I found an informative article from ABC News discussing the role of artificial intelligence (AI) in environmental sustainability. The article, titled “Mitigating climate change and preserving biodiversity: Several ways AI can be used to help the environment,” highlights various ways in which AI is being utilized to address environmental challenges.
Summary of the Article:
AI in Environmental Efforts:
AI is increasingly automating aspects of human life and is pivotal in efforts to mitigate climate change and preserve the environment. Its ability to compile, compute, and analyze vast amounts of data quickly is a significant advantage.
Applications in Environmental Sustainability:
Detecting Permafrost Melting:
AI is used in the Arctic for real-time tracking of permafrost thaw, combining satellite technology with AI for essential environmental monitoring.
Agricultural Efficiency:
AI aids in making agriculture more efficient and sustainable, particularly in fertilizer placement, irrigation, and crop monitoring.
Supply Chain Emission Reduction:
AI helps identify and mitigate greenhouse gas emissions throughout the supply chain, transforming manual data extraction processes into automated ones.
Ocean Preservation:
AI technologies are being developed for underwater exploration and monitoring, aiding in marine life protection and ecosystem health assessment.
Additional References:
Forbes Article on Environmental Sustainability and AI:
This article discusses how AI can optimize efficiency in weather prediction, reducing costs and carbon pollution. Read more on Forbes
Harvard Business Review Article:
It explores the opportunities at the intersection of AI, sustainability, and project management, highlighting how companies like Microsoft are leveraging this. Read more on HBR
Nasdaq Article on AI and Leadership in Sustainability:
This piece examines how AI, shaped by experts, can aid in making better decisions for sustainability. Read more on Nasdaq
I found a comprehensive report by McKinsey & Company titled “Generative AI and the future of work in America,” which delves into the impact of AI on the future of work, particularly in the United States.
Summary of the McKinsey Report:
AI’s Impact on Job Market:
The report examines the potential effects of generative AI on the job market in America, focusing on which jobs will be in demand and which ones may be at risk.
Automation and Job Shifts:
By 2030, up to 30% of hours worked across the US economy could be automated, a trend accelerated by generative AI. However, the report suggests that generative AI will enhance the work of STEM, creative, and business and legal professionals rather than eliminate jobs outright.
Sector-Specific Impacts:
The report highlights that office support, customer service, and food service employment might continue to decline due to automation. In contrast, there will be increased demand in construction, healthcare, and transportation services.
Workforce Development Needs:
The United States will require significant workforce development and more expansive hiring approaches. Employers will need to focus on skills and competencies rather than just credentials and should consider recruiting from overlooked populations.
Occupational Transitions:
An additional 12 million occupational transitions may be needed by 2030, with the economy potentially shifting toward higher-wage jobs. Workers in lower-wage jobs are more likely to need to change occupations, and most will require additional skills for successful transitions.
Additional References:
Forbes Article on AI and Work:
An article from Forbes discussing how AI is transforming the workplace and the types of jobs that are emerging as a result. Read more on Forbes
Deloitte Insights on AI and Work:
Deloitte offers insights on how AI is reshaping the future of work, including the skills that will be in demand and the challenges businesses may face. Read more on Deloitte
Accenture Report on AI and Workforce:
Accenture’s report explores how AI is impacting the workforce and the ways in which companies can adapt to these changes. Read more on Accenture
