The New Shopify Moment For AI Services

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The New Shopify Moment For AI Services
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Small firms are using new AI tools to work smarter, automate faster and compete with companies many times their size.

I write about the economics of AI.AI platforms are becoming the new digital workforce, helping small businesses grow faster without extra staff., the gulf between promise and reality still feels wide enough to swallow small businesses whole.

Billion-dollar labs keep training larger models, and venture capital keeps pouring in. Yet most small business owners — the hair salon operators, digital marketing freelancers and local accountants — still don’t know where to start. AI may be rewriting the economy, but for many of them, it remains a language they don’t yet fully understand.A new wave of platforms is turning AI into something ordinary people can actually use. Analysts expect theto surge from about $16 billion in 2024 to more than $105 billion by 2030, growing at roughly 36 percent a year. What that means is that the next great platform war will likely not be fought over whose AI model is smartest. The competition will focus on ensuring the technology feels effortless for everyone who needs it., a company that builds automation tools for small firms. “They wake up thinking about customers, payroll and how to keep the lights on.” For Lee, AI only matters if it makes those things easier. His point, essentially, is that the next phase of AI adoption will be about who makes it usable for the people running real businesses — something that’s increasingly becoming the major message across the AI industry.from reality. Instead of racing to build larger models, developers are building orchestration layers on top of them. They’re designing systems that let organizations in nearly any field — from logistics to healthcare to creative services — deploy AI workflows without an engineering team.expects about 40 percent of enterprise applications to feature task-specific AI agents by 2026, up from less than 5 percent today — a signal that automation is becoming as routine as email.The companies driving this shift don’t always have investors behind them. But as Lee told me, “bootstrapping forces clarity, and when every dollar comes from a customer and not an investor, you can’t hide behind buzzwords. You have to build things people actually use, and you have to show results quickly.”Such clarity is crucial in a field saturated with hype and venture capital. According to Stanford’s, generative AI startups attracted $33.9 billion in private investment last year, most of it concentrated in a handful of companies chasing scale, not profitability. But for smaller builders, the absence of capital is a kind of freedom — a chance to build for immediate returns and real value. Today, small agencies can spin up automated client onboarding or copywriting bots in minutes, often without writing a single line of code. McKinsey’s 2025 Technology Trends Outlook points to the same conclusion, noting that the biggest productivity gains in the near term will come from integrating AI into everyday workflows — not from chasing ever-larger breakthroughs in model design.“Everyone’s been obsessed with building smarter models, but the real opportunity is in building smarter systems around those models,” Lee said. “The winners won’t be the companies training algorithms in isolation — they’ll be the ones helping entrepreneurs turn those algorithms into something that saves time, reduces costs, or drives sales tomorrow morning.”found that 91 percent of SMBs using AI say it has boosted revenue and roughly three-quarters are already investing or experimenting with the technology. AI agents now write proposals, qualify leads and analyze performance data — tasks that once consumed entire teams. Still, accessibility is uneven. Many small firms either lack clear playbooks or fear the loss of the human touch that defines their service. “We’re living through what feels like a Shopify moment for AI services,” Lee said. “Just like e-commerce was once locked behind code and web developers, AI is still locked behind technical knowledge. The companies that break that barrier, building an ecosystem where others can create, customize and scale their own AI services — much like Shopify did for online stores — will redefine how small businesses grow.”If Lee is right, the true democratization of AI won’t come from the labs building smarter models, but from the entrepreneurs making those models usable. Each wave of technology — from desktop publishing to website builders to cloud software — has often blurred the line between the expert and the everyday creator. AI could do the same, turning machine intelligence from a luxury into a utility. If history repeats itself, the tools that drastically lower the barrier will capture the market. And that’s exactly the wager behind this new wave of platforms — that automation, if made intuitive enough, could become the next great equalizer in business. As Lee noted, we can take a cue from Shopify and its rise in the world of online retail. Shopify’s story, explained Lee, wasn’t just about online stores. It was about access, giving small players the same capabilities once reserved for giants. “That same logic is now unfolding in AI,” Lee said. “And whoever simplifies it first may end up shaping the future of work,” he said.

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