What do a 19th-century explorer and your small business marketing have in common? Everything. Discover how Alexander von Humboldt’s belief in nature’s interconnectedness can help you create a marketing plan that grows like a thriving ecosystem, where every piece supports the whole.
by Susie Taylor
A Record Wall Street Close, Fragile Hormuz Ceasefire Diplomacy In Doha, And A Broken AI Trust Pact Between Alibaba And Anthropic Are Resetting The Third-Quarter Playbook For Executives Watching Oil Prices, Interest Rates, Canada's GDP Rebound, And The Global Race For AI Infrastructure Capital Now.
Oil down 40% from peak, SpaceX at $161, Europe hitting highs, Germany acting, Britain changing leadership — the wartime assumptions that defined H1 2026 are being replaced in real time.
Three of the world's economic architectures hit decision points within 72 hours: central bankers publicly diverged at Sintra, Washington declined to extend the USMCA, and a July 4 EU tariff deadline looms — while Japan's business sentiment hit an eight-year high and US labor data cracked.
North American trade risk, cooling AI momentum, U.S. labor data, and market caution define a business day where investors are watching whether policy uncertainty becomes a real drag on growth.
On Canada's 159th birthday, WBN counts 159 ways a nation of 42 million has shaped medicine, science, sport, culture, and the global economy. PS: There was a lot we didn't know...and should!
The Fed, ECB, and Bank of Japan are all leaning hawkish at once as a war-driven energy shock hits every major economy together, even as China's exports rebound, Europe's growth stalls, and a fragile Hormuz reopening drives a 30% quarterly oil price drop.
As H1 2026 closes, a single theme dominates the global business landscape: AI is no longer being judged on its promise — it is being judged on its performance. Markets, regulators, and capital allocators are all asking the same question at once.
The second half of 2026 opens with a structural question that did not exist a month ago: who decides when the most capable AI models reach the public, the company that built them or the government reviewing them first.