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Future Code: Beyond AI 2026

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The video is a broad, multi-panel conference recap of “Future Code: Beyond AI 2026” in Uzhhorod/Transcarpathia. It focuses on how AI will change business, technology careers, and regional development over the next ~5 years. While the opening includes program announcements and ceremonial elements, the core content consists of discussions and talks on practical AI adoption (“beyond experiments”), business competitiveness, and the need for international cooperation.

1) AI: from experiments to real business transformation

A recurring theme is that AI adoption is accelerating quickly, but true transformation is harder than “using a chatbot.” Speakers argue that:

  • Many organizations are already experimenting or piloting AI, but fewer have rebuilt processes, governance, and data flows to make AI consistently useful.
  • The biggest blocker is often not technology, but adoption and organizational readiness—including:
    • data quality and context
    • integration with existing systems
    • human oversight
    • accountability
  • AI value is expected to come through roles and capabilities like AI officers, AI governance, and context management, rather than only engineering outputs.

2) Key AI workforce and market trends (AI House research)

A presenter from AI House shares research-style insights about Ukraine’s AI sector:

  • Growth in AI talent and a youthful workforce, with many entrants shifting from other industries into AI.
  • Rising demand particularly for business-facing roles—people who can implement AI inside companies, not only build models.

Emerging trends include:

  • Expansion of “talent pyramids” due to more junior/beginner entrants
  • More AI engineers moving from pure engineering toward product/ownership
  • Broader AI tool adoption by business, but with adoption resistance driven by:
    • fear of change
    • fear of the unknown

The talk also highlights an upcoming AI House Camp / hackathon in Transcarpathia (targeting AI/ML specialists) and frames education and applied research as key to scaling.

3) What will drive technology and business in the next five years?

In a major panel discussion, contributors say predicting specific breakthroughs is difficult. Instead, they emphasize:

  • Near-term focus on what AI can enable already (e.g., physical/synthetic AI, automation of workflows)
  • The importance of context and governance for AI systems to work reliably in corporate environments
  • A technical/scientific view that model evolution may be incremental in the near term—meaning fundamental leaps may be slower than hype suggests, even as capabilities improve rapidly

4) Ukraine’s war-time context as a “technology accelerator”

Several speakers connect wartime needs to rapid technical development, especially in:

  • MilTech and drone/robotics development
  • Using “combat data” and operational footage to train or improve AI-enabled systems

They argue Ukraine can become a creator of next tech waves—not just a user—if companies preserve capabilities domestically and avoid outsourcing the entire stack.

At the same time, there is concern about dependency on external infrastructure and partners (e.g., compute/model hosting). The discussion stresses the need to build full-cycle capacity locally.

5) Business competitiveness: speed, decision quality, and security

A later panel focuses on how digitalization and AI reshape strategy. Key points:

  • Competitive advantage depends on:
    • speed of innovation
    • quality of decisions
    • security/trust
  • Implementation should happen in small steps, guided by ROI/impact measurement (not a “single happiness button”)
  • AI should be applied selectively where it produces measurable benefits, such as:
    • time saved
    • reduced costs
    • improved service
    • faster identification of bottlenecks

6) Education and workforce resilience: AI doesn’t remove humans—roles change

Across panels, speakers consistently state:

  • AI reduces manual work and accelerates development, but human oversight remains necessary for:
    • accountability
    • compliance
    • real-world correctness
  • Job roles evolve: people increasingly need domain knowledge + the ability to supervise AI tools, operating at a higher systems level (e.g., prompting and task-level design)
  • Education should shift toward:
    • embedded/robotic systems
    • computer vision
    • AI safety and deeper AI understanding
    • teaching students when AI cannot be trusted without expertise

7) International ecosystems: measured by outcomes, not memoranda

The final panel argues that international cooperation should be judged by measurable outcomes, not formal declarations or signed memorandums. Collaboration should be evaluated by:

  • joint R&D and joint business projects
  • value-chain cooperation
  • practical exchanges
  • international commercialization
  • real partnerships and transactions

Speakers describe cooperation as useful like a “phone book”: it matters only if it leads to actual collaboration and outcomes.

They also highlight regional cluster roles (e.g., Transcarpathian IT Cluster, Košice ITY, European digital innovation hubs, eco-energy/energy clusters), emphasizing that such hubs provide digital maturity assessments and guidance—especially for companies needing help taking their first step.

Presenters / contributors (named in the subtitles)

  • Myroslava Majdych — Director, Transcarpathian IT Cluster
  • Vasyl Homonay — Head of department (digital development / digital transformations), Transcarpathia regional administration
  • Ruslana Toftyn — Head, Western Regional Departmental Retail Business, UkrSibbank BNP Paribas Group
  • Vitaliy Rozman — Speaker (name shown in subtitles; role not clearly specified)
  • Yevgeny Andrikanich — Moderator, panel discussion
  • Konstantin Pylypchuk — Panel participant
  • Joseph Gisem (Jozef Gisem) — Panel participant / solution architect (as described)
  • Dmytro Lendl (Dmitry Landil) — Panel participant (entrepreneur/PhD CS per subtitle)
  • Alexey Minakov — Consultant (implementation and use of generative AI)
  • Tetyana Shchimon — Moderator, panel on business competitiveness (IT cluster communications manager / journalist per subtitles)
  • Oleg Ostroverkh — Founder & CEO/SEO (Petterson Apps)
  • Yevhen Bukhalsky — Representative, UkrSibbank BNP Paribas Group
  • Oleg Roshka — Co-founder (Logisticon / LogistOIS)
  • Nina Vasilyova — Coordinator of final panel (director of corporate communications, IPAM per subtitles)
  • Stanislav Shykalov — Head of Board, Transcarpathian IT Cluster
  • Miryama (Miriam) Guchkova — Executive Director, Košice ITY
  • Sergey Maksymchuk — Associate professor / project manager (European digital innovation hub per subtitles)
  • Lubomyr Zhovtulya — Associate professor (European digital innovation hub per subtitles)

(Additional contributors were mentioned but not clearly identifiable due to subtitle errors; the list above includes people explicitly named in the subtitles.)

Original video