Automation in numbers: 11 statistics you need to know


Automating permeates most other contemporary IT trends. Cloud and cloud native? You talk about automation. Security and DevSecOps? Again, you’re talking about automation. Talents and culture? Yes, you are still talking about automation.

IT is both in the midst of its own automation transformation and also an indispensable enabler of organization-wide automation strategies. It’s actually hard to overstate the role automation plays in businesses and industries of all kinds today. (The “automate all things” same has a kernel of truth.)

[ How can automation free up more staff time for innovation? Get the free eBook: Managing IT with Automation. ]

The scope of automation extends beyond any industry, business function, function or technology. Let’s take a look at 11 stats (and more) that reflect the outsized influence of automation.

11 statistics on the state of automation

60 percent: The automation fears about job security are very real. In a PwC survey out of 32,500 workers globally, around six in 10 respondents (61%) expressed concern that automation (of all types) could jeopardize many jobs in the future.

[ Also read: Automation vs. IT jobs: 3 ways leaders can address layoff fears. ]

X = Y: I bet you didn’t think we’d be releasing algebra so soon, but here we are: X = Yes, where X represents “the time spent on common tasks at work by humans” and Yes represents “time spent on routine tasks at work” by machines. These figures will be more or less equal in 2025, depending on the World Economic Forum. Today, people spend even more time on these same tasks than machines.

The organization’s Future of Jobs report notes that this balance will not be distributed evenly, however, and that work that requires critical thinking and problem solving will always favor humans: “Algorithms and machines will be primarily task-oriented. information and data processing. and salvage, administrative tasks and some aspects of traditional manual labor. Tasks where humans are expected to maintain their comparative advantage include management, counseling, decision-making, reasoning, communication, and interaction.

97 million against 85 million: The same World Economic Forum report estimates that 85 million jobs will be displaced as a result of this shift in the division of labor, with more being shifted to machines. That said, the report also predicts the creation of around 97 million new roles as a result of the same move towards automation.

77%: Terms like reconversion and improvement It might sound fashionable, but the practices they represent are serious: the capabilities required for many of these new roles probably don’t exist today. PwC’s survey found that most people are ready to learn, then some: 77% of respondents said they were ‘ready to learn new skills or retrain completely’, and 40% of people said they have “successfully improved their digital skills” during the pandemic.

1/4: Although machine learning (ML) and other forms of artificial intelligence (AI) underpin much discussion of computer automation, it is still relatively early for this (large) category. About a quarter of O’Reilly’s respondents AI adoption in business 2021 The report indicated “mature” AI initiatives, defined in this context as having revenue-generating AI in production. This rate remains fundamentally unchanged from O’Reilly’s 2020 report. O’Reilly received three times as many responses with the same level of promotion, which the company attributes to the growing interest in AI in general.

[ Related read: Why automation progress stalls: 3 hidden culture challenges. ]

35 percent: That’s the percentage of organizations in the O’Reilly report that are actively evaluating AI, which means they’re doing a trial or proof of concept. Another 26% said they are “considering” AI but have not started any formal work. Only 13% said they don’t use AI now and don’t plan to do so for the foreseeable future.

1: The # 1 challenge for these organizations is hiring: there aren’t enough people with skills in AI, machine learning, and data science. You might think you’ve heard this phrase before, but a lack of AI skills only took first place this year, reversing cultural challenges (which fell to number four, suggesting people are starting to get used to the idea of ​​increasing automation).

“This shortage has been predicted for several years; we finally see it, ”wrote report author Mike Loukides, vice president of content strategy at O’Reilly Media.

58%: The pandemic appears to have accelerated automation initiatives rather than slowing them down: a 2020 global framework survey conducted by Deloitte saw a 58% increase in ongoing intelligent automation initiatives compared to the previous year.

73%: This means that nearly three in four executives (73%) said they had a smart automation initiative in the Deloitte survey in 2020.

Intelligent automation – what is it? Definitions of intelligent automation vary, but the term generally refers to a combination of technologies including, but not limited to robotic process automation (RPA), low-code or no-code tools, and AI technologies. The “smart” part usually reflects that technologies like RPA cannot learn on their own like a machine learning algorithm, for example.

88%: IT automation is not just about AI and ML, it also includes the extensive and growing roles that automation plays in modern environments. Think in terms of infrastructure as code, configuration management, security automation, container orchestration, and more. Kubernetes is now everyday computer jargon for this reason. In Red Hat‘s Kubernetes Security Status 2021 report, 88 percent of IT professionals surveyed said their organizations use Kubernetes, of which 74% use it in production.

74%: The State of Kubernetes Security report also found that nearly three-quarters of respondents (74%) have adopted DevSecOps. 25% of organizations said their DevSecOps implementation is at an advanced stage that integrates and automates security across their software pipeline.

[ Want to learn more about building and deploying Kubernetes Operators? Get the free O’Reilly eBooks: Kubernetes Operators: Automating the Container Orchestration Platform and  Kubernetes patterns for designing cloud-native apps. ]

[ How can automation free up more staff time for innovation? Get the free eBook: Managing IT with Automation. ]


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