Latest Interviews
Showing 166–180 of 450 interview transcripts.
Clear all filters- a16z41 min
Why AI Voice Feels More Human Than Ever
The rapid advancement of AI voice technology has enabled near real-time, emotionally nuanced interactions that are replacing human agents in high-volume sectors such as customer service, recruiting, and logistics. Market dynamics are shifting toward specialized vertical SaaS products that leverage proprietary data moats to offer opinionated, culturally adapted conversational experiences while moving beyond simple per-minute pricing models. As latency drops and capabilities expand, voice is predicted to become the primary consumer AI interface within the next year, driving a transition from labor substitution to augmented efficiency across financial, healthcare, and operational domains.
- a16z14 min
Why American Dynamism Is Just Getting Started
Katherine Boyle, David Ulevitch
Launched three years ago with a 2022 geopolitical catalyst, the "American Dynamism" thesis rapidly transformed the venture capital landscape by shifting founder focus toward physical-world technologies and critical national infrastructure. This movement mobilizes a broad coalition of investors and engineers to support companies serving federal agencies and sectors like defense, energy, and manufacturing, effectively overcoming Silicon Valley's earlier resistance to patriotic business narratives. By prioritizing tangible outcomes over digital ad optimization, the initiative has established a new industry standard for building meaningful supply chains and technologies aligned with U.S. government interests.
- a16z1h 36m
Building the Next Generation of Conversational AI
Ankit Kumar, Anjney Midha, Maya
Sesame is developing a voice-first "companion" interface using a talent-dense team of fewer than fifteen engineers to prioritize natural conversational dynamics over general-purpose utility. The company has open-sourced its Conversational Speech Model base weights while withholding character-specific implementations, aiming to evolve toward a full duplex architecture capable of native audio understanding and real-time interruption handling. By targeting smart glasses as the optimal hardware form factor and employing qualitative human evaluation rather than standard metrics, Sesame seeks to build a long-term memory layer that acts as an emotionally resonant mediator for multi-step tasks.
- a16z42 min
Agent Experience: Building an Open Web for the AI Era
Netlify is pivoting its strategy from Developer Experience to Agent Experience (AX) to ensure the open web remains the native environment for autonomous AI agents rather than content relegated to walled gardens. Driven by a surge where approximately 10,000 sites are generated daily by AI tools, the company advocates for new infrastructure primitives and formal standards to support ephemeral applications and direct machine-to-web interactions. This initiative aims to democratize high-fidelity creation while redefining the web's architectural future against a backdrop of rapidly converging creation costs and shifting developer roles.
- a16z23 min
How to spot an AI Deepfake
Over 90% of security attacks now target human behavior, with AI-driven social engineering tactics like deepfakes and voice cloning surging to affect millions globally and enable sophisticated impersonations of corporate leaders and government officials. Experts warn that while current losses are financial, these threats pose imminent risks to critical infrastructure and human safety, driven by open-source models that allow adversaries to automate attacks without significant cost barriers. To counter this evolving landscape, organizations must shift from static compliance training to continuous, adaptive simulations and deploy defensive AI agents capable of countering automated offensive operations.
- a16z21 min
Avoiding vulnerabilities in AI code
Recent AI advancements have led to the adoption of AI-generated code in 20% of enterprise codebases, though research highlights critical security vulnerabilities such as hardcoded secrets and insecure patterns. To address the alignment challenge, organizations currently rely on techniques like data curation and Constitutional AI, yet these methods face trade-offs between safety and functional utility in data science workflows. Consequently, industry experts recommend that medium-to-large teams maintain a human-in-the-loop "buddy system" for code auditing until autonomous security governance tools mature, rather than removing human review processes.
- a16z15 min
How to use DeepSeek safely
Security audits recommend against deploying DeepSeek in production environments due to its volatile stability, significantly weaker jailbreak resistance compared to GPT models, and insecure underlying infrastructure. The model enforces heavy censorship on Chinese political topics while exhibiting operational inefficiencies such as slow inference speeds and language errors, prompting experts to suggest restricting its use to non-end-user-facing applications if absolutely necessary. Industry observers anticipate a more stable, secure open-source alternative utilizing similar reasoning techniques will soon replace the current unstable variant.
- a16z42 min
Agents, Lawyers, and LLMs
Harvey, a domain-specific AI firm led by product leader Matish, automates legal workflows for transactional, litigation, and in-house sectors by replicating law firm hierarchies through agentic systems rather than simple chat interfaces. The company scales its adoption by employing lawyers as account executives and maintaining strict data security via an "eyes off" policy and exclusive reliance on Azure-deployed OpenAI models. As demand shifts from skepticism to active integration requests, Harvey focuses on deep workflow embedding and custom fine-tuning to return 30–40% of attorney time to high-value creative work while expanding into tax, finance, and HR verticals.
- a16z40 min
Who Will Own the Internet? a16z’s Chris Dixon on AI and Crypto
The event analyzes the convergence of AI, cryptocurrency, and advanced hardware as a reinforcing technological trifecta, highlighting a critical shift toward centralized, closed-source models that threaten to concentrate economic power among a few major incumbents. To counter this consolidation, the discussion details emerging decentralized solutions such as crowd-sourced compute networks, blockchain-based intellectual property enforcement, and physical infrastructure incentives that aim to restore value distribution to individual creators and small startups. Speakers warn that while the current "skeuomorphic" phase of AI replaces existing jobs, the transition to a "native" phase of entirely new behaviors is bottlenecked by regulatory uncertainty, human creativity, and the need to establish verifiable human identity systems like Worldcoin.
- a16z37 min
Reasoning Models Are Remaking Professional Services
Hebbia, founded by George, positions itself as an AGI-native platform designed to automate complex, high-stakes financial workflows by leveraging scaling laws and deep research capabilities to process proprietary, unstructured data. The platform delivers quantifiable ROI for buy-side firms by reducing due diligence time from weeks to seconds and enabling analysts to screen 137% more opportunities through pre-built agents and infinite context windows. Looking forward, the company aims to transform private markets into a structured ecosystem similar to the Bloomberg Terminal while driving a broader economic shift where AI agents contribute over 50% of global GDP within a decade.
- a16z44 min
What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In
Martin Casado, Steven Sinofsky
Following the surprise release of the DeepSeek-R1 model, which matched top-tier Western capabilities for an estimated $5–6 million, global markets experienced a trillion-dollar correction while the technology disrupted industry scaling norms through permissive licensing and public reasoning traces. This event challenges the necessity of brute-force compute investment, signaling a strategic shift toward application-layer value capture and exposing the limitations of current U.S. export controls in stifling foreign AI innovation. Ultimately, the release forces a reevaluation of competitive dynamics, suggesting that future progress will rely on engineering efficiency and specialized enterprise workflows rather than traditional parameter scaling or closed ecosystems.
- a16z30 min
How AI is Powering Payments, with Greg Ulrich of Mastercard
Greg Ulrich, Marc Andrusko, Mark
MasterCard Chief AI and Data Officer Greg Ulrich outlines a strategic framework that segments artificial intelligence into four pillars—Safer, Smarter, More Personal, and Stronger—to address specific business needs ranging from fraud detection to internal operational efficiency. This approach has yielded concrete implementations such as the "Decision Intelligence" system for ecosystem-wide security, the "Shopping Muse" chatbot for personalized recommendations, and a Retrieval Augmented Generation-based onboarding assistant that maintains accuracy through human oversight. Looking ahead, the organization emphasizes cautious adoption of generative AI in regulated environments while prioritizing data security, multi-modality, and the development of reasoning models that explicitly acknowledge uncertainty.
- a16z1h 10m
Ben Horowitz in Conversation w/ Dr. Clarence B. Jones, MLK's Advisor and Speechwriter
Ben Horowitz, Dr. Clarence B. Jones, Megan Holston Alexander, Ron Charles, Jr., Larry Appelbaum, Jr., David Plylar, Jr.
Dr. Clarence Jones, a key strategist and speechwriter for Dr. Martin Luther King Jr., joined Ben Horowitz at an Andreessen Horowitz event to recount the personal dynamics of the Civil Rights Movement and critique modern diversity frameworks. Jones detailed the pivotal moment he joined the movement after King honored his mother during a sermon, recalled the tactical writing of the *Letter from Birmingham Jail*, and warned against contemporary interpretations that judge historical figures by present-day standards rather than their specific context. He concluded that true progress requires demanding change through merit and shared purpose, contrasting King's unified goals with current politicized approaches to race and inclusion.
- a16z37 min
How AI Is Changing Warfare, with Anduril CEO Brian Schimpf
Founded in 2017 by former Palantir executives and Oculus creator Palmer Luckey, Zandrel challenges the stagnant defense acquisition model by deploying autonomous systems and a data-processing "Lattice" platform to solve critical military scaling problems. The company leverages commercial supply chains and AI-driven decision-making to drastically shorten development cycles, contrasting its rapid prototyping approach with the decade-long timelines that typically render legacy weapons obsolete. By prioritizing human augmentation over autonomous lethality and advocating for fixed-price contracts, Zandrel aims to redirect billions in defense spending toward high-tempo innovation that outpaces adversarial technological iteration.
- a16z45 min
How AI is Reshaping Labor Markets: A $Trillion-Dollar Opportunity Explained
Alex Rampell, David Haber, Angela Strange
The presentation traces the evolution of software from the 1960s digitization of physical records to the current 2024 era where AI agents substitute human labor rather than merely storing data. This shift fundamentally alters revenue models by threatening traditional seat-based licensing with "autopilot" pricing structures that charge for work output or cost savings, potentially expanding total addressable markets into labor-intensive verticals like healthcare and legal services. Success in this new landscape depends on startups leveraging messy unstructured data as an entry wedge while incumbents like Salesforce face existential risk if they fail to pivot from productizing software to pricing based on labor displacement.