Q&A with Mark Cuban and Steve Case on investing in tech startups outside of Silicon Valley, how AI is changing the tech landscape, tech regulation, and more
In the short term, learning to code is good for your job prospects. But on the latest Recode Decode, Cuban explained …
Context & Ripple Effects
This 2019 Recode Decode conversation is an early statement of the thesis Steve Case would keep pushing: that the next generation of tech companies gets built outside Silicon Valley, a bet he restated in his 2022 heartland prediction even as the investment cycle turned. Cuban's contribution is complementary — where to put capital geographically, plus a pragmatic read on which skills survive AI.
On AI itself, the interview sits inside a running Vox-adjacent debate: Marc Andreessen had already argued AI can spawn a new generation of big, important companies (his 2016 case), and Vinod Khosla later took up the same question from the investor side, including AI's labor-market and regulation implications. Cuban and Case are the geographic-and-jobs wing of that same conversation.
First-order effects
- Cuban and Case are signaling their own capital allocation: both direct attention and money toward startups outside the coastal hubs, making non-Silicon Valley founders a pitchable audience for their funds and platforms.
- Cuban's short-term jobs claim — learning to code still pays — lands directly on students and career-changers weighing whether AI erodes programming as a skill investment.
Second-order effects
- Regional boosters and heartland investors gain a marquee-name endorsement to court follow-on capital, pressuring coastal VCs to justify why deal flow must stay in the Valley.
- Other prominent investors like Khosla are forced to engage the flip side of the same AI question — what automation does to the labor market and where regulation should bind — turning coding-advice soundbites into a broader skills-policy argument.
Third-order effects
- If Case's pattern holds, US tech geography disperses while AI-era returns may concentrate in a few large companies — the tension Andreessen flagged — leaving smaller hubs dependent on the winners' platforms rather than producing independent giants.
- The recurring appearance of regulation in these investor conversations points toward tech policy becoming a standard diligence variable, not an afterthought, for anyone funding AI-adjacent startups.
The trend: Venture capital is splitting between a decentralizing bet on startups outside Silicon Valley and an AI-driven pull toward concentration in a few dominant companies, with investors like Cuban, Case, Khosla, and Andreessen staking out opposite poles.