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When it comes to artificial intelligence in business, the benefits start when companies learn how to use AI effectively at the organizational level. With that kind of scale, businesses can see real change in their operations, from bigger marketing returns to higher close rates to better client satisfaction.
Looking to see that kind of growth at your organization? Then, keep reading to learn how businesses can use AI effectively in 2025 and understand the common concerns business leaders have about using artificial intelligence in the workplace.
What are the benefits of using AI in business?
At an organizational level, the benefits of using AI in business include:
Creating alignment between departments: Business areas, like marketing and sales, often operate separately. With artificial intelligence, companies can create a bridge between these departments for sharing data, aligning efforts, and more.
Streamlining tasks and saving time: Across industries, organizations can use AI to save time. Whether it's automating meeting notes, candidate screening, or compliance checks, there are industry- and task-specific AI tools to help teams get their time back.
Enhancing decision-making: Departments and organizations can use platforms like ChatGPT and Claude to make more informed decisions. Platforms like these can analyze large datasets, provide deeper risk assessments, and more.
Optimizing costs: Most conversations around AI focus on costs. While some organizations see AI as a cost-cutting measure, it's best used for optimizing costs — meaning team members can focus their time (and the organization's money) on bigger initiatives.
Improving competitive advantage: When all the benefits of using AI in business come together, organizations receive a competitive advantage in the China Phone Number Data marketplace because the business uses its time and resources better than the competition.
What are some concerns about using AI in business?
chart 3 ai marketing concerns 1536x943
However, there are concerns about using AI in business, the biggest being:
Data privacy or ethics (49.5%)
Inaccuracies or biases with AI content (43%)
Cost of using AI tools (35%)
Only 20.5% of businesses cite zero concerns. Companies should have a healthy skepticism toward AI, though. That skepticism helps organizations (and team members) spot inaccuracies and biases and ensure the AI platform performs as expected.
It's also why using AI in business isn't about cutting costs but optimizing costs. You need experienced team members to monitor, judge, and (if needed) correct an AI model's output to ensure it complies with organizational and industry standards.
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