2026 Work Trend Index report reveals how Frontier Firms are rebuilding the operating model for the age of AI

Read this article in Thai

Spend time with any software engineering team right now and you’ll see something worth paying attention to. Over the last few years, the way software gets built has moved through four distinct patterns of human-agent collaboration – and the same patterns are beginning to show up across other functions of the firm.

• Author: You’re producing the work, calling on AI to help as needed – a line of code, a sentence, a chart.
• Editor: You set the intent and AI creates the first draft for you to edit and approve.
• Director: You create a spec and hand off entire tasks for AI to execute in the background.
• Orchestrator: You design a system where multiple agents run in parallel across a workflow, flagging exceptions and escalations to you.

Every business leader knows the world is changing, but far fewer have a clear picture of what to do about it. These four patterns are the place to start. The real work ahead for leaders is redesigning their firm’s operating model around the collaboration patterns.

As agent use increases, human involvement doesn’t disappear – it changes shape. What declines is the amount of tactical, step-by-step execution work humans do themselves. And what rises is the need for humans to set direction, define standards and evaluate outcomes.

Ultimately, the goal is not to move every task and business process to the fourth pattern. Instead, it’s up to leaders to help their organizations develop clarity around matching workstreams to the right collaboration pattern. That’s the shape of the Frontier Firm: defined by how deliberately leaders design work across functions, matching the level of human involvement to the outcome. 

What the data shows

Our 2026 Work Trend Index research reinforces this shift across roles and industries. We analyzed trillions of anonymized Microsoft 365 productivity signals and surveyed 20,000 workers using AI across 10 countries, then extended this research to 11 additional markets – including Thailand – as part of a dedicated regional wave using the same methodology. We also spoke with leading experts in AI, work and organizational psychology to help us unpack the insights from the data and understand where all this is going. The conclusion is consistent: the constraint is no longer what people can do, it is how work is structured around them.

• AI lifts individual potential. A privacy-preserving analysis of more than 100,000 chats in Microsoft 365 Copilot shows that 49% of all conversations support cognitive work – helping workers analyze information, solve problems, evaluate and think creatively. This shift is already visible in output, with 75% of AI users in Thailand saying they’re producing work they couldn’t have a year ago – notably higher than the global figure of 58%. This rises to 86% among Thai Frontier Professionals, the most advanced AI users in our research. Additionally, when Thai AI users wereasked which human skills are most important as AI takes on more work, they said two topped the list: quality control of AI output (53%) and critical thinking – that is, analyzing information objectively and making a reasoned judgment (45%). 
• The Transformation Paradox. We are seeing a pressure point emerge within the organization where the pull to perform collides with the push to transform. 85% of AI users in Thailand fear falling behind if they don’t use AI to adapt quickly – a full 20 points above the global figure of 65%. 60% of Thai users, compared to 45% globally, say it feels safer to focus on current goals than to redesign work with AI. Meanwhile, 32% of Thai workers say they’re rewarded for reinvention of work with AI even if results aren’t met – more than double the global average at 13%. While Thai organizations appear to be more open to experimentation than global peers, the same forces accelerating AI adoption are holding back this process.
• The organization drives the difference. In Thailand, 32% of workers are Frontier Professionals – double the global average of 16% – and 51% say their leadership is clearly and consistently aligned on AI, compared to just 26% globally. A deeper look at manager and team data shows what this looks like in practice: Thai Frontier Professionals are far more likely than their Non-Frontier counterparts to have managers who openly use AI (92% vs. 77%), create space for experimentation (93% vs. 82%), and encourage more ambitious work redesign (94% vs. 79%). When leadership aligns, the rest of the organization tends to follow.

The firms that build a new operating model today won’t just move faster in the short term. They’ll build something more durable, setting themselves up to create value in ways that we can’t yet conceive of: an organization that learns faster than its competitors, compounds its own intelligence and gets harder to catch with every cycle.

For deeper analysis, see the 2026 Work Trend Index Report.