Key Takeaways
- The UCSB Economic Forecast Project, now aided by AI coding agents, predicts that artificial intelligence will reshape—but not eradicate—jobs, echoing past technological revolutions.
- Housing affordability remains a critical issue; Santa Barbara’s lengthy permitting process contrasts sharply with Austin, Texas, where a 30 % housing‑stock increase (120,000 units, 2015‑2024) helped curb inflation‑adjusted rents.
- Experts urge policymakers to treat housing, healthcare, and education cost spikes as policy failures rather than technology shortcomings, advocating for leaders who embrace AI’s potential.
- Igor Mezić stresses the need for “context‑aware, adaptive, reasoning AI” that is benevolent, warning that society’s choices will determine whether AI brings progress or ruin.
- Zack Kass argues that automation has historically benefited humanity collectively, calls for a non‑resident property tax to curb vacancy hoarding, and opposes rent‑control measures that discourage new construction.
Overview of the Economic Summit and Forecast Project
The annual UC Santa Barbara Economic Summit convened last week at The Granada Theatre, drawing academics, industry leaders, and community members to discuss two pressing topics: artificial intelligence and housing. Peter Rupert, a UCSB professor of economics and executive director of the UCSB Economic Forecast Project, presented the latest analysis, noting that AI coding agents were employed to help assemble the report. “The Economic Forecast Project has offered Santa Barbara County and the Central Coast a look at local real estate, housing and economic data since 1981,” Rupert reminded the audience, underscoring the project’s four‑decade legacy of data‑driven insight.
AI’s Impact on Employment
Rupert challenged the prevailing fear that AI will trigger mass unemployment, framing it as the latest chapter in a long line of technological revolutions. “Will AI cause mass employment? I can tell you every technological revolution throughout history, people ask the same question. Because it affects people,” he said. “Every time, however, the answer has been no. It has not created mass unemployment. It has created jobs, and it has also lost jobs.” He illustrated this pattern with historical examples: the decline of carriage‑and‑wagon makers and blacksmiths gave rise to auto workers, mechanics, and truck drivers. Rupert predicted that many jobs emerging from the AI revolution “don’t exist yet,” emphasizing that transition costs—though real and potentially multi‑generational—are outweighed by long‑term job creation.
Housing Market Comparison and Policy Insights
Turning to housing, Rupert compared California’s rental trends with those of Austin, Texas, highlighting supply‑side dynamics. “Austin has seen a decrease in rents, adjusted for inflation, as it has drastically increased its housing stock amid a growing population. The city built 120,000 units between 2015 and 2024, a 30 % increase,” he reported. In contrast, the U.S. housing stock grew only 9 % over the same period. He pointed out the stark disparity in permitting timelines: “It takes, on average, 22 days to get a permit to build in Austin; in Los Angeles, it takes 180 days, and in San Francisco, 760 days.” These figures, Rupert argued, illustrate how regulatory bottlenecks exacerbate affordability crises, while streamlined approval processes can relieve pressure on rents.
Perspectives from Igor Mezić on AI Ethics and Future
Igor Mezić, a distinguished UCSB professor and Mosher Endowed Chair in Mechanical Engineering, shifted the conversation from economics to the philosophical underpinnings of AI. He described AI’s evolution, distinguishing “traditional AI” that relies on explicit prompts or programming from “agentic AI,” which operates without direct human input. “There’s progress to be made, a lot of it,” Mezić declared. “There are also worlds to be ruined.” He urged the audience to shape AI deliberately, advocating for a “context‑aware, adaptive, reasoning AI” that is “benevolent.” According to Mezić, the technology’s trajectory will influence everything from commerce to societal interactions, and the responsibility to steer it toward beneficial outcomes lies with policymakers, engineers, and citizens alike.
Zack Kass on Automation Benefits and Housing Solutions
Zack Kass, global AI advisor and former head of go‑to‑market at OpenAI, brought a pragmatic perspective, emphasizing the collective economic gains from automation. “We are all descendants of people whose jobs were automated to our collective economic benefit, and we never think twice about them,” Kass said. “We celebrate the fact that we don’t have to do the work they did.” He warned against the “zombie apocalypse” mindset—where individuals welcome automation for others’ jobs but resist it for their own—arguing that such double standards hinder progress. Kass linked AI’s promise to urgent policy challenges, asserting that high costs in housing, healthcare, and education stem from “policy failures,” not technological shortcomings. He called for electing leaders who recognize AI’s positive impact and proposed a non‑resident property tax, citing Montecito’s 56 % vacancy rate as evidence of housing hoarding. “The way out of a housing crisis is to build more housing,” Kass insisted, echoing Rupert’s Austin example and criticizing Santa Barbara’s pursuit of rent control, which he believes disincentivizes new construction.
Conclusion: Integrating AI Insights with Housing Policy
The summit’s discussions revealed a common thread: both AI and housing require forward‑looking, evidence‑based policies that balance innovation with equity. Rupert’s data‑driven optimism about AI’s job‑creation potential, Mezić’s ethical call for benevolent, adaptive systems, and Kass’s advocacy for supply‑side housing reforms and sensible taxation together form a roadmap for Santa Barbara and the broader Central Coast. As the region grapples with rising costs and rapid technological change, the insights shared at the Granada Theatre suggest that embracing AI—while simultaneously dismantling regulatory barriers to housing—could yield a more prosperous, inclusive future. The Economic Forecast Project’s continued work, now augmented by AI itself, will remain a vital tool for tracking these intertwined trends.
UCSB Economic Summit Offers a Largely Positive Look at Artificial Intelligence