Investments in AI + Future

Which industries are investing most and how is AI benefiting them?

Media and marketing based companies especially will increase their investments 90% on AI research and tools. These companies feel the technology’s data driven strategies and effectiveness is going to be a path for profitability for their company. Across all industries the technology is already being consumed and extensively used and it “marks the beginning of a new era of creativity and innovation.” AI is being invested in for its abilities to optimize business strategies, assist in generating marketing plans, study consumer analytics and much more in the media and marketing industries. Investments in the two sectors have increased significantly in recent years. From just 2023-2025 total investments raised from 14 billion to 21.7 billion, and this number is expected to exceed 100 billion in the next 5-7 years.

Other Industries that are considered to be in the top 5 of industries increasing their total investments in AI are financial services, healthcare, retail and transportation. All of these industries have increased investments by up to at least 72-96% in just the past year alone and this is just still the beginning stages of where this technology is looking to go. Not only does AI in these industries reduce a lot of costs, but also lessens the overall workload on the workforce drastically. Workers are now able to use AI as an assistant and maximize what they do with their time but they are not allowing their brain the ability to form its own thoughts. Dependence on AI.

All of these different industries are beginning to see benefits from the technology from their investments. In the industry of healthcare, the technology is used for diagnostics and imaging and operational efficiency. AI powered tools are able to assist in detecting different disease as well as keeping up with the repetitive operational practices like billing and scheduling for the practice. In the industry of marketing AI has benefited the workplace by enabling workers with predictive analytics, content generation and the ability to analyze large sets of data in a matter of seconds. Finally in the retail industry benefits from AI investments have been seen for keeping track of supply and demand, trends in the market and product suggestion based on your user activity for reaching a target market.

Record Setting Investment Numbers

Depicted on the Y axis is the amount in billions for total amount invested. The X Axis represents each year from 2020-2025.

Investments in AI continue to increase dramatically each year as you can see from the bar graph depicted above. In recent time AI is setting record numbers for the short impact it has had on different companies and investors. In just 5 years total investments have almost tripled and this trend is will continue to flow upward for the next 5-10 years to come. AI is still just at the beginning of its evolution and every investment brings the technology closer to maximizing its potential in the workplace.

What does the future of jobs look like?

Now that you know to what degree this technology is evolving among us, is it crucial to know what jobs in the market are at stake. Various jobs across different media and marketing sectors are becoming more involved with AI leaving jobs at risk. AI is rapidly changing the trajectory of the marketplace and raising major concerns about job availability for others. Some examples of jobs at stake are content creation with repetitive tasks, Data Analysis, Customer support and Market Research. With the increase in this technology there are various ways to prepare. 

Jobs involved in the marketing sector that are at risk are involving content generation, Data Analysis and Reporting with various marketing analytics and Marketing research. The technology already has the capabilities to complete the roles in these jobs in the most efficient way possible and in an almost perfect way. In some cases and in the technology's current state, it will only act as an assistant in doing repetitive tasks like emails and research to help employees spend more time on complex issues.