AI
Decoding Google’s AI Ambitions (and Anxiety)
Decoding Google’s AI Ambitions (and Anxiety)
Anyone who’s experimented with ChatGPT can get a sense of the potential of generative AI—even in the technology’s earliest stages.
The hype around AI was rising throughout 2022, and has reached a fever pitch today.
We’ve seen hype cycles swell around specific technologies before. Blockchain, Metaverse, NFTs, the list goes on. It remains to be seen what tangible value is created after the heat dies down, but in the meantime, some of the world’s biggest companies are taking it very seriously.
Google—which internally reoriented itself around AI years ago—is at the forefront of this movement, so the recent letter published by Google CEO Sundar Pichai is consequential.
After all, billions of people use Google Search to learn about the world, and Alphabet is one of the world’s most valuable, powerful tech companies. But before we “read between the lines” of the letter, it’s worth revisiting the larger context that this letter addresses.
OpenAI Has Entered The Chat
Artificial intelligence has been chalking up a number of wins in recent months, but it was DALL-E Mini and ChatGPT that really allowed generative AI to burst into the public consciousness. In fact, ChatGPT became so popular in a short amount of time, that Google declared an internal “code red” to address the issue. Leaders at Google were well aware of the disruptive power of conversational AI because they were already testing their own models internally.
Microsoft recognized the potential as well, and invested $10 billion in OpenAI, which runs ChatGPT as well as a number of other publicly-accessible AI tools. Microsoft’s intention was to bring the magic of ChatGPT over to their Bing search engine—and perhaps steal market share away from Google.
This sets the stage for what we’re seeing today. Essentially every big tech firm is singing AI’s praises, and Microsoft and Google appear to be entering into an AI race.
The AI Race is Heating Up
If there were any questions about how seriously Google was taking Microsoft’s new partnership with OpenAI, recent messaging should remove all doubt. The letter above, by Sundar Pichai speaks volumes while never straying far from official talking points. First, here is the high-level messaging in Pichai’s letter:
- Google has already been in the AI game for years now
- Bard is going to make Google search more ChatGPT-like
- Google is only late to the party because they’ve been careful
On this last point: a message from the CEO, which reaffirms the company’s commitment to AI would normally coincide with a product launch, not one that will be released to the public “in the coming weeks”. This messaging highlights a key barrier that Google is facing. Fearing the “reputational damage” that could come from rolling products out prematurely, the company has been forced to move slower than the market now expects.
Google has already endured a painful misstep after reporters discovered an incorrect answer in a promotional video touting the conversational AI service, Bard. This simple mistake cost Alphabet $100 billion in market value—demonstrating how high the stakes are now that Big Tech’s AI progress is under the microscope.
The timing of this letter is also very telling. The letter was published the day before Bing rolled out new AI-enabled features to the public.
Let the jockeying for position begin.
Nobody Wants to be Left Behind
Google and Microsoft may be the biggest players battling it out in the AI space, but there are indicators all over that AI represents a massive technological shift that will impact a number of industries. From Fiverr’s “Open Letter to AI” to Baidu’s recent AI chatbot announcement, it seems that every day brings fresh news that fuels AI hype.
One thing’s for sure: AI will be integrated into digital tools in more noticeable ways. And for better or worse, we’ll all be participating the experiment.
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.

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.
Rank | State | Number of job postings | % of total |
---|---|---|---|
1 | California | 142,154 | 17.9% |
2 | Texas | 66,624 | 8.4% |
3 | New York | 43,899 | 5.5% |
4 | Massachusetts | 34,603 | 4.3% |
5 | Virginia | 34,221 | 4.3% |
6 | Florida | 33,585 | 4.2% |
7 | Illinois | 31,569 | 4.0% |
8 | Washington | 31,284 | 3.9% |
9 | Georgia | 26,620 | 3.3% |
10 | Michigan | 25,366 | 3.2% |
11 | North Carolina | 23,854 | 3.0% |
12 | New Jersey | 23,447 | 2.9% |
13 | Colorado | 20,421 | 2.6% |
14 | Pennsylvania | 20,397 | 2.6% |
15 | Arizona | 19,514 | 2.5% |
16 | Ohio | 19,208 | 2.4% |
17 | Maryland | 16,769 | 2.1% |
18 | Minnesota | 11,808 | 1.5% |
19 | Tennessee | 11,173 | 1.4% |
20 | Missouri | 10,990 | 1.4% |
21 | Oregon | 10,811 | 1.4% |
22 | Washington, D.C. | 9,606 | 1.2% |
23 | Indiana | 9,247 | 1.2% |
24 | Connecticut | 8,960 | 1.1% |
25 | Wisconsin | 8,879 | 1.1% |
26 | Alabama | 7,866 | 1.0% |
27 | Kansas | 7,683 | 1.0% |
28 | Arkansas | 7,247 | 0.9% |
29 | Utah | 6,885 | 0.9% |
30 | Nevada | 6,813 | 0.9% |
31 | Idaho | 6,109 | 0.8% |
32 | Oklahoma | 5,719 | 0.7% |
33 | Iowa | 5,670 | 0.7% |
34 | South Carolina | 4,928 | 0.6% |
35 | Louisiana | 4,806 | 0.6% |
36 | Kentucky | 4,536 | 0.6% |
37 | Nebraska | 4,032 | 0.5% |
38 | Delaware | 3,503 | 0.4% |
39 | New Mexico | 3,357 | 0.4% |
40 | Rhode Island | 2,965 | 0.4% |
41 | New Hampshire | 2,719 | 0.3% |
42 | Hawaii | 2,550 | 0.3% |
43 | Mississippi | 2,548 | 0.3% |
44 | Maine | 2,227 | 0.3% |
45 | South Dakota | 2,195 | 0.3% |
46 | Vermont | 1,571 | 0.2% |
47 | North Dakota | 1,227 | 0.2% |
48 | Alaska | 970 | 0.1% |
49 | West Virginia | 887 | 0.1% |
50 | Montana | 833 | 0.1% |
51 | Wyoming | 769 | 0.1% |
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.
Skill | Frequency (number of postings) | Frequency (% of postings) |
---|---|---|
Python | 296,662 | 37% |
Computer Science | 260,333 | 33% |
SQL | 185,807 | 23% |
Data Analysis | 159,801 | 20% |
Data Science | 157,855 | 20% |
Amazon Web Services | 155,615 | 19% |
Agile Methodology | 152,965 | 19% |
Automation | 138,791 | 17% |
Java | 133,856 | 17% |
Software Engineering | 133,286 | 17% |
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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