$2.1 Trillion in AI Spending Forecast for 2026
Your competitors are in. Are you?
78% of companies use AI in at least one business function (McKinsey, The State of AI 2024). The question is less whether than where first.
The Change in Numbers
Current facts about AI transformation (as of late 2025 / outlook 2026)
Source Gartner, AI Spending Forecast 2025
Source McKinsey, The State of AI 2024
Source McKinsey, The State of AI 2024
Source McKinsey, The State of AI 2024
Cost comparison: traditional vs. AI
An illustrative model using a flat factor of 10 — an assumption for demonstration, not a measured project result
- Traditional
- AI-assisted
Data table
| Traditional | AI-assisted | |
|---|---|---|
| Market Research & Analysis | 8,000 € | 800 € |
| Content Creation (10 articles) | 5,000 € | 500 € |
| Data Processing & Reporting | 2,000 € | 200 € |
| Customer Service (24/7) | 12,000 € | 1,200 € |
| Document Review (1000 docs) | 15,000 € | 1,500 € |
Model Schematic illustration — not measured data.
Global AI Spending
The transformation is accelerating – exponentially
Spending in Billions $
From $1.5 to $2.1 trillion in 2026 — a Gartner forecast, not an actual figure.
Corporate AI Adoption
% of Companies
Last measured: 78% (McKinsey 2024). The 2025 and 2026 values are extrapolations, not surveys.
Industry Impact Matrix
Where knowledge work consists of research, review and documentation, automation bites hardest
Consulting
Research, analysis and presentations are largely automatable. Value shifts from preparing material to interpreting it.
Legal Services
Contract review, legal research and document creation are markedly accelerated. Legal responsibility stays with a human.
Marketing & PR
Content creation, SEO optimization, and campaign planning run automated. Traditional agencies lose against AI-powered competition.
Accounting
Booking automation, reporting, and tax returns become commodity. Tax advisors must focus on consulting instead of processing.
Human Resources
Recruiting, onboarding and employee support become partially automated. The admin share shrinks; the advisory share does not.
Financial Analysis
Market analyses, risk assessments, and portfolio management become AI-powered. Analysts without AI tools lose speed and precision.
Insurance
Claims processing, risk assessment and contract management become automated. New entrants start without a legacy of manual steps.
Real Estate
Valuations, market analyses, and document management become digitized. PropTechs with automation have massive cost advantages.
Healthcare Administration
Patient records, billing and appointment management become automated. The leverage sits in administration, not in treatment.
Competitive Disadvantage Without Automation
The impact values are an estimate, not a measurement: they reflect how large the share of rule-based routine work typically is in each sector.
Process Transformation in Detail
See how AI revolutionizes complete workflows
Market Analysis for New Product
Traditional Process
AI-Powered Process
Efficiency Gain
The AI-powered process is not just faster and cheaper – it's also scalable. While traditional processes scale linearly with employee count, automated processes can grow exponentially without proportional cost increases.
Contract Review (10 contracts)
Traditional Process
AI-Powered Process
Efficiency Gain
The AI-powered process is not just faster and cheaper – it's also scalable. While traditional processes scale linearly with employee count, automated processes can grow exponentially without proportional cost increases.
The Reality of Competition
Whoever has automated these processes can bid lower and still hold margin. The figures above are a model — your effect depends on your routine share.
The Next Wave: Agentic AI
AI agents take over complete workflows – not just individual tasks
While most companies are still experimenting with ChatGPT, pioneers are already scaling AI agents that autonomously handle entire processes.
What Agentic AI can do today:
Agentic AI is still early: 23% are scaling, 39% are experimenting. Picking one sharply scoped process now means learning on a manageable case.
The New Reality for Knowledge Workers
Exploration vs. Execution: Where Humans Are Still Needed
AI fundamentally changes what knowledge work means. Execution becomes automated – humans are needed for creativity and strategy.
Exploration Phase
Here humans remain indispensable
Execution Phase
Here AI takes over
The Critical Competency: Process Modeling
Those who cannot model and automate their processes will fall behind. The ability to understand and optimize workflows becomes a competitive advantage.
What Actually Shifts in Competition
Four effects you can observe – without the apocalypse
Price War
Whoever automates the preparation work can bid lower at the same quality. In price-driven tenders that counts.
Speed
While you need 4 weeks for an analysis, competition delivers in 3 days. Customers don't wait – they go to the faster alternative.
Scaling
Automated workflows scale with volume; manual ones scale with headcount. Past a certain size that is the margin difference.
Talent Drain
Top talent wants to work with modern technology. Those who don't offer AI tools lose the best employees to competition.
How the Market Is Likely to Develop
Now (2025)
78% of companies use AI in at least one business function (McKinsey 2024). Around $1.5 trillion flows into AI in 2025 (Gartner).
In 12 Months
Agentic AI becomes standard. 33% of all enterprise software will contain AI agents. Without an AI strategy, you're no longer competitive.
In 24 Months
AI-native companies set the cost expectation. Anyone who has automated nothing by then starts without any experience of their own.
Sources & Studies
All statistics are based on current studies from leading analysts (as of December 2025)
Where Do You Sensibly Start?
Not with an AI strategy, but with one process that pays for itself
We analyze your processes, identify automation potential, and show you where it pays off for you — and where it does not.
78% of companies use AI in at least one function (McKinsey 2024) — few of them where the return is largest.