by Laura Stack, MBA, CSP, CPAE

“Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” ― Larry Page, co-inventor of the Google search engine.

Is there anyone in the Western world who hasn’t seen (or at least heard about) the Terminator or Matrix movie franchises? As much as we’ve loved our Tamagotchis, Furbys, and Roombas, we still worry our digital and robotic creations will grow beyond us so fast and so far they’ll learn to hate us or simply become indifferent to our presence, destroying us in the process. Even the late Stephen Hawking, probably one of the most intelligent people to ever live, worried it might happen.

Hawking aside, those who fear technology typically do so because they don’t understand it. This has occurred throughout history. Some cavemen probably rejected that newfangled spear-thingy—until it proved itself in action. Consider weaver Ned Ludd, who supposedly destroyed two stocking-knitting machines in 1779, afraid they would take his job. Some alarmists in the 1800s thought riding trains would kill them, because the speed would rip them apart or cause them to suffocate; and parents in the 1920s refused to let their children listen to the radios for fear it would “enthrall” them. Those fears proved groundless. In the 1980s, many people thought computers would replace them, when in fact they just made most of us more productive. This type of mistrust has also hampered the development of Artificial Intelligence (AI).

Computer scientists first proposed AI in the 1950s, though research stalled for decades starting in the 1970s, due to the fears so well illustrated by the abovementioned movies. Since the beginning of the 2020s, however, research in AI has boomed, with the resulting products now starting to revolutionize business… in a good way. Generative AI (GenAI), which can create new content based on prompts human users input, has proven especially productive.

Consider these good reasons to welcome these handy programs.

1. AI is easy to use. The hardest part is installing the program, and that’s not hard at all. When you’ve got your GenAI tool up and running, you can provide it with simple text prompts, telling it what to create or how to edit an existing text, image, song, or other “modality,” as the industry calls them. Some AIs can even convert one modality to another, like an image to a text.
   

2. AI can automate repetitive tasks. The ultimate goal of GenAI—contrary to popular belief—is to make jobs easier, not to replace them. GenAI is a tool, just like your computer, printer, phone, or other software. If you have repetitive tasks you take care of every day or week, like standardized reports, spreadsheets, or other routine documents, you can use GenAI to handle them. It’s also great for data analysis, research (much better than search engines), and administrative tasks. It can even organize your calendar, take care of some email, or schedule meetings.

3. AI works great for customer service. GenAI can offer customer service agents real-time recommendations on how to respond to customers during support calls. Such programs can also provide links to internal documents that explain technical issues. One study has shown that AI helpers can make customer support workers 14% more productive by it making easier to address customer issues. Less experienced and less-skilled workers saw even greater results from GenAI use, boosting their productivity by an average of 35%.

4. AI can help coders write software. In one study involving 70 experienced programmers who regularly coded an average of nine hours per day, half used a GenAI tool to help them perform a specific programming task, while the others coded without using AI at all. Those who used the AI tool finished in an average of 1.2 hours, while the control group took an average of 2.7 hours. That means the GenAI tool helped its users complete their tasks more than twice as fast (126%) as those who didn’t use the tool. Imagine your workers producing twice as much in a single week, just because they adopted a simple-to-use software program!

Moving Right Along

You may be thinking, “Generative AIs seem almost too easy to use.” Maybe so, but it’s poised to take productivity to a whole new level. Not so long ago, fears of triggering apocalyptic scenarios hamstrung efforts to develop AI for benevolent uses. But the recent business benefits are impressive. Some alarmists still scream about the perils of chatbots and virtual assistants, and fiction editors hate AI, for good reason. But it’s proven profitable and safe in business contexts, and it hasn’t taken over the world.

So far, so good.

© 2024 Laura Stack. Laura Stack, MBA, CSP, CPAE is known as The Productivity Pro^®. She is an award-winning keynote speaker, bestselling author, and noted authority on personal productivity. For 30+ years, she has given keynote speeches and workshops on increasing workplace productivity in high-stress environments. Stack has authored eight books, including the bestselling What to Do When There’s Too Much to Do. She is a past president of the National Speakers Association and a member of the exclusive Speaker Hall of Fame. To book Laura speak at an upcoming meeting or event, contact her at www.TheProductivityPro.com.