Executives from Ramsey Theory Group will be in attendance as leaders from Apple, Meta, Qualcomm, Microsoft, and NVIDIA take the main stage.

Ramsey Theory Group (RTG), a technology services and AI-driven software innovation firm led by founder and CEO Dan Herbatschek, today announced its attendance at Web Summit 2025 in Lisbon, Portugal (November 10-13, 2025) at the MEO Arena & FIL-Feira Internacional de Lisboa. Herbatschek is also the CEO of Erdos Technologies, a leader in enterprise software development and digital transformation.

“At Web Summit we will engage with clients, partners and industry leaders to advance how AI is being applied in real-world enterprise use cases, spanning the industries we serve—automotive retail, field service & construction, healthcare and logistics,” said Herbatschek. “We believe that the current narrative in the media of an ‘AI bubble’ misunderstands the scale and runway of enterprise AI spending in 2026 and beyond—and this will be explored in-depth at Web Summit.”

Multi-Industry AI Growth Underway

Ramsey Theory Group's positioning is underpinned by significant global data points that indicate a large-scale, sustained adoption of AI by major industries .

• Global Spending: According to Gartner, Inc., global AI spending in IT markets is expected to reach approximately US$2.02 trillion in 2026, growing $\approx 36\%$ year-over-year.
• Logistics: AI innovations in this sector could reduce costs by 15%, optimize inventory by up to 35%, and boost service levels by 65%, reflecting vast value creation.
• Automotive: The global AI market is projected to increase from US$4.71 billion in 2025 to US$5.80 billion in 2026, with a long-term trajectory towards tens of billions by the early 2030s.
• Retail: The "AI in Retail" market is estimated at US$14.4 billion in 2025 and projected at US$17.8 billion in 2026.

“Numerous indicators reflect not a ‘bursting AI bubble’ but a broadening and deepening of enterprise AI investment—especially across the four verticals Ramsey Theory Group serves,” continued Herbatschek. “I believe this momentum is less about hype and more about the hard work of turning AI from experiment to enterprise value. The data show clearly that 2026 will not be a slowdown but a scaling year.”

Why There is No “AI Bubble”—And Why 2026 is an Inflection Year

Herbatschek asserts that the AI growth is structural, not speculative, due to several key factors:

• Deployment over Experimentation: Enterprises are moving from pilot and experimentation into large-scale deployment of AI solutions: production infrastructure, governance, and operationalization (agentic AI, workflow automation, digital twins) are becoming standard-practice.
• Compound Growth: The growth projections show compound growth continuing for years. The demand curve has not flattened—organizations across key verticals are each accelerating AI budget allocation.
• Structural Tailwinds: Verticals like automotive retail, field service/construction, healthcare, and logistics are facing intense pressures (tighter margins, labor shortages) that mandate investment in AI to optimize and differentiate.
• Broad Runway: Many organizations have only scratched the surface of data maturity and ecosystem readiness; thus, 2026 is poised to be a significant expansion phase as enterprises catch up.