After several years of experimentation and pilot programs, 2026 is shaping up to be the year enterprise AI moves from proof of concept to widespread adoption. Professionals who can leverage AI to achieve strategic objectives will undoubtedly be in high demand over the coming years. Programs like the online Master of Business Administration (MBA) with a concentration in Artificial Intelligence from the University of Southern Indiana (USI) help rising graduates master this exact skill set and prepare to lead at the intersection of business strategy and AI.
Experts at McKinsey found that 88% of organizations now regularly use AI in at least one business function, up from 55% in 2023, largely due to a dramatic escalation in AI’s capabilities. For aspiring business leaders, understanding this trend is no longer optional.
What Is Agentic AI and Why Does It Matter for Business?
Agentic AI describes autonomous systems that can plan, make decisions and execute multi-step tasks without continuous human input. Instead of requiring a back-and-forth, AI agents can take a business objective, break it into subtasks, decide which tools to use and execute the entire workflow on their own. The enterprise appetite for this technology is accelerating quickly.
Gartner predicts that 40% of enterprises will use task-specific AI agents by the end of 2026, up from less than 5% in 2025. McKinsey supports this prediction, with data showing that 62% of organizations are already experimenting with AI agents. One example of agentic AI in action is Salesforce’s Agentforce, which enables businesses to deploy autonomous AI agents across customer service, sales and marketing workflows by embedding directly into existing CRM software. However, this adoption is not without risk. Gartner cautions that over 40% of agentic AI projects risk cancellation by the end of 2027 due to escalating costs, unclear business value or inadequate risk controls.
Integrating agents into legacy systems can be technically complex, and many organizations underestimate the governance guardrails required to deploy autonomous systems responsibly. Agentic AI can be transformative, but only when paired with clear business objectives, strong oversight frameworks and the talent to make it happen.
How Multimodal AI and Enhanced Reasoning Are Transforming Business Functions
Many multimodal AI systems can process and integrate text, images, audio and video within a single workflow. When combined with enhanced reasoning capabilities, these systems can handle far more complex and nuanced business tasks than their predecessors. For example, OpenAI’s reasoning-focused models (the o-series) are designed to solve multi-step problems, weigh trade-offs and produce more reliable outputs for business decision-making. The practical implications span nearly every business function:
- Product development: AI-powered design, iteration and prototyping can compress timelines that previously took weeks into days.
- Data analysis: Multimodal AI can extract insights from unstructured data sources like images, PDFs and recorded meetings, not just spreadsheets and databases.
- Customer service: AI that understands context across communication channels (email, chat, phone, social) can deliver more consistent and personalized support without escalation.
These capabilities are forging the way for a new category of professionals. These individuals help organizations bridge the gap between AI technology and business strategy.
What Do These Trends Mean for Business Leaders and Their Careers?
AI and big data are the fastest-growing skill areas in employer demand, with technological skills projected to grow in importance more rapidly than any other category through 2030, according to the World Economic Forum’s Future of Jobs Report 2025. Data also shows that two-thirds of businesses plan to hire talent with specific AI skills by the end of the decade.
At the same time, McKinsey’s data reveals a market gap: Only about one-third of organizations have scaled AI enterprise-wide. The majority remain stuck in piloting or experimentation. This gap represents a significant career opportunity for rising business leaders who can help lead the transition from AI pilots to successful implementation. USI’s online MBA in Artificial Intelligence degree is built around this intersection, equipping working professionals with both a strategic business foundation and applied AI expertise employers seek.
Prepare to Lead the AI-Driven Enterprise With USI’s Online MBA
The pace of AI adoption in business is accelerating, and the window to build relevant expertise is narrowing. Professionals who position themselves at the intersection of AI capability and business strategy today will be the ones leading these initiatives tomorrow.
One of the best ways that young professionals can position themselves for success is by obtaining a specialized degree, such as USI’s AACSB-accredited MBA in Artificial Intelligence online degree. The program combines core business coursework with hands-on AI training in a fully online, accelerated format.
Learn more about USI’s online MBA with a concentration in Artificial Intelligence program.
