UK economy grows June 2023

UK GDP up April - June 2023

U.K. economy beat expectations with 0.2% growth in the second quarter, boosted by household consumption and manufacturing output, the Office for National Statistics said Friday.

Economists had expected U.K. GDP to level off in the second quarter, after a surprise increase of 0.1% in the first quarter, as the Bank of England’s monetary policy tightening took effect and as persistent inflation began to slow consumer demand.

The economy expanded by 0.5% in June 2023, beating a forecast of 0.2% growth. It follows monthly GDP growth of 0.1% in May and 0.2% in April. However, the strength of the June rise was partially attributed to warm weather, as well as the additional public holiday in May to celebrate the coronation of King Charles III.

Better than expected

GDP was lifted by 1.6% growth in manufacturing and 0.7% in production in the second quarter, while services grew by 0.1%.

The Office for National Statistics (ONS) noted strong growth in household and government consumption in terms of expenditure. Both faced price pressures in the quarter, though this moderated from the previous three-month period.

UK GDP up in June 2023
Growth in June 2023 was stronger than expected at 0.5%

Growth in June 2023 was stronger than expected at 0.5%, showing a recovery when the economy lost one working day due to the national holiday in May. June’s warm weather also benefited the construction industry as well as pubs and restaurants. But the economy was impacted by strike action by NHS workers, doctors, railway unions and teachers. However, the figures for the three months and June in particular were better-than-expected.

What does it mean?

Gross Domestic Product (GDP) is one of the most important tools for looking at the health of the economy, and is watched closely by the government and businesses. If the figure is increasing, that means the economy is growing and people are doing more work and getting a little bit richer, on average.

But if GDP is falling, then the economy is shrinking which can be bad news for businesses. If GDP falls for two quarters in a row, it is typically defined as a recession.

Hackers to compete for $20 million prize

Hackers

The U.S. cyber hacker challenge is a new initiative launched by the Biden administration in August 2023 to use artificial intelligence (AI) to protect critical U.S. infrastructure from cybersecurity risks. 

The challenge will offer $20 million in prize money and includes collaboration from leading AI companies Anthropic, Google, Microsoft and OpenAI, who will make their technology available for the competition. The challenge was announced at the Black Hat USA hacking conference in Las Vegas.

The competition will consist of three stages

  • Qualifying event in the spring of 2024
  • Semifinal at DEF CON 2024
  • Final at DEF CON 2025 

The competitors will be asked to use AI to secure vital software and open source their systems so that their solutions can be used widely (does that create a risk in itsellf)? The top three teams will be eligible for additional prizes, including a top prize of $4 million for the team that best secures vital software.

The challenge aims to explore what’s possible when experts in cybersecurity and AI have access to a suite of cross-company resources. The U.S. government hopes that the promise of AI can help further secure critical U.S. systems and protect Americans from future cyber attacks!

Limitations and risks using AI for security

However, there are flaws and drawbacks of using AI for cybersecurity, both for the attackers and the defenders.

  • Lack of transparency and explainability: AI systems are often complex and opaque, making it difficult to understand how they make decisions or what factors influence their outputs. This can lead to trust issues, ethical dilemmas, and legal liabilities.
  • Overreliance on AI: AI systems are not infallible and may make mistakes or produce false positives or negatives. Relying too much on AI, without human oversight or verification can result in missed threats, erroneous actions, or unintended consequences.
  • Bias and discrimination: AI systems may inherit or amplify human biases or prejudices that are present in the data, algorithms, or design of the systems. This can result in unfair or discriminatory outcomes, such as excluding certain groups of people from access to services or opportunities, or targeting them for malicious attacks.
  • Vulnerability to attacks: AI systems may be susceptible to adversarial attacks, such as data poisoning, model stealing, evasion, or exploitation. These attacks can compromise the integrity, availability, or confidentiality of the systems, or manipulate them to produce malicious outputs.
  • High cost: Developing and maintaining AI systems for cybersecurity requires a lot of resources, such as computing power, memory, data, and skilled personnel. These resources may not be easily accessible or affordable for many organizations or individual.
AI and cybersecurity systems
‘Well, what do you think of AI and cybersecurity sharing resources’? ‘Ha! playing right into our hands’.

These are some of the flaws of using AI for cybersecurity, but they are not insurmountable. With proper research, regulation, education, and collaboration, AI can be a powerful ally in enhancing cybersecurity and protecting against cyber threats – that is until it takes over, but that will never happen… will it?

U.S. to ban some U.S. investments in China tech sector

U.S. AI tech restrictions plan proposed

The U.S. will ban American investment in some areas of China’s high-tech sector, including artificial intelligence, adding to strained relations between the two superpowers.

U.S. firms will also be invited to disclose what investments they make in China in high-tech sectors.The much-anticipated move gives the U.S. government new power to screen foreign dealings by private companies. The U.S. said the measure would be narrowly targeted. However, it is poised to further chill economic relations between the world’s two largest economies. China has reportedly said it was ‘very disappointed‘. The U.S. ‘has continuously escalated suppression and restrictions on China‘. He added that White House claims that the US was not seeking to hurt China’s economy or separate the two countries did not match its actions. ‘We urge the US side to honour its words‘.

Biden order

The order by U.S. President Biden formally kicks off the push to introduce rules to restrict, even prevent American businesses from investing in firms from ‘countries of concern‘ that are active in advanced semiconductors, quantum computing and certain areas of artificial intelligence.

The government will also require U.S. firms to notify the Treasury Department of investments in firms working on a wider range of artificial intelligence and semiconductor technology.

AI tech
U.S. restriction on AI related tech knowledge to China

The rules are not expected to apply to ‘portfolio’ investments, in which firms invest passively in companies via the stock market, but are focused on active investments made by private equity and venture capital businesses. They will now enter a public ‘reflection’ period, which is expected to further clarify what kinds of investments are off-limits. The rules are not expected to go into effect for sometime yet. This new ‘order’ is quite a big deal.

In a briefing with reporters, senior administration officials said the measure was a ‘national security action, not an economic one‘. They said the U.S. remained committed to open investment.

Investment control

Controls on outbound investment are rare among advanced economies, currently present only in Japan and Korea, according to a 2022 report.

In the U.S., prior restrictions on China trade have relied on limiting sales of sensitive technology by U.S. firms and screening Chinese investments in American companies. The Trump administration had also barred investments in firms tied to China’s military.

The latest measure has widespread support in Washington, where it is seen as fixing a regulatory gap concerning financial flows that risks allowing American money and know-how to to flow into China.

International support

The U.S. has been trying to build international support for the investment curbs with some signs of success.

Prime Minister Rishi Sunak in May 2023 said the UK government would consider curbs on outbound investment; the European Commission put forward a proposal focused on investments in sensitive technologies earlier this summer. It is not clear how significantly the order would affect flows of investment.

China was the number two destination for foreign investment in 2022, behind the U.S., but many reports suggest money flowing into the country from the U.S. and elsewhere has dropped sharply as geopolitical relations sour. In the UK, a recent survey by the Institute of Directors found that one in five UK importers had already switched investments away from the country due to geopolitical tensions.

China has responded to the curbs with its own rules, including limits on exports of some critical minerals used to make computer chips.

Gallium and Germanium
Gallium and Germanium considered critical elements required in the production of microchips

Treasury Secretary Janet Yellen, who visited China in July 2023 in an attempt to ease tensions, said last month she did not think the coming curbs would have a fundamental impact on the investment climate in the country.

Will these measures likely damage the U.S. in the future by escalating issues and restricting the U.S. from other shared advancements in technology – only time will tell.

Tech’ rivalry

U.S. and China are two of the world’s leading powers in artificial intelligence (AI) and semiconductors, which are essential components for many AI applications such as self-driving cars, smart phones, and cloud computing. However, the two countries have also been engaged in a fierce competition and rivalry over these technologies, as they seek to gain an edge in innovation, security, and economic growth. Some of the issues that have caused tensions between U.S. and China include trade disputes, intellectual property theft, cyberattacks, human rights violations, and military expansion.

AI chips

AI semiconductors are designed to perform complex calculations and tasks that require high levels of intelligence, such as natural language processing, computer vision, and machine learning.

These chips can be classified into two types: general-purpose chips that can run various AI algorithms, and specialized chips that are optimized for specific AI functions or domains.

The race is on…