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Visualizing the Critical Metals in a Smartphone

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A Breakdown of the Critical Metals in a Smartphone

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Visualizing the Critical Metals in a Smartphone

In an increasingly connected world, smartphones have become an inseparable part of our lives.

Over 60% of the world’s population owns a mobile phone and smartphone adoption continues to rise in developing countries around the world.

While each brand has its own mix of components, whether it’s a Samsung or an iPhone, most smartphones can carry roughly 80% of the stable elements on the periodic table.

But some of the vital metals to build these devices are considered at risk due to geological scarcity, geopolitical issues, and other factors.

Smartphone PartCritical Metal
Touch Screen indium
Displaylanthanum; gadolinium; praseodymium; europium; terbium; dysprosium
Electronicsnickel, gallium, tantalum
Casingnickel, magnesium
Battery lithium, nickel, cobalt
Microphone, speakers, vibration unit nickel, praseodymium, neodymium, gadolinium, terbium, dysprosium

What’s in Your Pocket?

This infographic based on data from the University of Birmingham details all the critical metals that you carry in your pocket with your smartphone.

1. Touch Screen

Screens are made up of multiple layers of glass and plastic, coated with a conductor material called indium which is highly conductive and transparent.

Indium responds when contacted by another electrical conductor, like our fingers.

When we touch the screen, an electric circuit is completed where the finger makes contact with the screen, changing the electrical charge at this location. The device registers this electrical charge as a “touch event”, then prompting a response.

2. Display

Smartphones screens display images on a liquid crystal display (LCD). Just like in most TVs and computer monitors, a phone LCD uses an electrical current to adjust the color of each pixel.

Several rare earth elements are used to produce the colors on screen.

3. Electronics

Smartphones employ multiple antenna systems, such as Bluetooth, GPS, and WiFi.

The distance between these antenna systems is usually small making it extremely difficult to achieve flawless performance. Capacitors made of the rare, hard, blue-gray metal tantalum are used for filtering and frequency tuning.

Nickel is also used in capacitors and in mobile phone electrical connections. Another silvery metal, gallium, is used in semiconductors.

4. Microphone, Speakers, Vibration Unit

Nickel is used in the microphone diaphragm (that vibrates in response to sound waves).

Alloys containing rare earths neodymium, praseodymium and gadolinium are used in the magnets contained in the speaker and microphone. Neodymium, terbium and dysprosium are also used in the vibration unit.

5. Casing

There are many materials used to make phone cases, such as plastic, aluminum, carbon fiber, and even gold. Commonly, the cases have nickel to reduce electromagnetic interference (EMI) and magnesium alloys for EMI shielding.

6. Battery

Unless you bought your smartphone a decade ago, your device most likely carries a lithium-ion battery, which is charged and discharged by lithium ions moving between the negative (anode) and positive (cathode) electrodes.

What’s Next?

Smartphones will naturally evolve as consumers look for ever-more useful features. Foldable phones, 5G technology with higher download speeds, and extra cameras are just a few of the changes expected.

As technology continues to improve, so will the demand for the metals necessary for the next generation of smartphones.

This post was originally featured on Elements

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AI

Visualizing the Top U.S. States for AI Jobs

Nearly 800,000 AI jobs were posted in the U.S. throughout 2022. View this graphic to see a breakdown by state.

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Visualizing the Top U.S. States for AI Jobs

Much ink has been spilled over fears that artificial intelligence (AI) will eliminate jobs in the economy. While some of those fears may be well-founded, red-hot interest in AI innovation is creating new jobs as well.

This graphic visualizes data from Lightcast, a labor market analytics firm, which shows how many AI-related jobs were posted in each state throughout 2022.

In total there were 795,624 AI jobs posted throughout the year, of which 469,925 (59%) were in the top 10. The full tally is included in the table below.

RankStateNumber of job postings% of total
1California142,15417.9%
2Texas66,6248.4%
3New York43,8995.5%
4Massachusetts34,6034.3%
5Virginia34,2214.3%
6Florida33,5854.2%
7Illinois31,5694.0%
8Washington31,2843.9%
9Georgia26,6203.3%
10Michigan25,3663.2%
11North Carolina23,8543.0%
12New Jersey23,4472.9%
13Colorado20,4212.6%
14Pennsylvania20,3972.6%
15Arizona19,5142.5%
16Ohio19,2082.4%
17Maryland16,7692.1%
18Minnesota11,8081.5%
19Tennessee11,1731.4%
20Missouri10,9901.4%
21Oregon10,8111.4%
22Washington, D.C.9,6061.2%
23Indiana9,2471.2%
24Connecticut8,9601.1%
25Wisconsin8,8791.1%
26Alabama7,8661.0%
27Kansas7,6831.0%
28Arkansas7,2470.9%
29Utah6,8850.9%
30Nevada6,8130.9%
31Idaho6,1090.8%
32Oklahoma5,7190.7%
33Iowa5,6700.7%
34South Carolina4,9280.6%
35Louisiana4,8060.6%
36Kentucky4,5360.6%
37Nebraska4,0320.5%
38Delaware3,5030.4%
39New Mexico3,3570.4%
40Rhode Island2,9650.4%
41New Hampshire2,7190.3%
42Hawaii2,5500.3%
43Mississippi2,5480.3%
44Maine2,2270.3%
45South Dakota2,1950.3%
46Vermont1,5710.2%
47North Dakota1,2270.2%
48Alaska9700.1%
49West Virginia8870.1%
50Montana8330.1%
51Wyoming7690.1%

The following chart adds some context to these numbers. It shows how the percentage of AI job postings in some of the top states has changed since 2010.

We can see that California quickly became the primary destination for AI jobs in the early 2010s, presumably as Silicon Valley companies began developing the technology.

California’s share has since declined, with a significant number of jobs seemingly moving to Texas. In fact, many tech companies are relocating to Texas to avoid California’s relatively higher taxes and cost of living.

The 10 Most In-Demand Specialized Skills

Lightcast also captured the top 10 specialized skills that were required for AI-related jobs. These are listed in the table below.

SkillFrequency (number of postings)Frequency (% of postings)
Python296,66237%
Computer Science260,33333%
SQL185,80723%
Data Analysis159,80120%
Data Science157,85520%
Amazon Web Services155,61519%
Agile Methodology152,96519%
Automation138,79117%
Java133,85617%
Software Engineering133,28617%

If you’re interested in a career that focuses on AI, becoming proficient in Python is likely to be a good first step.

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