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    Artificial Intelligence Will Add $2.4B to Kenya's Economy by 2030- Report

    Fred
    By Fred Obura
    - December 02, 2024
    - December 02, 2024
    AnalysisKenya Business newsTechnology
    Artificial Intelligence Will Add $2.4B to Kenya's Economy by 2030- Report

    Artificial intelligence (AI) holds immense potential to transform Kenya’s economy and could add $2.4 billion to Kenya’s economy by 2030, according to a report by Public First (Digital Opportunity of Kenya).

    • •Google products such as Search, Workspace, YouTube, Cloud, and Ads, is estimated to have generated $900 million in economic value in Kenya in 2023, empowering businesses, creators, and individuals across sectors.
    • •The report highlights AI’’s capability to drive innovation, optimise processes, and create opportunities for businesses and individuals.
    • •Other key findings indicate that knowledge workers saved 5.5 million hours annually using Google Search and Workspace, resulting in a $98 million improvement in productivity and that 300,000 young adults acquired new digital skills through Google Search in 2023, highlighting the positive impact of these tools on employment and productivity.

    “The research shows that tech investment will be a powerful catalyst for further growth and development across Kenya, especially if there is a focus on connectivity, cloud computing, and artificial intelligence,” said Amy Price, Director & Head of Technology Policy at Public First

    In 2021, Google committed $1 billion to accelerate Africa’s digital economy through initiatives that enhance internet access, support entrepreneurs, and foster innovation.

    “The insights from this report reaffirm the power of technology to drive sustainable growth and inspire us to continue working with partners to unlock Kenya’s full digital potential,” noted Agnes Gathaiya, Google Kenya Country Director.

    In the analysis, Google estimates that every $1 invested in technology in Kenya will return $5 by 2030. Technologies such as artificial intelligence, cloud computing, and machine learning are now seen as critical to the next phase of innovation.

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