Apple, Amazon and Intel all post positive results 31st October 2024

Apple

Apple’s fourth-quarter results surpassed Wall Street forecasts for revenue and earnings per share. However, net income declined due to a one-time charge related to a tax settlement in Europe.

iPhone sales and overall sales both rose by 6%.

Apple one year stock chart

Amazon

Amazon’s shares soared in after-hours trading following the announcement of earnings and revenue that exceeded expectations. The firm’s cloud services and advertising divisions demonstrated significant expansion.

Amazon one year stock chart

Intel

Intel has reported earnings that surpassed expectations and provided improved guidance. The company is currently undergoing a significant restructuring initiative.

Intel one year stock chart

However, Intel has now lost over half its market value.

Microsoft and Meta both indicate future AI spending will cut into next quarter profits

Microsoft and AI

Microsoft’s significant investment in OpenAI is impacting its earnings – 30th October 2024

The company reportedly indicated, following the quarterly earnings report, that Microsoft anticipates a $1.5 billion reduction in income for the current period, primarily due to projected losses from OpenAI.

Microsoft’s nearly $14 billion investment in OpenAI, the creator of the widely popular ChatGPT assistant, has catalysed the emergence of the generative artificial intelligence industry, leading to billions in new revenue for Microsoft.

Despite this, OpenAI is experiencing substantial financial losses. It is projected to incur $5 billion in losses this year, excluding stock-based compensation, against $4 billion in revenue, according to reports from earlier this month.

Microsoft’s stock declined following weaker-than-expected revenue guidance, despite exceeding earnings expectations.

The company’s revenue reportedly increased by 16% in the fiscal first quarter, outpacing analyst predictions.

Earnings from Azure and other cloud services reportedly rose by 33%, exceeding forecasts.

Nevertheless, the projected revenue growth did not meet analyst expectations.

Meta

Meta’s third-quarter earnings report, released on Wednesday 30th October 2024, disclosed user numbers that fell short of expectations.

The company reported $3.29 billion daily active users for the quarter, marking a 5% increase from the previous year but still below the anticipated $3.31 billion by analysts.

Meta also projected a substantial increase in capital expenditures for 2025.

Additionally, Meta indicated a significant rise in AI spending for 2025.

Amazon goes nuclear, to invest more than $500 million to develop small modular reactors (SMR)

AWS nuclear power

Amazon Web Services (AWS) has announced the signing of an agreement with Dominion Energy, the utility company of Virginia U.S., to explore the development of a small modular nuclear reactor near Dominion’s existing North Anna nuclear power station.

As Amazon’s cloud computing subsidiary, AWS has an ever-growing demand for clean energy, particularly as it expands into generative AI. This agreement aligns with Amazon’s journey towards net-zero carbon emissions.

Amazon joins other major tech companies like Google and Microsoft in turning to nuclear power to meet the increasing energy needs of data centres.

Big tech companies are increasingly adopting nuclear power to meet the high energy demands of their AI data centres

Data centre powered by nuclear reactors

Why?

Elevated Energy Needs

AI systems, particularly generative AI, necessitate substantial computational power, leading to significant energy use. Conventional energy sources might not meet these growing demands.

Environmental Commitments

Numerous tech firms have pledged to lower their carbon emissions. Nuclear power, a low-emission energy source, supports these environmental commitments.

Dependability

Nuclear energy offers a consistent and uninterrupted power supply, essential for data centres that operate around the clock.

Technological Advancements

Progress in nuclear technologies, such as small modular reactors (SMRs), has enhanced the feasibility and appeal of nuclear power for extensive use.

For example, Google has entered into an agreement with Kairos Power for electricity from small modular reactors to bolster its AI operations. In a similar vein, Microsoft has collaborated with Constellation to refurbish an inactive reactor at the Three Mile Island nuclear facility.

These collaborations mark a notable transition in the energy strategies of the tech sector, as they pursue dependable, eco-friendly, and robust power solutions to support their AI initiatives.

Labour tries to attract new business investment to the UK

Union Jack Flag UK

The UK Labour government aimed to attract foreign investment on Monday 14th October by hosting its first International Investment Summit in London

Prime Minister Keir Starmer, Chancellor Rachel Reeves, and Business Minister Jonathan Reynolds headed the one-day event at London’s Guildhall, with an attendance of approximately 200 executives from both the UK and abroad.

Notable attendees were former Google Chairman Eric Schmidt, Goldman Sachs CEO David Solomon, BlackRock CEO Larry Fink, and GSK CEO Emma Walmsley. Poppy Gustafsson, the newly appointed Investment Minister and co-founder of the British cybersecurity company Darktrace, were also present to advocate for the UK as a favourable business environment.

The UK government unveiled a relaxation of regulations and announced investment deals worth billions of pounds in sectors such as artificial intelligence, life sciences, and infrastructure, while Starmer proclaimed it’s ‘a great moment to back Britain.’

‘We will rip out the bureaucracy that blocks investment and we will make sure that every regulator in this country take growth as seriously as this room does,‘ Starmer reportedly told delegates.

UK Prime Minister Keir Starmer on Monday 14th October 2024 vowed to slash regulatory red tape to boost investment in the country.

“We’ve got to look at regulation across the piece, and where it is needlessly holding back investment … mark my words, we will get rid of it,” he reportedly told delegates at the UK’s International Investment Summit.

The government on Sunday 13th October 2024 announced the launch of a new industrial strategy, designed to focus on eight “growth-driving sectors.”

The prime minister reportedly restated that growth was the “No. 1 test of this government,” and reiterated plans for the U.K. to become the fastest-growing G7 economy.

Starmer also outlined stability, strategy, regulation and improving Britain’s global standing as “four crucial areas” in his pitch for Britain.

“Private sector investment is the way we rebuild our country and pay our way in the world,” Starmer said

In a panel discussion with Starmer, Google’s ex-CEO Eric Schmidt expressed his surprise upon learning that the Labour party had shifted to ‘strongly’ support growth.

Schmidt is eager to see the execution of this approach and encouraged the government to increase investment in artificial intelligence to fulfill broader growth objectives.

Nvidia hits new record high with new $3.4 trillion market cap

AI chips

Nvidia’s shares have reached a record peak as the company continues to benefit from the surging demand for its AI chips

Tech giants such as Microsoft, Meta, Google, and Amazon are acquiring Nvidia’s GPUs in large volumes to create extensive AI computing clusters.

Nvidia, with a market capitalisation of around $3.4 trillion, ranks as the second most valuable publicly traded company in the U.S., trailing behind Apple, which has a market cap of approximately $3.55 trillion.

And to think… just 6 weeks ago Nvidia hit the news with this headline: Nvidia $279 billion market cap wipeout — the biggest in U.S. history for just ONE company.

Oh, the volatility of tech stocks, don’t you just love it?

The company’s stock rose by 2.4% to close at $138.07, exceeding the previous high of $135.58 set on 18th June 2023. The shares have increased by nearly 180% this year and have experienced a more than ninefold increase since early 2023.

Regarded as the leading supplier in the AI revolution, Nvidia has gained significantly from the generative AI surge initiated by OpenAI’s ChatGPT release in November 2022. Nvidia’s GPUs are instrumental in developing and running sophisticated AI models, including those that operate ChatGPT and related platforms.

You can’t go far wrong when big players such as Microsoft, Meta, Google and Amazon are buying your stuff.

Meta reportedly to use the voice of Dame Judi Dench for its celebrity AI Chatbot

Chatbot with celebrity voices

Meta, the parent company of Instagram, has announced that voices of Dame Judi Dench and John Cena will be available as options for its AI chatbot.

Moreover, users can access information through AI representations of celebrities such as Awkwafina, Keegan-Michael Key, and Kristen Bell. Meta is hopeful that this new endeavour with celebrity chatbots will surpass the success of its previous attempts. In September 2023, Meta introduced AI chatbots featuring the ‘personalities’ of celebrities including Kendall Jenner and Snoop Dogg, but the project was terminated within a year.

At Meta’s annual Connect conference, CEO Mark Zuckerberg announced the new celebrity chatbot project, remarking, ‘Interacting with AI through voice will be more intuitive than through text.‘ The enhanced ChatGPT-style chatbot will also be capable of recognizing objects in images and providing relevant details. Additionally, a novel image editing tool will allow users to alter photos by simply directing the Meta AI with their requests.

Meta has disclosed that its AI now reaches over 400 million people monthly, with 185 million engaging weekly.

Meta one-year chart as of 2nd October 2024

Meta one-year chart as of 2nd October 2024

What is China’s equivalent to Nvidia?

AI microchips

Chinese firms are reportedly intensifying their efforts to develop a competitive alternative to Nvidia’s AI chips, as part of Beijing’s ongoing initiative to reduce its reliance on U.S. technology.

China faces several challenges that are impeding its technological progress, including U.S. export restrictions that limit domestic semiconductor production. The lack of technical expertise is also reported to be a problem.

Analysts have identified companies including Huawei as the principal competitors to Nvidia in China

China’s counterparts to Nvidia, such as Huawei, Alibaba, and Baidu, are actively developing AI chips to compete in the same market. Huawei’s HiSilicon division is known for its Ascend series of data centre processors.

Huawei’s HiSilicon division is known for its Ascend series of data centre processors, and Alibaba’s T-Head has produced the Hanguang 800 AI inference chip. Other significant players include Biren Technology and Cambricon Technologies.

Alibaba’s T-Head has developed the Hanguang 800 AI inference chip. Other significant players include Biren Technology and Cambricon Technologies.

These Chinese firms are intensifying their efforts to create alternatives to Nvidia’s AI-powering chips. This is a big part of Beijing’s broader initiative to reduce its reliance on U.S. technology.

Nvidia’s surge in growth is attributed to the demand from major cloud computing companies for its server products, which incorporate graphics processing units, or GPUs.

These GPUs are crucial for entities like OpenAI, the creator of ChatGPT, which requires substantial computational power to train extensive AI models on large datasets.

AI models are crucial for chatbots and other AI applications

Since 2022, the U.S. has limited the export of Nvidia’s top-tier chips to China, with further restrictions imposed last year.

The U.S. sanctions and Nvidia’s market dominance pose significant obstacles to China’s ambitions, particularly in the short term, according to analysts. The U.S. has curbed the export of Nvidia’s most sophisticated chips to China since 2022, with increased restrictions implemented last year.

China’s GPU designers rely on external manufacturers for chip production. Traditionally, this role was filled by Taiwan Semiconductor Manufacturing Co. (TSMC). However, due to U.S. restrictions, many Chinese firms are now unable to procure chips from TSMC.

As a result, they have shifted to using SMIC, China’s largest chipmaker, which is technologically several generations behind TSMC. This gap is partly due to Washington’s limitations on SMIC’s access to essential machinery from the Dutch company ASML, necessary for producing the most advanced chips.

Huawei is driving the development of more sophisticated chips for its smartphones and AI, which occupies a significant portion of SMIC’s capacity.

Nvidia has achieved success not only through its advanced semiconductors but also via its CUDA software platform. The system enables developers to build applications for Nvidia’s hardware. This has fostered an ecosystem around Nvidia’s designs, which will be challenging for competitors to emulate.

Huawei leading the pack for China

Huawei is at the forefront as a leading force in China for its Ascend series of data centre processors. The current generation, named Ascend 910B, is soon to be succeeded by the Ascend 910C. This new chip may come to rival Nvidia’s H100.

Big Tech aiming to raise $100 billion for AI data centres

Fund creation for AI

In a substantial effort to strengthen the infrastructure required for artificial intelligence (AI), BlackRock and Microsoft have unveiled a significant fundraising endeavour.

The initiative, dubbed the Global AI Infrastructure Investment Partnership (GAIIP), seeks to secure $30 billion in private equity capital, with the possibility of leveraging up to $100 billion including debt financing.

The main objective of this initiative is to establish new and larger data centers to accommodate the escalating demand for computing power spurred by advancements in AI. These data centres are vital for meeting the growing computational requirements of AI applications, which necessitate substantial processing power and storage capacity. Additionally, the partnership will focus on investing in the energy infrastructure required to operate these data centres in an environmentally sustainable manner.

BlackRock, the global investment management corporation, contributes its vast network of corporate relationships and private equity expertise. Microsoft, a pioneer in technology and AI, offers the necessary technological expertise and industry leadership. Together, their goal is to establish a strong infrastructure that will bolster AI innovation and contribute to economic expansion.

The investment will be primarily directed towards the United States, with a portion also being allocated to partner countries. This strategic emphasis aims to boost American AI competitiveness and encourage worldwide cooperation. The partnership is designed to support an open architecture and a wide-ranging ecosystem, enabling a variety of partners and companies to leverage the infrastructure.

NVIDIA, a leading force in AI technology, will contribute to GAIIP by providing its expertise in AI data centres and manufacturing facilities. This partnership is anticipated to improve AI supply chains and energy procurement, offering advantages to both consumers and the broader industry.

This collaboration marks a substantial move towards establishing the infrastructure of tomorrow and powering it in an eco-friendly manner.

The AI Race between China and the U.S.

AI development in China and U.S.

Artificial Intelligence (AI) has become a pivotal battleground in the technological race between China and the United States.

“AI is expected to become a crucial component of economic and military power in the near future,” Stanford University’s Artificial Intelligence Index Report 2023 stated.

Both countries are significantly investing in AI research and development, striving to achieve a leading role in this revolutionary sector. This post looks at the major figures in China’s AI scene, their progress, and their comparison with their American counterparts.

China’s AI Landscape

China’s AI aspirations are propelled by a number of significant technology firms, each forging their own AI models and applications.

Baidu: Often referred to as the ‘Google of China,’ Baidu leads in AI development. Its premier AI model, ERNIE (Enhanced Representation through Knowledge Integration), fuels the Ernie Bot, a chatbot aimed to compete with OpenAI’s ChatGPT. Baidu asserts that ERNIE 4.0 matches GPT-4’s capabilities, demonstrating sophisticated understanding and reasoning abilities.

Alibaba: Alibaba’s AI model, Tongyi Qianwen (commonly known as Qwen), is a comprehensive set of foundational models adept at a range of tasks, from generating content to solving mathematical problems. Select versions of Qwen are open-source, enabling developers to utilize and modify them for various uses. Alibaba has announced that Qwen models are in use by over 90,000 enterprise clients.

Tencent: The Hunyuan model from Tencent is a prominent component of China’s AI landscape. Offered through Tencent’s cloud computing division, Hunyuan is tailored to facilitate a broad spectrum of applications, encompassing natural language processing and computer vision.

Huawei: In spite of considerable obstacles stemming from U.S. sanctions, Huawei persists in AI innovation. The firm has created its own AI processors, like the Kunlun series, to diminish dependence on international technology. Huawei’s AI features are incorporated into a diverse array of products, including smartphones and cloud solutions.

Comparison to the U.S.

The U.S. continues to be a dominant force in AI, with leading companies such as OpenAI, Microsoft, Google, Anthropic and Meta spearheading advancements.

Generative AI: U.S. firms have advanced significantly in generative AI, with OpenAI’s GPT-4 and Google’s Gemini at the forefront. These models excel in creating text, images, and videos from user inputs. Although Chinese models like ERNIE and Qwen are strong contenders, the U.S. maintains a slight lead in capabilities and market penetration.

Semiconductor Design: The U.S. leads the semiconductor design industry, vital for AI progress. U.S. companies command an 85% global market share in chip design, crucial for AI model training and system operation. China’s dependence on imported semiconductors is a notable obstacle, but there are ongoing efforts to create homegrown solutions.

Research and Innovation: Both nations boast strong AI research sectors, yet the U.S. edges out slightly in generating state-of-the-art AI products. U.S. tech giants frequently introduce AI breakthroughs to the market, with Chinese firms quickly gaining ground.

Government Support: The Chinese government ardently backs AI advancement, enacting strategies to spur innovation and lessen foreign tech reliance. Such support has spurred China’s AI industry’s rapid expansion, positioning it as a strong rival to the U.S.

Conclusion

The competition in AI development between China and the U.S. is escalating, as both countries achieve significant breakthroughs. Although the U.S. maintains a marginal lead in some respects, China’s swift advancement and state backing indicate that the disparity might keep closing. The quest for AI dominance by these nations is set to influence the worldwide technological and innovative landscape profoundly.

As of September 2024, it is estimated that China’s AI development is approximately nine months behind that of the U.S.

U.S. introduces new microchip-related export controls

U.S. chip rules

The Biden administration is reportedly implementing new export controls on essential technologies, such as quantum computing and semiconductor materials, in response to China’s progress in the global chip market

These controls encompass quantum computers and their components, sophisticated chipmaking tools, semiconductor technologies, certain metal and metal alloy components and software, and high-bandwidth chips, which are vital for AI applications.

While the U.S. intensifies its measures to curb China’s expansion, there is noticeable hesitancy within the global industry.

The U.S. Department of Commerce issued new regulations on Friday, 6th September 2024, encompassing quantum computers and their components, sophisticated chipmaking tools, certain metal and metal alloy components and software, as well as high-bandwidth chips, which are vital for AI applications.

See report details here

Qualcomm intensifies competition with Intel and AMD and others as the company introduces its newest AI PC chip

New AI chip from Qualcomm

Qualcomm has introduced the Snapdragon X Plus 8-core processor, intensifying its venture into the AI PC market and challenging competitors like Intel and AMD

The U.S. semiconductor powerhouse announced that the Snapdragon X Plus 8-core targets PCs priced from $700, aiming to broaden its chip reach to additional devices.

Moreover, Qualcomm has enjoyed backing from Microsoft, which is incorporating Snapdragon processors in its Copilot+ PCs.

Qualcomm says the company is also working on mixed reality smart glasses with Samsung and Google.

Biggest one-day market capitalisation drop for a U.S. stock in history, and guess what… it was Nvidia

Nvidia

Nvidia $279 billion market cap wipeout — the biggest in U.S. history for just ONE company

On Tuesday 3rd September 2024, around $279 billion of value was wiped off of Nvidia. That was the biggest one-day market capitalisation drop for a U.S. stock in HISTORY!

Nvidia one-day chart closed 108 on 3rd September 2024

Nvidia one-day chart closed 108 on 3rd September 2024

Nvidia shares continued sliding in post-market trading Tuesday, falling 2%, after Bloomberg reported that the company received a subpoena from the Department of Justice as part of an antitrust investigation.

Global semiconductor stocks and related sectors subsequently experienced a decline on Wednesday 4th September 2024, after Nvidia’s share price in the U.S. saw a significant plunge overnight.

Update: in a subsequent statement Nvidia reportedly said it didn’t receive antitrust subpoena from DOJ. This according to a report on CNBC.

U.S. AI Safety Institute to evaluate OpenAI and Anthropic new AI models before release to the general public

U.S. AI Safety Inspection

On Thursday 29th August 2024, the U.S. AI Safety Institute announced a testing and evaluation agreement with OpenAI and Anthropic

This agreement reportedly grants the institute access to significant new AI models from each company before and after their public release.

Recently, several AI developers and researchers have voiced concerns regarding safety and ethics within the growing profit-driven AI industry.

Nvidia reports 122% revenue growth

Data centre

Nvidia has announced earnings surpassing Wall Street forecasts and has issued guidance for the current quarter that exceeds expectations.

As the artificial intelligence boom continues, Nvidia remains a major beneficiary. Despite a stock price dip, after trading hours, the stock has risen approximately 150% this year. The question remains whether Nvidia can sustain this growth trajectory.

Nvidia said it expects about $32.5 billion in current-quarter revenue, versus $31.7 billion expected by analysts, according to analysis That would be an increase of 80% from a year earlier.

Revenue continues to surge, rising 122% on an annual basis during the quarter, following three straight periods of year-on-year growth in excess of 200%.

Nvidia’s data centre business, which encompasses its AI processors, saw a 154% increase in revenue from the previous year, reaching $26.3 billion and representing 88% of the company’s total sales.

However, not all these sales were from AI chips. Nvidia reported that its networking products contributed $3.7 billion in revenue.

The company primarily serves a select group of cloud service providers and consumer internet firms, including Microsoft, Alphabet, Meta, and Tesla. Nvidia’s chips, notably the H100 and H200, are integral to the majority of generative AI applications, like OpenAI‘s ChatGPT.

Nvidia also announced a $50 billion stock buyback.

Nvidia shares dropped close to 5% in after-hours pre-market trade (29th August 2024).

Company says it can cut data centre energy use by 50% as AI boom places increased strain on power grids

Power hungry data centre

Major technology corporations such as Microsoft, Alphabet, and Meta are channelling billions into data centre infrastructures to bolster generative AI, which is causing a spike in energy demand.

Sustainable Metal Cloud has announced that its immersion cooling technology is 28% less expensive to install compared to other liquid-based cooling methods and can cut energy use by up to 50%.

The surge in artificial intelligence has increased the need for more robust processors and the energy to cool data centres.

This presents an opportunity for Sustainable Metal Cloud, which runs ‘sustainable AI factories’ consisting of HyperCubes located in Singapore and Australia.

These HyperCubes house servers equipped with Nvidia processors immersed in a synthetic oil known as polyalphaolefin, which is more effective at dissipating heat than air. The company claims this technology can reduce energy consumption by as much as 50% when compared to the conventional air-cooling systems found in most data centres.

Additionally, the Singapore-based company states that its immersion cooling technology is more cost-effective to install by 28% than other liquid cooling options. The HyperCubes are modular and can be integrated into any data centre, utilising spaces that are currently unoccupied within existing facilities.

What is a Hypercube?

  • Structure: A hypercube topology connects nodes in a way that each node is connected to others in a manner similar to the geometric hypercube. For example, in a 3-dimensional hypercube (a cube), each node is connected to three other nodes.
  • Scalability: This structure allows for efficient scaling. As the number of dimensions increases, the number of nodes that can be connected grows exponentially.
  • Fault Tolerance: Hypercube networks are known for their robustness. If one connection fails, there are multiple alternative paths for data to travel, ensuring reliability.

Benefits in data centres

  • High Performance: The multiple pathways in a hypercube network reduce latency and increase data transfer speeds, which is crucial for big tech companies handling vast amounts of data.
  • Efficient Resource Utilisation: The topology allows for better load balancing and resource allocation, optimising the performance of data centres.
  • Flexibility: Hypercube networks can easily adapt to changes in the network, such as adding or removing nodes, without significant reconfiguration.
  • Big Tech Companies: Companies like Google, Amazon, and Microsoft likely use hypercube topologies in their data centres to ensure high performance and reliability.
  • High-Performance Computing (HPC): Hypercube networks are also used in supercomputers and other HPC environments where efficient data transfer is critical.

How frothy is the AI data centre market for investors?

AI market froth?

Nvidia investors have been on a rocket ride to the stars. But recently they have come back down to Earth, and it has become more of a roller coaster ride.

Benefiting significantly from the artificial intelligence surge, Nvidia’s market cap has increased approximately ninefold since late 2022 – a massive market cap gain.

However, after achieving a peak in June 2024 and momentarily claiming the title of the world’s most valuable public company, Nvidia then experienced close to a 30% decline in value over the subsequent seven weeks, resulting in an approximate $800 billion loss in market capitalisation.

Currently, the stock is experiencing a rally, bringing it within approximately 6% of its all-time peak. The chipmaker surpassed the $3 trillion market cap milestone in early June 2024, aligning with Microsoft and Apple. The question remains whether the company can reclaim and sustain that title.

Investors are closely monitoring Nvidia’s forecast for the October quarter, with the company anticipated to report a growth of approximately 75%. Positive guidance would imply that Nvidia’s affluent clients continue to invest heavily in AI development, whereas a lacklustre forecast might suggest that infrastructure investment is becoming excessive.

Should there be any signs of diminishing demand for AI or if a major cloud customer is reducing spending, it could lead to a notable decline in revenue.

Microsoft to release Windows Recall AI search feature for testing as soon as October 2024

AI enabled local device

Microsoft announced on Wednesday 21st August 2024 that it will release the contentious Recall AI search feature for Windows users to test starting in October

Recall captures screenshots of on-screen activity, enabling users to search for previously seen information. Security experts raised immediate concerns about the potential risks of Windows capturing images automatically without user consent. In response, researchers developed open-source software demonstrating how attackers could easily access personal information.

Microsoft addressed these concerns in June 2024, stating that Recall would be disabled by default and promising security improvements for the feature.

While Microsoft has not provided a specific timeline for a wider release, it has introduced a new category of Windows PCs, termed Copilot+ PCs, which meet the system requirements for Recall. These PCs, produced by various manufacturers, are designed to handle AI workloads, and Microsoft has demonstrated Recall operating on these devices.

*Manufacturers are eager to demonstrate that AI models can run on local PCs, offering an alternative to cloud-based servers from companies like OpenAI. Following this trend, Apple has launched MacBooks capable of running AI models, and Microsoft’s latest Surface Pro is also a Copilot+ PC with local AI capabilities.

The timing of Recall’s broader release could be pivotal, as consumer interest in new computers may spike during the holiday season if Microsoft extends Recall to all compatible devices by that time.

*Is this a move away from AI cloud-based operations to some extent? AI tasks can easily be run in the cloud – why do we need an AI enabled device?

OpenAI cements deal with Vogue owner Condé Nast

Magazine AI data

OpenAI has partnered with the global magazine conglomerate Condé Nast to enable ChatGPT and its search engine, SearchGPT, to showcase content from renowned publications such as Vogue, The New Yorker and GQ.

The agreement represents the most recent in a series of deals made by OpenAI with prominent media companies.

The material generated by media organizations is coveted by tech companies for training their AI (Artificial Intelligence) models.

Several media companies, such as the New York Times and the Chicago Tribune, have opposed this practice and have pursued legal measures to safeguard their content.

The financial details of the contract between OpenAI and Condé Nast were not revealed.

Slower and smaller-than-expected rate cuts. A slowing U.S. economy and a potential AI bubble – does this all add up to a coming bear market?

Witches' stocks cauldron

The stock markets mix of toil and trouble is in the cauldron ready for a bear market in 2025, if not before.

Why?

  • Fed to resist reducing rates to the market’s desired 3.50%.
  • Profits unlikely from now on to fulfill expectations, because the U.S. economy is slowing.
  • AI sector is in or close to ‘bubble territory’.
  • Debt.
  • Geopolitical concerns.

These concerns are now all combining, and it will likely add-up to a bear market of around 25% in 2025 (this is my best guess).

Remember – make your own decisions and always, always do your own careful research. Seek professional financial advice if in doubt.

RESEARCH! RESEARCH! RESEARCH!

U.S. stocks recovery attempt fizzles out

Fizzle

Stocks closed lower on Wednesday 7th August 2024, failing to fully recover from Monday’s sell-off.

The Dow Jones Industrial Average dropped 234 points to 38763.45. The S&P 500 fell to 5199.50, while the Nasdaq Composite closed at 16195.81.

During the day, the Dow had surged around 480 points, the S&P 500 had climbed 1.73%, and the Nasdaq had risen over 2%.

Dow Jones one day chart 7th August 2024

Dow Jones one day chart 7th August 2024

S&P 500 one day chart 7th August 2024

S&P 500 one day chart 7th August 2024

Nasdaq Composite one day chart 7th August 2024

Nasdaq Composite one day chart 7th August 2024

However, a downturn in Nvidia and other major tech stocks, after an initial rise, led to a significant drop in the afternoon. Nvidia retracted by 5.1%, Super Micro Computer plummeted 20.1% following its fiscal Q4 earnings missing analyst predictions, Tesla fell 4.4%, and Meta Platforms decreased by 1%.

Nvidia one day chart 7th August 2024

Nvidia one day chart 7th August 2024

One month chart Super Micro Computer 7th August 2024

One month chart Super Micro Computer 7th August 2024

Nvidia one day chart 7th August 2024

Nvidia one day chart 7th August 2024

The U.S.10-year Treasury yield continued to rise, increasing by about six basis points to 3.95%, returning to its level before the disappointing job figures last Friday, which had sparked concerns of an economic slowdown.

The Volatility Index (CBOE), the so called ‘fear gauge‘ was trading at around 29, having dropped to as low as 22 earlier in the day. This sharp decrease from Monday 5th August 2024 suggests that investor fears are subsiding, however, they remain higher than at the beginning of the month.

The Volatility Index (CBOE) on 7th August 2024

The Volatility Index (CBOE) on 7th August 2024

Judge ruling says Google’s monopoly of online searches is illegal

Judge

Too much monopolistic power held by too few

A U.S. judge has ruled that Google illegally maintained a monopoly in online searches and related advertising. The lawsuit, brought by the Department of Justice, charged Google with controlling around 90% of the online search market.

It was reportedly noted by the judge that Google’s billions of dollars in investments to become the default search engine on smartphones and browsers could be anticompetitive.

The decision, issued on Monday 5th August 2024, could potentially change how tech giants operate.

It was reported that in his extensive 277-page decision, Judge Mehta remarked, Google has acted as a monopolist and engaged in anticompetitive practices to maintain its monopoly.”

This represents a significant victory for federal antitrust enforcers who have pursued similar cases against other leading technology companies for illegal monopolistic behaviours.

Companies like Meta Platforms, which operate Facebook and WhatsApp, as well as companies like Amazon and Apple., have also faced lawsuits from federal regulators.

The judgment comes after a 10-week trial where it was argued that Google’s substantial payments to remain the primary search engine have impeded the competition’s ability to challenge effectively.

This is a seismic shift in the way search engines and advertising may operate in the future. Already with the advent of AI, search engines look and feel different.

Recently, OpenAI launched ‘SearchGPT’ – and Microsoft have named it a competitor in the world of search engines.

Times are changing.

Global stock market rout intensifies as Dow futures dip over 1200 points

Stock rout

U.S. stock futures slumped Monday 5th August 2024 as global markets sell-off centered around potential U.S. recession fears.

About one hour before U.S. stocks open – here’s the situation

Dow Jones Industrial Average futures dropped 1250 points following a 611point loss on Friday 2nd August 2024.

S&P 500 futures are down 4.6% after the benchmark lost 1.8% on Friday 2nd August 2024.

Nasdaq-100 futures lost 6% as big tech stocks take a hit in early trading.

Japan’s Nikkei 225 plunged 12% in its worst day since the 1987 Black Monday crash.

If the Dow Jones decline continues it would be the first 1000 point decline since September 2022.

Short-sighted policy U-turn as the UK Labour government cancels £1.3 billion of computing projects

AI supercomputer mainframe

A real set-back for UK AI global ambition

The new Labour government has withdrawn £1.3bn in funding previously pledged by the Conservatives for technology and Artificial Intelligence (AI) initiatives.

This includes £800m allocated for the development of an exascale supercomputer at Edinburgh University and an additional £500m for the AI Research Resource, which provides computing power for AI. These funds were announced less than a year ago.

The Department for Science, Innovation and Technology (DSIT) stated that although the funds were promised by the former administration, they were not included in its budget. The decision has faced criticism from some within the industry.

Another blow for the UK’s homegrown tech sector.

Amazon, Intel, Meta, Nintendo, Apple, Snap, Qualcomm and others report – here’s a brief round-up

Reports summary 31st July 2024 -1st August 2024

Amazon offers weak guidance citing Olympics and the Trump assassination attempt as cause (consumers are distracted). However, Amazon’s cloud unit reports 19% revenue growth, topping estimates and a 20% increase in business in Q2. Amazon stocks pull back after guidance update.

Intel endures a 22% share plunge dragging down other global microchip stocks from TSMC, ASML to Samsung. Company to cut 15% of workforce, reports quarterly guidance miss.

Meta shares climb 6% on positive earnings data and good revenue forecast. Zuckerberg enthused over AI and how it’s helping create profits suggesting ‘Meta’s advertising growth is proof that BIG AI spending is already paying off.’ However, Meta’s Reality Labs posts $4.5 billion loss in second quarter.

Nintendo profit falls 55% as sales of its ageing Switch console plunge. Nintendo revenue and profit plunged in Q1 as sales of its ageing Switch console decline. Nintendo sold 2.1 million units of its Switch consoles, down 46% on the year. Investors are seeking news surrounding a successor to the Nintendo Switch console.

Apple sales climbed 5%, topping estimates as iPad and services revenue lift despite ongoing issues with iPhone sales slipping in China. Apple is spending more on AI but remains way behind its peers.

Snap shares plunge more than 20% on weak guidance.

Qualcomm beats estimates as phone microchip sales up 12%.

Samsung Q2 revenue and profit comes in above estimates amid strong AI demand.

AMD jumps 5% as global microchip stocks rally. Data centre sales doubled.

Microsoft says OpenAI is now a competitor search and AI

AI competition

Microsoft’s list of competitors, which is updated regularly, now features OpenAI, previously a long-term strategic ally.

This development follows OpenAI’s announcement of a search engine prototype.

As OpenAI’s exclusive cloud provider, Microsoft leverages OpenAI’s AI models for products aimed at commercial clients and consumers. Microsoft, OpenAI’s largest investor, has reportedly invested some $13 billion in the firm.

Microsoft’s filing lists OpenAI, the entity behind the ChatGPT chatbot, as a competitor in AI solutions, as well as in the realms of search and news advertising. OpenAI recently unveiled a search engine prototype named SearchGPT.

However, recent developments suggest a shift, with both companies encroaching on each other’s domains.

While some opt to directly pay OpenAI for model access, others utilise Microsoft’s Azure OpenAI Service. Additionally, Microsoft offers the Copilot chatbot as an alternative to ChatGPT, accessible via the Bing search engine and Windows operating systems.