
November 14, 2024
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The securities of BlinkLab Limited (‘BB1’) will be placed in trading halt at the request of BB1, pending it releasing an announcement. Unless ASX decides otherwise, the securities will remain in trading halt until the earlier of the commencement of normal trading on Wednesday, 20 November 2024 or when the announcement is released to the market.
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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.
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The Conversation (0)
01 May
Successful Placement of A$7.66M to Underpin Growth Strategy
27 April
Quarterly Activities/Appendix 4C Cash Flow Report
31 March
BlinkLab Surpasses Key Milestone in Pivotal U.S. Trial
23 July
ASX AI Stocks: 5 Biggest Companies in 2025
Artificial intelligence (AI) continues to evolve and advance rapidly, becoming increasingly integrated in the automation of everyday life and a focal point of growth in the technology sector.
According to a September 2023 report from IDC on worldwide AI spending, Australia is leading the Asia-Pacific region in spending on AI solutions along with Korea and India; the three countries are also leading when it comes to AI adoption in the area. Spending in the region, excluding Japan and China, is expected to reach US$28.2 billion by 2027.
Although the AI market is relatively small in Australia, it’s growing. To help investors understand the options available, the Investing News Network used TradingView's stock screener to find the top AI stocks on ASX by market cap. All ASX AI stocks data was current as of July 11, 2025. Companies whose businesses are focused mainly on AI were considered.
1. NEXTDC (ASX:NXT)
Market cap: AU$8.7 billion
Share price: AU$13.60
NEXTDC is Australia’s leading data centre operator, with 17 functioning centres and at least 12 more in various stages of development throughout Oceania. The company has also forged several business and academic partnerships to enhance Australia's digital infrastructure, including a collaboration with La Trobe Business School’s Research Centre for Data Analytics and Cognition to research theoretical and practical applications of AI across a range of industries.
In August 2024, NEXTDC obtained NVIDIA's (NASDAQ:NVDA) DGX-Ready Data Centre Program certification, enabling it to optimize NVIDIA's AI platforms and power advanced AI data centres in Australia. The company's partnership with SharonAI provides GPU-as-a-Service solutions for high-density AI workloads at scale.
The company was also the recipient of the Pacific Telecommunications Council's Outstanding Data Centre Company award for 2025.
In March 2025, NEXTDC's Sydney location upgraded its AXON platform — a system that connects its clients to different cloud services and data centers — to offer super-fast 100 gigabits per second connections, which will help businesses use AI technology more effectively by providing high speeds and flexibility in bandwidth and connectivity.
2. Megaport (ASX:MP1)
Market cap: AU$2.07 billion
Share price: AU$12.90
Megaport is a software-defined network service provider that allows enterprise customers to connect between data centres. The company offers a marketplace where customers can find and connect with various service providers within the Megaport ecosystem. Headquartered in Queensland, Australia, the company operates in over 25 countries. Megaport expanded its reach in South America and Europe in 2024, launching services in Spain, Italy and Brazil.
The firm's customer base includes cloud service providers like Amazon's (NASDAQ:AMZN) Amazon Web Services and Microsoft's (NASDAQ:MSFT) Microsoft Azure. Megaport's service also allows customers to link their own equipment across different sites and connect to internet exchange points.
Its Megaport Virtual Edge allows the deployment of virtual network devices like routers and firewalls without needing physical hardware in a data centre.
3. NUIX (ASX:NXL)
Market cap: AU$691.23 million
Share price: AU$2.06
Nuix specializes in investigative analytics and intelligence software, with tools to help organizations analyze and understand copious amounts of data using AI. Nuix's Natural Language Processing capabilities allow it to read unstructured formats, including emails and social media posts. Its machine learning algorithms include advanced abilities like semantic search and risk scoring to identify patterns and connections within the data.
Nuix can handle extremely large data sets, and its software is designed to operate at a forensic level, ensuring that data is collected and analyzed in a way that is legally sound and defensible in court. This gives Nuix a significant market share within the law enforcement and legal communities. In January 2025, the company expanded its partnership with Macquarie Group, allowing the financial services giant access to its AI-enabled Nuix Neo platform for a broader range of internal use cases.
4. BrainChip (ASX:BRN)
Market cap: AU$410.83 million
Share price: AU$0.20
BrainChip is the company behind Akida, a revolutionary digital neuromorphic chip that’s built with a spiking neural network, a type of artificial network that mimics the way messages are passed between neurons in the human brain.
Because the AI is inside the chip, the chip can learn on its own and is not reliant on the cloud or other networks. According to the company, this makes it much more secure and reduces latency.
In June 2024, the company released a white paper for its newly developed technology, TENNs-PLEIADES, an efficient AI processor that can perform complex tasks like decision-making, object recognition and data analysis. BrainChip's lowest-power version of the chip, called Akida Pico, was released on October 1 of that year.
Unlike Akida, this chip is designed for spatiotemporal classification and detection using event-based data, making it particularly well-suited for low-latency applications such as self-driving cars.
BrainChip showcased its advancements in event-based vision at Embedded World 2025 and announced a partnership with Information System Laboratories focused on AI-based radar research solutions based on Akida. In June 2025, the company partnered with HaiLa Technologies to create battery-powered edge sensors for IoT, medical and smart infrastructure that can run for years on a single coin battery by combining their Akida processor and HaiLa's BSC2000 RFIC, which is WiFi compatible.
5. Weebit Nano (ASX:WBT)
Market cap: AU$362.64 million
Share price: AU$1.88
While Weebit Nano isn't directly developing AI applications or algorithms, its core technology, Resistive Random-Access Memory (ReRAM), is positioned to be a crucial enabler for the future of AI, particularly in the realm of edge AI and neuromorphic computing. ReRAM's low-power operation and potential for high-density make it a promising memory technology for building neuromorphic chips.
Weebit Nano's target markets are heavily driven by AI, such as autonomous vehicles, robotics and advanced Internet of Things devices. As of March 2025, the company is collaborating with companies like Embedded AI Systems to demonstrate the advantage of ReRAM in ultra-low-power applications.
FAQs for investing in AI
What is artificial intelligence?
AI is defined as human intelligence exhibited by machines. The development of graphics processing units with faster and more powerful chips has supported the emergence of AI technologies.
Where is AI used?
AI has been heralded as a technology of the fourth industrial revolution, with heavy investment from industries including transportation, manufacturing, education and agriculture. Some of the sectors that will likely see the fastest AI investment growth in the coming years are healthcare, pharmaceutical research, retail, industrial automation, finance and intelligent process automation.
How to invest in AI stocks?
Investors looking to capitalise on AI's growth potential have a number of entry points when it comes to stocks. It's key for each person to practise due diligence and speak to their broker to determine the most suitable investments.
The companies listed above have a strong focus on AI, but investing in companies that are using AI as part of a larger business model is one way to gain indirect exposure to the sector. Examples of stocks like this on the ASX include Block (ASX:SQ2), WiseTech Global (ASX:WTC), Seek (ASX:SEK) and Xero (ASX:XRO).
For a more diversified approach, the Betashares Global Robotics and Artificial Intelligence ETF (ASX:RBTZ) invests in companies involved in the development of AI applications all across the globe. Investing in an exchange-traded fund is a low-cost way to benefit from a sector without directly buying individual stocks.
This is an updated version of an article first published by the Investing News Network in 2020.
Don’t forget to follow us @INN_Australia for real-time updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
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23 July
White House Unveils 90 Point AI Strategy
The White House on Wednesday (July 23) released a sweeping national strategy for artificial intelligence (AI), outlining over 90 federal actions designed to strengthen America’s position as the global leader in AI development.
The document fulfills a mandate laid out in President Donald Trump’s January 23 executive order, which called for the removal of what the administration described as “barriers to American leadership” in the field.
Titled “Winning the AI Race: America’s AI Action Plan,” the plan sets priorities across three core pillars: accelerating innovation, building domestic infrastructure and leading on global AI diplomacy and security.
The White House said parts of the strategy will be enacted via executive orders in the coming weeks.
Trump and senior officials are set to promote the initiative at an event on Thursday (July 2) night that will be hosted by the Hill and Valley Forum, a group of influential tech donors and investors.
“President Trump has prioritized AI as a cornerstone of American innovation,” said Michael Kratsios, director of the White House Office of Science and Technology Policy.
“This plan galvanizes federal efforts to turbocharge our innovation capacity, build cutting-edge infrastructure, and lead globally, ensuring that American workers and families thrive in the AI era.”
The new initiative marks a clear departure from previous federal policy, explicitly revoking the Biden-era Executive Order 14110, “Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence,” which had emphasized caution, regulation and ethical oversight. In contrast, the Trump administration’s AI directive aims to remove what it describes as “onerous” federal restrictions and foster what it calls innovation free from “ideological bias.”
The goal, according to Trump administration officials, is to secure the global proliferation of US-made AI technologies and prevent the dominance of foreign alternatives. Domestically, the plan pledges to fast track the permitting process for building new data centers and semiconductor fabs, and to launch national workforce initiatives targeting technical trades essential to AI infrastructure, such as electricians and HVAC technicians.
David Sacks, White House special advisor for AI and crypto, framed the plan in strategic and geopolitical terms.
“Artificial intelligence is a revolutionary technology with the potential to transform the global economy and alter the balance of power in the world,” Sacks said, adding that in order to win the AI race, the US must center its innovation domestically and “avoid Orwellian uses of AI.”
In May, the Trump administration reached agreements with the United Arab Emirates to grant the country access to advanced AI chips — part of a broader US$200 billion cooperation deal announced alongside plans for a 5 gigawatt AI campus in the United Arab Emirates. .
As of now, the White House has not provided a timeline for the full rollout of the 90 outlined actions, but officials said implementation would begin “in the coming weeks.”
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
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23 July
Syntheia Announces Private Placement
Syntheia Corp. (CSE: SYAI)(CSE: SYAI) (syntheia.ai) (the "Company"), is pleased to announce that it intends to complete a non-brokered private placement financing for gross proceeds of up to $4,200,000 through the issuance of up to 35,000,000 units (each, a "Unit") at a price of $0.12 per Unit (the "Offering").
Each Unit will be comprised of one common share in the capital of the Company (each, a "Common Share") and one Common Share purchase warrant (each, a "Warrant"). Each Warrant is exercisable to acquire one Common Share at a price of $0.16 until the date that is five years from the closing of the Offering (the "Expiry Date"), subject to an accelerated expiry in the event the volume weighted average trading price of the Common Shares exceeds $0.20 for 20 consecutive trading days, the Company may, within 10 business days of the occurrence of such event, deliver a notice to the holders of the Warrants accelerating their Expiry Date to a date that is not less than 30 days following the date of such notice and the issuance of a press release by the Company announcing the acceleration notice (the "Accelerated Exercise Period"). Any unexercised Warrants shall automatically expire at the end of the Accelerated Exercise Period.
Gross proceeds raised from the Offering will be used for working capital and general corporate purposes as well as to satisfy part of the cash consideration payable to the vendor in connection with the acquisition of certain assets of Call Centre Guys Inc. as previously announced by the Company on July 4, 2025 (the "Transaction"). Closing of the Offering is subject to receipt of all necessary corporate and regulatory approvals, including the approval of Canadian Securities Exchange (the "CSE"). In connection with the Offering, the Company may pay 8% finders' fees in cash and/or 8% in Units or a combination of both, as permitted by the CSE. The securities issuable in connection with the Offering and the Transaction are subject to a hold period equal to the later of: (i) four months and one day from the date of closing of the Offering; and (ii) 10 Trading Days (as such term is defined in the policies of the CSE) from the date a Form 52-104F4 Business Acquisition Report, with audited financial statements of the business acquired pursuant to the terms of the Transaction, is filed in connection with the Transaction.
This press release does not constitute an offer to sell or a solicitation of an offer to buy the securities in the United States. The securities have not been and will not be registered under the United States Securities Act of 1933, as amended (the "U.S. Securities Act") or any state securities laws and may not be offered or sold within the United States or to U.S. Persons as defined under applicable United States securities laws unless registered under the U.S. Securities Act and applicable state securities laws or an exemption from such registration is available.
About Syntheia
Syntheia Corp. is an early-stage artificial intelligence technology company, channeling its efforts into refining and expanding its proprietary, conversational AI-based platform (the "Syntheia AI Platform"). The Syntheia AI Platform represents the integration of natural language processing ("NLP") technology, enabling it to not only understand but also respond to human language with accuracy. The Syntheia AI Platform, a generative, AI-powered algorithm equipped with a human-like voice, boasts self-learning capabilities derived from NLP methodologies.
Currently in beta testing, the Syntheia AI Platform is crafted to offer a suite of automated solutions, particularly for retail-focused businesses where customer interaction and service are key to operations. At the heart of the Syntheia AI Platform is its use of AI to emulate human cognitive processes, combined with a sophisticated large language model, which is integral for interpreting and generating human-like language responses.
For further information, please contact:
Tony Di Benedetto
Chief Executive Officer
Tel: (416) 791-9399
Cautionary Statement
Neither the Canadian Securities Exchange nor its Market Regulator (as that term is defined in the policies of the Canadian Securities Exchange) accepts responsibility for the adequacy or accuracy of this news release.
This news release contains certain "forward-looking information" within the meaning of applicable securities law. Forward-looking information is frequently characterized by words such as "plan", "expect", "project", "intend", "believe", "anticipate", "estimate", "may", "will", "would", "potential", "proposed" and other similar words, or statements that certain events or conditions "may" or "will" occur. These statements are only predictions. Forward-looking information is based on the opinions and estimates of management at the date the information is provided, and is subject to a variety of risks and uncertainties and other factors that could cause actual events or results to differ materially from those projected in the forward-looking information. The Company undertakes no obligation to update forward-looking information if circumstances or management's estimates or opinions should change, unless required by law. The reader is cautioned not to place undue reliance on forward-looking information.
The securities of the Company have not been and will not be registered under the United States Securities Act of 1933, as amended and may not be offered or sold in the United States absent registration or an applicable exemption from the registration requirement. This press release shall not constitute an offer to sell or the solicitation of an offer to buy nor shall there be any sale of the securities in any jurisdiction in which such offer, solicitation or sale would be unlawful.
Click here to connect with Syntheia Corp. (CSE: SYAI) to receive an Investor Presentation
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22 July
Tech Giants Escalate AI Spending in Race to Stay Competitive
The artificial intelligence (AI) arms race is entering a new phase as major industry players ramp up spending.
In the span of just a few weeks, the world’s biggest tech firms have unveiled a flurry of moves aimed at shoring up their positions, ranging from massive chip and data center deals to fresh funding rounds.
Oracle bets big on OpenAI's Stargate vision
OpenAI has expanded its partnership with Oracle (NYSE:ORCL) to deliver an additional 4.5 gigawatts of data center capacity in the US, pushing the total capacity of its Stargate AI infrastructure platform to over 5 gigawatts.
The development will run on more than 2 million chips and is poised to play a central role in OpenAI’s push to reindustrialize American tech infrastructure while delivering what it describes as the "benefits of AI to everyone."
The agreement with Oracle alone will also generate over 100,000 jobs in the US, spanning construction, operations, and manufacturing roles. Much of the current work is already underway at the Stargate I site in Abilene, Texas, where Oracle began delivering racks of NVIDIA's new GB200 chips last month.
“We now expect to exceed our initial commitment thanks to strong momentum with partners including Oracle and SoftBank,” OpenAI said in the statement. The original commitment, announced at the White House earlier this year, involved a pledge to invest US$500 billion into 10 gigawatts of AI infrastructure in the US over four years.
Google moves to repair media ties with AI licensing push
Alphabet's (NASDAQ:GOOGL) Google announced that it is in the early stages of negotiating licensing deals with roughly 20 national news outlets as part of a pilot program aimed at securing content for AI training and product integration.
“We’ve said that we’re exploring and experimenting with new types of partnerships and product experiences, but we aren’t sharing details about specific plans or conversations at this time,” a Google spokesperson said in a statement.
The company representative declined to confirm which media outlets had been approached.
The outreach follows growing pressure on major AI companies to compensate publishers whose content is increasingly used to train chatbots and generative search tools.
Tensions between Silicon Valley and news publishers have escalated over the past year. In December 2023, the New York Times filed a copyright lawsuit against OpenAI and Microsoft (NASDAQ:MSFT), alleging that their AI models were trained on millions of Times articles without permission.
At the same time, platforms like Google Search and its Gemini-powered “AI Overviews” have continued to draw content from publishers without offering direct compensation, prompting fears that generative AI could further erode traffic to original news sources.
Reka AI hits US$1 billion valuation in NVIDIA-led funding round
While OpenAI and Google scale infrastructure and broker content deals, venture capital continues to flow into AI startups aiming to disrupt the model development space.
On Tuesday (July 22), Reka AI — a lesser-known player developing efficient large language models — announced a US$110 million Series B round that vaulted its valuation above US$1 billion.
The round was backed by NVIDIA (NASDAQ:NVDA) and Snowflake (NYSE:SNOW), among others.
Founded in 2022 by former researchers from Google and Meta, Reka claims it can build powerful foundation models with greater efficiency than its larger peers. The startup has also expanded its product offerings to include enterprise tools for application logic and interface development. Snowflake, which previously held acquisition talks with Reka, now plans to integrate Reka’s models into its customer offerings.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
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18 July
Tech 5: TSMC, ASML Release Latest Results, NVIDIA to Resume Sales to China
Investors honed in on tech stocks as Q2 earnings season kicked off on Monday (July 14).
Some experts believe the rallying market is showing signs of frothiness.
Apollo Global Management (NYSE:APO) Chief Economist Torsten Sløk highlighted concerns about overvaluation mid-week, comparing the current tech craze to the dotcom bubble of the 1990s.
“The difference between the IT bubble in the 1990s and the AI bubble today is that the top 10 companies in the S&P 500 (INDEXSP:.INX) today are more overvalued than they were in the 1990s,” he wrote on Wednesday (July 16).
Moor Insights & Strategy founder Patrick Moorhead expressed similar thoughts last week.
However, Sanctuary Wealth's chief investment strategist, Mary Ann Bartels, told CNBC’s Power Lunch team that valuations are justified by the technology that’s being unleashed. Major financial firms like Citigroup (NYSE:C), Bank of America (NYSE:BAC) and Morgan Stanley (NYSE:MS) also said they are increasingly exploring digital asset offerings, signaling traditional finance's growing involvement in crypto and the broader adoption of innovative technologies.
These announcements came alongside positive earnings reports and mixed inflation data that helped lift markets to renewed highs, culminating in global manufacturer 3M (NYSE:MMM) raising its full-year profit forecast on Friday.
The company is projecting a smaller tariff-related hit to its 2025 earnings.
1. TSMC, ASML release latest quarterly results
This week saw semiconductor giants Taiwan Semiconductor Manufacturing Company (TSMC) (NYSE:TSM) and ASML Holding (NASDAQ:ASML) report their latest quarterly earnings.
The companies received vastly different reactions from the market. Contract chipmaker TSMC saw its valuation soar on Thursday (July 17) morning after it posted record profits that exceeded expectations and raised its full-year revenue forecast by 30 percent due to demand for artificial intelligence (AI) chips.
While the chipmaker addressed minor concerns about US tariffs and inventory, AI-driven growth dominated investor sentiment. Shares of TSMC opened 4.51 percent higher from Wednesday’s (July 16) closing price.
Positive sentiment spilled over into other chip stocks, with NVIDIA (NASDAQ:NVDA) and Broadcom (NASDAQ:AVGO) also seeing gains. TSMC maintained its position to close up 5.87 percent for the week.
TSMC and ASML performance, July 15 to 18, 2025.
Chart via Google Finance.
Conversely, ASML, a lithography systems monopolist, saw its share price plunge more than 8 percent ahead of Wednesday’s open, despite solid Q2 numbers, due to a cautious outlook for late 2025 and 2026.
In a statement, the company said it cannot confirm growth in 2026 due to current macroeconomic and geopolitical developments. ASML closed the week 7.39 percent below its Monday opening price.
The divergence highlights their supply chain positions: TSMC directly benefits from the immediate AI boom, while the prospects for ASML, a step removed, remain uncertain.
2. US announces major investments in Pennsylvania
US President Donald Trump joined Pennsylvania Senator Dave McCormick (R) at the inaugural Energy and Innovation Summit at Carnegie Mellon University in Pittsburgh on Tuesday (July 15).
He announced an investment amounting to over US$90 billion in AI and energy infrastructure in the state.
The sum outlined by Trump covers several multibillion-dollar spending plans from the likes of Google (NASDAQ:GOOGL), Blackstone (NYSE:BX), Anthropic, GE Verona (NYSE:GEV) and others for power generation and grid modernization. It also includes natural gas production to help power data centers.
Additionally, the preview mentions AI training programs and apprenticeships for businesses.
“These commitments will create tens of thousands of construction jobs and thousands of permanent jobs, signaling Pennsylvania’s readiness to power the AI and energy revolution, further strengthening America’s resilience and independence,” McCormick’s office wrote in a press release.
Separately, Google and Brookfield Asset Management (NYSE:BAM) announced on Tuesday that they have entered into a framework agreement to provide up to 3,000 MW megawatts of domestically produced hydropower from Brookfield's Holtwood and Safe Harbor hydroelectric facilities in Pennsylvania. The agreement allows for future expansion, with an initial focus on the mid-Atlantic and mid-continent electricity markets.
3. NVIDIA to resume chip sales to China
On Monday, NVIDIA CEO Jensen Huang said his company will resume H20 GPUs sales to China after productive meetings with government officials from the US and Beijing earlier this month.
In a press release, the company said it has been assured by the US government that licenses will be granted.
NVIDIA performance, July 15 to 18, 2025.
Chart via Google Finance.
Shares of the chipmaker opened 4.27 percent higher on Tuesday and closed the week up 4.25 percent.
4. Apple to invest in US rare earths miner
On Tuesday, Apple (NASDAQ:AAPL) said it will invest US$500 million in rare earths miner MP Materials (NYSE:MP) as part of an effort to strengthen the American rare earths supply chain.
MP is the only fully integrated rare earths miner operating in the US. Last week, the US Department of Defense said it would buy a direct equity stake in the company, becoming its largest shareholder.
The company's Apple collaboration includes plans to build out MP’s neodymium magnet manufacturing lines at its Texas factory specifically for Apple products. This expansion is slated to boost production and create jobs in advanced manufacturing and research and development, helping to meet global demand.
Apple and MP will also collaborate to establish a rare earths recycling line in Mountain Pass, California, and will develop new magnet materials and processing technologies to improve magnet performance.
“American innovation drives everything we do at Apple, and we’re proud to deepen our investment in the U.S. economy,” said Tim Cook, Apple’s CEO.
5. OpenAI and AWS launch new AI agent features
Open AI has launched a powerful new Agent mode in ChatGPT for pro, plus and team users.
It can autonomously complete tasks across the web, and also includes productivity tools.
The new feature enables AI agents that can help automate workflow by creating and editing spreadsheets and presentations, generating reports, analyzing data and managing calendars on users’ desktops; agents can also browse websites and fill out forms with user approval. The company has plans to add e-commerce checkouts.
Aside from that, the Financial Times reported this week that OpenAI plans to take a cut of online shopping purchases made within its chatbot as a way to generate revenue from people using AI for shopping inspiration.
Amazon (NASDAQ:AMZN) also made major announcements around AI agents this week. At its Amazon Web Services (AWS) Summit in New York, the company launched Bedrock AgentCore, a suite of enterprise-grade services that will allow developers to build, deploy and run scalable agents. AWS also introduced AI Agents & Tools, a new category on AWS Marketplace. It features pre-built agents from partners like Anthropic, IBM (NYSE:IBM) and Stripe.
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.
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14 July
AI Market Update: Q2 2025 in Review
Q2 confirmed that the artificial intelligence (AI) boom is entering a new phase in the physical world.
As the industry evolves, attention is being directed to strengthening underlying infrastructure while advancing areas like embodied AI, a subsector that MarketsandMarkets projects will grow at a CAGR of 39 percent globally by 2030.
Also during Q2, a geopolitical tech rivalry exacerbated shifting macroeconomic conditions.
While the race for compute, energy, hardware and supply chain dominance intensified, talk of tariff policies reigniting inflation or contributing to stagflation created brief periods of contraction.
Concerns also grew around AI-driven job displacement, amplified by Anthropic CEO Dario Amodei’s ominous warning that AI could eliminate up to half of all entry-level white-collar jobs within the next five years.
On a more positive note, the S&P 500 (INDEXSP:.INX) and Nasdaq Composite (INDEXNASDAQ:.IXIC) both ended Q2 up by 0.5 percent, closing the first half of 2025 at all-time highs with gains of 5.5 percent.
That said, investor enthusiasm for AI is showing early signs of recalibration.
Big Tech delivered generally robust Q2 earnings despite initial volatility in April, but posted only modest year-to-date gains, suggesting near-term caution around richly valued growth names. Meanwhile, quantum computing, which NVIDIA (NASDAQ:NVDA) CEO Jensen Huang said was decades away just six months ago, made measurable progress in Q2, drawing attention from both deep-tech investors and national governments.
McKinsey’s annual Quantum Technology Monitor projects that quantum computing, communication and sensing could generate up to US$97 billion in global revenue by 2035, with quantum computing leading the way.
Not surprisingly, AI companies performed well. Thirty-eight AI stocks chosen by Morningstar — including Palantir Technologies (NASDAQ:PLTR), Palo Alto Networks (NASDAQ:PANW), Synopsys (NASDAQ:SNPS) and Micron Technology (NASDAQ:MU) — closed 27.3 percent higher, outpacing the Morningstar US Technology Index, which gained 22 percent.
Ultimately, the quarter underscored a strategic pivot for major tech players, prioritizing vast infrastructure investments alongside aggressive AI monetization efforts to capitalize on this transformative era.
AI results impact major tech players
In public markets, AI-related equities continued to attract attention.
NVIDIA posted another blockbuster quarter, with its market cap on the cusp of $US4 trillion at the end of June. Its performance was driven largely by demand for Blackwell architecture.
Alphabet (NASDAQ:GOOGL), facing a possible Chrome divestiture, reported an increase in AI-related ad revenue and highlighted growing adoption of its Gemini model suite. Amazon (NASDAQ:AMZN) reported a 23 percent annual increase in net sales from its Amazon Web Services segment, beating earnings estimates by 17.78 percent.
Meta Platforms' (NASDAQ:META) Reality Labs division reported a $US4.2 billion operating loss; however, interest in embodied AI applications for the metaverse and augmented reality continue to be the company’s long-term play, with CEO Mark Zuckerberg poaching the industry’s top talent to assemble the Meta Superintelligence Lab. On July 7, Reuters reported that the company had added Apple's (NASDAQ:AAPL) Ruoming Pang as its latest recruit.
Microsoft's (NASDAQ:MSFT) OpenAI partnership faced issues after OpenAI bought Windsurf, an AI coding firm. Disputes arose over Microsoft’s access to WindSurf’s IP and its stake in a restructured OpenAI.
Q2 was also marked by a shift to AI in hardware, robotics and edge applications.
Chipmakers Advanced Micro Devices (NASDAQ:AMD) and Google introduced specialized AI accelerators, a potential challenge to NVIDIA's nearly three year run as the dominant provider.
Notable developments in robotics included Google Cloud and Samsung Electronics' (KRX:005930) partnership, integrating Google Cloud's advanced generative AI technology into Samsung's new home AI companion robot, Ballie.
Data center operators like Amazon Web Services and Google Cloud also increased their infrastructure investments in the US as part of an effort to reduce reliance on foreign markets and secure long-term AI compute capacity.
Companies began testing or rolling out new AI agent capabilities, empowered by the Model Context Protocol from Anthropic. Major tech players, along with payment giants Visa (NYSE:V), Mastercard (NYSE:MA), Stripe, Block (NYSE:SQ) and PayPal (NASDAQ:PYPL), began adopting the Model Context Protocol to integrate seamless payment functionality directly into AI chatbots, moving beyond simple browse to full commerce.
Microsoft enhanced its GitHub Copilot offering with new coding agents capable of autonomous actions, while a handful of companies, including Dataiku, Databricks and Atlassian (NASDAQ:TEAM), introduced tools designed to build, deploy and manage autonomous systems for real-world enterprise applications.
On the quantum computing side, a paper published by researcher Craig Gidney for Google’s Quantum AI division suggests that a quantum computer could break a highly secure 2048 bit encryption, like the kind used for online banking, much faster than previously thought, requiring fewer than a million qubits.
Quantum computing firms later saw their shares spike following bullish comments from NVIDIA's Huang at his company’s Paris GTC conference. Before Huang’s comments, IBM (NYSE:IBM) announced its development of the world's first large-scale, error-free quantum computer, set to launch by 2029.
AI trends to watch in Q3
Q2 confirmed the AI cycle is evolving beyond text-based chatbots to hardware, embodiment and commercial uses.
While the Magnificent Seven still largely drove returns in Q2, there's an expectation that earnings growth will broaden out to other sectors. Picton Investments' 2025 mid-year update suggests that foundational model growth is encountering headwinds, with competition challenging the need for extensive capital expenditure.
Graph indicating that investor enthusiasm for AI stocks has recently "lost altitude."
Graph via Picton Investments.
However, the firm also suggests that this shift is redirecting the spotlight to real-world AI applications, leading to an expected acceleration of industrial adoption and the creation of new companies.
At this year’s Web Summit conference in May, panelists emphasized the critical role of strategic early stage investments when it comes to navigating the evolving AI landscape and identifying new opportunities.
“Our take is (that) AI is going to upend a lot of technology businesses. In the specific sense, I am of increasingly high conviction that authoring software is going to be more or less free, and that's going to shake up the topology of the software business market (in terms of) what makes sense and what's investable,” said Brett Gibson, managing partner at Initialized Capital, during a panel discussion on where AI investment is headed next.
He added that customizable software will ultimately allow for tailored solutions for virtually any need.
In H2, quantum computing could continue its shift from pure research into early stage commercialization.
Updates may come from firms like IonQ (NYSE:IONQ), which recently raised US$1 billion to expand quantum networking, as well as Quantinuum and PsiQuantum, which may reach technical milestones.
Meanwhile, D-Wave (NYSE:QBTS) is pivoting toward hybrid commercial models, which may offer continued proof of revenue from quantum optimization-as-a-service.
However, the outcome of ongoing trade negotiations between the US and the rest of the world could impact chip capacity and rare earths supply chains, constraining the growth of AI hardware stocks.
The Trump administration’s imposition of 25 percent tariffs on Japan and South Korea may pose a threat to semiconductor capacity and rare earths equipment imports critical for AI hardware.
“Both countries have been close partners on economic security matters and have a lot to offer the United States on priority matters like shipbuilding, semiconductors, critical minerals and energy cooperation,” Asia Society Policy Institute vice president Wendy Cutler said in response to the hikes.
Investor takeaway
The second quarter of the year confirmed an evolution in the AI landscape as the industry moves beyond theoretical discussions to real-world applications and critical infrastructure development.
While geopolitical tensions and concerns about job displacement may continue to present challenges, this pivot could set the stage for continued innovation and adaptation as the industry navigates both opportunities and complexities.
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.
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