AI, Automation, Digital Finance, Blockchain could boost global GDP growth by over 2% per year

Based on McKinsey scenario modeling, they estimate automation could raise productivity growth globally by 0.8 to 1.4 percent annually.

* Deep learning could be worth $17 trillion. As deep learning advances, it should automate and improve technology, transportation, manufacturing, healthcare, finance, and more.

Digital Finance could add 6% to world GDP by 2025 which would be about 0.7% per year to GDP growth for 8 years. This GDP growth would also likely continue.

There are other disruptive technologies that could be worth trillions.

* Self driving cars and robotic taxis could be $2 trillion opportunity by 2030

* According to ARK, 3D printing may grow into a $41 billion market by 2020, and Wood noted a McKinsey forecast of as much as $490 billion by 2025.

* ARK thinks mobile transactions could grow 15x, from $1 trillion today to upwards of $15 trillion by 2020.

* By 2035, Wood said US GDP could be $12 trillion more than it would have been without robotics and automation—that’s a $40 trillion economy instead of a $28 trillion economy.

* Wood believes there’s at least one big area blockchain and cryptoassets are poised to break into: the $500-billion, fee-based business of sending money across borders known as remittances. That is just one market. Blockchain for health and other records, financial innovation and other areas should see a multi-trillion dollar impact

1 thought on “AI, Automation, Digital Finance, Blockchain could boost global GDP growth by over 2% per year”

  1. In exhibit e3 I presume the upper bars are % of current tasks that can be automated?
    But if 33% of all labor gets automated away, how does ‘managing people’ get off with only 9% reduction?
    That would seem to imply new not-easily-automated jobs for 24 of the 33% put out of work…?

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