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Visualizing the Massive $15.7 Trillion Impact of AI

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For the people most immersed in the tech sector, it’s hard to think of a more controversial topic than the ultimate impact of artificial intelligence (AI) on society.

By eventually empowering machines with a level of superintelligence, there are many different possible outcomes ranging from Kurzweil’s technological singularity to the more dire predictions popularized by Elon Musk.

Despite this wide gap in potential outcomes, most technologists do agree on one thing: AI will have a profound impact on the society and the way we do business.

The Economic Impact of AI

Today’s infographic comes from the Extraordinary Future 2017, a new conference in Vancouver, BC that focuses on emerging technologies such as AI, autonomous vehicles, fintech, and blockchain tech.

In the below infographic, we look recent projections from PwC and Accenture regarding AI’s economic impact, as well as the industries and countries that will be the most profoundly affected.

Visualizing the Massive $15.7 Trillion Impact of AI

According to PwC’s most recent report on the topic, the impact of artificial intelligence (AI) will be transformative.

By 2030, AI is expected to provide a $15.7 trillion boost to GDP worldwide – the equivalent of adding 13 new Australias to the global economy.

A Geographic Breakdown

Where will AI’s impact be most pronounced?

According to PwC, China will be the region receiving the most economic benefit ($7.0 trillion) from AI being integrated into various industries:

RegionEconomic Impact of AI (2030)% of Total
China$7.0 trillion44.6%
North America$3.7 trillion23.6%
Northern Europe$1.8 trillion11.5%
Developed Asia$0.9 trillion5.7%
Southern Europe$0.7 trillion4.5%
Latin America$0.5 trillion3.2%
Rest of World$1.2 trillion7.6%
Total$15.7 trillion100.0%

Further, the global growth from AI can be divided into two major areas, according to PwC: labor productivity improvements ($6.6 trillion) and increased consumer demand ($9.1 trillion).

Industries Most Affected

But how will AI impact industries on an individual level?

For that, we turn to Accenture’s recent report, which breaks down a similar projection of $14 trillion of gross value added (GVA) by 2035, with estimates for AI’s impact on specific industries.

Industry2035 GVA (Baseline)2035 GVA (AI steady state)
Manufacturing$8.4 trillion$12.2 trillion
Professional Services$7.5 trillion$9.3 trillion
Wholesale & Retail$6.2 trillion$8.4 trillion
Public Services$4.0 trillion$4.9 trillion
Information & Communication$3.7 trillion$4.7 trillion
Financial Services$3.4 trillion$4.6 trillion
Construction$2.8 trillion$3.3 trillion
Transportation & Storage$2.1 trillion$2.9 trillion

Manufacturing will see nearly $4 trillion in growth from AI alone – and many other industries will undergo significant changes as well.

To learn more about other tech that will have a big impact on our future, see a Timeline of Future Technology.

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Technology

Ranked: Semiconductor Companies by Industry Revenue Share

Nvidia is coming for Intel’s crown. Samsung is losing ground. AI is transforming the space. We break down revenue for semiconductor companies.

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A cropped pie chart showing the biggest semiconductor companies by the percentage share of the industry’s revenues in 2023.

Semiconductor Companies by Industry Revenue Share

This was originally posted on our Voronoi app. Download the app for free on Apple or Android and discover incredible data-driven charts from a variety of trusted sources.

Did you know that some computer chips are now retailing for the price of a new BMW?

As computers invade nearly every sphere of life, so too have the chips that power them, raising the revenues of the businesses dedicated to designing them.

But how did various chipmakers measure against each other last year?

We rank the biggest semiconductor companies by their percentage share of the industry’s revenues in 2023, using data from Omdia research.

Which Chip Company Made the Most Money in 2023?

Market leader and industry-defining veteran Intel still holds the crown for the most revenue in the sector, crossing $50 billion in 2023, or 10% of the broader industry’s topline.

All is not well at Intel, however, with the company’s stock price down over 20% year-to-date after it revealed billion-dollar losses in its foundry business.

RankCompany2023 Revenue% of Industry Revenue
1Intel$51B9.4%
2NVIDIA$49B9.0%
3Samsung
Electronics
$44B8.1%
4Qualcomm$31B5.7%
5Broadcom$28B5.2%
6SK Hynix$24B4.4%
7AMD$22B4.1%
8Apple$19B3.4%
9Infineon Tech$17B3.2%
10STMicroelectronics$17B3.2%
11Texas Instruments$17B3.1%
12Micron Technology$16B2.9%
13MediaTek$14B2.6%
14NXP$13B2.4%
15Analog Devices$12B2.2%
16Renesas Electronics
Corporation
$11B1.9%
17Sony Semiconductor
Solutions Corporation
$10B1.9%
18Microchip Technology$8B1.5%
19Onsemi$8B1.4%
20KIOXIA Corporation$7B1.3%
N/AOthers$126B23.2%
N/ATotal $545B100%

Note: Figures are rounded. Totals and percentages may not sum to 100.


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Meanwhile, Nvidia is very close to overtaking Intel, after declaring $49 billion of topline revenue for 2023. This is more than double its 2022 revenue ($21 billion), increasing its share of industry revenues to 9%.

Nvidia’s meteoric rise has gotten a huge thumbs-up from investors. It became a trillion dollar stock last year, and broke the single-day gain record for market capitalization this year.

Other chipmakers haven’t been as successful. Out of the top 20 semiconductor companies by revenue, 12 did not match their 2022 revenues, including big names like Intel, Samsung, and AMD.

The Many Different Types of Chipmakers

All of these companies may belong to the same industry, but they don’t focus on the same niche.

According to Investopedia, there are four major types of chips, depending on their functionality: microprocessors, memory chips, standard chips, and complex systems on a chip.

Nvidia’s core business was once GPUs for computers (graphics processing units), but in recent years this has drastically shifted towards microprocessors for analytics and AI.

These specialized chips seem to be where the majority of growth is occurring within the sector. For example, companies that are largely in the memory segment—Samsung, SK Hynix, and Micron Technology—saw peak revenues in the mid-2010s.


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