普华永道-2018_AI预测报告（英文）-2018-25页-6mb

2018 AI Predictions Summary

Core Content

The 2018 AI predictions document outlines how AI is set to influence business strategies and workforce dynamics in the coming years. It emphasizes that AI will not immediately replace jobs but rather transform them, leading to a more efficient and collaborative work environment. The report also highlights the importance of data governance, upskilling, and the need for a new mindset in leveraging AI effectively.

Main Insights

• AI will impact employers before employment: AI will not eliminate jobs but will enhance them, enabling workers to focus on higher-value tasks. The concept of "centaurs" (human-AI collaboration) is presented as a key model for future work.

• AI will strengthen the economy: By 2020, only 3% of jobs are at high risk of automation. AI will help create new jobs and improve productivity in various industries.

• AI will be a tool for solving business problems: Organizations should adopt AI based on specific business needs, not just for the sake of innovation. AI can help automate tasks like billing, compliance, and customer service.

• New ROI measures are required: While direct metrics like cost reduction and revenue growth are important, indirect benefits such as improved decision-making and increased efficiency should also be considered.

• AI will help unlock data value: Many organizations struggle to derive value from their data. AI can help by processing and analyzing data more effectively, leading to better insights and decisions.

• AI requires clean, standardized data: AI systems, especially those using supervised machine learning and deep learning, depend on high-quality, bias-free data. Data governance and preparation are essential for successful AI implementation.

• Functional specialists will drive AI adoption: While data scientists are important, functional specialists (e.g., economists, engineers, accountants) will play a critical role in understanding and applying AI in their respective fields.

• Cybersecurity will be a major area of AI application: AI is already being used to detect and respond to cyber threats, but it also introduces new risks. Cybersecurity will be a key driver for AI adoption due to the necessity of protecting data and systems.

• AI will be a cybersecurity threat and solution: AI can be used by malicious actors to launch more sophisticated attacks, but it also offers powerful tools for defense, such as real-time threat detection and analysis.

• AI explainability will become a priority: As AI becomes more integrated into decision-making processes, organizations will face pressure to make AI systems transparent and explainable, especially in high-stakes areas like healthcare and finance.

• AI will be a global race: Countries like the US, UK, Canada, Japan, Germany, UAE, and China are developing national AI strategies. China is particularly aggressive in its investment and implementation of AI technologies.

• China is leading in AI development: With significant government investment and a strong presence in the AI industry, China is expected to gain the most from AI over the next decade, potentially achieving $7 trillion in GDP growth by 2030.

Key Industry Impacts

Implications for Organizations

• Collaboration is key: AI implementation requires multidisciplinary teams to ensure effective use and continuous improvement.

• Upskilling will be crucial: Organizations must invest in training employees to work with AI, not just in technical skills but also in understanding AI's capabilities and limitations.

• Cybersecurity will accelerate AI adoption: As AI becomes more prevalent, its role in cybersecurity will increase, both as a threat and a defense mechanism.

• AI explainability will be a major challenge: The black box nature of AI systems may lead to distrust, especially in high-stakes decision-making. Transparent and explainable AI will be necessary for broader acceptance.

• Government strategies will influence AI growth: Countries are developing national AI plans to secure their place in the global AI economy. China's government-led approach is expected to yield significant economic benefits.

Key Statistics

• 67% of executives believe AI will help humans and machines work together more effectively.
• 54% of executives say AI has already improved their big data capabilities.
• 27% of executives plan to invest in AI-based cybersecurity solutions in 2018.
• AI will be crucial for business success, with 72% of executives seeing it as a key business advantage.