AI Is Not Too Big for You - You’re Just Thinking Too Big to Start

Elia Corkery Marketing Executive
1 min read in AI
(363 words)
published

The real reason AI feels “too big” is because you’re thinking too big - the smartest way to start is small, simple, and practical.

There’s a common myth we hear all the time: “AI sounds great… but it’s just too big for us right now.”

Too expensive. Too risky. Too complicated. Too soon.

But here’s the truth: AI isn’t too big for you. You’re just thinking too big to start.

As our CSO, Mark Probert said recently: “It doesn’t have to be a multi-million-pound project. It doesn’t even have to be a hundred-thousand-pound project. Maybe it’s just a few thousand pounds. A workshop. Some design thinking. A bit of data analysis.”

The businesses who are making real progress with AI aren’t launching huge transformations overnight - they’re taking smart, small steps that create momentum.

Big wins come from small starts

One of the most common blockers to innovation is overthinking the first move.

We’ve seen it across the board:

  • Startups thinking they need to build a whole product before testing a use case
  • Enterprise teams trying to predict long-term ROI before validating anything
  • Teams unsure whether playing with ChatGPT counts as “doing AI” (hint: it does)

But here's the kicker: The teams getting ahead aren’t the ones with the biggest budgets. They’re the ones who started.

Sometimes, that’s as simple as:

  • Running a low-cost innovation workshop
  • Auditing internal use of AI tools like ChatGPT
  • Building a quick prototype to test a manual workflow
  • Running a proof-of-concept sprint for under £5K

We’ve seen projects like these save teams £50K+ per year in time, inefficiency, and duplicated effort.

Stop theorising. Start testing.

At New Icon, we’re helping clients stop spinning in circles and start building smarter.

Our approach is simple:

  • Test fast
  • Learn quickly
  • Scale what works

You don’t need to be “AI ready” or have your whole roadmap sorted. You just need to take that first step and get on the learning curve.

Because the sooner you start, the faster you grow.

Ready to start small and win big?

If AI still feels too big,  it probably means you're looking at it the wrong way.

Let’s make it smaller, simpler, and more practical.

Book a low-cost AI innovation workshop or explore our Proof of Concept Sprints - fixed-cost, fixed-outcome formats designed to get you moving without the guesswork.


Elia Corkery Marketing Executive at Newicon

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