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Anthropic's Super Bowl Ad: Who Won & Lost? | Sierra Hits $150M ARR: Is Customer Support Too Crowded?

Mike Cannon-Brookes is the Co-Founder and Co-CEO of Atlassian, the software giant behind products like Jira, Confluence, and Trello. Under his leadership, Atlassian has become one of the world’s most successful enterprise software companies, serving over 250,000 customers globally. Jason Lemkin is one of the leading SaaS investors of the last decade with a portfolio including the likes of Algolia, Talkdesk, Owner, RevenueCat, Saleloft and more. Rory O’Driscoll is a General Partner @ Scale where he has led investments in category leaders such as Bill.com (BILL), Box (BOX), DocuSign (DOCU), and WalkMe (WKME), among others. ----------------------------------------------- Timestamps: 00:00 Intro 01:06 Anthropic Predicts $149B in ARR in 2029 11:33 Mike’s Thoughts on SaaS Today 26:26 Harvey Raises $200M at an $11BN Valuation 45:56 Is Customer Support a Terrible or Terrific Investment Category? 01:00:58 Anthropic's Super Bowl Ad: Who Won & Lost 01:15:58 Do CEOs Have to Work Harder Today Than Ever ---------------------------------------------------------------------------------------------- Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZ... Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast... Follow Harry Stebbings on X: https://x.com/harrystebbings Follow Jason Lemkin on X: https://x.com/jasonlk Follow Rory O’Driscoll on X: https://x.com/rodriscoll Follow Mike Cannon-Brookes on X: https://twitter.com/mcannonbrookes Follow 20VC on Instagram: https://www.instagram.com/20vchq Follow 20VC on TikTok: https://www.tiktok.com/@20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/con... ----------------------------------------------- #20vc #harrystebbings #roryodriscoll #jasonlemkin #atlassian #anthropic #openai #superbowl #harvey #saas

Mike Cannon-BrookesguestRory O’DriscollguestHarry StebbingshostJason Lemkinguest
Feb 12, 20261h 24mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

AI reshapes SaaS: TAM debates, agentic support, and hype signals

  1. Anthropic’s $149B ARR projection sparks a debate about whether AI is zero-sum within fixed CIO budgets or primarily TAM-expanding via productivity gains and shifting spend from services (e.g., consulting and integration) into software.
  2. Mike Cannon-Brookes argues “software isn’t dead,” but the bar is rising: incumbents must rebuild products with AI (context/search/chat layers, cost-optimized inference) while continuing to deliver public-market discipline on growth and margins.
  3. The group uses Harvey’s $200M raise at an $11B valuation to examine “TAM vs revenue,” wrapper skepticism, and what must be true (multi-year hypergrowth, price-per-seat expansion, labor substitution) for 50x ARR valuations to work.
  4. Customer support emerges as a prime early agentic wedge: large, text/conversation-heavy budgets with measurable ROI, collapsing support hiring, and a path from answering questions to taking actions (resetting passwords, filing requests) that expands perceived TAM.
  5. Anthropic’s Super Bowl ad is interpreted less as mass-market persuasion and more as signaling—positioning (enterprise vs consumer), recruiting, and froth—while raising the broader question of how public-company “financialization” competes with private AI maximalism.

IDEAS WORTH REMEMBERING

5 ideas

AI revenue projections only make sense with TAM expansion and layer-aware accounting.

The panel notes that model revenue (e.g., Anthropic) often includes pass-through economics (AWS, chips, ISVs), and $300–$400B combined model ARR implies either massive budget reallocation from incumbents or accelerated TAM expansion beyond historical software growth.

“Software is dead” is mostly a framing error; the real change is survival pressure and pace.

Cannon-Brookes emphasizes tech has always had churn, but AI increases the requirement to rebuild products and go-to-market quickly—some companies won’t adapt fast enough, yet durable platforms can keep compounding if they keep delivering value.

Engineering/product tooling may be structurally advantaged while many other seat-based categories face compression.

Lemkin argues AI is increasing software creation (more issues, tickets, deployments), supporting tools like Atlassian, while HR/ops/support-style seat counts can shrink as automation reduces headcount growth—even if total output rises.

Agentic support is compelling because it’s measurable, action-oriented, and widely distributed across every business.

Support/service spend is pervasive (internal IT/HR plus external CS), ROI can be directly tied to cost-to-serve reductions, and the biggest “aha” comes when agents take actions (reset accounts, file requests), not just answer questions.

Customer support is not one market—sub-segmentation determines who wins.

B2B vs B2C rhythms, internal vs external help desks, company size, and modality (chat/voice) create multiple arenas; being “third in a sub-segment” is dangerous given bundling threats from incumbents (Atlassian, Salesforce, ServiceNow) and well-funded leaders (e.g., Sierra/Decagon).

WORDS WORTH SAVING

5 quotes

The idea that software as a category is dead is ludicrous to me. I'm like, wait a second. It, it's very efficient for businesses to buy pre-canned solutions of technology. They don't write everything with Assembly, and they probably still won't.

Mike Cannon-Brookes

We just have to give up on TAM. We just have to let the revenue show us the path to TAM.

Jason Lemkin

If the only people who can roll out your shit are wizards, then you're gonna run out of wizards, and then you're gonna run out of revenue. To have mass adoption, you're gonna need mass simplification.

Rory O’Driscoll

I think every category that I know of outside of engineering and product is at existential risk of shrinking seats.

Jason Lemkin

Are you enjoying what you're doing? Would you choose this job again today? Because it's tough out there. It's gonna be hard. Welcome to the technology industry.

Mike Cannon-Brookes

Anthropic $149B ARR forecast and AI budget allocationRevenue “stacking” across AWS/model/app layersTAM expansion vs zero-sum seat/budget compressionSaaS winners/losers: engineering vs non-engineering seatsHarvey valuation, hypergrowth, and “GPT wrapper” debateAgentic customer support: ROI, sub-segmentation, and Trojan horse expansionSuper Bowl advertising as signaling vs efficient marketing; public vs private capital constraintsCEO workload, resilience, and enjoying the job amid disruption

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