Gartner Inc. predicts that by 2026, forty percent of enterprise applications will feature task-specific artificial intelligence agents, a significant increase from less than five percent in 2025. This shift is part of a broader digital transformation trend, as agentic AI is expected to drive approximately thirty percent of enterprise application software revenue by 2035, surpassing four hundred fifty billion dollars. According to Anushree Verma, By the end of 2025, nearly all enterprise applications are expected to incorporate AI assistants, which will then evolve into independent agents handling complex tasks by 2026.
Artificial intelligence-enabled personal computers are projected to claim over 50 percent of the global PC market by 2026, with approximately 143 million units expected to ship next year. According to Gartner Research, AI personal computers will account for 31 percent of the market in 2025, growing from just 5 percent in 2023 to 94 percent by 2028. Despite facing market hurdles, such as high costs and security concerns associated with cloud deployments, businesses are increasingly adopting AI on personal computers. Ranjit Atwal, a senior director at Gartner, emphasizes that while adoption is slowing due to tariffs and market uncertainty, users are investing in AI personal computers to prepare for the growing integration of AI technologies. A recent survey by Forrester Research revealed that over 60 percent of U.S. adults are inclined to wait for prices to decrease before considering a purchase, highlighting the cautious approach many consumers are taking.
And two perspectives. A recent study by Techaisle highlights a significant shift in artificial intelligence adoption among small to mid-market businesses, emphasizing the importance of strategic consulting over mere tool acquisition. The research, which surveyed 2,400 firms, reveals that companies are increasingly seeking comprehensive services that cover the entire lifecycle of AI implementation, from strategy development to complex integration. Key findings indicate a strong demand for GenAI consulting and strategy services, with businesses prioritizing the identification of specific use cases to maximize the impact of AI. Additionally, organizations are focused on establishing frameworks for responsible AI use, addressing concerns related to data privacy and ethical considerations. This marks a maturation in the AI services market, as firms recognize the need for tailored solutions that fit their unique operational needs rather than relying on generic models.
Gene Marks over in Forbes argues that the narrative around small businesses adopting artificial intelligence may be misleading. While a Goldman Sachs report states that 68 percent of small business owners claim to be using AI, many are merely experimenting with tools like chatbots for tasks such as email drafting and contract review, rather than fully integrating AI into their operations. The article highlights that, despite reports from various sources indicating a surge in AI adoption—such as a U.S. Chamber of Commerce study showing an increase from 23 percent in 2023 to 58 percent in 2025—actual usage of AI in meaningful business processes remains limited. Concerns over cost, reliability, and security are significant barriers for small business owners, who are cautious about investing in technology that has not yet proven its return on investment. The piece concludes that true AI adoption, which would involve more substantial automation and operational changes, is still in the early stages for most small businesses.
Why do we care?
Here’s the latest update on the AI hype cycle. Gartner says by 2026, 40% of enterprise apps will have AI agents, and AI PCs will be half the market. Sounds great—but let’s be real. SMBs aren’t exactly stampeding to AI. They’re dabbling with chatbots, maybe drafting emails, but not re-engineering their business.
That’s where Techaisle’s research is useful. What smaller firms really want isn’t another tool—they want a plan. Strategy, integration, guardrails. Not “turn it on and hope.” And Marks is right—those adoption surveys? Half the time they mean “we tried ChatGPT once.” That’s not transformation.
And let’s be blunt—enterprises are racing ahead while SMBs are still poking at ChatGPT like it’s a toy. That gap is only getting wider, and vendors shouting “AI everywhere” don’t solve it. If providers don’t step in to turn experiments into real workflows, smaller firms risk burning cash on shiny tools with nothing to show for it. This is where IT providers can make money—not by selling shiny AI add-ons, but by helping clients figure out what’s real, what’s worth it, and how to do it safely. That’s the real opportunity, and I’m starting to hear stories from the field of those doing it.