When AI Makes Software Near-Free, Specialization Is the Only Moat

01 /The Concept

AI is moving faster than people and companies can adapt. The widely cited projections are striking: 60% of job roles could disappear, along with 70% of the skills previously considered essential for employees.

At the same time, AI proficiency is fast becoming the single most important competency employers are screening for – across virtually every industry.

Ivee is a community designed to help its members learn new AI tools and stay employable – whether that means holding onto their current role or finding a better one.

The platform offers three core services:

- Structured learning programs covering a broad menu of AI tools, chosen by the member.

- Personalized learning plans built around each member's current work experience and career goals.

- Job matching – both through an internal job board and through personalized recommendations to employers looking for people with exactly these skills.

Membership is priced at £9.99 per month. Ivee operates in the UK and has already built a community of 80,000 members.

On the employer side, Ivee offers a separate set of services. Companies can search the member resume database for free; posting a job costs from £199.

For faster, more targeted hiring, companies can pay for a curated shortlist of 5–10 candidates – priced at 7.5% of the hire's annual salary, contingent on the employee staying more than three months.

Ivee just raised $1M in new funding from well-known podcaster and entrepreneur Steven Bartlett – who himself closed a round last fall valuing his company Steven.com, which runs a range of creator economy projects, at $425M.

02 /Why It Matters

The demand from companies for AI-literate employees is real.

One data point: Swiss startup Scholé ([related review](/review/mozhno-vzletet-dazhe-so-starymi-tehnologijami)) closed its first $3M round in late January to build a corporate AI upskilling platform. Unlike Ivee, Scholé is a pure B2B play – training employees rather than building a community. But Ivee's community component is actually where things get complicated.

Back in the fall, when this platform [was covered previously](/review/gde-brat-normalnyh-sotrudnikov), Ivee had noticeably different positioning – even though its core functions (reskilling, job placement) were essentially the same. The differences were meaningful:

At the time, Ivee was focused on helping people who'd been out of the workforce return to employment – after a career break, a relocation, or a layoff. There was no specific focus on AI tools, and no particular emphasis on job loss due to automation.

The primary audience was women returning to work after parental leave – people who needed to refresh skills, catch up on what they'd missed, and sometimes pivot into new roles.

As recently as yesterday, the Ivee homepage still featured photos of that same demographic – but with new copy about AI. Today, the site has been replaced by a generic portal pushing "find and learn the best AI tools without the fuss"

This raises a legitimate question: the founders appear to be weighing two very different directions – deepening the community-focused product versus pivoting toward AI literacy training, including corporate contracts.

The real play with a community product is tight audience focus. "Women returning to the workforce" is a specific, underserved segment with a genuine identity – which is why it works. Without that focus, Ivee becomes just another AI course platform in an increasingly crowded space.

But if the team pushes hard on corporate training, the gender-specific positioning starts to work against them – companies want to train all of their employees, not a subset.

This is the classic founder's dilemma: niche focus vs. broader market expansion. Deeper focus means sacrificing reach; broader reach means diluting the positioning advantage.

There's no universal right answer. But the evidence from the market tends to favor focus – it's usually better to dominate a specific segment than to be one of many players in a crowded general market.

And examples of women-in-AI companies that raised real money do exist.

Japanese startup Ms.Engineer ([related review](/review/otlichnaja-tema-dlja-obrazovatelnogo-servisa-i-soobshhestva)) raised $2.1M in new funding last fall for a platform training women in AI and tech roles.

UK startup Code First Girls ([related review](/review/zhirnyj-kusok-rynka-obrazovanija)) attracted £4.5M to train women in coding and tech careers.

US startup The New Club ([related review](/review/odnovremenno-pomoch-i-kompanijam-i-zhenshhinam)) raised $3.1M for a community helping senior women in tech build networks and advance their careers.

Niche professional communities for women exist well beyond tech, too. Most recently, Singapore-based Podium ([related review](/review/nachalsja-trend-na-vot-takie-soobshhestva)) raised $15M in its very first round last November.

03 /Opportunities

In a world where AI can produce software or learning content on demand, the underlying value of software and courses as such is trending toward zero.

What holds value is the ability to build an audience. And that's dramatically easier when the startup has sharp, unwavering focus on a specific community – one where people feel "yes, this is built for me"

A non-women example that illustrates the power of tight focus: PAC ([related review](/review/nadjozhnee-nachinat-ne-s-produkta-a-s-auditorii)), which raised $7.6M last summer for an education community targeting professional athletes who want to build businesses alongside – or after – their sports careers.

That positioning is so precise that PAC had already reached at least 10% of all professional soccer players in the US by last summer. From there, the remaining 90% and other sports are the natural expansion path.

The core lesson: build niche startups with unambiguous target audiences.

A [recent review](/review/novyj-kriterij-vybora-horoshej-nishi) explored this same idea in the context of software companies. But it applies equally to communities. And nothing stops a community from eventually launching its own software products – which are now cheaper and faster to build than ever, thanks to AI.

So the question is: which audience do you want to help – and in what way? Start there, stay with that audience, and expand the product range for them rather than trying to serve a broader market with a single product. Audience loyalty compounds. Market breadth doesn't.