The 'Together Tech' Countermovement: Why Founders Are Betting Against AI Hype in 2026
A wave of startups are raising capital for in-person, human-centric products—from social games to climate tech—while AI funding reaches record levels.
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A Bifurcating Startup Landscape
While artificial intelligence fundraising continues setting new records, a distinct cluster of founders is raising capital for ventures explicitly rejecting the AI-first playbook. According to TechCrunch AI’s Equity podcast, this “together tech” wave—encompassing in-person social experiences, climate innovation, and analog-friendly hardware—represents one of 2026’s most unconventional startup bets. Rather than pure market backlash, the trend reflects genuine founder conviction that profitable, venture-scale businesses exist outside the generative AI supercycle.
High-Profile Non-AI Capital Raises
The trend’s institutional credibility rests on several marquee funding announcements. Ex-Meta CTO Mike Schroepfer raised $250 million for climate technology, a contrarian move at a moment when venture capital has largely pivoted to AI infrastructure and applications. Simultaneously, Impulse, a rocket engine startup, secured $500 million while deliberately distancing itself from AI-centric narratives—explicitly framing capital deployment around human talent and manufacturing rather than compute optimization.
On the consumer side, Mirror founder Brynn Putnam launched Board, a startup focused on in-person games and social experiences. According to TechCrunch, the venture seeks to capitalize on genuine demand for offline, touch-friendly engagement—a thesis Cyberdeck enthusiasts validate through viral adoption of handcrafted, low-tech computing devices that encourage users to engage tactilely with hardware.
The IPO Backdrop and Capital Concentration
TechCrunch’s hosts contextualized the “together tech” movement against Anthropic’s confidential Securities and Exchange Commission filing and Alphabet’s $80 billion AI investment announcement. The framing raises an implicit question: even as downstream startups proliferate, is venture capital actually consolidating around incumbent AI labs and their corporate parents? The podcast suggests skepticism that non-AI verticals command proportional funding share relative to AI’s headline-grabbing scale.
Why This Matters
The “together tech” cohort may signal a genuine market segmentation—recognition that not every venture needs to ride AI’s infrastructure coattails to achieve scale. For founders in climate, social, and hardware categories, the trend validates differentiated positioning away from AI commoditization. However, if AI-adjacent funding continues dominating aggregate venture deployment, these “together tech” raises may remain tactically impressive outliers rather than harbingers of a broader capital reallocation. Investors watching second-order effects should monitor whether non-AI verticals capture sustained fundraising momentum through 2026’s remainder or plateau as AI labs consolidate their competitive moats.
Frequently Asked Questions
What is 'together tech' and why is it gaining traction?
According to TechCrunch, 'together tech' refers to startups building in-person, human-centric experiences—games, social platforms, DIY computers—as a deliberate counterpoint to AI-dominated fundraising. It reflects genuine founder interest in products that encourage offline engagement rather than backlash alone.
Who are the key founders backing this trend?
Mirror founder Brynn Putnam launched Board, a startup focused on in-person social gaming. Mike Schroepfer, ex-Meta CTO, raised $250 million for climate tech. Impulse, a rocket engine startup, secured $500 million and emphasized spending on people rather than AI infrastructure.
Is this trend sustainable given AI's funding dominance?
While Alphabet announced an $80 billion AI investment, TechCrunch's hosts questioned whether capital is consolidating around incumbents. The 'together tech' wave may represent a genuine market bifurcation, though the podcast suggests skepticism about whether the trend persists as AI funding accelerates.