The History of AI, Part 5: Outlook 2026 – What Comes Next?

Where Are We in Early 2026?

We've arrived at a remarkable point. In just four years – from ChatGPT's launch in November 2022 to today – AI has evolved from a curiosity to the central technology of our time. What comes next?

The Big Trends of 2026

1. AI Agents Become Autonomous

2025 laid the groundwork. 2026 will be the year when AI agents truly work independently:

• Complete workflows – not just individual steps, but entire process chains
• Tool usage – Agents navigate software, fill out forms, communicate
• Error correction – Agents recognize and correct their own mistakes
• Collaboration – Multiple agents coordinate with each other

monday.com has already started with monday Agents – AI agents that act directly within work management boards.

2. Multimodal AI Becomes Standard

The boundaries between text, image, audio, and video continue to blur:

• Real-time video analysis – AI understands live what's happening in a meeting
• Speech-to-action – Voice commands trigger complex workflows
• Generative video – Professional videos in minutes instead of days
• Spatial AI – Understanding of 3D spaces and the physical world

3. AI-Native Companies Emerge

A new generation of companies is being built from day 1 around AI:

Traditional	AI-Native
AI as add-on	AI as core
Manual processes optimized	Processes designed around AI
Employees use AI tools	AI agents as team members
Data-driven decisions	AI-supported decisions

4. The Cost Revolution

AI models are becoming dramatically cheaper:

• Open-source models reach enterprise quality
• Specialized small models replace expensive general-purpose models
• Edge AI enables local processing without cloud costs
• Competition between providers pushes prices down

5. Ethics and Governance Get Serious

After the EU AI Act, 2026 brings the practical questions:

• How do you document AI decisions?
• Who is liable when an AI agent makes a mistake?
• How do you secure AI systems against manipulation?
• How do you ensure fairness and freedom from bias?

What This Means for the Working World

The Skills That Matter

In 2026, different capabilities gain importance:

1. AI Literacy – Understanding what AI can and can't do
2. Prompt Engineering → System Design – Not individual prompts, but designing entire AI systems
3. Critical Thinking – Evaluating and contextualizing AI output
4. Creative Problem Solving – Asking the questions AI doesn't ask
5. Emotional Intelligence – What machines can't do (and perhaps never will)

Our Perspective at Till Freitag

We see three things we're sharing with our clients in 2026:

1. Start now – If you don't have an AI strategy by 2026, you're late
2. Think in workflows, not tools – The right question isn't "Which AI tool?" but "Which process benefits most?"
3. People First – The best AI implementations make people better, not obsolete

The AGI Question

Will we reach Artificial General Intelligence – an AI that can do everything a human can? Opinions diverge:

• Optimists (like Sam Altman) say: 2026–2028
• Realists say: We're seeing impressive narrow AI, but AGI is a different game
• Pragmatists (like us) say: It doesn't matter. Today's AI is already changing everything. Whether it's "generally intelligent" is irrelevant to your daily work.

Conclusion: The Best Time Is Now

In 10 years – from AlexNet to autonomous AI agents – more has changed than in the 50 years before. And the pace is accelerating.

But here's the good news: You don't need to be an AI expert. You need the right tools, the right partners, and the willingness to try new things.

We help you with that. That's our job. Every day, from Monday to Freitag. 🖤

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This was Part 5 of our series "The History of AI." The complete series:

1. Foundations (2012–2017)
2. The Language Revolution (2018–2020)
3. The ChatGPT Moment (2022–2023)
4. AI Becomes Infrastructure (2024–2025)
5. Outlook 2026 (this article)