AI is forecast to add a cumulative $19.9 trillion to the global economy by 2030, according to a recent IDC study. This growth includes direct revenue from AI companies and investments in infrastructure. By that year, AI-related activities could contribute 3.5% to global GDP.
IDC reports AI spending will involve direct, indirect, and induced categories. Direct spending includes revenue from AI companies and their investment in hardware, while indirect spending covers the construction of data centres and related hiring. Induced spending, meanwhile, represents the broader economic impact of AI advancements.
Every dollar invested in business-related AI solutions in 2030 is expected to generate $4.60 into the global economy. However, IDC’s analysis does not cover potential changes in jobs or wages, which many believe AI adoption could affect.
A survey from IDC revealed that 48% of workers expect part of their roles to be automated within two years. While job automation is a significant concern, full automation remains rare, with only 3% expecting their jobs to be completely automated.
The International Telecommunication Union (ITU) recently hosted the Digital Skills Forum in Manama, Bahrain, addressing the pressing need for digital skills in today’s technology-driven society. With nearly 700 participants from 44 countries, the forum emphasised urgent calls to action aimed at bridging the digital skills gap that affects billions around the globe.
‘Digital skills have the power to change lives,’ asserted Doreen Bogdan-Martin, ITU Secretary-General, highlighting the union’s dedication to fostering an inclusive digital society. In response to this challenge, ITU introduced the ‘Digital Skills Toolkit 2024,’ a comprehensive resource to support policymakers and stakeholders in crafting effective national strategies to close digital skills gaps.
That toolkit seeks to empower diverse sectors, including private enterprises and academic institutions, by providing essential insights and resources within an ever-evolving technological landscape. Furthermore, the forum underscored the importance of lifelong learning and continuous upskilling, particularly in advanced fields such as AI and cybersecurity. ‘Addressing the digital skills gap requires strong partnerships and a commitment to investing in digital education,’ emphasised Cosmas Luckyson Zavazava, Director of ITU’s Telecommunication Development Bureau.
Bahrain’s leadership in promoting digital skills was prominently featured, reflecting its dedication to international cooperation and innovation. Young entrepreneurs showcased their innovative approaches to digital education, demonstrating the transformative potential of technology in shaping the future.
When planning his summer trip to Amsterdam and Ireland, Jason Brown opted for ChatGPT over traditional travel resources. The founder of People Movers used the AI tool to design a detailed itinerary for his family, outlining activities in Dublin and Galway. He described the experience as ‘fantastic,’ noting how quickly ChatGPT generated organised suggestions for each day. While he implemented many of the AI‘s recommendations, he also appreciated personal connections for uncovering local treasures.
The growing influence of generative AI in travel planning is clear, with tools like Google’s Gemini and Microsoft’s Copilot becoming increasingly popular. A recent survey found that one in ten Britons have turned to AI for travel arrangements, with many showing interest in using it again. However, challenges persist, as many users reported receiving generic or inaccurate information. Experts stress the need to verify AI-generated content with trusted sources, such as residents or travel agents, to ensure accuracy.
Sardar Bali, co-founder of the AI travel planner Just Ask Layla, argues about the need for accuracy in AI-generated content. His team uses a two-step verification process to enhance reliability, though he admits that errors can still happen. Meanwhile, major companies like Expedia are incorporating AI into their services to simplify complex travel planning by offering personalised suggestions.
However, not all experiences with AI in travel planning have been positive. Freelance writer Rebecca Crowe faced challenges with AI-generated itineraries that were often impractical and outdated, especially when looking for gluten-free dining options. She recommends using AI mainly for inspiration, while also cross-referencing information with trusted blogs and travel guides to ensure accuracy and save time.
Samsung has rolled out its One UI 6.1.1 update for the Galaxy Tab S8 series in South Korea. The update, initially available for Galaxy smartphones, introduces new Galaxy AI features and various improvements to One UI. The software upgrade applies to the Galaxy Tab S8, S8+, and S8 Ultra, with firmware versions X700XXU8CXHB, X800XXU8CXHB, and X900XXU8CXHB, respectively.
The update is significant, with a download size of over 2.8GB. The Galaxy AI features included in the upgrade were previously seen on the Galaxy Z Flip 6 and Galaxy Z Fold 6. Besides the AI enhancements, users will also experience improved Samsung stock apps and refined One UI functionality.
Samsung tablet users in South Korea can now install the update by heading to their device settings and manually downloading the software. For Galaxy Tab S8 series owners outside South Korea, the update is expected to roll out soon across various regions.
LinkedIn has come under scrutiny for using user data to train AI models without updating its privacy terms in advance. While LinkedIn has since revised its terms, United States users were not informed beforehand, which usually allows them time to make decisions about their accounts. LinkedIn offers an opt-out feature for data used in generative AI, but this was not initially reflected in their privacy policy.
LinkedIn clarified that its AI models, including content creation tools, use user data. Some models on its platform may also be trained by external providers like Microsoft. LinkedIn assures users that privacy-enhancing techniques, such as redacting personal information, are employed during the process.
The Open Rights Group has criticised LinkedIn for not seeking consent from users before collecting data, calling the opt-out method inadequate for protecting privacy rights. Regulatory bodies, including Ireland‘s Data Protection Commission, have been involved in monitoring the situation, especially within regions under GDPR protection, where user data is not used for AI training.
LinkedIn is one of several platforms reusing user-generated content for AI training. Others, like Meta and Stack Overflow, have also begun similar practices, with some users protesting the reuse of their data without explicit consent.
Several tech companies, including Meta and Spotify, have criticised the European Union for what they describe as inconsistent decision-making on data privacy and AI. A collective letter from firms, researchers, and industry bodies warned that Europe risks losing competitiveness due to fragmented regulations. They urged data privacy regulators to deliver clear, harmonised decisions, allowing European data to be utilised in AI training for the benefit of the region.
The companies voiced concerns about the unpredictability of recent decisions made under the General Data Protection Regulation (GDPR). Meta, known for owning Facebook and Instagram, recently paused plans to collect European user data for AI development, following pressure from EU privacy authorities. Uncertainty surrounding which data can be used for AI models has become a major issue for businesses.
Tech firms have delayed product releases in Europe, seeking legal clarity. Meta postponed its Twitter-like app Threads, while Google has also delayed the launch of AI tools in the EU market. The introduction of Europe’s AI Act earlier this year added further regulatory requirements, which firms argue complicates innovation.
The European Commission insists that all companies must comply with data privacy rules, and Meta has already faced significant penalties for breaches. The letter stresses the need for swift regulatory decisions to ensure Europe can remain competitive in the AI sector.
Chinese multinational technology company, Alibaba, has intensified its push into the generative AI space by releasing new open-source AI models and text-to-video technology. The Chinese tech giant’s latest models, part of its Qwen 2.5 family, range from 0.5 to 72 billion parameters, covering fields like mathematics, coding, and supporting over 29 languages.
This marks Alibaba’s shift towards a hybrid approach, combining both open-source and proprietary AI developments, as it competes with rivals such as Baidu and OpenAI, which favor closed-source models. The newly introduced text-to-video model, part of the Tongyi Wanxiang family, positions Alibaba as a key player in the rapidly growing AI-driven content creation market.
The company’s new AI offerings aim to serve a wide range of industries, from automotive and gaming to scientific research, solidifying its role in shaping the future of AI across various sectors.
During the recent ‘Made on YouTube’ event, several new features were announced, with the highlight being the integration of AI into YouTube Shorts. The company is incorporating Google DeepMind’s AI video generation model, Veo, first introduced at Google’s I/O 2024. This integration will allow creators to generate high-quality backgrounds and six-second video clips in various cinematic styles. Veo is capable of producing 1080p clips and is positioned to compete with similar AI tools from OpenAI, Runway, and others. It is considered an upgrade to YouTube‘s Dream Screen, launched in 2023, and is intended to enhance the content creation process by making it smoother and more dynamic.
The new Veo-powered feature in Dream Screen allows creators to choose from AI-generated images and convert them into short video clips, enabling smoother transitions in content creation. This tool is expected to enhance storytelling on Shorts, for instance, by adding cityscapes or filler scenes to enrich the narrative. The resulting videos will be watermarked using DeepMind’s SynthID technology to indicate that they are AI-produced content.
YouTube has introduced new features to improve user interaction in addition to the Veo update. One of these features is “Jewels,” which allows viewers to send digital items to creators during livestreams, similar to TikTok’s gifting option. The platform has also expanded its automatic dubbing tool to cover more languages and is testing more expressive voice dubbing. Furthermore, YouTube has added AI brainstorming tools for video ideas, AI-generated thumbnails, and AI-assisted comments to help creators engage more effectively with their audiences.
Alibaba pushes forward with AI innovation, launching a wide range of open-source models and text-to-video technology. The Chinese tech giant’s latest release includes over 100 models from its Qwen 2.5 family, offering significant improvements in mathematics, coding, and multilingual support.
These models aim to enhance AI capabilities in various industries, including gaming, automotive, and scientific research. Alibaba has adopted a unique hybrid approach, combining open-source and proprietary methods, setting itself apart from competitors like OpenAI and Baidu.
With model sizes ranging from 0.5 to 72 billion parameters, Alibaba’s AI tools cater to diverse business needs. The company’s text-to-video technology, part of its Tongyi Wanxiang image generation family, positions it as a key player in the expanding text-to-video market.
As competition in AI technology intensifies globally, Alibaba’s new developments could challenge major players such as OpenAI and ByteDance. ByteDance recently launched a text-to-video app for Chinese users on Apple’s App Store, further highlighting the rising interest in this technology.
Tech giant Apple announced that it will expand the language support of its generative AI, known as Apple Intelligence, to include German, Italian, Korean, Portuguese, Vietnamese, and more in 2025. This follows the introduction of English versions tailored for India and Singapore. The update will initially arrive with American English in iOS 18.1, expected later this year, with localised English for Australia, Canada, and other regions by the end of 2024.
In 2025, support for languages like Chinese, French, Japanese, and Spanish will also be added. However, Apple faces challenges in major markets, including the European Union, where regulatory hurdles linked to the Digital Markets Act delay its launch on iPhones and iPads. Despite this, the AI feature is already available in the EU through the macOS Sequoia 15.1 developer beta.
China presents even bigger obstacles due to strict local regulations on AI models. Apple is in talks with authorities in both the EU and China to resolve these issues and expand the availability of Apple Intelligence.
