The traditional metrics dominating investor calls – quarterly downloads, subscriber growth, or even adjusted EBITDA – are rapidly being superseded by a new focus: Artificial Intelligence productivity. Savvy investors are now closely monitoring how extensively companies integrate AI, particularly agentic AI, into their core operations to drive efficiency and innovation.
Across diverse sectors, from financial technology to digital streaming platforms, corporate leaders are prominently featuring statistics on the volume of code generated by AI agents. This trend, initially highlighted by pioneering AI firms like Anthropic and Google, reflects a broader eagerness among companies to position themselves at the forefront of AI adoption. It signifies not merely a marketing talking point, but a fundamental shift in how businesses operate and scale, impacting everything from development cycles to talent acquisition.
For investors, understanding a company’s commitment to and success in leveraging AI for productivity gains offers a vital lens into its future competitive positioning and potential for operating leverage. Alex King, founder of an AI talent acquisition firm, notes, “Visibly AI-forward companies attract the right talent profile needed to actually become an AI-centric company.” This means the ability to integrate AI becomes a self-reinforcing cycle, enhancing both innovation capacity and market attractiveness.
As AI permeates daily workflows, executives are reporting dramatic improvements. While some view AI as a powerful assistant empowering human employees, others highlight a more profound transformation, where top engineers transition from direct coding to supervising sophisticated AI models. This evolution promises accelerated product development, reduced time-to-market, and a redefinition of engineering roles, all of which directly influence a company’s financial performance and shareholder value.
Examining specific examples from companies leading this charge provides concrete insights into the transformative power of agentic AI in coding and its implications for investors seeking growth and efficiency.
Airbnb
Hospitality tech giant Airbnb is aggressively embracing AI to enhance its development velocity. CEO Brian Chesky revealed on a May 7 earnings call that nearly 60% of the code produced by Airbnb’s engineering teams is coauthored with AI, significantly surpassing industry averages. Chesky emphasized this is “not just an efficiency story,” but rather a catalyst for faster shipping, quicker iteration, and more rapid delivery of improvements to both guests and hosts. For investors, this translates into a heightened ability to innovate and respond to market demands, directly impacting user experience, competitive advantage, and ultimately, the company’s market share and profitability within the dynamic travel sector.
Anthropic
AI research leader Anthropic demonstrates the extreme end of AI integration. CEO Dario Amodei stated in October that its Claude AI model is responsible for generating 90% of the code within most of the company’s development teams. Amodei’s earlier prediction of 90% AI-written code within six months has indeed materialized internally and for several partner companies. This astounding metric underscores the potential for AI to become the primary code generator. However, Amodei clarified that this does not render human engineers obsolete; instead, their roles shift to critical code review and AI model supervision, ensuring quality and strategic direction. Investors should recognize this model points to a future where engineering resources are deployed with maximum strategic impact, potentially reducing long-term development costs and accelerating complex projects.
Chime
Fintech innovator Chime showcases rapid AI adoption and its direct financial benefits. CEO Chris Britt announced on a May 6 earnings call that an impressive 84% of the code shipped by Chime in March was developed with AI, a substantial leap from just 29% four months prior. Britt has consistently championed AI as a key driver for efficiency across the firm. Chime’s proactive approach includes developing its own AI-native software factory, dubbed Archimedes, designed to convert ideas into products primarily through AI agent development. Britt articulated the investment-critical outcome: “AI is driving operating leverage at scale, increasing levels of output while keeping headcount flat.” This powerful statement directly links AI integration to enhanced profitability and efficient growth, a highly attractive prospect for any discerning investor.
Compass
Real estate brokerage firm Compass is also leveraging AI to accelerate its technological edge. CEO Robert Reffkin informed analysts on May 5 that AI coding now accounts for an estimated 30% to 40% of all new code produced by the company. This integration has translated into a 20% increase in product development velocity, all while maintaining unchanged operating expenses. For investors in the competitive real estate technology space, Compass’s ability to innovate faster and bring new features to market without escalating costs signals a strong operational advantage and a disciplined approach to enhancing shareholder value through technology.
DoorDash
Delivery platform DoorDash is realizing significant productivity gains through AI. CEO Tony Xu highlighted on a May 6 earnings call that AI is now responsible for writing “well north of half” of the company’s code, likely closer to two-thirds. This acceleration enables DoorDash to deploy new features for customers at an increased pace. However, Xu offered a balanced perspective crucial for investors: while shipping more code is valuable, the ultimate measure of success lies in “delivering better outcomes for customers.” This focus on impact, not just output, suggests a strategic and mature approach to AI integration, aiming for tangible improvements that drive long-term customer loyalty and revenue growth.
DoubleVerify
Adtech firm DoubleVerify demonstrates how AI can fundamentally reshape software development efficiency. During a May 6 earnings call, CEO Mark Zagorski confirmed that the company employs AI agents to generate code, resulting in a remarkable 40% acceleration in software development timelines. As noted by AI recruiter Alex King, “engineering is historically the most expensive line item” for SaaS businesses like DoubleVerify, and crucially, “it’s also one of the few functions where AI productivity gains are actually measurable.” This directly impacts DoubleVerify’s operational expenditure and its capacity to quickly roll out new features and maintain its competitive edge in the fast-evolving digital advertising landscape, signaling a clear path to improved financial performance for investors.
Fubo
Streaming platform Fubo is recognizing the profound impact of AI on its revenue acceleration. CEO David Gandler commented during a May earnings call that AI adoption and its revenue-driving capabilities are “underrated” within the streaming industry. At Fubo, approximately 35% of its code is now completed with AI, with around 200 employees actively utilizing generative AI tools like ChatGPT or Claude Code to enhance effectiveness and efficiency. Gandler even noted a significant shift: “Some of our top engineers actually don’t code anymore.” This indicates a fundamental transformation in engineering roles, where strategic oversight and AI model management become paramount, potentially leading to a highly optimized and cost-effective development model for investors to consider.
Google (Alphabet)
Alphabet, Google’s parent company, is at the forefront of agentic coding, with 50% of its code now written by AI agents and validated by human engineers. CFO Anat Ashkenazi stated in a February earnings call that AI “certainly helps our engineers do more, move faster with the current footprint.” CEO Sundar Pichai further elaborated on April 29, highlighting the company’s strategic move into “truly agentic workflows” through its Antigravity platform. Pichai described how engineers are now “orchestrating fully autonomous digital task forces and building at a faster velocity,” signaling a profound, company-wide transformation. For investors, this commitment to leveraging AI at a foundational level ensures Google’s continued innovation leadership and operational efficiency across its vast ecosystem.
Meta
Meta has been an early and vocal advocate for agentic coding, with CEO Mark Zuckerberg predicting as early as January 2023 that AI could soon perform the duties of mid-level engineers. His assertion on a January 2025 episode of “The Joe Rogan Experience” that by 2025, AI would effectively serve as a “midlevel engineer that you have at your company that can write code,” highlights Meta’s long-term vision. The tech giant has already seen a 30% increase in output per engineer, with the majority of this growth directly attributed to the adoption of agentic coding, as announced in its January earnings call. This demonstrates Meta’s commitment to achieving significant operational efficiencies and accelerating its ambitious product roadmap through advanced AI integration, a key factor for investors tracking the company’s future growth and profitability.
Uber
Ride-sharing and delivery giant Uber is strategically shifting its investment priorities towards AI. CEO Dara Khosrowshahi noted in May that the use of AI is expanding at “unbelievable rates” within the company. Uber is proactively investing more capital into AI development while moderating its hiring pace. Currently, AI agents generate approximately 10% of the company’s code, a figure Khosrowshahi expects to grow substantially. His strategic rationale is clear: “If every person at this company can increase their throughput by 20%, 30%, 50%, 100%, then I think metering headcount growth and leaning in on AI investment is going to be well worth it.” This statement signals Uber’s long-term vision for capital-efficient growth and enhanced shareholder returns through AI-driven productivity gains.
