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News articleMIT Technology Review

Building tech in the world’s secret R&D hub

View original at technologyreview.com
MIT Technology Review - Ai Research Title: Building tech in the world’s secret R&D hub Date: 2026-06-30 10:23 Source: https://www.technologyreview.com/2026/06/30/1139661/building-tech-in-the-worlds-secret-rd-hub/ <p>Apple…
Opening lines of the source · MIT Technology Review · short snapshot — read the full document at the original

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  • Switzerland ranked number 1 in the IMD World Talent Ranking for the 10th consecutive year, leading globally in investment, development, and talent appeal

    60% confidence
  • The Zurich AI Festival will bring together more than 6,500 guests from September 28 to October 3 with more than 35 confirmed events

    60% confidence
  • Over 60% of Swiss venture capital is invested in deep tech—the highest share globally by a large margin and nearly twice the share of major economies like Germany, France, and the UK

    60% confidence
  • Switzerland ranks first globally for AI researchers and inventors per capita, with 110.5 per 100,000 inhabitants—ahead of Singapore (109.5), Sweden (80.6), and the United States (64.8)

    60% confidence
  • Greater Zurich Area has higher Big Tech density than Silicon Valley in certain areas

    60% confidence
  • Switzerland leads the world in patents per capita

    60% confidence
  • At $1,470 invested per capita, Switzerland commits more to deep tech per capita than any other country in Europe

    60% confidence
  • Switzerland invests over 3.3% of GDP in research and development

    60% confidence
  • Switzerland has ranked first in the Global Innovation Index for more than a decade

    60% confidence
  • ETH Zurich ranks among Europe's leading universities for deep tech commercialization, generating more than 40 spin-offs and startups in 2025 alone

    60% confidence
  • This content was produced by the Greater Zurich Area and was not written by MIT Technology Review's editorial staff

    60% confidence
  • Google engineers teach at ETH Zurich, and ETH graduates join companies such as Anthropic

    60% confidence
  • To assemble the greatest search team in the world, Exa.ai must be where the top talent is, and many of those people are in Greater Zurich

    60% confidence
  • Silicon Valley remains unmatched in scale, venture capital, and frontier model development, but Switzerland serves as a strategic complement for accessing specialized talent and leading research

    60% confidence
  • Former Google Switzerland employees alone have founded approximately 210 companies and created around 2,600 jobs over the past two decades

    60% confidence

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Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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