{"id":3223,"date":"2025-06-18T19:10:08","date_gmt":"2025-06-18T19:10:08","guid":{"rendered":"https:\/\/easybee.ai\/?p=3223"},"modified":"2025-06-19T00:29:43","modified_gmt":"2025-06-19T00:29:43","slug":"we-were-off-by-billions-and-thats-a-good-thing","status":"publish","type":"post","link":"https:\/\/easybee.ai\/we-were-off-by-billions-and-thats-a-good-thing\/","title":{"rendered":"We Were Off by Billions. And That\u2019s a Good Thing"},"content":{"rendered":"\n

At EasyBee AI, we made a bold prediction last year.<\/h2>\n\n\n\n

We estimated that mid-sized businesses, defined as those with annual revenues between three million and 150 million dollars, would allocate seven percent of their IT budgets to AI by 2028.<\/p>\n\n\n\n

At the time, that number felt ambitious.<\/p>\n\n\n\n

A seven percent allocation meant a more than 100 percent compound annual growth rate in AI spending across the mid-market. It meant the total addressable market for AI in this segment could cross ten billion dollars globally.<\/p>\n\n\n\n

That forecast excited us. It justified our early investment in Agentic AI. It shaped our strategy. And as it turns out, it may have been too conservative.<\/p>\n\n\n\n

A New Reality, Much Sooner Than Expected<\/strong><\/h2>\n\n\n\n

IBM recently released a global study on enterprise AI adoption. One number jumped out immediately:<\/p>\n\n\n\n

Twelve percent of IT budgets are already going to AI.<\/p>\n\n\n\n

Not in 2028. Not even in 2026. Right now.<\/p>\n\n\n\n

That figure is expected to grow to over twenty percent by 2026. This is not a gentle trend line. This is a steep, accelerated curve \u2014 and it is unfolding faster than anyone projected.<\/p>\n\n\n\n

The study does not break down adoption by company size, but the implications are clear. Large enterprises might be driving some of this growth, but mid-sized companies are likely responsible for a significant share.<\/p>\n\n\n\n

Why? Because they have fewer layers of bureaucracy and greater urgency. They do not build AI labs. They buy outcomes. And when they find tools that deliver ROI quickly, they move fast.<\/p>\n\n\n\n

AI Is Shifting from Experimentation to Infrastructure<\/strong><\/h2>\n\n\n\n

The IBM report offers several insights that support this shift:<\/p>\n\n\n\n

    \n
  • Sixty-four percent of AI budgets are now focused on core business functions, not research and development<\/li>\n\n\n\n
  • Sixty-nine percent of executives say AI\u2019s primary value is improved decision-making<\/li>\n\n\n\n
  • Seventy-one percent expect AI agents to adapt autonomously to workflows<\/li>\n<\/ul>\n\n\n\n

    These numbers confirm what we have seen firsthand in the field.<\/p>\n\n\n\n

    AI is no longer a side project. It is not just a chatbot. It is not a co-pilot or a wrapper. It is operational infrastructure. And in particular, AI agents are becoming the backbone of modern business processes.<\/p>\n\n\n\n

    The Bet We Made at EasyBee AI<\/strong><\/h2>\n\n\n\n

    From the beginning, we chose to focus on Agentic AI.<\/p>\n\n\n\n

    Not because it sounded futuristic, but because it solved real problems. Our clients do not care about buzzwords. They care about outcomes. They care about reducing backlog, improving customer response times, converting leads faster, and scaling operations without bloating their teams.<\/p>\n\n\n\n

    AI agents let them do all of that.<\/p>\n\n\n\n

    This shift from experimental to essential is not a future vision. It is happening right now. And it is happening across industries, from self-storage to hospitality to government.<\/p>\n\n\n\n

    We were wrong in our prediction \u2014 but we were wrong in the right direction. The curve is moving faster than expected. And the opportunity is even bigger than we imagined.<\/p>\n\n\n\n

    If you are building for this future, or trying to figure out where you fit in it, we would love to talk.<\/p>\n\n\n\n

    Let\u2019s build.<\/p>\n","protected":false},"excerpt":{"rendered":"

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