With the threat of climate change looming, new sustainable technologies have become increasingly prevalent. These technologies aim to reduce carbon footprints and help conserve the environment. According to Gartner, sustainable technology is listed as one of their top strategic trends for 2024, with an estimated opportunity to save the planet worth US$12 trillion1.

A recent report by McKinsey detailed the impact of generative AI across various industries. The report highlighted that generative AI could deliver economic benefits in the range of $2.6 trillion to $4.4 trillion annually2. This indicates that generative AI could be a driving force in the sustainable technology space.

One notable technology that combines multiple technologies like robotic process automation (RPA), artificial intelligence (AI), and generative AI is hyperautomation. Hyperautomation streamlines and scales automated processes, growth, and decision-making. By 2024, organizations are predicted to lower operational costs by 30% by leveraging hyperautomation technologies combined with redesigned operational processes1.

To combat climate change, it is crucial to deploy automation technologies in sectors like garbage recycling, electric vehicles (EVs), sustainable homes, and construction. These sectors can be at the forefront of deploying automation technologies and contribute significantly to a sustainable future1.

Furthermore, Gartner predicts that by the end of 2025, over half of the world’s population will be subject to at least one internet of behaviors (IoB) program – whether private, commercial, or governmental. This widespread adoption of IoB programs can further enhance the deployment of sustainable technologies and help reduce carbon footprints1.

Sustainable technology has become an urgent priority, and technologies like generative AI and hyperautomation are leading the charge towards a sustainable future. With the potential to save trillions of dollars annually and create a significant positive impact on the environment, it is crucial to embrace these technologies and their potential for economic and environmental benefits.

Sources:

Gartner ↩ ↩2 ↩3 ↩4

McKinsey Report (source: [https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#business-value]) ↩