AI Adoption and Sector Shifts Through Job Openings Data

Artificial intelligence is changing the job market, prompting significant shifts in workforce needs across various sectors. By analyzing job postings, investment companies can gain insights into which industries are reducing their hiring for roles likely to be automated. This helps them understand potential revenue impacts and growth opportunities.

Detecting AI Adoption Trends
AI tools are increasingly integrated into business functions, ranging from data analysis to customer service and legal assistance. For example, paralegals, traditionally performing research and document review, are being replaced by AI systems that can quickly and accurately handle these tasks. This trend is highlighted in Nexford University’s article “How Will Artificial Intelligence Affect Jobs 2024-2030,” which underscores the growing use of AI in roles previously performed by humans. Monitoring job postings can reveal decreases in hiring for such roles, indicating a shift towards AI-driven solutions.

Strategic Insights for Investment
Investment companies must stay ahead of market changes to make informed decisions. A decline in job openings for traditional roles, such as customer service representatives or paralegals, in sectors like customer service, sales, and legal services can signal a move towards AI automation. This information is crucial for identifying industries at risk of revenue loss due to a lack of automation foresight, helping investors focus on more promising areas.

For example, companies like Google and Duolingo are already replacing human roles with AI technologies. Google has integrated AI into its customer care and ad sales processes, while Duolingo uses AI for content translation, reducing the need for human contractors.

Economic Impact of AI
The economic implications of AI are substantial. A McKinsey report predicts that AI could add $13 trillion to global economic activity by 2030, primarily through labor substitution and increased innovation. However, this growth comes with job displacement. Monitoring job opening trends helps investment firms gauge which companies and sectors are reducing their workforce due to AI, identifying potential risks and opportunities.

Recent examples include:

Understanding AI adoption through job postings allows investment companies to anticipate market shifts and focus on high-growth sectors. Sectors such as AI development, advanced manufacturing, and healthcare innovation are likely to attract more investment due to their proactive adoption of AI technologies. This foresight helps investors mitigate risks and capitalize on new growth opportunities.

Additional Data from the ADP National Employment Report
The ADP National Employment Report for June 2024 provides a comprehensive overview of job trends. According to the report, private employers added 150,000 jobs in June, marking a slowdown in job creation for the third straight month. “Job growth has been solid, but not broad-based. Had it not been for a rebound in hiring in leisure and hospitality, June would have been a downbeat month,” said Nela Richardson, Chief Economist at ADP​ (ADP Media Center)​.

This data underscores the importance of monitoring employment trends to understand the broader economic impact of AI and inform strategic investment decisions.

The chart titled “ADP Employment: Establishment Size Year-over-Year Percent Change” tracks the year-over-year percentage change in employment across different establishment sizes from 2011 to 2024. 

Here are some key points:

  • Trend Analysis: The chart illustrates fluctuations in employment growth across different establishment sizes over the years. A notable drop is observed around 2020, corresponding with the COVID-19 pandemic’s impact on employment. Post-2020, there is a marked recovery, with larger establishments (500+ employees) showing a more robust recovery compared to smaller establishments.
  • Recent Trends: As of June 2024, the growth rates have stabilized, though smaller establishments (1-19 employees) show slower growth compared to larger establishments. This indicates that larger companies are recovering and possibly investing more in automation and AI technologies, while smaller businesses are facing more challenges.

This chart helps visualize the employment dynamics and how different-sized businesses have been affected over the years, providing valuable context for understanding the broader economic landscape and the impact of AI on employment.

For more detailed insights and statistics, the full ADP Employment Report is available here.


By analyzing job openings data, investment companies can gain valuable insights into AI adoption trends and their impact on various sectors. This approach helps identify industries reducing traditional roles due to AI, enabling better-informed investment decisions. Utilizing datasets like those from PredictLeads can provide the detailed, real-time insights needed to stay ahead of market shifts, mitigate risks, and seize growth opportunities in an AI-driven economy.

  • Job Openings Data: Since 2018, there have been 166 million job openings detected.
  • Data Availability: Job openings data is available for 1.6 million websites.
  • Recent Trends: Last month, there were 5 million job openings, and over the past year, approximately 50 million job openings were recorded globally.
  • Active Job Openings: Currently, there are about 7 million active job openings uncovered by PredictLeads.

These statistics underscore the vast amount of data available to track AI adoption and its effects on the job market, providing investment firms with the necessary tools to make informed decisions.

💜How Blueprint Supercharges Sales with PredictLeads Data💜

Navigating the sales landscape with data isn’t just about collecting information – It’s about turning it into actionable insights. This is exactly what Blueprint has mastered using PredictLeads.

🤘Let’s dive into how they do it. 🤘

Data at Work: Real Insights, Real Growth

Blueprint uses PredictLeads to perform deep technographic scoring, analyzing data on 500 new technologies each week. This isn’t just about knowing what’s out there -> it’s about predicting market trends and identifying emerging competitors, providing a clear advantage in crafting timely and relevant sales pitches.

Jordan Crawford, the founder of Blueprint, puts it simply: “It’s not about having more data, but about having the right data that you can actually use.” This is where PredictLeads shines, offering depth with actionable insights.

Key Stats and Strategic Decisions

With PredictLeads, Blueprint isn’t just collecting data -they’re strategically deploying it.

Here’s how:

  • Job Openings Data: By analyzing the hiring trends of potential clients, Blueprint can pinpoint when companies are expanding and tailor their pitches to meet these growth phases.
  • Technology Adoptions: Tracking 636 million technology adoptions helps Blueprint stay ahead, suggesting when companies are likely to need their cutting-edge solutions.

A Relationship Built on Success

Blueprint’s partnership with PredictLeads goes beyond data. It’s about continuous support and collaboration, which Crawford describes as unparalleled. “PredictLeads always finds a way to make it happen,” he says, emphasizing the personalized support that helps Blueprint leverage data effectively.

For those eager to dive deeper into this use-case, you can check it out here.

If you have any questions, please don’t hesitate to reach out to us at:

We are here to help:)!

💜Stay Awesome💜
PredictLeads team

Understanding Pension Funds’ Strategic Shift to Private Markets with PredictLeads’ Data

As global pension funds like CalPERS increasingly redirect investments from public equities to private markets, the demand for precise, actionable insights grows significantly. This strategic transition, aimed at securing higher yields and reducing market volatility, is particularly highlighted by pension funds’ systematic moves towards assets like private equity and private debt.

The Role of PredictLeads’ Data in Navigating Private Markets

Job Openings Data:

PredictLeads’ Job Openings Data provides real-time insights into hiring trends directly from company websites, reflecting growth and expansion activities within specific sectors. An increase in recruitment, especially within sectors like private equity and private debt, often suggests robust sector health and promising profitability prospects. For pension funds diversifying their portfolios into these private markets, such insights are critical. They help align investment strategies with sectors that demonstrate strong growth potential, making this data invaluable for funds adjusting to the dynamic conditions of private markets. Additionally, pension funds can use this data to identify emerging industries or regions where new skills are in demand, providing an early indicator of economic shifts that could influence long-term investment decisions.

Business Connections dataset:

The Business Connections dataset from PredictLeads employs advanced image recognition to scan and categorize logos on company websites, unveiling key customer relationships often obscured in conventional financial reports. This dataset is especially valuable for pension funds engaging in scoring potential (startup) investments. Identifying major clients, particularly public companies, allows funds to assess a startup’s credibility and market traction. Companies with esteemed, stable clients can be scored higher, indicating lower risk and potentially higher reliability as investment opportunities. This insight is crucial for informed decision-making in public market investments.

Pension funds can leverage this data to assess the market reach and network strength of potential investments, ensuring a more comprehensive risk assessment and decision-making process. Furthermore, this dataset allows pension funds to monitor the customer base stability of current investments, providing ongoing risk management and insight into market position changes.

Broader Market Implications:

The shift of pension funds toward private markets not only reshapes their investment strategies but also influences broader market dynamics. By utilizing PredictLeads’ alternative data, such as Job Openings and Business Connections, pension funds can gain deeper insights into the risk and potential of their private market investments, which are crucial for informed decision-making in an environment where traditional metrics fall short. 

Moreover, this strategic use of alternative data helps pension funds anticipate market trends, adapt to economic changes, and identify investment opportunities early, maintaining a competitive edge in an increasingly complex financial landscape. Whether through pinpointing emerging sectors with job openings data or evaluating the robustness of potential investments with key customer analysis, these datasets provide critical insights that enhance and refine investment strategies.


As the trend of pension funds moving towards private markets continues to grow, the importance of alternative data becomes increasingly central. Datasets like PredictLeads’ Job Openings and Business Connections dataset provide essential tools that enable large institutional investors to execute their strategies with greater precision and confidence. By leveraging these alternative data sources, pension funds can more effectively navigate the complexities of private markets, aligning their investment approaches with the most promising opportunities for sustainable returns.

Got questions? Don’t hesitate to reach out at!

💜 Supercharge Your Sales Career: 1,000 New Opportunities Await! 💜

Hey everyone! 👋

We’ve got some exciting news for all you sales pros out there. Our team at PredictLeads has put together a list of 1,000 sales job openings.

We’re sharing it with you in a Google Sheet right here:

This list isn’t just any list. It’s especially useful for people selling LushaSalesforceLinkedIn Sales NavigatorHubSpotSalesIntel.ioLeadGenius, and other sales tools.

Here’s why you might find it handy:

  • See which companies are hiring for sales roles and might be interested in what you’re selling.
  • Use the data to make your marketing efforts more specific and effective.
  • Spot hiring trends that could lead to new opportunities for your business.

What can you expect in the shared file:

  • Job openings Title
  • Website domain 
  • Company Ticker 
  • Companies Meta Description 
  • & Much more

And if you’re really into data, we’ve got something special for you. We have a massive database with over 157 million job listings.
You can dive into this data or use our API to get the insights you need directly.

We’re making a new list of job openings perfect for people at big companies like PwCEYKPMG, and Accenture. Want to find a great role? Let us know what you’re looking for.

Got questions or want more info? Email us at 

💜 Stay awesome!💜

💜The Untold Story of Data Analytics in Boosting B2B Marketing💜

The digital marketing world is getting a major makeover thanks to AI and big data. It’s like having a super-smart assistant who knows exactly what your customers want, sometimes even before they do.

AI’s not just about making tasks easier – it’s about making marketing smarter!
Picture this: AI dives into job opening data and picks up on which industries are booming and what skills are in demand. This goldmine of info helps marketers craft campaigns that hit RIGHT WHERE THEY NEED TO.

The real magic of AI in marketing? Personalization. AI spots patterns in how users behave and what they like, so messages can be tailored just for them. No more spammy, one-size-fits-all ads. It’s all about sending the right message, to the right person, at the right time.

Predictive analytics is another ace up AI’s sleeve. By looking at trends, like which job sectors are heating up, AI can predict where the market’s headed. This means businesses can adjust their strategies on the fly, staying ahead of the curve instead of playing catch-up.

But, it’s not all smooth sailing. With great data comes great responsibility. Issues like data privacy and ethical AI use are “kinda” big. Plus, the success of AI-driven marketing hinges on the data’s quality.

In a nutshell, as AI tech evolves, its role in marketing only gets juicier. It’s all about digging into data-driven insights and riding the wave of personalized marketing. But, it’s crucial to play it smart and ethical. Get it right, and AI won’t just be a tool
>> it’ll be your competitive edge in nailing customer engagement.<<

At the World Economic Forum’s Growth Summit, economist Richard Baldwin made a great point: “AI won’t take your job IF YOU KNOW HOW TO USE IT.” Add some Good Data into the equation, and you’re golden. 🥇

Interested in seeing how PredictLeads’ Job Openings datasets can revolutionize your marketing and sales? We’d love to chat!

Reach out at for more info. 💜

Use Data Enrichment to Filter and Prioritize Prospects

A HubSpot survey found that More than 40% of salespeople say prospecting is the most challenging part of the sales process and at least 50% of your prospects are not a good fit for what you sell.* This is super frustrating!


Outbound sales efforts are often tedious using up a lot of time and resources and often chasing the wrong types of prospects. CRM’s and sales platforms provide a lot of insights into a prospect but these are often irrelevant or out of date. The reason for this is that the data they utilize is not being updated often enough, only uses a couple of data sources or the platform doesn’t have the capability to drill down enough or overlap the insights. 

That’s why data driven sales teams are turning to data to enrich companies and help them filter and prioritize leads. Not only do they continue to use platforms like Salesloft,, HubSpot, Clearbit  etc but they are taking it a few steps further and enriching their prospects even more. This gives them competitive advantage which helps them to increase reply rates and meetings with prospects. 

  1. Identify companies hiring

Finding which companies are hiring is a great signal because it’s likely that they are investing in people and resources. Sales teams use hiring data in two ways. A) to find companies with the most live jobs regardless of the job type of job or b.) finding companies hiring for particular roles. In the second instance, companies hiring for marketing are more likely to buy marketing automation and companies hiring for accounting are more likely to buy financial software. 

  1. Identify companies hiring for C level executives

Finding companies who are hiring for C level executives means that sales teams are more than a few steps ahead. This is because when a director, manager or head of a department joins a company, it’s likely that they will implement new changes, evaluate tools and resources and be open to change. Sales teams who look for these signals early secure meetings and get ahead of the line before their competitors, making this tactic a no brainer. 

  1. Resonating with a prospect

“Hi John, I’m reaching out because … um … because …”. Sometimes finding a good prospect is easy but reaching out in a way that will grab the prospect’s attention is tiring, time consuming and frustrating. We all know that it’s important to resonate with a prospect so that they are more likely to open and read your email but finding that hook is like finding a needle in a haystack. 

Data driven sales teams solve this by looking for newly available sales triggers like awards, new funding rounds, new partnerships, new integrations, hiring intent, companies they have in common with a prospect, latest acquisitions in their industry, new product offerings of their competitors etc. These are easy ways to create familiarity and show that you know something about their business. 

  1. Finding the Right Leads at Scale

Some sales reps cast their net too wide in an effort to attract as many prospects as possible and meet their quotas. Unfortunately, this often wastes time and creates low morale. Getting limited or no answers is frustrating and not a good feeling which ultimately reduces productivity. 

To avoid this, it’s important to have the right data to quickly figure out which prospects to pursue. Having good data means a good lead list which means good quality emails, a high response rate and more meetings booked. More and more sales teams are using the help of growth experts or growth support teams to help them identify the right leads to keep on track. Growth teams then utilize data to gain sales triggers and build targeted lead lists which increases conversion rates. 

PredictLeads data is one source of sales triggers, growth indicators and company intelligence which helps sales teams and sales platforms gain a competitive advantage. Datasets like Jobs, News Events, Technology, Key Customers/Connections, Products and Website Evolution are all being used to identify new opportunities and stay ahead of the game. These are available through API, Webhooks or Flat Files and can be accessed daily, weekly, monthly or quarterly.

Contact to dive deeper into more ways that company intelligence data can help enhance your use case.

Case Study: InReach Ventures & PredictLeads

InReach Ventures uses technology to help scale venture capital and make
investments in early stage startups throughout Europe. They built their own
proprietary software and developed a new model of investing to discover and invest in the most promising startups.

There’s a few major data challenges VC’s often face including data quality and the
time, effort and cost it takes to acquire or crawl data.

Here is a short interview with Ben Smith the Co-Founder / Partner / CTO of InReach Ventures and how PredictLeads company intelligence data helps InReach Ventures discover new companies and track growth signals for companies of interest.

How do you identify growing companies?

“InReach combines data from lots of different data sources. Some of that is around signals on how a company is performing like PredictLeads data, which helps us to find startups from all over Europe. This data, along with other types, allows us to look at how companies are growing, whether they’re growing their team, if they’re getting new customers or new business connections or partnering with different companies. “


Are there any specifics on how PredictLeads data is being used?

“With job postings in particular, outside the general idea that a company is growing positively, it gives us an idea whether there is real substance behind a company. Seeing that a company has a product and engineering DNA and are looking to invest more in it is a positive.”

What challenges were you able to overcome with PredictLeads data?

“It’s all about how best we leverage our own product and engineering resources. Having the InReach team focus on what we’re good at and working with partners that are better than us in areas is an important point of leverage.”

Why did you decide to subscribe to PredictLeads data?

“PredictLeads helped us by doing some of the work that we had always planned but never been able to prioritise. Finding news events around a particular company and identifying company customers through logos/connections is really interesting for us and also it’s something that takes significant time and effort to get right.”

What’s your view on the VC industry using data and what are the biggest challenges on the horizon in the industry?

“The value of data, machine learning and a data driven approach to capital is an ever growing trend. The point of venture capital is to fund innovation and how much innovation is happening in venture capital in the past 10 years is very limited. I think there is a change now where data and software is being seen as a way for venture firms to innovate their model. The issue that traditional VC firms first face is that culturally at their core, they are not a technology firm but a professional services organisation. Where we think we have an advantage is that we started as a technology, product and engineering organisation, taking a very data driven approach to venture capital. That’s where we think we will long term hold the advantage because we started doing this earlier. Traditional venture capital will start to utilise data over time, but at their core they are not tech or engineering organisations. Short term, data and tech will play a broader role in terms of the whole industry using it as it’s becoming more and more of a buzz and as data is becoming more demanded.”

What are some of the trends in Venture Capital?

“My co-founder and Investment Partner Roberto layed out the the data trend in VC well in his blog post: The Full Stack Venture Capitalist

How do you see PredictLeads to help you achieve your long term goals?

“Two things PredictLeads does and will continue to do is that it helps us discover that a startup exists in the first place and then tells us whether there’s something interesting happening that we might want to talk to them about.”

Company intelligence data in your Sales enablement platform

You’re already aware that the more insights and data you have on your prospects, the better. Exactly how could you take advantage of this data and how could it be integrated into your sales enablement platform?

Sales enablement platforms are without a doubt incredibly valuable to sales teams. They have endless use cases as illustrated in the “SalesTech Landscape” below – such as engaging clients with smart messaging tools, improving productivity with easy to use sales resources, identifying leads and scoring them, and of course, the CRM that helps you stay on top of customers and prospects.

In the CRM, all the information you have on your customers should be tracked, which can be made manually by the SDR itself or automated using a 3rd party system. Data like company name, contact information and demographics is usually logged into the CRM and creates a long lead list of prospects. For sales teams to become successful they usually need more information than this. Here’s how sales intelligence like company intelligence data can enrich sales enablement platforms and improve the performance of SDRs using it:

Personalized Outreach

All SDRs have heard the importance of being personal. No prospect wants to listen to some robot pitching their idea without knowing a single thing about them, their company or understanding what value their product can give them.  

PredictLeads can provide insights to increase Personalization such as: 

  • News Events alerts like “Company X receives Y Award” can give you an icebreaker to open up the conversation by congratulating them and letting them know you did your homework. 
  • Key Customers data insights can help you identify if you and the customer share the same partners or clients to build familiarity and trust. 

Sales Triggers

Imagine you have this very long list of leads in your CRM. You start making phone calls from the top but cannot seem to move the deal forward even though you’re having great rapport with prospects. The most likely reason is you’re not reaching out to the right prospects, the ones that are in the buy mode. Companies are not always looking to invest in products for many reasons. Maybe they’re already satisfied with what they have, or they don’t  currently have the budget to invest in new software or the product that you’re selling. With sales triggers you can identify companies with signals indicative of growth – meaning the company is more likely to invest. 

Examples of Sales Triggers PredictLeads provide are: 

  • Company signs new client.
  • Company launches new product. 
  • Company received financing.
  • Company increases headcount. 
  • Company made a new integration. 
  • Company expands facilities.

Targeting Leads

When sourcing for leads, most CRMs provides search functions with filters that help you target the right prospects. With more company data you can advance these search filters to create a more targeted approach. The more filters you can use, the better you can target prospects matching your ideal target persona.

How PredictLeads data can be used as filters for Targeting: 

  • Technologies used in the company can help you identify prospects that are more likely to have an interest in buying your product. For example, if you’re selling a Salesforce extension product you’d want to target companies that are actually using Salesforce. 
  • Companies Hiring for X category, if you’re selling a Marketing automation product you can filter companies hiring for Marketing category as they’re more likely to have a need for your product. 

These are just a few examples on how company intelligence data can be integrated into your CRM or other sales enablement tools, and I’m sure there are hundreds more creative ways. One thing is for certain though – sales teams will benefit from using this data, because it’ll be doing all the research for them. This means that they can focus on what brings them most value – selling.


Hiring intent data during pandemic

PredictLeads took the data for 5000 US based companies from different sectors and aggregated hiring intent data for each of the sectors. Our goal was to review how hiring intent correlates with pandemic consequences.

US states started pandemic lockdowns on March 19th and by mid April 90% of US population were under some form of lockdown.

Below we share three industries and how they were affected by Covid19 during this period and after.

For the IT industry our data shows downward trajectory of active job openings started on March 25th. On this day 20,000 job openings were slashed from the IT industry.

They were further decreased by nearly 130,000 job openings till May 28th 2020.


US unemployment rate rose from 3.8% to 4.5% in March. During last week of March 47,000 jobs were cut per PredictLeads data. In March the total number of job openings in the IT industry decreased by 6.8%.


US unemployment further rose in April to a record high of 14.4% during which 70,000 additional job openings were delisted in the IT industry alone – a staggering 12.8% decrease.


Data shows 51,000 job openings were removed in May (1st-28th). If there would be linear correlation between job listings and unemployment rate, this would suggest unemployment rate will further increase to ~21% by the end of Month of May. Up till now this means a 10.1% decrease in listed job openings.

Information Technology – eg. software & services, computer hardware, IT services …

Similar trends are seen for the Consumer Discretionary and Industrials industries as seen from below two graphs.

Consumer Discretionary – non essential goods eg. leisure products, entertainment, sporting, restaurants …
Industrials – finished products that can be used for construction and manufacturing industry

Covid19 definitely has a big impact on Hiring Intent.

If you’d like to get more detailed data on anything Hiring related please check out our APIs at or contact us at and we’ll be happy to help.


Introducing Key Customer Data

PredictLeads now provides four main datasets. News Events, Hiring Intent, Technologies and Key Customer data.

Key Customer data is our newest addition. As the name implies it provides key customer data for a given company. Eg. who are their customers, partners, sponsors, vendors, investors etc. We’re able to get this data by searching through news articles, blogs, case-studies pages, testimonials, “Our customer” sections and more.

We go as far as to use image recognition to connect a logo on a given website to a domain name it belongs to.

Key Customer data is served via clean APIs, with same structure as our other three endpoints. We follow best practices from

Besides using APIs data can also be provided via Flat Files or Webhooks.

If you’re interested in checking it out simply sign up here: and you’ll find an API key in the settings.

Documentation for the Key Customer data can be found here:

For more details please reach out to and we’ll be happy to help!

Cheers, Roq

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