Artificial intelligence has moved from hype to daily utility for many companies, catalyzed by the rapid adoption of ChatGPT and other chatbots. The technology now challenges traditional search habits, with the article noting that Apple is considering making artificial intelligence search engines like Perplexity available in Safari. Beyond search, people are already using chatbots to draft legal contracts, get medical advice, and create recipes and online content, signaling broad implications for both businesses and consumers.
Customer service is one of the most mature use cases. Airlines use artificial intelligence chatbots to handle questions and even rebook flights, while insurance company Lemonade relies on bots such as AI Jim and AI Maya to field policy and claims inquiries using an artificial intelligence decision layer for pricing. As early as 2018, AI Maya closed 19% of support requests end to end. Vendors are pushing automation further: Zendesk says its artificial intelligence can automate up to 80% of customer interactions, freeing human agents for higher-value work. Hiring is also being reshaped. Companies deploy predictive analytics to screen resumes and online behavior, and large language models help write job postings. LinkedIn uses artificial intelligence to assist recruiters with job descriptions, match job seekers to roles, provide writing assistance, and offer coaching to improve resumes, while Amazon’s Automated Applicant Evaluation compares candidate resumes to those of current employees in similar roles.
Marketing, sales, and recommendations are increasingly artificial intelligence driven. Marketers use automated media buying, personalization, and content generation, exemplified by Coca-Cola’s DALL-E contest that invited brand-themed digital art for potential display in Times Square and Piccadilly Circus. Recommendation engines at Amazon and Netflix suggest products and programming based on prior behavior, a key contributor to user satisfaction. Ad tech firms such as The Trade Desk employ artificial intelligence to select the most relevant inventory, reducing costs and improving return on investment. In sales, Microsoft’s Viva Sales and Salesforce’s Einstein GPT and Agentforce generate customized outreach, automate scheduling and responses, and analyze the large volumes of data from pitches and agreements. According to HubSpot, sales professionals save more than two hours a day by automating tasks with artificial intelligence.
Cybersecurity is another priority area. Artificial intelligence helps organizations analyze vast risk datasets, recognize patterns, and develop threat intelligence from sources such as papers, blogs, and news. CrowdStrike describes its Falcon platform as artificial intelligence native, using machine learning to generate alerts, test hypotheses, recognize distributed denial of service attacks, and support analyst decision-making with real-time data. More broadly, the article explains that artificial intelligence spans machine learning, robotics, natural language processing, computer vision, neural networks, and deep learning. With big technology companies investing tens of billions of dollars into data centers to power these workloads, and with options such as artificial intelligence exchange-traded funds offering diversified exposure, the business case is strengthening. The piece concludes that companies are likely to lean even further into artificial intelligence as tools improve, seeking cost savings and competitive advantage amid fast-rising demand.
