by Paul McCrea

Three years ago, most people still thought of AI as “something big tech is doing.”
Today, it’s the thing quietly sitting in everyone’s browser tabs.

From ChatGPT and Canva to Midjourney, Synthesia, Zapier and beyond, AI apps have moved from novelty to everyday infrastructure in both business and personal life. The question is no longer “Will AI matter?” but “How fast will adoption deepen from here?”

Let’s look at where things stand right now—and where adoption is likely to be 12 months from now.

Where Business Adoption Is Today

1. Most companies say they’re using AI… at least somewhere

Several large surveys now show that AI is present in most organizations, even if it’s not yet deeply embedded:

  •  One global analysis found 78% of companies report using AI in their operations, and over 90% either already use it or are actively exploring it. Exploding Topics
     
  •  A recent McKinsey survey reports 88% of respondents say their organizations use AI in at least one business function, up from 78% a year earlier. McKinsey & Company
     

So AI is no longer a fringe experiment. It’s in the stack. But there’s a catch.

2. “Using AI” ≠ “AI fully integrated”

High-level adoption doesn’t mean companies have truly transformed how they work. A 2025 enterprise report estimates that only about 5% of enterprises have generative AI genuinely integrated in workflows at scale; most are still in pilot, experimentation, or departmental use mode. MLQ

In other words: AI is everywhere, but deep, systemic use is still rare.

3. Employee-level usage is growing fast, but uneven

Zoom in to the individual worker level and the picture sharpens:

  •  PwC’s 2025 “Hopes and Fears” survey found 54% of workers across industries used AI in the last 12 months, and 14% use generative AI tools daily at work. PwC
     
  •  Gallup reports that 27% of white-collar employees now frequently use AI at work, up 12 points in just a year. Gallup.com
     

In Canada specifically:

  •  A KPMG survey found 51% of Canadian employees use generative AI at work, up from 22% in 2023, and 73% use it daily or a few times per week. KPMG
     

Employees who do use AI are feeling real benefits:

  •  One survey of office workers found 86% say AI makes them more efficient, with reported time savings of about 55 minutes per day on average. Canadian HR Reporter
     

That’s exactly the type of time savings our course leans into.

4. Business-level adoption is still “early” in many sectors

If we narrow the lens to AI used directly in producing goods or delivering services (rather than just internal productivity):

  •  Statistics Canada reports that 12.2% of Canadian firms were using AI in production or service delivery in the 12 months to Q2 2025—double the 6.1% a year earlier. Statistics Canada+1
     

So the curve is steep even if the level is still early-stage.

Personal Use: AI as a Daily Companion

While organizations are cautiously rolling out AI policies, individuals are racing ahead.

1. Over half of adults are now using generative AI

A U.S. survey by economists at the St. Louis Fed found that generative AI adoption among adults 18–64 jumped from 44.6% in August 2024 to 54.6% in August 2025. Federal Reserve Bank of St. Louis

That’s a 10-point rise in just 12 months, and the curve is still pointing up.

2. Personal use is growing faster than work use

The same research shows:

So people are exploring AI at home even more aggressively than at work—writing, researching, planning, and learning.

Open AI’s own analysis of ChatGPT usage lines up with this:

  • Roughly 30% of consumer ChatGPT usage is work-related, and about 70% is non-work/personal, with both categories still growing. Open AI
     

3. ChatGPT and friends are becoming “default tools”

Global usage statistics suggest that AI has crossed the “early adopter” boundary:

  •  A 2025 digital report estimates that over 1 billion people now use AI tools, and that monthly visits to chatgpt.com more than doubled in a year—from 2.63 billion in August 2024 to 5.85 billion in August 2025. DataReportal – Global Digital Insights
     
  •  Among people using AI at home, one survey found over 80% use ChatGPT, and around 70% of workplace AI users also rely on it. Exploding Topics
     

This isn’t niche anymore; it’s infrastructure.

What This Means for the Next 12 Months

Nobody has a crystal ball, but the trends are strong, recent, and remarkably consistent. Based on the growth we’ve just seen, here’s a grounded one-year forecast for AI app adoption by late 2026.

1. Overall individual adoption: from ~55% → ~60–65%

With generative AI adoption among adults already at 54.6% and rising ~10 percentage points per year in the U.S., a reasonable forecast is:

Growth is likely to slow slightly as we move beyond early adopters, but continued ease of access (mobile, integrations, assistants baked into apps) will keep the curve moving upward.

2. Workplace adoption: from “experimentation” to “everyday expectation”

On the employee side, expect a shift from “some employees use AI” to “you’re expected to know how.”

Over the next year, it’s reasonable to expect:

  •  Daily workplace generative AI use to rise from ~14% of employees to around 20–25%, especially in knowledge and office roles. PwC+1
     
  •  In markets like Canada, where 51% already use generative AI at work, that share could plausibly reach 60%+, with more formal policies and upskilling in place. KPMG
     

In parallel, more organizations will move from “unofficial, under-the-desk use” to sanctioned, policy-driven use with training, governance, and standardized tools.

3. Company-level usage: from “we have AI somewhere” to “we rely on it”

At the organizational level, the next year will likely see:

  •  The share of companies using AI stay high—moving from 78% to perhaps 80–85% as “holdouts” shrink. Exploding Topics+1
     
  •  The real story will be in depth: more firms moving from pilots and isolated use cases to integrated workflows in areas like customer service, marketing, coding, and operations.
     

Given that only about 5% of enterprises have scaled generative AI deeply today, even a doubling to 10% with real, end-to-end AI in workflows would be a significant shift in just one year. MLQ

4. Productivity expectations will harden

Surveys already show strong perceived efficiency gains:

  •  Workers report time savings equivalent to 1.6% of all work hours, implying up to a 1.3% boost in labour productivity since generative AI tools appeared. Federal Reserve Bank of St. Louis
     
  •  Workers themselves say AI saves them close to an hour per day on average. Canadian HR Reporter+1
     

Over the next year, it’s reasonable to expect:

  •  AI literacy to become a baseline expectation in many white-collar roles
     
  •  A more explicit link between AI skills and career progression: some surveys already show nearly half of workers worry about being replaced by someone who can “really” use generative AI. KPMG
     

What This Means for Individuals and Organizations

If you strip away the noise, the pattern is clear:

  •  AI is no longer experimental — it’s becoming part of normal work and life.
     
  •  Personal adoption is racing ahead, pulling organizations with it.
     
  •  The gap is no longer “AI vs no AI,” but “confident users vs hesitant observers.”
     

Over the next 12 months, the advantage will increasingly belong to:

  •  Individuals who learn how to use AI tools confidently and responsibly
     
  •  Teams and leaders who systematically integrate AI into workflows, rather than treating it as a side project
     
  •  Organizations that support upskilling instead of quietly hoping people “figure it out”
     

That’s the window our Mastering AI Adaptability Program lives in: not hype, not fear, but real capability-building in a world where AI tools are already on almost everyone’s screen.

If the last year was about discovering AI, the next year will be about deciding what kind of AI user you’re going to be—and whether you’re leading that change or trying to catch up to it.