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Charted: Changing Sentiments Towards AI in the Workplace

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A series of charts measuring how people feel about having AI in the workplace.

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Is generative AI the catalyst for the next industrial revolution? Or is it a flash in the pan? Is the entire workforce destined to become AI makers and managers?

It’s possible that one, all, or none of these options could be correct. But despite how fast large language models (LLMs) and tools have grown the popularity of artificial intelligence, one thing that is clear is that there are no quick or easy answers.

Amidst all this uncertainty, opinions on how we use AI in the workplace have evolved. Recent survey data from Boston Consulting Group (BCG) reveals how the labor force feels about AI in the workplace today, compared to how they felt five years ago.

The consultancy surveyed 13,000 people (C-suite leaders, managers, and frontline employees) in 18 different countries for the results, and divided their top two responses into five categories: Curiosity, Optimism, Concern, Confidence, and Indifference.

ℹ️ Data note: Since the top two feelings were selected and categorized per question, the percentages across categories do not total to 100%.

More Optimism, Less Caution Around AI

General curiosity about AI remains almost unchanged (at 60%) since 2018.

Meanwhile, despite how rapidly AI has advanced in the last five years, or perhaps because of it, more than 50% of workers surveyed are optimistic about AI’s impact on work, a 17 percentage point (p.p.) increase from 2018.

And though 30% remain concerned about AI, this fell 10 p.p. over the same time period.

Sentiment towards AI20182023
Curiosity60%61%
Optimism35%52%
Concern40%30%
Confidence17%26%
Indifference21%14%

Clearly, respondents perceive AI in the workplace far more positively now than they did in 2018. But that’s not all. The respondents’ confidence in how AI can influence their work has also increased (+5 p.p.) and indifference towards it has shrunk significantly (-7 p.p.).

Given the explosive growth in generative AI since the end of 2022—ChatGPT gets 1.8 billion visitors a month—it’s not surprising that workers are far more aware of AI compared to just five years ago.

Optimistic Leaders, Cautious Employees

As with any survey data, the devil is in the details. BCG notes that the sentiments between rungs on the company ladder differ sharply around AI.

A series of charts measuring how different positions in a company feel about having AI in the workplace.

While two-thirds of polled leaders are optimistic about AI in 2023, less than half of polled frontline employees shared the same sentiment. Frontline employees were also the biggest group that responded with concern (nearly 40%).

Importantly, frontline employees are almost as optimistic as they are concerned about AI in the workplace.

PositionOptimismConcern
Leaders62%22%
Managers54%28%
Frontline Employees42%39%

Managers were closer to leaders in their AI optimism, though some experts believe their jobs might actually be the most at risk of being replaced all together.

More Use, More Optimism Around AI

With ChatGPT reaching 100 million active users just two months after launching, it’s clear that more and more people are experimenting with generative AI.

In BCG’s poll, regular AI users—categorized as people who use it at least once a week for work—are nearly three times more optimistic than concerned about AI’s impact on their work in 2023.

AI Use LevelOptimismConcern
Regular62%22%
Rare55%27%
None36%42%

Even rare users are two times more optimistic than cautious, with the non-user category registering the most concern.

Which brings us to who these regular users are.

A series of charts measuring how people who use AI are more optimistic and less concerned about having AI in the workplace.

A staggering 80% of the leaders polled say they’re already regular users of AI, compared to 46% managers and 20% frontline employees.

While eyebrow-raising, these figures are not surprising.

People in leadership positions tend to have a mandate to stay ahead of the curve on current business trends, and along with their less strictly defined roles, have more freedom to try, use, and adopt AI tools while they formulate policies for their workplace.

PositionRegular UserRare UserNonuser
Leaders80%12%8%
Managers46%23%31%
Frontline Employees20%20%60%

At the same time, AI tools may not be green-lit en masse in many workplaces yet, preventing frontline employees from giving them a go.

So Is AI Coming For Jobs or Not?

Regardless of how definitively one can make a claim about artificial intelligence taking away people’s jobs, the survey respondents were unanimous that AI in the workplace will have some kind of an impact on their employment.

Pie charts showing how a vast majority of survey responders want upskilling to dealing with AI in the workplace.

Slightly more than one-third felt that their job is in jeopardy as of 2023, while an overwhelming 86% polled said they needed training to adapt to how AI will transform their work.

With how fast the field is currently transforming, upskilling could be the safest path to follow as the AI revolution unfolds.

Where Does This Data Come From?

Source: The AI at Work: What People Are Saying report from the Boston Consulting Group.

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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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