[ netdynamic // tech news ]

Silicon Valley’s Midterm Miscalculation

Silicon Valley’s leaders have built their reputations on foresight. Figures such as OpenAI’s Sam Altman and SpaceX’s Elon Musk, along with Meta’s Mark Zuckerberg, have long positioned themselves as people who can see decades ahead. Yet just five weeks before the midterm elections, many of these executives appeared together at the White House, posing with President Trump and endorsing his “Super Intelligence” agenda. For an industry that prizes long-range planning, the decision looked remarkably short-sighted, especially given polling that showed rising anti-Trump sentiment and bipartisan skepticism toward AI and data centers.

The fallout is already visible. Tech workers at OpenAI, Meta, and other firms report little public commentary from leadership since the election, and many are uneasy about potential legislation targeting data centers and how their companies will adapt to a Democratic-led Washington. Silicon Valley’s celebrated maxim of anticipating change rather than reacting to it seems to have been overlooked. By aligning so openly with one political movement, these leaders have tied their companies’ futures to a temporary administration and made AI infrastructure a partisan issue, complicating projects tied to grid access and permits.

The episode exposes a broader truth: expertise in technology does not automatically translate into political or economic judgment. Established corporations such as Chase and Boeing have historically engaged with both parties because their contracts and investments must outlast any single administration. Unlike software, public perception cannot be patched or rolled back. The industry’s misreading of the political moment has undermined the reputational goodwill it will need to build the infrastructure of the AI era, and it has punctured the myth that Silicon Valley’s leaders can always see what comes next.


Source: Silicon Valley claims to know the future. So why did it get the midterms so wrong? via MIT Technology Review