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AI Video Interviews Are Reshaping How Candidates Apply for Jobs

Stockholm's Fika Jobs uses AI-led video conversations to build candidate profiles, replacing resumes with short clips—but bias risks and new pressures remain.

  • #ai-hiring
  • #video-profiles
  • #recruitment-tech
  • #job-search
  • #fika-jobs
Editorial illustration of an AI video interview balancing a candidate's story with hiring scrutiny

The hiring process has long frustrated both sides of the table. Candidates spend hours writing applications, only to disappear into what feels like a black box. Generative AI has made things messier, with employers relying on AI-powered screening to sift through overwhelming numbers of submissions. When anyone can generate a polished resume while companies simultaneously use AI to screen candidates, the traditional application document loses much of its signal value.

A Stockholm-based startup called Fika Jobs thinks there is a better way, and its recent funding round suggests investors agree. The company has raised $4 million in pre-seed funding to build a video-first hiring platform that uses AI interview agents to evaluate candidates before they ever apply for a specific role. The round was led by Luminar Ventures, with participation from Alliance VC and King co-founders Sebastian Knutsson and Riccardo Zacconi, the duo best known for creating the hit mobile game Candy Crush. TechCrunch

The model offers a fundamentally different entry point into the job market, but it also introduces tradeoffs that anyone navigating hiring in the next few years should understand.

How AI-Led Video Interviews Work

For job seekers, the process starts by connecting a LinkedIn profile. Fika’s AI reviews the candidate’s background and generates personalized interview questions. Candidates then complete a roughly 10-minute video interview with an AI agent, currently powered by Google’s Gemini models. Fika

After the interview, Fika automatically turns responses into short video clips and organizes them into a profile. Instead of applying to every new role, candidates maintain a live profile that employers can discover and revisit as new opportunities arise.

The platform is free for job seekers. Employers pay nothing up front, but Fika takes 10% of a candidate’s first-year salary upon a successful hire, which the company notes is lower than the 20% to 30% placement fees often charged by traditional recruiters and headhunters. Fika for companies

The name comes from the Swedish tradition of fika, a relaxed coffee chat where people actually get to know each other. The founders, brothers Jakob Dubois (CEO) and Alexander Dubois (CTO), developed the concept after nearly overlooking a strong candidate during their previous venture building the social app Gaff because his resume did not really stand out. They ended up speaking with him anyway, and within minutes, his grit, drive, and ambition became obvious. That experience convinced them that some traits employers care about most are difficult to capture on paper. TechCrunch

What Candidates Actually Experience

The candidate journey is designed to feel less like a form and more like a conversation. Users talk with an AI agent that asks about previous roles, what their day typically looked like, and where they felt most at home. The system then cuts, edits, and builds a profile that is intended to be uniquely and unmistakably them.

One candidate, Andreas Magnusson, now CTO at JOBA Staff, described the AI interview as relaxed, thoughtful, and helpful for explaining what he is good at beyond what fits on a CV. Another, Jakob Hubner, an engineer at Handelsbanken, said he was genuinely surprised by how good the Fika interview felt, calling it personal, relevant, and much more natural than he expected from an AI. Martin Bekkhus, a product manager at Findity, called it one of the better interview experiences he had.

These testimonials, featured prominently on Fika’s own site, paint a picture of a process that reduces anxiety for candidates who struggle to convey personality through bullet points.

The platform matches candidates against roles using salary and other parameters such as company size, impact focus, pace, hierarchy level, vacation policies, founder background, and remote-friendliness. For someone whose potential is not always apparent from a resume alone—early-career professionals and candidates from non-traditional backgrounds—this approach may be especially valuable.

What Employers See

On the employer side, Fika positions itself as a curated pool rather than an open job board. The company’s AI agent has interviewed candidates and benchmarks them against a company’s existing team to surface talent that meets or exceeds the employer’s bar. Companies can sync candidates directly into their existing applicant tracking system pipeline, and the platform can import all active roles from a company’s careers page in one click. Fika for companies

Early testers include Plenty Labs, SICS.ai, Kognity, and Rebtel. More than 100 companies are on the waitlist, and more than 50 companies tested the platform during an early phase in 2025, attracting thousands of candidates and resulting in several successful hires. TechCrunch

Employers using the platform have reported positive experiences. A co-founder at Lumoo said the company hired its founding AI engineer through Fika, praising the candidate quality and the clearer picture of each person compared to a CV. The founder of PlentyLabs said Fika made it much easier to get a real sense of candidates early in the process, calling it faster, more human, and more insightful than just reviewing CVs.

The employer-facing pitch emphasizes that companies only see candidates likely to meet their bar, reducing the time spent on unqualified applications. The platform offers a full refund guarantee if an employee leaves or does not make it through the probation period.

The Bias Problem

Here is where the model gets complicated. Video profiles introduce real bias risks that are worth acknowledging. When employers can see a candidate’s race, age, gender, physical appearance, and accent before evaluating their qualifications, it opens the door to discrimination that a resume, for all its flaws, at least partially obscures.

Fika says it anonymizes attributes such as age, gender, and ethnicity during the matching process to support fairer hiring decisions. But there is a meaningful difference between anonymizing data in a matching algorithm and presenting employers with video clips that inherently reveal visual and auditory details about a person. Even if the matching step is blind, the moment an employer clicks through to a video profile, those protected characteristics become visible. Fika for companies

This creates a structural tension at the heart of the product: the very feature that makes video profiles engaging and memorable also makes them a potential vector for bias. A candidate with a non-native accent, a visible disability, or an appearance that does not conform to a company’s implicit norms may face disadvantages that a text-based process would have masked.

Tradeoffs for Job Seekers

Candidates considering a platform like Fika face several practical tradeoffs. The benefit is clear: a chance to showcase personality, communication style, and motivation in a way that a resume cannot capture. For people whose strengths shine in conversation but not on paper, this is a genuine advantage. The platform is free, and the pay-for-success employer model means candidates are not asked to pay for premium profiles or subscription services.

But candidates should think carefully about what they are trading for that visibility. A video profile is a persistent artifact that can be revisited by employers, and it exposes personal characteristics that a text-first screening process may reveal less readily.

Candidates should also consider whether the AI interview format plays to their strengths. Someone who is articulate and comfortable on camera will likely benefit. Someone who is talented but camera-shy, or who speaks English as a second language and feels self-conscious about it, may not perform as well in a video-first format even if they would excel in the actual role.

Tradeoffs for Employers

For employers, the appeal is efficiency and depth. Instead of reviewing hundreds of text applications, hiring teams can scan video snippets of pre-assessed candidates in minutes. The benchmarking against existing team members adds a layer of cultural-fit assessment that traditional job boards do not provide. The pay-only-when-you-hire model with a refund guarantee reduces upfront risk.

But employers should weigh several concerns. The 10% placement fee is lower than traditional recruiter charges, but it is still a meaningful cost per hire, especially for roles with higher salaries. More importantly, companies need to think about whether their hiring teams can fairly evaluate video profiles without introducing bias. Training hiring managers to focus on relevant content rather than appearance or accent is essential, and companies that have invested in blind screening may find that video profiles undercut those efforts.

There is also the question of whether AI-conducted interviews actually surface the right signals. The AI evaluates communication style, tone, and content, but it may miss context that a skilled human interviewer would catch. Employers should treat AI-generated assessments as one data point, not a definitive evaluation.

How This Fits the Broader Hiring Landscape

Fika is not alone in trying to reinvent recruitment with AI. Competitors including Alex, Maki, and Mercor are also focused on helping employers source, screen, and match candidates more efficiently with AI. What distinguishes Fika is its candidate-centric model: instead of helping employers process incoming applications, it builds a pool of pre-interviewed candidates that employers browse. TechCrunch

This is closer to a talent marketplace than a job board, and it shifts some power back toward candidates by letting them maintain a persistent profile rather than applying repeatedly.

The broader trend here is the erosion of the resume as the primary hiring artifact. When AI can generate polished applications and AI can screen them, the document itself becomes less informative. Video profiles, AI-led interviews, and persistent candidate marketplaces are one response. Skills-based assessments, portfolio reviews, and trial projects are others.

Practical Guidance

If you are a job seeker curious about this format, consider a few steps. First, check whether the platform covers roles and geographies relevant to you. Fika is initially focused on Sweden before expanding internationally, with a broader public launch expected in the autumn.

Second, think about whether a video profile genuinely plays to your strengths. If you communicate best in conversation, this format could help you stand out. If not, consider whether you can prepare effectively for a video interview format, practicing concise, structured answers that highlight specific achievements.

Third, understand what happens to your data. Fika says candidates can retake or delete their AI conversations, and you should verify how profiles are shared with employers before participating. Fika

If you are an employer, start with a pilot. Test the platform on a single role type where cultural fit and communication skills are genuinely important, and compare the quality of candidates and time-to-hire against your existing process. Train anyone reviewing video profiles to evaluate content over presentation, and audit outcomes for demographic patterns that might indicate bias.

What to Watch

Fika currently has a small team but expects to reach around 10 employees by the end of the year. The platform plans to open early access to candidates, with a broader public launch expected in the fall. The company will initially focus on Sweden before expanding internationally. TechCrunch

Whether AI-led video interviews become a mainstream hiring format or a niche tool for specific roles and company types remains an open question. Much will depend on whether candidates find the experience genuinely better than traditional applications, whether employers find the candidates they discover through video profiles to be stronger long-term hires, and whether the bias risks can be managed effectively enough for the format to gain regulatory and social acceptance.

For now, the approach represents a meaningful experiment in addressing real frustrations with how hiring works. The resume was built for a different era. What replaces it will likely be messier, more varied, and more personal—and the tradeoffs will matter for everyone involved.

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