Issue #8: The companies that refuse AI
Why some businesses are holding the line against artificial intelligence — and at what cost
“It is now AI-powered” must be one of the most common phrases businesses are using these day. But to assume that every company is elbow-deep in automation, machine learning, and generative tools is not right.
The majority of businesses are not using AI at all.
In 2024, only 13.5% of European companies (with 10+ employees) had adopted AI in any form. In Greece, it was under 10%. Even in the US, AI adoption remains clustered among large firms and tech-heavy sectors.
So, who’s saying no to AI and why?
This week, we investigate the businesses that are intentionally avoiding artificial intelligence. We examine the strategic reasoning, the industry context, the (very real) risks of standing still and what happens next.
Why Some Companies Say No to AI
So why are some companies still refusing to jump on the AI bandwagon? From executive skepticism to workforce resistance, the reasons vary but they often boil down to caution, culture, and context.
Skepticism is at the Top
Leadership reluctance is often cultural, not technical. Many execs remember tech hype cycles that went nowhere. In conservative industries (legal, healthcare, finance), AI is seen as a regulatory risk or simply unnecessary change.
Cost & ROI Anxiety
AI doesn’t come cheap and (unfortunately it doesn’t pay off quickly. A 2025 MIT study found 95% of generative AI pilots failed to deliver fast revenue gains. Small businesses see these figures and think: “Why bother?”
Skills Shortage
Another major barrier is the shortage of AI-related skills within many organizations. Especially in small and mid-sized firms, the lack of in-house expertise makes AI adoption feel out of reach. Hiring AI specialists is often prohibitively expensive, while upskilling existing staff presents its own risks, not only is it time-consuming and costly, but once trained, those employees may leave for better-paying roles elsewhere.
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This talent gap leaves many companies stuck, preferring to stick with familiar tools rather than invest heavily in capabilities they can’t confidently sustain.
Data & Privacy Fears
Data privacy and regulatory uncertainty are also key reasons some companies avoid AI altogether. With strict frameworks like GDPR already in force — and the upcoming EU AI Act introducing even more complexity — many firms view AI as a legal minefield.
There’s a growing concern that an AI system deemed compliant today might fall afoul of future regulations, exposing the business to fines or reputational damage. For risk-averse leaders, the uncertainty around how AI fits into evolving legal standards is reason enough to delay adoption.
Quality and Brand Integrity
Concerns about quality and brand integrity are particularly strong in creative industries. Many agencies report that human-written content continues to outperform AI-generated material in areas like SEO and audience engagement. AI outputs are often criticized as robotic, inconsistent, or factually unreliable. A risk that can directly damage a brand’s credibility. For companies built on creativity, nuance, and tone, handing over content to algorithms isn’t just a technical choice. A reputational gamble they’re unwilling to take.
Industry-Specific Barriers
In some sectors, the nature of the work itself makes AI adoption impractical or irrelevant. Industries that rely on legacy equipment, operate in constantly changing environments, or deliver highly personalized services often struggle to integrate AI meaningfully.
For example, small farms may lack the digital infrastructure for precision agriculture, factories with proprietary machinery face compatibility issues, and construction sites are too variable for standardized AI models to adapt effectively. Similarly, in luxury hospitality or bespoke consulting, the human touch is central to the value proposition. Something AI still can’t replicate convincingly.
Workforce Resistance
Employee resistance is another powerful force slowing AI adoption. Many workers fear that automation could render their roles obsolete, leading to job insecurity and low morale. This anxiety often manifests as internal pushback — from reluctance to adopt new tools to outright resistance that can derail implementation efforts. In organizations with strong workplace culture or union presence, leadership may choose to avoid AI altogether in order to preserve stability, loyalty, and trust. For some, maintaining workforce cohesion outweighs the uncertain benefits of technological disruption.
What They Risk By Refusing AI
While there are legitimate reasons to take a cautious approach, staying AI-free isn’t a neutral stance. It’s a strategic risk with growing consequences. Companies that rely solely on manual processes face higher operational costs and lower efficiency, especially as competitors automate everything from supply chains to fraud detection.
This efficiency gap translates into lost market share: firms leveraging AI can personalize services, respond to trends faster, and scale their operations in ways that human-only teams can’t match.
Meanwhile, non-adopters risk missing out on innovation entirely. AI reveals patterns, optimizes workflows, and opens up new product or business model opportunities that aren’t visible through traditional means. Financial performance also suffers over time.
A 2024 BCG report found that AI leaders outperformed peers in revenue growth (1.5×) and shareholder returns (1.6×), with the gap widening each year. There’s also the talent problem: younger professionals increasingly seek tech-forward employers, and companies without AI risk becoming unattractive to top talent or frustrating current staff stuck in outdated workflows.
Ultimately, the biggest risk is obsolescence. Every technological revolution has left behind the laggards, and AI shows every sign of becoming the next defining force.
As McKinsey put it bluntly in 2025: “Inaction today leads to irrelevance tomorrow.”
What (If Anything) They Gain
Let’s be fair. Not using AI can have advantages if positioned correctly and executed well.
Human-Centric Branding
Some firms (e.g., NeoMam Studios, Up Inc.) proudly promote their “100% human-made” work.
This appeals to clients who distrust AI and crave creativity, empathy, or craftsmanship.
Avoiding AI Pitfalls
No hallucinations, no biased algorithms, no broken black boxes.
In high-stakes fields (healthcare, insurance, education), some firms prefer human error over algorithmic liability.
Short-Term Cost Savings
No AI means no cloud bills, no consultants, no sunk cost in failed pilots.
This is tactical, not strategic (but it can preserve cash).
Alternative Innovation Paths
Some companies double down on non-AI innovation: RPA, process improvement, customer service excellence.
They bet on people and processes, not algorithms.
Trust and Transparency
“No bots in hiring.” “No AI tutors for your kids.” “All support agents are human.”
This earns trust in sectors where empathy and fairness matter most.
These advantages are often temporary though.
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Quality alone won’t save a firm if competitors become 10x faster and cheaper. Cost savings fade if rivals gain compound AI efficiency. And branding as “AI-free” only works while consumers care.
Case Snapshots (2023–2025)
Real-world cases show how companies are navigating (or outright rejecting) the AI revolution between 2023 and 2025.
NeoMam Studios (UK)
Flatly rejects AI content creation. Positions human creativity as its differentiator. So far, it’s working and they’ve maintained pricing power and brand integrity.Up Inc. (US)
Publicly declared AI content “bad for SEO” and claimed their human-written material consistently outperforms AI in rankings. Their anti-AI stance is part of their pitch.EU Enterprises
Only 13.5% used AI by 2024. Greece, Romania: under 10%. Many cite lack of skills, unclear ROI, and compliance worries. The EU now views this as an economic risk and launches new support plans in 2025.Insurance Industry
Initially cautious, especially regarding claim automation. But by 2025, even laggards began adopting AI, driven by efficiency pressure and talent retention needs.Hollywood
The Writers Guild strike in 2023 ended with a ban on AI-written scripts in union productions. A symbolic — and contractual — stand for human creativity.
Holding Out, But Not Forever
Companies refusing AI today often position themselves as cautious, ethical, or authentic. Some will succeed especially in niche markets where human quality truly matters.
But the window is closing.
AI is not a hype cycle. It’s a platform shift. And while not every AI project succeeds, not engaging at all is likely to hurt in the long run. As the saying goes: “You don’t have to outrun the AI. You just have to outrun the companies that didn’t try.”
Some will resist until the last possible moment. Others will evolve quietly, adopting AI in non-obvious ways (data analysis, internal automation, etc.) while maintaining a human-first front. Smart businesses pick their battles.
The rest? Well, the tech revolutions of history have shown how that plays out.
If it was my company. I would defer AI for a bit. First, Windows, is built on patches from 1975. It’s useless for anyone other than a light user. The security is horrendous, and you have to have security software that is built from the system your are supposed to be protected from. Who thunk of that? Everything is 3rd party and all information is kept in a cloud. I’m not a paranoid, but look at their track record. Build fast and sort it out later. The people that built it, AI, really have no idea how to use it. It’s just more features, that bring you less safety. Also, the 1000 cuts at a $1.99. If you add up all it takes, how many programs you need to, we’ll learn. You work and respond to the program, phone, watch, ring, sma, email. All devices vying for your undivided attention. Chirping and beeping all day! How about something that is an Intelligent System, carries AI, but isn’t the bulk of it. Sovereignty. No words like that has ever crossed the lips of Silicone Valley. I don’t hate technology. I embrace it. Being my first computer was a Tandy 128k. Bag phone. I don’t have an axe to grind with them. I just prefer not to give them my life’s, accumulative works to share with whom I don’t know. How about you sell your works to whom ever you choose or not. What I’m building and almost finished, is the experience of a 62 year old who has lived a full existence. Not a child straight out of college with a huge salary, that builds according to what they were taught!!