AI Newsletter

The CEOs of Anthropic (Dario Amodei) and Google DeepMind (Demis Hassabis) jointly advocated for a US-led international AI coalition at the G7 summit in Évian-les-Bains – Canada has already agreed. Altman (OpenAI) and Mensch (Mistral) also participated in a working dinner with G7 heads of state and government. This marks a historic watershed: AI is no longer purely a technical topic, but a subject of geopolitical power architecture at the highest level.

According to MIT analysis, approximately 95% of all enterprise GenAI pilot projects deliver no measurable profit and loss contribution. The industry produces enormous output, but hardly any real outcomes – the distance between demo and productive everyday operations is the actual market opportunity for 2026. For providers of implementation solutions and AI-native workflows, this is a strong market signal.

At the YC Demo Day Spring 2026, 173 of 196 companies explicitly positioned themselves as AI or agent startups – only 23 did not mention AI. This figure illustrates how completely AI has become the standard building block of every new enterprise. Investors and founders thus face the problem of differentiation: whoever is not AI-native is considered unfundable.

Visa announced a partnership with OpenAI at the Visa Payments Forum (June 10) that enables AI agents to independently process purchases via tokenized credentials – Mastercard is following with similar rails. This is the first major step toward genuine autonomous purchasing power for agents and fundamentally changes e-commerce, B2B procurement, and financial infrastructure.

Gartner predicts that 60% of all ongoing AI projects will fail by 2028 – primarily because companies do not build a semantic layer between raw data and AI models. This complements MIT's pilot findings and provides a structural explanation for the ROI gap. For enterprise software providers, this is a direct product opportunity; for clients, it is a warning signal to prioritize data strategy before model selection.