The next decade won’t belong to AI companies, it will belong to companies that become AI-native

2026-07-24 · Source: Dataconomy · Field: Business & Management — Corporate Strategy & Leadership, Entrepreneurship & Start-ups, Operations & Process Management · Depth: Fundamental Awareness, medium

Summary

Technology entrepreneur and investor Dmitry Khanov argues that the next decade's significant opportunities will belong to "AI-native" companies that fundamentally redesign their operations, rather than those merely integrating AI features into existing workflows. Khanov, co-founder of Allbionics and an investor through Talentir Capital, asserts that true value stems from rethinking entire operating models, decision-making processes, and information flow. He believes competitive advantage will derive from proprietary data, operational execution, and organizational learning, as AI models become increasingly accessible. Khanov identifies professional services, healthcare, and other service industries as undervalued sectors ripe for AI-driven operational transformation. He also views AI as an acquisition strategy, focusing on businesses with operational friction that can be rebuilt from the ground up, prioritizing internal knowledge management, customer support, and management reporting for initial redesign. Furthermore, Khanov anticipates humanoid robotics will extend AI's impact into the physical world, creating new industries redesigned around them.

Key takeaway

For executives and investors evaluating AI strategies, recognize that true transformation comes from becoming "AI-native" by redesigning core operations, not merely integrating AI features. Focus your investments on businesses with high operational friction, where AI can fundamentally change economics by automating knowledge management, customer support, and reporting. You should prioritize acquiring companies based on their potential for AI-driven operational overhaul, rather than just existing assets, to unlock disproportionate value in service industries.

Key insights

The greatest AI value comes from redesigning entire operating models, not just adding AI features to existing workflows.

Principles

• Competitive advantage shifts from AI models to operational execution.
• Redesigning operations from scratch creates economic advantage.
• Operational friction signals high AI transformation potential.

Method

To become AI-native, redesign core processes from scratch, focusing on internal knowledge management, customer support, and management reporting to eliminate operational friction.

In practice

• Prioritize internal knowledge management for efficiency.
• Automate customer support with intelligent routing.
• Streamline management reporting for faster decisions.

Topics

• AI-Native Businesses
• Operational Transformation
• AI Acquisition Strategy
• Knowledge Management
• Customer Operations
• Humanoid Robotics

Best for: Executive, Investor, Entrepreneur

Related on AIssential

• #4:There are no AI-native enterprises — Enterprises resist AI-native transformation due to deeply entrenched internal organizational "physics" and economies.
• AI Didn't Replace Businesses, It Changed the Rules of Competition — AI is transforming business competition by redesigning operations around predictive decision-making and optimized workflows, not just automation.
• AI Is Coming For These Industries — AI's increasing usability is driving capital rotation from traditional software to AI-native industries.
• What AI-native companies do differently — AI-native firms redefine scaling economics by embedding AI into core production processes, leading to smaller, flatter organizations with similar valuations.
• The Fundamentals Didn’t Change. Your Strategy Should. — AI's transformative power stems from making existing principles economically viable at scale, not just its adoption.
• You’re not late to AI—you’re early to Frontier Transformation — AI transformation demands redesigning work within specific functions, driven by leadership sponsorship and an adaptive culture, not merely tool adoption.

See Counsel's argued verdicts on the open AI decisions leaders are weighing →

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.