This year looks set to be another one of rapid AI adoption and, at the same time, widening gaps between small and large businesses.
New data from IONOS shows that while AI uptake among U.K. SMEs surged in 2025 (37% vs. 20% in 2024), smaller businesses remain significantly behind larger organisations. According to YouGov, 68% of big companies now use AI in some capacity, compared to just 15% of small businesses (and 34% of medium-sized companies).
To help explain what’s behind this gap, Karim Salama, founder of UK digital consultancy E-Innovate, has told Digital Journal about the six most damaging AI myths still holding SMEs back.
The common misconceptions holding SMEs back
Despite the reluctance among smaller companies to adopt AI technology, AI continues to play some role in nearly every aspect of workplace operations – from email inboxes to accounting software. However, for wider adoption many SMEs remain hesitant, often due to outdated or misunderstood ideas about how AI actually works.
To help founders cut through the noise, Salama shares his insight around the top myths that continue to hold SMEs back to Digital Journal.
“AI in 2026 isn’t sci-fi or expensive – it’s practical, everyday tech,” says Salama. “In fact, most SMEs are already using AI without even realising it. The gap now lies in education – not capability.”
Myth 1: “AI is too expensive for a small business”
Most of the basic tools SMEs need can cost as little as £20-30 per month, notes Salama. He states: “Many are actually already included within software or packages they already invest in. From automated email responses to inventory forecasting, affordable AI has levelled the playing field.”
As examples, Salama cites tools, such as GPT-based assistants, AI-powered CRMs and automated bookkeeping platforms can help reduce the need for large upfront investments in technology and staffing. By automating or streamlining repetitive tasks, these systems allow small and medium-sized enterprises (SMEs) to operate more efficiently and lower ongoing administrative costs.
Recent reports even cite figures between 20% and 40%, Salama reports. He says: “When it comes to operational savings thanks to AI adoption, though estimates vary depending on the sector, the scale of implementation, and existing workflows.”
“2026 is the year AI becomes as standard as Wi-Fi within the workplace,” adds Salama, “And whilst, understandably, many SMEs may be cautious initially when it comes to investing in new tools or tech, or may not even have the budget to do so, the cost of workplace AI has become much more affordable, meaning small budgets are no longer a barrier.”
Myth 2: “AI will replace my staff”
Despite half of UK adults admitting they worry that AI will take or alter their job, the data shows the opposite, with an OECD survey finding that the vast majority of SMEs (83%) reported that generative AI has had no effect on their overall staff needs.
When quizzed, most SMEs say they use AI to remove repetitive admin, not to eliminate roles. In fact, businesses adopting automation often free up 20–30% more productive time for customer service, sales, creative work and problem-solving.
Salama comments: “The adoption of AI in the workplace should not be feared, quite the opposite, in fact. When it comes down to it, I believe the majority of business owners will find that the greatest value comes from AI combined with human expertise, not AI in replacement of it.”
Myth 3: “AI tools are too complicated to learn”
Whilst they may initially seem intimidating or confusing to those who are reluctant to use them, modern AI tools are cleverly designed to be intuitive, and useful for everyday users, not engineers. “If you can confidently type out an email, then you should have absolutely no problem when it comes to using AI”, Salama clarifies.
Salama continues: “Many of today’s platforms include drag-and-drop options, natural language prompts, templates and guided workflows, meaning you don’t need training or technical knowledge to benefit, even from the early stages of adoption.”
Myth 4: “My business is too small to benefit”
Salama is of the view that small and micro-businesses often gain the most, as solo founders, tradespeople, online sellers, freelancers and boutique retailers now have the benefit of being able to automate tasks they so often don’t have time or staff for, including:
- Invoices
- Customer follow-ups
- Marketing content
- Scheduling
- Stock alerts
- Expense tracking
Salama offers: “By reducing the administrative burden, AI tools free up time for higher-value work, turning saved hours into lower costs, improved customer service, and often increased revenue.”
Myth 5: “AI can’t be trusted – it’s too risky”
While concerns about AI safety and reliability remain common, many issues arise not from the technology itself but from poor implementation, limited user training, or a lack of human review. As Salama finds: “AI should be treated as an assistant, not as an autonomous decision-maker – which is often where we see things start to go wrong.”
To use AI safely and reduce operational risks, small businesses can take advantage of features such as human approval steps, audit trails, secure data-handling practices, private or company-only AI environments, content filtering, and version history.
“The bigger risk now,” according to Salama, “is falling behind competitors who adopt AI responsibly and use it to strengthen their operations.”
Myth 6: “AI-generated content all sounds the same”
Generic AI content happens when prompts are too generic. “Many people wrongly assume that AI can immediately generate great copy or assets without detailed instruction.” Salama says. “And unfortunately, it just doesn’t work like that. It’s akin to expecting the tech to read your mind from just one or too short prompts.”
With a set of clear, strong instructions, or a business-specific style guide, Salama thinks AI has the ability to follow tone, structure and vocabulary just as consistently as a human team can do. So much so, businesses are now using AI for everything from personalised customer emails and internal documentation, to product descriptions, social media posts, ad copy, and even local SEO copy.
Salama observes: “It’s worth noting that while it does boast a huge amount of capabilities, AI isn’t a writer, it’s a writing assistant that is fast becoming highly customisable.”
What should SMEs be focussing on in 2026 instead of the myths?
Salama recommends three priorities for small businesses heading into 2026:
1. Start with one task, rather a full transformation: Opt for something low-risk and high-frequency, like email drafting or admin automation. Small wins compound quickly and will help guide you when it comes to bigger tasks as you grow your own knowledge and expertise, and become more confident in using the tools.
2. Create an AI “house style” for consistency: By working up a simple document outlining tone, vocabulary, audience and brand identity, you’ll save time down the line in terms of editing hours, and help to dramatically improve AI output.
3. Factor in human sense checks: AI drafts and then humans approve. Remember, AI should be treated as an assistant, not as a replacement for tasks and staff responsibilities. This hybrid model delivers quality, safety and speed without overwhelming teams.
