For the last few years, the narrative surrounding artificial intelligence has been dominated by a cycle of technical escalation: larger datasets, more powerful GPUs, and the breathless promise of “superintelligence.” But a new shift is occurring. The industry’s leading players are no longer just selling software. they are selling a social contract.
OpenAI recently pivoted from product updates to a 13-page policy proposal titled Industrial Policy for the Intelligence Age. Rather than announcing a new version of ChatGPT, the company is now calling for a reimagining of how society functions in the face of automation. It is a calculated move that suggests AI companies image problem has reached a critical mass, prompting a strategic shift from technical demos to high-level policy advocacy.
This effort to reshape public perception is not limited to OpenAI. Its primary rival, Anthropic, has launched the Anthropic Institute, a dedicated think tank designed to explore the societal disruptions caused by AI growth. Together, these moves signal an industry that recognizes a growing gap between its corporate ambitions and public trust.
The urgency of this pivot was echoed by OpenAI CEO Sam Altman during a recent appearance at a BlackRock conference in Washington DC. Altman acknowledged significant “headwinds,” noting that AI is currently “not very popular in the US.” He specifically cited public anger over electricity price hikes linked to energy-hungry datacenters and the tendency for companies to blame AI for layoffs, regardless of the actual cause.
The “People-First” Playbook
The core of the current strategy is a transition toward “people-first” rhetoric. In its latest policy paper, OpenAI has moved away from suggesting that workers simply “adapt” to the technology. Instead, the document proposes systemic changes to the American economy to build a “resilient society.”
Among the most headline-grabbing proposals are the advocacy for a four-day perform week and the creation of a “public wealth fund.” The latter would essentially return AI-generated profits directly to citizens, a modern iteration of the universal basic income (UBI) concept that has long been a favorite of Silicon Valley theorists.
The company frames these ideas not as final solutions, but as a “starting point for a broader conversation.” The paper argues that if policy does not keep pace with technological change, existing safety nets will fail as the world moves toward superintelligence.
To further embed itself into the policy ecosystem, OpenAI is establishing a Washington DC office featuring a “workshop” for policymakers and non-profits. This follows the company’s acquisition of the tech-focused podcast TBPN, a move aimed at controlling the narrative in the spaces where tech-savvy influencers and regulators congregate.
A Deepening Trust Deficit
The push for policy papers and think tanks is a response to startling data regarding public sentiment. The industry is grappling with a pervasive distrust that extends beyond fear of job loss to a general skepticism of AI as a societal force.
A Pew Research Center survey released in September 2025 revealed that only 16% of Americans believe AI will aid people think more creatively, and a mere 5% believe it will help humans form more meaningful relationships.
The numbers are even more stark in political polling. A recent NBC News poll found that only 26% of voters hold a favorable opinion of AI. Most strikingly, the technology’s net negative rating was only two percentage points above that of U.S. Immigration and Customs Enforcement (ICE), highlighting a profound level of public antipathy.
This distrust is fueled by a combination of factors: the industry’s own early warnings about existential risk, economic anxiety over algorithmic displacement, and a general weariness of “Substantial Tech” dominance. This has manifested in a growing movement of opposition to the construction of massive datacenters and an increase in state-level bills seeking to restrict AI deployment.
The Lobbying Paradox
Although the public-facing documents emphasize social welfare and “guardrails,” critics argue that the internal corporate strategy is focused on the opposite: deregulation.
Sarah Myers West, co-executive director of the AI Now Institute, suggests that the “people-first” rhetoric serves as a smokescreen. While OpenAI’s papers sound supportive of oversight, the company has simultaneously lobbied for an administration that takes an aggressive deregulatory stance.
The financial scale of this influence is substantial. In 2025, OpenAI spent nearly $3 million on lobbying. Meanwhile, the company’s president, Greg Brockman, co-founded a pro-AI Super PAC that raised more than $125 million last year. This PAC has already engaged in aggressive political activity, including running ads in New York against congressional candidate Alex Bores, who supports stricter AI regulation.
Anthropic has followed a similar path, investing more than $3 million in its own lobbying efforts. While Anthropic’s Super PAC has different goals and is more open to certain types of regulation, the overall industry alignment remains closely tied to the current White House’s deregulatory agenda.
| Entity | Public-Facing Move | Political/Financial Action |
|---|---|---|
| OpenAI | “Industrial Policy” Paper / DC Workshop | ~$3M Lobbying / $125M+ Super PAC |
| Anthropic | The Anthropic Institute | >$3M Lobbying |
| US Public | 26% Favorable Opinion (NBC Poll) | Growing datacenter opposition |
Capturing the Intellectual High Ground
Beyond direct lobbying, AI firms are attempting to institutionalize their influence by absorbing the academic community. There has been a noticeable trend of corporate labs hiring formerly independent researchers and academics.
This shift has changed how AI research is shared. According to Myers West, these labs are increasingly moving away from peer-reviewed journals—where findings are scrutinized by independent experts—toward in-house publications. This allows companies to maintain greater control over the data and the narrative surrounding their breakthroughs.
This consolidation of intellectual authority creates a conflict of interest. When the people defining the “social contract” for AI are employees of the companies that stand to profit from its unregulated growth, the independence of the research is called into question.
The battle for the soul of AI regulation is now playing out in the states. The Trump administration has actively worked to block a “patchwork” of state laws, signing a legally contested executive order in December 2025 to prevent states from imposing their own limits on AI. This includes pressuring state lawmakers, such as in Utah, to drop bills regarding transparency and child protection.
As the midterm elections approach, AI will likely move from a technical curiosity to a central political wedge issue. The industry’s ability to “dig itself out” of its image problem will depend on whether the public views its policy proposals as genuine attempts at social stewardship or as sophisticated PR designed to ward off meaningful legislation.
The next major checkpoint for the industry will be the upcoming congressional hearings on AI liability and the legal challenges to the federal executive order blocking state-level regulations.
Do you believe a “public wealth fund” is a viable solution to AI-driven job loss, or is it a distraction from the need for stricter regulation? Share your thoughts in the comments.
Disclaimer: This article is for informational purposes only and does not constitute financial, legal, or investment advice.
