Susan Li

Who they are

Susan Li is CFO of Meta Platforms — spent 2008–2022 climbing through Meta's finance ranks from analyst to VP before stepping into the CFO seat as the company pivoted hard toward AI.

Person

Susan Li graduated from Stanford with a B.A. in Economics and a B.S. in Mathematical and Computational Sciences, then went straight to Morgan Stanley in 2005 — three years across the convertible desk, technology equity capital markets, and investment banking, rotating through New York, Menlo Park, and Hong Kong. She joined Facebook (now Meta) around 2008 and spent roughly 14 years building deep institutional knowledge before being named CFO in November 2022, when the company was in the middle of a major efficiency push and AI transformation. She stepped into the CFO role from VP of Finance, having been the internal candidate who knew every lever. She sits on the board of Arc Institute — the science-funding reform nonprofit co-founded by Patrick Collison — and previously served on the Alaska Air Group board from 2018 to 2023. Her public voice is almost entirely institutional: Bloomberg Talks earnings interviews, CFO Leadership Q&As on financial planning and AI budgeting, and podcast appearances like the Glue Guys episode on building a fast-learning culture and a Cheeky Pint session covering capital allocation and working with Zuckerberg. The through-line is someone who built credibility inside a single company over a very long arc, then took the helm at the exact moment the company bet its balance sheet on AI.

Company

Meta's most pressing live dynamic is capital allocation at a scale that is genuinely hard to wrap your head around: after Q1 2026 earnings came in at $56.3 billion in revenue (33% YoY growth), the company raised its 2026 capex forecast to $125 billion–$145 billion for AI infrastructure — custom MTIA chips, server farms, and a $27 billion joint venture for a gigawatt-scale AI campus in Louisiana. That spending decision landed alongside 8,000 layoffs and the cancellation of 6,000 open roles, as Zuckerberg redirects headcount budget toward GPUs. On the product side, Meta is testing AI subscription tiers — Meta One Plus at $7.99/month and Meta One Premium at $19.99/month — powered by its Muse Spark model, and its partnership ads revenue run rate more than doubled to $10 billion in Q1 2026. The geopolitical overhang is real: Chinese regulators ordered Meta to unwind its $2 billion acquisition of AI startup Manus in April 2026, and in March 2026 Meta agreed to allow AI rivals on WhatsApp for a year to head off EU antitrust interim measures. Full-year 2025 revenue was $201 billion, up 26% YoY.

Market

Meta sits at the intersection of digital advertising, AI infrastructure, and consumer hardware — and is projected to surpass Google in global digital ad revenue for the first time by end of 2026, having commanded 67.3% of social media ad spend globally with 3.54 billion daily active users across its Family of Apps. Its primary competitive threat in social and short-form video is TikTok (ByteDance), while in AI it is squaring off against Alphabet, Microsoft, and OpenAI for model leadership and developer mindshare; Meta's open-weight Llama models are its strategic differentiator, positioned explicitly as 'America's AI Champion' against Chinese AI development. The regulatory environment is the defining constraint: EU Digital Markets Act compliance, ongoing antitrust probes, youth safety trials, blocked cross-border acquisitions in China, and copyright lawsuits over Llama training data all create friction that Susan Li has to price into every capital allocation decision.

Network

Susan Li reports directly to Mark Zuckerberg and works closely with the senior executive team that received the April 2026 stock option awards tied to the $9.5 trillion valuation target. She sits on the Arc Institute board alongside its science-reform-focused leadership. Her prior board seat at Alaska Air Group (2018–2023) extended her network into the transportation sector.

Mark Zuckerberg· CEO, Meta Platforms
Alexandr Wang· Leads AI integration (former Scale AI CEO), Meta
Dina Powell McCormick· Vice Chair and President, Meta

How they likely show up

Roughly 14 years at Meta before becoming CFO → she understands the company's internal mechanics at a granular level and is unlikely to be swayed by external framing of how Meta 'should' work.
Moved from investment banking (Morgan Stanley, convertible desk and ECM) into operating finance → comfortable with both capital markets mechanics and the operating detail of a large P&L; she can speak both languages.
Podcast appearances consistently focus on financial discipline, budgeting, and headcount-vs-GPU tradeoffs rather than vision-setting → she signals with numbers and frameworks, not narrative.
Long internal tenure before a single large step-up → career pattern suggests she prefers earned credibility over fast moves; likely rewards the same in others.
Arc Institute board seat alongside a science-reform mission → suggests she is drawn to institutions trying to change structural incentives, not just optimize within existing ones.
Presides over a $125–145 billion capex cycle while simultaneously executing 8,000 layoffs → she is operating in a high-stakes resource-allocation environment where every conversation has a budget dimension.

Conversation tips

→ Come with a specific number or ratio — she operates in a world of capex-to-revenue analysis and headcount-vs-GPU tradeoffs; vague claims will land flat.
→ Reference the Cheeky Pint or Glue Guys episodes if you've listened — she'll know you did more than read a headline, and both conversations show what she actually thinks about.
→ Don't conflate Meta's AI spending story with generic Big Tech AI commentary — she is managing the specific tension between $125–145 billion in capex commitments and near-term free cash flow, and she'll notice if you're not tracking that.
→ The Arc Institute board seat is a genuine interest, not a résumé line — if you have any connection to science funding or research infrastructure, it's worth surfacing.
→ Ask about tradeoffs, not strategy — her public voice is consistently about allocation decisions, not vision; she engages on the 'how do you decide' level.

Toolbox

Openers

Open on the headcount-vs-GPU tradeoff she discussed on the Cheeky Pint podcast — she's publicly on record framing Meta's AI spending as a deliberate reallocation from people to compute, and that's a live decision she's steering right now with $125–145 billion in 2026 capex.
Reference the April 2026 executive stock option awards tied to a $9.5 trillion valuation target — it's a specific, public signal about how the company is aligning incentives at the top, and she is one of the five executives in scope.
Lead with the Manus acquisition unwind — China ordered Meta to unwind its $2 billion deal in April 2026, making it the first enforcement under China's Foreign Investment Security Review mechanism; it's a concrete geopolitical constraint that lands directly on her capital allocation remit.

Discovery questions

With capex rising to $125–145 billion in 2026, how do you think about the internal hurdle rate for AI infrastructure spend versus the advertising business that's actually generating the cash?
The partnership ads revenue run rate more than doubling to $10 billion in Q1 2026 is a significant data point — how much of that is AI-driven ad tooling versus structural advertiser mix shift?
You've been at Arc Institute as a board member while also running finance through Meta's biggest spending cycle — how do you think about the difference between funding science at the frontier versus funding AI infrastructure at scale?

Avoid

Don't come in with generic commentary about Meta's regulatory headwinds as if they're new news — she is actively managing EU antitrust concessions, the Manus unwind, and copyright litigation simultaneously, and surface-level regulatory framing will signal you haven't done the work.

Make it yours