{"id":110418,"date":"2026-07-18T09:38:10","date_gmt":"2026-07-18T09:38:10","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/110418\/"},"modified":"2026-07-18T09:38:10","modified_gmt":"2026-07-18T09:38:10","slug":"is-artificial-intelligence-is-good-for-employees-business","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/110418\/","title":{"rendered":"Is artificial Intelligence is good for employees? | Business"},"content":{"rendered":"<p>Many business owners worry about introducing artificial intelligence tools in the workplace because they fear employees will push back. With so much talk (often from AI executives promoting their own products) about AI causing massive job losses, it\u2019s easy to see why. But that fear is misplaced.<\/p>\n<p>AI can actually help create jobs. That\u2019s not just good news for the world; it\u2019s also good for your company, especially when it comes to working with employees who are unsure about new technology.<\/p>\n<p>A recent study by Ramp and Revelio Labs, led by Ara Kharazian, Lisa Simon, and Ryan Stevens, examined over 21,000 U.S. companies by connecting their AI spending to workforce data. The study found that companies investing heavily in AI didn\u2019t cut jobs. In fact, those firms grew their workforce by about 10 percent after adopting AI. Entry-level positions increased by 12\u00a0percent among the biggest adopters. Companies that used AI less didn\u2019t see much change in employment, but they didn\u2019t lose jobs either.<\/p>\n<p>Of course, one study doesn\u2019t answer every question about AI and jobs. Ramp and Revelio have their own reasons for being interested in AI adoption, and the most positive results were seen in fields like information, software, internet, media, and similar industries.<\/p>\n<p>Still, the study is helpful because it didn\u2019t rely on surveys or guesses about which jobs might be affected by AI. Instead, it tracked real companies that bought AI tools and watched what happened next.<\/p>\n<p>The takeaway is that companies focused on growth benefit the most from adopting AI in a meaningful way. Kharazian described light use as something like giving everyone a basic LLM subscription, such as ChatGPT or Claude. That\u2019s nice to have, but not necessarily transformational. Heavier users were more likely to hire an AI leader or use dedicated software.<\/p>\n<p>AI isn\u2019t a magic wand that works on its own. It\u2019s more like a power tool. A power drill can\u2019t build a deck by itself, but a carpenter using one can work faster and do a better job.<\/p>\n<p>Building a deck is one thing, but building a company is a bigger challenge. Doug, who owns a home-services business in Williamstown, wanted to find more commercial leads. However, he didn\u2019t have time for tradeshows or networking events because he was busy running his business and taking care of homes.<\/p>\n<p>Doug found himself with plenty of AI lead generator options, including Click Geek, Service Titan, Housecall Pro, and Angi Leads. He picked one and used it to build a list of prospects, sort potential customers by type and location, draft initial emails, prepare call notes, and summarize every reply in his company\u2019s customer relationship system.<\/p>\n<p>Doug then hired a salesperson to manage the leads and brought on two more employees to support the new commercial services he added.<\/p>\n<p>As the pipeline grew, Doug hired a salesperson to handle the leads. With more proposals turning into jobs, he also needed another support staff member to keep up with scheduling, follow-ups, and customer communication. He added two more employees to help with the expanded commercial services.<\/p>\n<p>So what should other growth-minded owners do?<\/p>\n<p>Focus first on the work that brings in revenue. Don\u2019t start with a vague &#8216;AI transformation project.&#8217; Instead, ask yourself, &#8216;Where are we missing out because we\u2019re too slow?&#8217; Maybe leads wait too long for follow-up. Maybe proposals take days instead of hours. Maybe your top salesperson spends too much time researching instead of making calls. Or maybe your service team keeps answering the same questions every week.<\/p>\n<p>Next, set up one workflow. For a service business, this could mean using AI to prepare meeting briefs, draft initial reports, organize notes, and create follow-up tasks. For retailers or hospitality businesses, it might involve analyzing reviews, writing customer emails, creating event promotions, and spotting seasonal trends.<\/p>\n<p>You don\u2019t have to start from scratch. Many small businesses can benefit from tools already made for their industry, like scheduling software with AI follow-up, customer service systems with AI summaries, bookkeeping tools that spot unusual activity, marketing platforms with AI segmentation, or quoting systems that draft proposals. Bigger or more technical companies might use developer APIs from large language models to connect AI directly to their data and workflows.<\/p>\n<p>Choose one clear goal, like responding to web leads within five minutes, cutting proposal time in half, reducing missed follow-ups by 80 percent, or ensuring every service call is recorded. Train your team, check the results, and keep improving.<\/p>\n<p>Let\u2019s return to the employee concern. Some workers are anxious, and owners shouldn\u2019t ignore that. Address it openly and let your team know that AI isn\u2019t here to replace them but to help them, so customers can still count on their human judgment and relationships. If this approach works, your company will need more, not fewer, good employees like them.<\/p>\n<p>This message matches what the Ramp study found. Some tasks will disappear, and that\u2019s the goal: to let people focus on what they do best and what they find most meaningful.<\/p>\n<p>The companies that succeed won\u2019t be the ones that merely experiment with AI. They\u2019ll be the ones who make AI a regular part of their work.<\/p>\n","protected":false},"excerpt":{"rendered":"Many business owners worry about introducing artificial intelligence tools in the workplace because they fear employees will push&hellip;\n","protected":false},"author":2,"featured_media":110419,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,40005],"class_list":["post-110418","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-artificial-intelligence","tag-columnist"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/110418","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=110418"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/110418\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/110419"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=110418"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=110418"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=110418"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}