Boston's tech collapse is a warning for San Francisco: regulatory overreach kills innovation ecosystems
Jan 7, 2026
Key Points
- Massachusetts' millionaire's tax and 6.4% SaaS sales tax cost Boston its tech ecosystem by making it uncompetitive against Austin and other low-tax states, a playbook San Francisco now risks repeating with Prop M.
- Boston's venture capital culture of extracting side deals from founders created persistent distrust that cascaded into talent flight: the city has five VPs of engineering capable of scaling companies versus San Francisco's 600.
- Tech leaders lack a narrative explaining innovation's moral importance to ordinary voters, who see AI as wasteful and predatory; without that story, regulatory hostility and value extraction will spread across the U.S. ecosystem.
Summary
Boston's collapse as a tech hub offers a cautionary template for San Francisco, according to an essay by Will Manitis. Three forces killed Boston's innovation ecosystem: aggressive taxation designed to extract value from business, cultural capture within elite institutions that prevents self-policing, and a cascading talent drain once the ecosystem loses critical mass.
The fiscal pressure is concrete. Massachusetts imposed a millionaire's tax that costs a $10 million founder $860,000, versus zero in Austin. The state also charges 6.4% sales tax on SaaS revenue, while most states tax software not at all. Massachusetts only conformed to federal R&D tax rules in 2022, decades after competitors did. The cultural problem runs deeper. Boston-based venture investors have earned a reputation for extracting side deals and offmarket terms from founders after liquidity events, creating a persistent trust deficit that no single policy can fix.
Once talent networks evaporate, the feedback loop tightens. San Francisco has 600 VPs of engineering who can scale companies from 25 to 500 people. Boston has five, and they're leaving for higher comp and better odds. Junior talent flees each summer. As the ecosystem shrinks, remaining investors and operators resort to predatory pricing with seed rounds closing at $10 million valuations that would be laughable elsewhere, and shadier tactics to recoup lost yield.
Manitis argues this same dynamic is lining up in San Francisco. The city faces Prop M (office vacancy tax) and regulatory treatment of tech as a cash cow. The AI boom has attracted bad actors, and the same elite insularity that prevented Boston from cleaning house is setting in on the West Coast. Boston's loss cost the country a few hundred billion in enterprise value. San Francisco's would erase a third of U.S. GDP growth over the past decade.
The deeper failure is narrative. The tech industry has not articulated why innovation matters to ordinary voters. The median American sees AI as water-wasting, power-hungry, prone to scamming grandparents and exposing children to gambling and adult content. If the industry's best pitch is better chatbots for sports betting, voters will rationally choose to cage the sector. Technology is the only mechanism for escaping the Malthusian trap, but the industry has substituted AGI hype for a coherent theology of progress. Until leaders articulate innovation as a moral imperative rather than a rationalist inevitability, expect the entire U.S. tech ecosystem to follow Boston's path: taxed, looted, exhausted.
The industry lacks a figure with the earnestness and scale of Steve Jobs. Jobs could pitch stock options as a technical question about incentive alignment or describe computers as bicycles for the mind, because he was larger than life and genuinely believed in the technology's human impact. Current leaders such as Elon, Sam Altman, and Dario Amodei trigger hostility when they discuss AI, even when saying optimistic things. The rationalist culture of AI compounds this by assuming insiders already understand why AI is good and focusing instead on convincing them it's safe. Ordinary people know only Terminator narratives and job-displacement warnings. What's missing is someone willing to dwell on tactile, immediate benefits such as a free doctor in your pocket, the ability to learn languages, or the ability to create art, without seeming like a Steve Jobs impersonator.
One structural constraint complicates the narrative problem: AI's capital intensity. Apple built low-capex products that could fund themselves through sales. AI requires massive upfront infrastructure spending and must convince financial markets to fund it. That forces messaging toward Wall Street as much as the public, diluting the kind of pure product optimism Jobs could afford.