The CNBC AI Forum in Dallas explored the critical balance between accelerating AI innovation and ensuring its safety, security, and economic viability. Discussions highlighted the challenges of scaling AI, managing costs, geopolitical risks from China, and the urgent need for robust governance infrastructure to oversee powerful autonomous systems. Leaders from OpenAI, AT&T, Wells Fargo, and other firms shared strategies for responsible deployment and maximizing AI’s transformative impact across various sectors.
CNBC's second annual AI Forum, held recently in Dallas, Texas, convened industry leaders and experts to delve into the pressing challenges and transformative potential of artificial intelligence. The discussions spanned a wide array of critical topics, including the imperative of AI safety and security, the burgeoning demand for data centers, strategies for achieving a clear return on investment (ROI) from AI initiatives, and the profound impact of AI on our daily lives.
The forum addressed how enterprises are navigating the journey from AI experimentation to full-scale deployment, confronting a landscape fraught with risks such as autonomous agents, evolving cybersecurity threats, fragmented regulation, and geopolitical pressures. A central theme was the balancing act between accelerating AI innovation and ensuring its responsible and safe integration into society.
Highlights from the CNBC AI Forum included:
- OpenAI's Bret Taylor: Emphasizing the "obligation" to make AI safe.
- The data center debate: Reshaping midterm elections and hyperscalers' public messaging.
- AT&T's massive AI utilization: Managing 45 billion tokens daily.
- Geopolitical risks: The U.S. falling behind China in AI development.
- Regulatory struggles: Governments grappling to keep pace with AI advancements.
De-Extinction and the Future of Programmable Life with Colossal Biosciences
Ben Lamm, Co-founder & CEO of Dallas-based Colossal Biosciences, offered a fascinating glimpse into his company's ambitious projects, including efforts to 'de-extinct' animals like the woolly mammoth, dire wolf, and dodo using AI, CRISPR, and other cutting-edge technologies. Lamm underscored that while these endeavors are captivating, their true significance extends far beyond a 'Jurassic Park' scenario.
"We are in a biodiversity crisis, so we need these tools because we're going to lose about half of biodiversity in the next 25 years, and that's really bad," Lamm explained. He highlighted the necessity of cryopreservation, biobanks, and genetic rescue tools to combat this crisis. Beyond de-extinction, Colossal Biosciences is pioneering advanced genome engineering and developmental biology. "We're pushing the boundaries of DNA synthesis to synthesize the largest cargos of DNA, and so that will be massively transformative about how we think about programmable life," Lamm stated. This research promises breakthroughs in areas from addressing ocean plastics with microbes to developing gene therapies for humans and creating crops that grow 30% faster—all powered by the synergy of developmental biology and genetic engineering.
Regulators Struggle to Match AI's Rapid Pace
A critical discussion on AI policy featured Island Co-founder & CEO Mike Fey and Credo AI Founder & CEO Navrina Singh, who spoke with CNBC's Contessa Brewer about the escalating challenge of safeguarding against AI threats, particularly from rogue agents and AI-powered human hackers. Singh pointed out that while there's ample discussion on AI's power, there's "much less focus on how do you actually put in place the right governance infrastructure, the right kind of controls, and how do you validate that control." This conversation, she noted, is "deeply missing."
The Geopolitical Stakes: U.S. vs. China in the AI Race
Rochefort Asset Management Founder & Co-CEO Kyle Bass, in conversation with CNBC's Scott Wapner, articulated the severe risks of the U.S. decelerating its AI development while China presses forward. Bass explicitly claimed that China is funding anti-data center sentiment in America to hinder U.S. progress. He strongly argued against any slowdown, citing Director of National Intelligence Jay Clayton’s stance that "super intelligence is a national security issue." Bass advocated for treating advanced AI models with export controls, similar to sensitive technologies or weapon systems, asserting, "And I believe AI is a weapon."
AI Governance: A Work in Progress
The discussion around AI governance infrastructure gained urgency following incidents like OpenAI's models autonomously hacking Hugging Face. Navrina Singh highlighted the crucial absence of robust governance, controls, and validation mechanisms for these powerful systems. Mike Fey elaborated on the dual challenge for companies developing models and those vulnerable to breaches, emphasizing the need for control planes to establish privilege models. Both executives expressed reservations about the Trump administration's hands-off approach and reliance on self-regulation, questioning the accountability of autonomous frontier models.
OpenAI's Obligation to Safety
OpenAI Chairman Bret Taylor candidly addressed the Hugging Face incident, stating, "We have an obligation to make it safe." He acknowledged the growing debate on AI's existential threats, noting that calls for an industry slowdown by leaders like OpenAI's Sam Altman and Anthropic's Dario Amodei appear authentic. Taylor emphasized the need to win on the "science of alignment" as much as on AI science itself, asserting it's vital for maintaining global leadership while mitigating risk.
The Politics of Data Centers: Texas' Shifting Landscape
John Arnold, co-founder of Arnold Ventures and a legendary energy trader, illuminated the evolving political landscape surrounding data centers in Texas. With over 600 data centers operating or planned, Texas is a major hub, yet public backlash is growing due to concerns over energy costs. Arnold noted a significant drop in community support for data centers, from 44% to 15% in a year, and how this issue is influencing the gubernatorial race. He urged hyperscalers to proactively communicate the real benefits—like tax revenue and well-paying jobs—to communities.
AT&T's ROI-Driven AI Strategy
Andy Markus, AT&T's Chief Data & AI Officer, shared insights into the telecom giant's strategy for achieving ROI with AI. Facing potential "token cost issues," AT&T proactively optimized its massive AI usage, which averages 45 billion tokens per day. Markus explained their pivot from 90% closed-source models to a hybrid approach, prioritizing open-source alternatives based on accuracy, speed, and cost to preserve ROI. An innovative "AI gateway" with individual user budgets and manager override controls helps manage spending and ensure continued value.
Optimizing AI Impact: Bret Taylor and Saul Van Beurden on Value Generation
OpenAI Chairman Bret Taylor and Wells Fargo Co-CEO of Consumer Banking & Head of AI Saul Van Beurden discussed how business leaders can pinpoint where AI can deliver the most value. Taylor also delved into Sierra's (his AI startup) outcomes-based pricing model, where payment is contingent on a measurable economic outcome, like a sale. He described this as a "new era of software" where companies pay for a "job well done," despite the inherent risk.
Wells Fargo's 'Optionality' in AI Vendor Deals
Saul Van Beurden underscored Wells Fargo's strategy of maintaining "optionality" in its AI vendor relationships. Given the unpredictable evolution of AI, the financial services firm prefers shorter-term, non-exclusive deals with multiple companies, preventing lock-in and allowing flexibility to adapt to emerging technologies. This approach ensures they can "make the right choices" in a rapidly changing landscape, even if it means disappointing vendors seeking long-term commitments.
A Look at the Prominent Speakers
The 2026 CNBC AI Forum featured an impressive lineup of executives, thought leaders, entrepreneurs, and researchers exploring AI's wide-ranging impact. Key speakers included:
- Andy Markus (AT&T): Discussed AI economics and managing token usage.
- John Arnold (Arnold Ventures): Focused on Texas' AI boom and the politics of data centers.
- Mike Fey (Island) and Navrina Singh (Credo AI): Addressed challenges in keeping pace with AI risks.
- Kyle Bass (Rochefort Asset Management): Warned about China's AI threat and national security.
- Ben Lamm (Colossal Biosciences): Explored de-extinction and advanced genetic engineering.
The Unfolding Landscape of AI Regulation
Despite escalating concerns over AI's rapid development and incidents like agent-driven attacks, federal AI regulation in the U.S. remains absent. While Senator Marsha Blackburn previously advocated for federal oversight, President Donald Trump recently reiterated his belief in "tremendous self-policing" by the AI industry, maintaining that the government would not halt AI development. This stance contrasts with the growing calls for stronger governance from within the tech community itself.
Dallas: An Emerging Hub for Enterprise AI
The choice of Dallas, Texas, for the second annual CNBC AI Forum underscored its emergence as a significant hub for enterprise-focused AI development. The city boasts a rapidly expanding tech workforce, fueled by local universities' robust AI and engineering programs and Texas' lower cost of living, which attracts talent from Silicon Valley. Key industries—from telecom to healthcare and financial services—are either embedding AI into their existing infrastructure or establishing new operations in Dallas to build real-world AI solutions.
