AI Hype or Real Craft? Thomas Hutter in conversation with Oliver Gassner
The gap between doers and those who prefer to sit out the AI topic is widening relentlessly. In the #how2ai podcast with Oliver Gassner, I speak plainly about why waiting is a damn bad strategy and how we at AIghty20 Elevate implement radical efficiency in practice. Spoiler: A bad process simply remains a digitized crap process, even with AI.
The gap between companies that are progressively adopting AI and those that want to sit out the topic is widening relentlessly. Those who stand still now will incur massive disadvantages in the medium term. AIghty20 Elevate founder Thomas Hutter discussed precisely this dynamic and the reality behind the current AI hype in the #how2ai podcast with Oliver Gassner.
The discussion focused on AIghty20 Elevate's philosophy and what radical efficiency looks like in practice. Thomas Hutter illustrated this with their own setup: With a core team of just three people, the company now manages a workload volume - thanks to the targeted use of virtual agents and smart automation - that would have previously required a 10-person agency staff.
A deeper dive was taken into their in-house Member Hub. The platform offers registered users free access to over 1000 battle-tested prompt templates, an extensive use case library, and business ROI and API price calculators. The goal: to provide companies with the practical tools to achieve real efficiency gains instead of getting stuck in theoretical concepts.
Key takeaways from the talk:
- Context is everything: A well-structured prompt with clear context and a defined role significantly outperforms superficial inputs and saves time-consuming iteration loops.
- Don't digitize errors: A bad process remains a digitized crap process, even with AI. The structure must be right first, then automation follows.
- Keep dependencies in mind: The temporary blocking of models like Anthropic's "Fable" for foreign users demonstrates how risky blind reliance on US infrastructures can be for productive business processes. Therefore, sovereign, GDPR-compliant alternatives are gaining massive importance.
- Against anthropomorphization: AI systems are highly developed statistical text tools. Anthropomorphizing them - or even wasting valuable energy on polite phrases in prompts - misses the actual purpose.
The complete, nearly hour-long discussion provides concrete insights into daily agency operations and the strategic direction of modern AI consulting.
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