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As the wave of technology is surging forward, artificial intelligence (AI) has been deeply integrated into all aspects of the society and economy from cutting-edge concepts, becoming the core force in promoting industrial transformation and innovative development.

In such an era, the World Economic Forum (WEF) jointly released a report in conjunction with Accenture and KPMG, which undoubtedly provides us with an authoritative perspective for our insight into the future development of AI.

This report brings together wisdom from multiple parties, and through in-depth industry research, cutting-edge technical analysis and accurate grasp of global trends, it presents AI's future opportunities and potential in all aspects.

Whether you are a practitioner who is paying attention to technological innovation, a financial person seeking investment direction, or an ordinary person who cares about social development, you can get inspiration from this report, make arrangements in advance, and welcome the infinite possibilities of the AI ​​era.

Report 1: AI in Action: Beyond Experimentation to Transform Industry 2025

Artificial intelligence is developing at an unprecedented rate, especially in the fields of natural language processing (NLP), computer vision and generative artificial intelligence.

A report "AI in Action: Beyond Experimentation to Transform Industry 2025" written by the World Economic Forum (WEF) and Accenture, explores the opportunities, status of adoption and its future potential in 2025, aiming to provide organizations with a responsible and transformative framework for AI adoption.

Report link: https://www.weforum.org/publications/industries-in-the-intelligent-age-white-paper-series/cross-industry/

The following are the core points of the report:

Opportunities of AI

Efficiency and cost savings: Generative AI not only optimizes workflows and costs, but also significantly increases productivity. For example, a virtual engineer developed by a technology provider reduces HVAC energy costs by 25% and reduces maintenance planning time by 90% by revenue growth: the first companies to adopt AI are already 15% higher than their peers in terms of revenue, and this figure is expected to double by 2026. Generative AI helps designers quickly generate diverse patterns through personalized design tools, directly driving sales and revenue growth. Customer Experience Improvement: AI has shifted from a unique differentiator to stay competitive for all businessesbasic requirements. For example, the London Stock Exchange Group uses AI-powered Q&A services (QAS) to reduce the resolution time of customer queries by 50%.

Actual status of AI adoption

Industry adoption: Telecommunications, financial services and consumer goods industries are leading in AI adoption. Generative AI is particularly prominent in industries that rely on human capital, such as healthcare, financial services and media entertainment industries. Functional adoption: Marketing and sales, product and service development, service operations and risk management are the features with the highest adoption rate of AI. These functions often generate or digitize large amounts of structured and unstructured data, allowing AI models to be trained and scaled more efficiently. Organizational Adoption: Despite the surge in AI investment and use, most organizations are still in their early stages. 74% of companies report challenges in adopting AI at scale, and only 16% are ready for AI-driven overhaul reforms.

The Future Potential of AI

Comprehensive Automation of Complex Tasks: AI agents can work together to achieve comprehensive automation of complex and repetitive tasks, allowing humans to focus on more advanced tasks. For example, by 2028, industries such as manufacturing and financial services will see significant benefits from AI agents managing production lines, optimizing supply chain operations and handling customer support. More contextual and personalized decision-making: Integrating advanced reasoning capabilities into generative AI applications will make AI systems more effective in assisting humans in navigating complex environments and making situation-aware decisions. For example, in the healthcare industry, AI will support personalized treatment options. Enhance personal efficiency and capabilities: AI-integrated handheld devices, advanced edge AI and compact language models have the potential to revolutionize how they work by automating tasks, managing schedules and providing real-time information.

Basics of Successful Implementation of AI

Ecosystem Cooperation: Companies increasingly work with cloud providers, AI technology companies, startups and public institutions to gain resources and expertise. Stakeholder trust in AI: Trust is the key to AI success. 61% of people are hesitant about relying on AI systems, mainly due to concerns about data security and third-party participation. Industry Self-Governance: Organizations are creating self-governance frameworks to complement regulations and ensure AI deployment is aligned with company values ​​and regional regulations. Talent and Organizations: Organizations need to prioritize employee development, enabling employees to cope with technological changes and lead AI-driven value creation. Cybersecurity: AI-powered cyberattacks such as deep forgery, targeted phishing and data breaches are emerging threats. Organizations need to incorporate AI cyber risks into cross-organizational risk management. Digital Core: Deploying scalable AI strategies relies on building strong digital cores, including AI applications and digital platforms, data and AI "backbone" and physical and digital infrastructure. Report 2: Blueprint for Intelligent Economies

Artificial intelligence is promoting the Fourth Industrial Revolution and promoting economicEconomic growth and drive innovation in various industries and society.

However, many countries may not be able to enjoy the economic and social benefits brought by the smart age due to lack of energy-intensive AI infrastructure, advanced computing power, high-quality data and AI skills. Without intervention, technological innovation may not only fail to benefit the world equally, but will instead exacerbate the existing digital divide.

Report link: https://www.weforum.org/publications/blueprint-for-intelligent-economies/

Blueprint for Intelligent Economies, written by the World Economic Forum (WEF) and KPMG, aims to create inclusive growth through a comprehensive and collaborative approach.

The blueprint is divided into three interrelated levels:

Building foundations: including sustainable AI infrastructure, high-quality data sets, responsible AI models and effective capital investment channels. Developing a new intelligent economy: Reimagine the core activities of various industries by embedding intelligent applications, workflows, equipment and robots. People-oriented: enhance human potential through high-quality education, skills development and labor training, and build ethical, safe and secure guardrails.

The three strategic goals proposed by this blueprint:

The challenges of building sustainable AI infrastructure: high energy consumption, large-scale investment demand, unsafe AI supply chain, digital divide, and high-cost Internet equipment. Success stories: Microsoft signed an agreement with the United States to purchase carbon-free energy, reopening the Three Mile Island nuclear power plant to provide green energy for its data centers. The World Bank launched a $10 billion renewable energy program aimed at increasing renewable energy capacity by 15 GW. Key Competencies: Sustainable and responsible green energy, secure networking and resilient AI supply chains, high-speed connectivity, scalable and affordable computing power, AI-ready devices. Planning diverse and high-quality data set challenges: acquisition of high-quality data, data inequality, data ownership, AI technology advancement, trust in AI. Successful Case: Japan's Fugaku LLM is an open source large language model, with at least 60% of the training data coming from Japan. The UAE government has collaborated with G42 to develop the LLM "Jais" based on modern standard Arabic. Key Competencies: Available and accessible data, diversified and inclusive data, data ownership and sharing, data protection and privacy, data lifecycle management. Establish ethical, safe and secure guardrail challenges: mitigate bias, respond to changing regulatory environments, ensure AI security, implement responsible AI practices, AI intellectual property and legal uncertainty. Successful cases: The European Union's Artificial Intelligence Act divides AI applications into risk levels and sets requirements in high-risk areas. The United States and the United Kingdom cooperate to develop a shared AI model testing framework through the AI ​​Security Institute. Key Ability: Ethical guardrails, guardrails for responsible use, safety and safety standards, AI regulations, and legal frameworks. WEF

World Economic Forum (WEF) is an international non-governmental organization headquartered in Davos, Switzerland. It is also known as the "Davos Forum" for the first time in Davos, Switzerland. The World Economic Forum is committed to promoting sustainable global economic, social and environmental development through public-private cooperation.

As the forum continues to expand its influence and the level of participants, the World Economic Forum has been regarded as the "unofficial highest international economic talks" and is one of the most important unofficial gathering places for world politicians, business people and leaders of civil and social groups to discuss world economic issues. The corporate members participating in the forum include more than 1,000 large companies and enterprises in more than 70 countries and regions around the world.