 18A. The company has also reportedly been approached with acquisition offers from Qualcomm and Apollo Global Management, although no deal has been confirmed.
Will AI be profitable in the long term?
As mentioned, while some AI companies thrived during the third quarter, concerns persist among investors about the sector's long-term profitability. A prime example of this dynamic emerged just one day after Taiwan Semiconductor Manufacturing Company (NYSE:TSM) posted its results for the second quarter on July 18.
A tech selloff ensued as investors, perhaps motivated by profit taking ahead of an anticipated interest rate cut, rotated out of mega-cap tech stocks and into small-caps and other sectors.
This selloff, while potentially driven by short-term strategies, demonstrated how sensitive the AI sector remains to external factors and broader market trends. “We're concerned about the plunges of the Nasdaq and chip stocks. It's not just a short-term thing, which we see could consolidate downwards for the next two to three months,” Allen Huang, vice president at Taipei's Mega International Investment Services, told Reuters at the time.
An August 5 rout that wiped out about US$1 trillion in market capitalization from tech’s mega-cap companies also underscored the AI sector’s sensitivity to macroeconomic events.
However, as Fortune's Geoff Colvin later pointed out, “most of the major names in the chip-manufacturing industry (not companies like NVIDIA that design chips but don’t make them) defied the panic and rose.”
This is not to say that chip stocks are immune from external market risks. The potential for product delays and supply shortages introduces another layer of complexity for investors assessing the long-term viability of AI.
Reports of potential design flaws in NVIDIA's Blackwell chip series surfaced in early August, raising concerns about the delays that could impact major companies like Google, Meta (NASDAQ:META) and Microsoft. All three of these companies have heavily invested in NVIDIA to help build out their AI infrastructure.
Tech companies are allocating a significant portion of their AI spending to data center construction. These buildouts, and indeed the sheer amount of energy AI consumes, have drawn criticism from environmental groups.
Even tech companies have been vocal about the need for an energy breakthrough to power the AI buildout, reigniting talks of using nuclear energy. To that end, in September Microsoft signed a 20 year power purchase agreement with Constellation Energy (NASDAQ:CEG) to revive Three Mile Island (TMI) Unit 1.
With that in mind, some analysts have suggested that overlooked utilites stocks might be a good alternative investment, offering a less volatile way for investors to gain exposure to the AI boom.
As Fortune's Leo Schwartz said in August, "AI is the new gold, but you can't mine it without energy. And that could offer an edge to retail investors eager to buy into the trend.”
Investor takeaway
Looking head to the fourth quarter, expectations for the AI sector remain high. In its mid-year outlook, BlackRock points to data center buildouts as one of five forces that will stimulate investment in Q4.
“We see two scenarios where equities can do well: one with a concentrated group of winners in AI, even with a tough macro backdrop, and another where AI-driven growth becomes more broad-based, leading to productivity gains and sharp rate cuts,” said the firm, before emphasizing the impact of macroeconomic factors.
“The two hard economic landing scenarios differ on whether central banks can come to the rescue with rate cuts," it continues. A fifth scenario involves subdued growth, sticky inflation and higher rates.
The persistent threat of inflation and recession has weighed on markets all year. Investors will be closely monitoring the US Federal Reserve’s signals on potential interest rate cuts as it gears up to meet in November.
Don’t forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
Hemlock Semiconductor Secures US$325 Million to Boost US Polysilicon Production
Hemlock Semiconductor (HSC) is set to enhance its operational capacity in Michigan, US, after the announcement of a preliminary agreement for a US$325 million grant from the Biden administration.
According to a Monday (October 21) press release, the funds will be allocated to HSC as part of the government's broader efforts to strengthen the US semiconductor supply chain under the CHIPS and Science Act .
The multimillion-dollar investment will support the building of a new manufacturing facility at HSC's existing site in Hemlock, Michigan, making it a critical player in the US semiconductor supply chain. The initiative is also poised to boost the state’s economy by creating close to 180 manufacturing jobs and 1,000 construction jobs over time.
The new facility will produce and purify hyper-pure polysilicon, which is key for semiconductor manufacturing.
“Polysilicon is the bedrock of semiconductors,” said US Secretary of Commerce Gina Raimondo.
Founded in 1961, HSC is currently the only US-based manufacturer of hyper-pure polysilicon.
The proposed investment marks the company’s first major expansion in over two decades, and is anticipated to significantly boost its production capabilities as demand for advanced semiconductor technologies increases.
“HSC is proud to be a manufacturing powerhouse for two vital industries of the future — semiconductor and solar,” said HSC Chairman and CEO AB Ghosh in the same announcement.
"Bolstered by the CHIPS Act, we are planning for a once-in-a-generation investment in advanced technologies to continue serving as a top polysilicon supplier to the leading-edge semiconductor market,” he added.
National Economic Advisor Lael Brainard also highlighted the significance of the HSC investment in reinforcing Michigan’s status as a leader in innovation and manufacturing. “Today’s announcement with HSC establishes a critical capability in the supply chain for semiconductors, solar, and AI here in America,” she commented.
The funding includes a commitment of US$5 million to support the development of the local workforce. HSC has established partnerships with educational institutions, including Delta College and the Saginaw Career Complex, to create training programs aimed at preparing workers for careers in semiconductor manufacturing.
HSC is dedicated to promoting sustainability as well, and has collaborated with state authorities to promote low-carbon initiatives geared at reducing emissions associated with polysilicon production.
Overall, the CHIPS and Science Act has earmarked over US$36 billion for semiconductor manufacturing across the country with the intention of generating approximately 125,000 jobs through various initiatives.
The proposed funding reflects the administration’s commitment to revitalizing the US semiconductor industry, which has seen extensive outsourcing over the past few decades.
Don't forget to follow us @INN_Technology for real-time updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
Latest News
Latest Press Releases
Related News
TOP STOCKS
Investing News Network websites or approved third-party tools use cookies. Please refer to the cookie policy for collected data, privacy and GDPR compliance. By continuing to browse the site, you agree to our use of cookies.