AI isn’t just an asset anymore. It’s become a necessity for companies to stay competitive and a core part of how many businesses operate and innovate.
A recent Infosys survey of over 1000 C-level executives across seven different industries reveals that, far from being an experimental technology, AI is in the middle or late-stage deployment phase for tech companies worldwide.
As the implementation of AI becomes increasingly widespread, many fear that AI is killing jobs in the tech world. Will AI-powered data analytics replace marketing experts? Will AI HR and accounting tools replace office staff? Will automated branding and website design replace human designers and web developers?
We shouldn’t dismiss this fear lightly. We see several examples of machines replacing humans in our everyday lives, from automated checkout counters replacing human clerks to automated highway sensors replacing tollbooth workers.
But I’d argue that more complex and serious AI tech is meant to assist and inform employees rather than replace them. AI technologies help employees in the same way tractors help farmers and keyboards help writers; they make their jobs easier and more efficient.
AI is killing business models
AI isn’t killing jobs, but it is killing something.
AI is disrupting traditional business models, changing the way people lead, manage tasks, and make decisions.
Integrated thoughtfully into business, AI detects data and patterns that would have otherwise remained hidden, making possible new insights that wouldn’t have been visible before. When trained properly in how to operate AI-powered programs and platforms, employees use AI to improve their performance and inform their decision-making.
Traditional ways of doing business are becoming obsolete as AI opens up new opportunities for innovation and frees up employees to do higher-value work.
AI is a disruptive force across industries
As American businessman Mark Cuban recently noted, “The world’s first trillionaires are going to come from somebody who masters AI and all its derivatives and applies it in ways we never thought of.”
That’s an accurate prediction, based on current trends. Today, the companies that stay most competitive are those that integrate AI into their business operations. The surge of AI technology has led to a complete overhaul of the way companies manage their business tasks, from the way they go about marketing to the way they secure their data.
In the design industry, for example, AI platforms can analyze data about which colors, shapes, typography, and other imagery perform best across different industries. This helps designers make informed decisions about their work, using real, hard data as a jumping-off point for their own design choices when it comes to company logos and brands.
AI has also become a disruptive force in the marketing industry with the advent of AI marketing software. Marketing just isn’t competitive anymore without the use of a data analytics platform to sift through big data and crunch the numbers into clear results. This doesn’t mean marketing professionals are no longer useful; on the contrary, AI equips marketing professionals with critical data about consumers and competitors, giving them the freedom to invent strategic consumer targeting solutions.
In the cybersecurity industry, too, artificial intelligence is rendering former detection methods obsolete. While threat numbers were once too large for security teams to handle on their own, AI technologies are able to detect and isolate nearly all threats, using real-time as well as predictive functions to block threats before they occur. This frees up time for security professionals to analyze more complex threat cases.
The common theme here isn’t just about industry disruption. It’s also about how in the areas where AI is disrupting business, artificial intelligence isn’t replacing humans. Instead, it’s improving the way employees do their work, empowering them with an augmented capacity for knowledge and innovation.
The future is artificial intelligence, but it isn’t only artificial intelligence. It’s a future in which people use AI tools to work and create, using data to inform their choices and expand their creative potential.
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