Reuters (January 5)
“The world economy is making a surprising habit of shrugging off unpleasant shocks…. Since 2020, the planet has weathered a global pandemic, inflation, sharply rising interest rates, and the outbreak of war without a major slump. In 2025, a tsunami of enthusiasm about artificial intelligence offset the disruptive effects of U.S. President Donald Trump’s trade turmoil, keeping economies and financial markets humming. Opposing forces are preparing to battle for supremacy again in 2026. The stage is set for a turbulent contest between gain and pain.”
Tags: 2020, 2026, AI, Disruptive, Financial markets, Gain, Global pandemic, Inflation, Interest rates, Trade turmoil, Trump, Unpleasant shocks, War, World economy
Time (December 29)
“This was the year when artificial intelligence’s full potential roared into view, and when it became clear that there will be no turning back or opting out. Whatever the question was, AI was the answer. We saw it accelerate medical research and productivity, and seem to make the impossible possible. It was hard to read or watch anything without being confronted with news about the rapid advancement of a technology and the people driving it.”
Tags: Accelerate, AI, Artificial intelligence, Impossible, Medical research, Possible, Potential, Productivity, Rapid advancement
MarketWatch (December 22)
“The kitchen sink was thrown at the economy in 2025 — punishing tariffs, higher inflation, rising unemployment — but the U.S. might still be growing at an above-average speed in a sign of surprising pluck.” Can the momentum continue? AI may deliver continuing investment and efficiency gains. In addition, 2026 “should also benefit from lower interest rates, relaxed tariffs, fewer taxes and regulations, and more government spending in a midterm-election year.”
Tags: 2025, 2026, AI, Economy, Efficiency gains, Inflation, Interest rates, Investment, Momentum, Regulations, Tariffs, Taxes, U.S., Unemployment
Bloomberg (December 12)
“AI is powering Trump’s economy, but American voters are getting worried.” The Wall Street consensus is “that AI has driven most of the gains on the S&P 500 this year” so that may make AI look like a hero. Among voters, however, there are “signs of an AI backlash, one that could amplify concerns about the cost of living and the job-market outlook in Trump’s economy.” Data center projects are increasingly being “blocked or delayed by local opposition” and roughly $98 billion in investment was “stymied in the second quarter, more than the total for all previous quarters since 2023.”
Tags: AI, Backlash, Blocked, Consensus, Cost of living, Data centers, Delayed, Economy, Gains, Investment, Job market, Opposition, Outlook, S&P 500, Trump, Voters, Wall Street, Worried
Wall Street Journal (December 7)
“Advertising spending will grow more than predicted in 2025 because tariffs didn’t take as big a bite as expected and AI provided a boost…. Global ad revenue excluding U.S. political advertising will grow 8.8% in 2025 to $1.14 trillion, WPP Media said, raising its forecast from the 6% it predicted in June,” while worldwide advertising is now expected to grow 7.1% in 2026, up from June’s forecast of 6.1%.
Tags: $1.14 trillion, 2025, 2026, 8.8%, Ad revenue, Advertising, AI, Forecast, Predicted, Spending, Tariffs, U.S., WPP Media
Bloomberg (November 15)
Next week a number of companies will release earnings results, and major retailers look primed to steal the show from “AI behemoth Nvidia” as traders seek to better grasp “the health of consumers and the economy.” Results from “Walmart Inc., Target Corp., Home Depot Inc. and other companies that sell the goods Americans buy are likely to overshadow Nvidia because they offer insights into spending patterns at a time when there’s scant data for Wall Street to go on.”
Tags: AI, Companies, Consumers, Economy, Health, Home Depot, Major retailers, Nvidia, Overshadow, Results, Spending patterns, Target, Traders, Walmart
Market Watch (November 13)
“Artificial intelligence has snowballed from a technological innovation to the growth driver of the entire economy and a national-security interest. Could it be on track to become too big to fail, leaving the U.S. government to hold the bag?” At the moment, there is no doubt that “Big Tech is betting everything on AI,” but there is less recognition that this gamble “could leave the U.S. government on the hook.”
Tags: AI, Big tech, Economy, Government, Growth driver, National security, Snowballed, Technological innovation, Too big to fail, U.S.
Axios (November 13)
In what security experts believe is “likely just the beginning,” Chinese hackers are suspected of using “Anthropic’s AI coding tool to target about 30 global organizations,” with some success. The perpetrators utilized “Claude’s agentic capabilities,” which allow the model “to take autonomous action across multiple steps with minimal human direction.” It appears “the dam is breaking on state hackers using AI to speed up and scale digital attacks.”
Tags: Agentic, AI, Anthropic, Chinese hackers, Claude, Coding, Digital attacks, Experts, Global, Human direction, Modelm Autonomous, Security, Suspected
The Guardian (October 25)
“The biggest owner of datacentres in the world, Amazon dwarfs competitors Microsoft and Google and is planning a huge increase in capacity as part of a push into artificial intelligence.” This has raised “concerns over how much water is being used to cool their vast arrays of circuitry,” as well as “criticism over transparency. Microsoft and Google regularly publish figures for their water consumption, but Amazon has never publicly disclosed how much water its server farms consume.” Based on partial disclosure, Amazon consumes at least as much water “as 958,000 US households, which would make for a city bigger than San Francisco.”
Tags: AI, Amazon, Capacity, Competitors, Criticism, Datacentres, Google, Microsoft, Partial disclosure, San Francisco, Server farms, Transparency, Water consumption
Harvard Business Review (October 17)
Artificial intelligence (AI) “is both far-reaching and fragile. Its long-term trajectory points toward redefining industries, reshaping work, and altering the balance of global power. In the near term, geopolitical rivalry combines with deregulatory policy and speculative capital, creating conditions that strongly resemble past bubbles. The lesson of history is not that bubbles render technologies worthless, but that they distort timing and expectations.”
Tags: AI, Bubbles, Deregulatory policy, Far-reaching, Fragile, Geopolitical rivalry, Global power, Redefining industries, Reshaping work, Speculative capital, Timing, Trajectory
