Habr AI→ original

SpeShu.AI launched AI-Profi — a service for selecting AI specialists for business tasks

SpeShu.AI launched AI-Profi — a service that helps businesses quickly find AI specialists for specific tasks. A request can be submitted in just a few clicks…

AI-processed from Habr AI; edited by Hamidun News
SpeShu.AI launched AI-Profi — a service for selecting AI specialists for business tasks
Source: Habr AI. Collage: Hamidun News.
◐ Listen to article

Russia is rapidly growing demand for people who know how to implement artificial intelligence in business processes. Against this backdrop, the SpeShu.AI platform launched the AI-Professionalist service, enabling companies to find suitable AI specialists not through lengthy recruitment, but through a quick request tailored to a specific task.

Why Demand is Growing

According to data cited in the publication, in the first quarter of 2026, Russian employers posted over 16.5 thousand job openings requiring AI skills or at least readiness to learn neural networks. This is 2.7 times more than a year earlier. Such a jump indicates a shift in focus: business no longer content to discuss AI at a strategic level; it needs people who can implement tools in sales, support, analytics, document management and internal services. Demand is shifting from abstract interest to applied tasks with clear results.

How the Service Works

AI-Professionalist is positioned as a tool for quick specialist selection based on specific business requests. The logic is simple: a company submits a request in a few clicks, describes the task, and receives responses from relevant experts from the service's database. This is notably different from traditional job postings, where it takes time to build a pipeline, filter resumes, and separately verify whether the candidate understands how to apply AI in a real process, rather than just knowing a set of trendy terms.

For companies, this matters also because the need for AI competencies often arises not as a planned HR task, but as an urgent business request. For example, the need to quickly automate part of support, test a hypothesis with an AI assistant for the sales department, or assess whether manual document work can be reduced. In such a situation, a task-based service looks more practical than a long search for an "ideal" full-time employee without clear understanding of the exact profile needed.

  • Request for specific business task
  • Fast response from relevant experts
  • Search not by formal title, but by real need
  • Reduced time between idea and first contact with specialist

Where This is Useful

This format may especially appeal to companies that already understand they need AI but don't yet want to build a large internal team. For mid-market business, this is a typical situation: there's a task, budget for a pilot exists, but there's not enough in-house expertise to precisely define the specialist's profile. As a result, hiring drags on, contractors are compared blindly, and pilots start too late.

A service like AI-Professionalist attempts to remove this first barrier and give business a shorter path to an executor. Based on the description, the tool's value lies not only in speed, but also in framing the demand. It's easier for an employer to formulate not a job posting "we need an AI specialist," but an applied request: deploy a bot, automate a process, select a solution for a specific department, or test a hypothesis before scaling.

This is a more mature market approach because it links AI not to trends, but to tasks, deadlines, and expected outcomes. For experts, this format is also convenient: they receive leads where the problem is already described in business language.

What This Means

The launch of AI-Professionalist shows that the Russian AI market is maturing: the specialist shortage is now so notable that separate recruitment services are emerging around it. If the trend of growing vacancies continues, business will increasingly seek not simply people "with AI experience," but executors for short, measurable projects. For the market, this is a signal that AI is transitioning from the category of experiments to the category of operational necessity.

ZK
Hamidun News
AI news without noise. Daily editorial selection from 400+ sources. A product by Zhemal Khamidun, Head of AI at Alpina Digital.

Want to stop reading about AI and start using it?

AI News is a curated feed of AI/tech news. Hamidun Academy teaches you to use AI systematically in your work.

What do you think?
Loading comments…