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Navigating Generative AI as an Older Worker

Harvard Business

McKinsey’s recent findings suggest that by 2030, 30% of tasks across the U.S. But what does this mean for those senior professionals who have dedicated decades to developing skills in a specific field? Generative AI has revolutionized the professional landscape. economy might be automated, up from 21% before generative AI.

Education 253
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Sustainable Supply Chains Reduce Environmental Footprint

Tom Spencer

For example, Unilever is working towards making all of its plastic packaging recyclable, reusable, or compostable by 2030. Nike has also developed the Nike Grind program, which recycles old shoes and manufacturing scrap into new products. Reducing packaging waste is a significant focus for many businesses.

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How Johnson & Johnson and American Express Are Developing Young Leaders

Harvard Business

Young leaders will have substantial opportunity to climb the corporate ladder — by 2030 , millennials alone will comprise three out of every four individuals in the U.S. workforce — and companies will increasingly grapple with how to accelerate the development of those individuals for leadership positions.

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From Lab to C-Suite: The Future of Life Sciences Consulting

Tom Spencer

This means there is likely to be huge demand for consultants with life sciences expertise to work on a range of projects from navigating the complex regulatory landscape to developing business growth strategies. It is predicted that AI-powered healthcare will become a $188 billion industry by 2030.

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Trends Shaping the Automotive Industry in 2022

Epicflow

For example, the European Green Deal involves achieving the following objectives: emissions from cars must be reduced by 55% by 2030, while new cars are expected to produce zero emissions by 2035. . The prospects for further EV market development are presented in the image below. [2] Connectivity: Further Developments .

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Technology Is Changing Transportation, and Cities Should Adapt

Harvard Business

McKinsey and Bloomberg New Energy Finance have estimated that in 50 metropolitan areas worldwide, a rapid transition to advanced mobility systems could yield $600 billion in societal benefits through 2030. Some have chosen a wait-and-see approach, opting to watch mobility trends and develop policy responses as needed as trends play out.

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How Competition Is Driving AI’s Rapid Adoption

Harvard Business

It finds that AI could (in aggregate and netting out competition effects and transition costs) deliver an additional $13 trillion to global GDP by 2030, averaging about 1.2% Even if a technology race develops, some companies will adopt rapidly, but others less so—and the benefits of AI will vary accordingly. A race between firms.

Cash Flow 125