Watching Costs More Than Acting: Don't Wait Out the AI Shift
In short
AI development is accelerating: what once took decades now happens in months. Swiss decision-makers who merely watch risk a gap that becomes harder to close with every product generation. This article explains why waiting is costly, how to start without an in-house AI team, and what early adopters already gain.
The Real News Is Speed
From the first stone tools, which evolved over millions of years, to today's AI breakthroughs that happen in months rather than decades: it is not any single technology that surprises decision-makers, it is the pace. Alvin Foo made this pattern clear in a widely shared LinkedIn post: the central question is no longer whether technology changes our lives, but whether you are equipped to use it.
For Swiss SMEs, this means digital transformation is not a project with a fixed end date; it is an ongoing task. Miss this window and you will only close the gap later with significantly more effort.
Watching is a decision with high opportunity costs.
Waiting Is a Decision with High Opportunity Costs
By watching, you are already making a decision: the decision to accept a gap. Every product generation that passes widens the distance between early adopters and observers. ChatGPT reached an estimated 100 million users within roughly two months, making it the fastest-growing consumer app in history by most estimates. Adoption is no longer a matter of years, but of weeks.
roughly 100 M
users within about 2 months: ChatGPT, by most estimates the fastest-growing consumer app in history
What Early Adopters Are Already Building
AI agents have moved from a niche topic in 2023 to productive building blocks integrated directly into ERP systems from Oracle, SAP and IBM. According to an SAP forecast, up to 60 percent of business decisions could be influenced by AI by 2028. That is not a distant future; it is the next two to three years.
60%
of business decisions could be influenced by AI by 2028, according to an SAP forecast (forecast, not a guarantee)
Real-world SME examples show what this means in practice: 30 to 40 hours of weekly administration drop to under 5 hours, and Swiss micro-enterprises reduce administrative time per case file by 58 percent. If you wait for a competitor to prove the case, you no longer have an advantage, you have imitation.
- Invoice and document processing, dropping from 30 to 40 weekly hours to under 5
- File and administration processes with 58 percent less time in Swiss micro-enterprises
- AI agents integrated into ERP and CRM systems instead of isolated chat tools
Getting Started Without an In-House AI Team: AI Outsourcing
The most common reason for watching is a lack of staff. But you do not need an in-house AI team to get started. AI outsourcing means an external partner takes over analysis, architecture and operations, effectively acting as an external AI department. First results often appear within roughly 12 weeks. That gets you moving faster than an internal build that consumes months and high salary costs.
The Three Gaps That Still Hold Swiss Companies Back
Technology is not the obstacle. Missing process readiness, unclear data quality and open questions around governance and revDSG are. These gaps are known, and they can be closed systematically once you stop watching and start acting.
Watching vs. Acting: A Decision Matrix
- Time to first results: Watching
- undefined
- Time to first results: Acting
- roughly 12 weeks
- Market gap: Watching
- grows with every product generation
- Market gap: Acting
- remains manageable
- Cost: Watching
- opportunity cost of missed savings
- Cost: Acting
- clear investment in a defined pilot process
- Risk: Watching
- risk of losing the connection to the market
- Risk: Acting
- bounded risk through a pilot
- Team building: Watching
- no learning effect
- Team building: Acting
- knowledge transfers into the company
Your First Step: Decide Instead of Continuously Observing
How to start without a big risk
Start with a single process that measurably consumes time. Define the goal, for example saving 10 hours of administration per week. After roughly 12 weeks you will see whether the pilot pays off. This approach keeps risk low and the learning effect high.
Conclusion: The AI Shift Does Not Wait
Watching is the most expensive position in a company today. The good news: you can start without an in-house team, and first results are measurable within weeks. Those who anchor AI as a management topic, rather than delegating it as an IT project, build exactly the lead that observers cannot catch up. For practical guidance, the Swiss AI podcast on making AI a management priority rather than an IT project is a good starting point.
Frequently asked questions
- Why is waiting on AI more expensive than acting?
- Because the gap grows with every product generation. What early adopters build today, such as productive AI agents in ERP systems, you will have to catch up on later under higher time and transformation pressure. Watching is therefore a decision with high opportunity costs.
- How quickly can a Swiss SME get first results without an in-house AI team?
- With AI outsourcing, first effects are often visible within roughly 12 weeks. An external partner handles analysis, architecture and operations, so no internal team is required.
- What is the difference between chat licenses and real AI agents?
- Chat licenses distribute AI as a superficial tool. Real AI agents act directly within core processes and core applications such as ERP systems and handle tasks autonomously. Competitive advantage comes from integration.
- What about data protection and revDSG in AI outsourcing?
- A serious AI outsourcing partner clarifies compliance with revDSG and, where applicable, the EU AI Act before you start. Clear rules on hosting, data processing and access are essential.
- Which processes are best for getting started?
- Processes with high, recurring administrative workload, such as invoice and document processing. Real-world SME projects show savings from 30 to 40 weekly hours down to under 5.
Sources
Chris Jon Graf · AI Strategist & CEO
For over 15 years, Chris Jon Graf has built productive Swiss software platforms and advised executive teams on the strategic deployment of artificial intelligence. Would you like to evaluate this topic for your company?