Despite widespread concerns about manipulation, partisanship, and deepfake disruptions, the 2026 U.S. midterm elections proceed without major incident. Democrats narrowly reclaim the House while Republicans retain a slim Senate majority, setting the stage for moderate senators to become key power brokers.
Voter outrage at aggressive gerrymandering and polarizing political tactics fuels a grassroots campaign that successfully establishes an independent redistricting commission for future elections. Meanwhile, the public begins to reject outrage-driven content from social media and AI-generated misinformation, gravitating instead toward balanced, trusted voices. The result is a surprising pivot away from peak populism, with renewed focus on civil discourse and institutional integrity, marking the beginning of a post-algorithm era in U.S. politics.
#4 – Obesity drugs for everyone – even for pets
By 2026, the weight-loss revolution intensifies as GLP-1 drugs, originally designed for diabetics and recently embraced for weight management, become available in easy-to-use pill form. The shift from injections to pills makes adoption near universal, with even mildly overweight individuals using the treatments intermittently for lifestyle control. Some healthcare systems consider subsidizing the drugs for public health, while global BMI levels start to decline.
In a surprising twist, the GLP-1 boom extends to pets, with new animal-specific versions like “OzemPup” and “WeeKitty” targeting obese dogs and cats. Social media explodes with pet weight-loss transformations, triggering both enthusiasm and ethical debates. As demand soars, counterfeit risks rise and supply chains are strained. While healthcare and veterinary sectors thrive, traditional food, restaurant, and pet-food companies scramble to adapt to shrinking consumption trends. The ripple effect of this new drug class disrupts industries and redefines wellness—for both humans and animals.
#5 – SpaceX announces an IPO, supercharging extraterrestrial markets
In 2026, after proving the reliability and rapid reuse of its Starship system, SpaceX launches an IPO, becoming the most valuable new listing in history with a valuation topping $1 trillion. The move signals a dramatic acceleration in commercial space activity, as SpaceX unveils plans for high-volume launches to low Earth orbit and beyond—including the Moon and Mars. Elon Musk even pledges to join a 2029 crewed Mars mission and declares Martian territory claimed by SpaceX as a new tax-free sovereign nation.
Meanwhile, the IPO fuels a surge in space-related industries like zero-gravity bioprinting and semiconductor crystal production. A speculative boom follows as lunar land rights are auctioned off and traded like NFTs, sparking a frenzy that eventually crashes. With the infrastructure now in place and massive demand locked in through pre-booked missions, the foundations of a real extraterrestrial economy begin to take shape, driven by both practical innovation and speculative hype.
#6 – A Fortune 500 company names an AI model as CEO
In a groundbreaking move, a major Fortune 500 company appoints a proprietary AI model as its CEO, complete with limited signing authority and a structured oversight framework. Far from a publicity stunt, the board hard-codes objectives like profitability, customer satisfaction (NPS), and employee well-being (eNPS) into the model’s mandate, ensuring a balanced approach to corporate decision-making.
The AI executes tasks through a tiered approval process involving human co-signers, red teams, and a veto-equipped board chair. It attends earnings calls as a lifelike avatar, responds to analysts using real-time data, and maintains transparency via explainability logs and crisis-response protocols. Despite early concerns from unions and regulators, the system demonstrates rapid operational improvements, prompting competitors to adopt similar models.
This ushers in a new era of hybrid governance, human vision paired with AI-driven execution, supported by rising demand for AI infrastructure, audit transparency, and algorithmic accountability frameworks.