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 FASHION SUSTAINABILITY REPORT: REUSE AND REGULATIONS

 

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Get an advanced understanding of the legislation presented in the report and how it's shaping the future of sustainability in fashion...

As regulations and legislation become more stringent, the bar for sustainable practices in fashion has been set higher. This shift aims to discourage companies from compromising on ethics in pursuit of higher profit margins.

This report serves as your initial manual to understanding the broader impact of these developments on the industry and on your business.

AI'S TOLL ON THE ENVIRONMENT 

Academics at Cornell University published research that shows that the training of GPT-3 alone—without any public-facing use— resulted in 552 metric tons of CO2 emissions. For frame of reference, the average household in the U.S. creates about 7.5 metric tons of CO2 in one year.

The CO2 emitted by training GPT-3 for 14 days is equivalent to the average U.S. home’s emissions for 73 years.

"Collaboration between government and industry will be crucial as AI development continues."

-Megan Lorenzen, director of climate and energy at Salesforce

Read more about AI's carbon footprint on page 11

AMERICAS ACT

March saw the introduction of landmark legislation aimed at harnessing the economic potential of the Western hemisphere—and the proposal includes billions of dollars in incentives to foster circularity in the fashion sector.

Most notably for the fashion industry, the Americas Act earmarks

$14 billion in incentives to accelerate innovation in circular apparel, footwear, accessories, and home textiles,

including models that promote reuse, repair, rental, and recycling. Activities that support those efforts, like the collection and sortation of post-consumer goods and reverse logistics, would also receive funding under the plan.

What could the Americas Act mean for you? Read more on page 19

Business success amidst the evolving sourcing landscape hinges on a solid grasp of the nature and reasons behind these changes to effectively adapt and excel.