Summary
Atlas Venture’s 2025 review outlines a volatile but improving macro and policy backdrop, resilient biopharma fundamentals, and a cautiously optimistic venture and exit environment. Atlas reports strong fund performance, disciplined portfolio management, and continued commitment to science-first, seed-led venture creation.
Action Items
- 2025–2027 – Pharma/biotech operators: Plan for accelerated onshoring of manufacturing capacity and address CMC quality to avoid FDA delays.
- 2025–2029 – Large pharma BD teams: Increase external sourcing to backfill $40–45B/year loss-of-exclusivity exposure via licensing and M&A.
- 2025–2029 – Biotech CEOs: Invest early in high-quality CMC and manufacturing to mitigate 50% CRL risk from quality issues.
- 2025–2029 – Western policy advocates: Continue policy engagement on NIH protection, drug pricing reform, immigration, and IRA adjustments.
- 2025–2029 – Western biotech leaders: Adapt to China competition by driving cheaper, faster, better R&D and operational execution.
- 2025–2029 – Venture-backed biotechs: Prioritize BD partnerships as a non-dilutive funding source and on-ramp to M&A.
- 2025–2029 – Atlas portfolio companies: Maintain pipeline discipline, concentrating capital on priority assets and clinical value inflection points.
Macro Policy and Industry Backdrop
- Policy environment since the last election described as unpredictable and unsettling, with policy “by tweet” increasing uncertainty.
- Drug pricing recognized as a legitimate problem; US has overpaid versus rich peers under a 40-year cross-subsidy model.
- Call for rebalancing: lower US prices, higher prices in other developed markets; skepticism about drastic “most favored nation” approaches.
- Large pharma trade deficit ($140B) and tax-driven offshoring to Ireland and Switzerland highlighted as structural issues.
- 75% of essential medicines for the US not manufactured domestically; $360B of onshoring commitments underway over 5–7 years.
- FDA facing instability: 20% staff loss and leadership turnover, but portfolio interactions largely stable with no systemic delays observed.
- FDA leadership signaling commitment to gold standard safety/efficacy, flexibility in rare disease, and innovation-friendlier posture.
- NIH viewed as crown jewel; 60,000 grants to 3,000 institutions annually; deep concern about drastic budget cuts.
- Recognized NIH improvement areas: publish-or-perish culture, reproducibility crisis, age barriers for young investigators.
- Administration’s antivaccine bias flagged as grave concern; emphasis on science-first, risk-based, data-driven vaccine policy.
- Additional macro concerns: data integrity, Fed pressure, geopolitics; message to “keep calm and carry on” with innovation focus.
BioPharma Sector Performance and Growth Drivers
- DRG and XBI underperformed S&P 500 through spring–summer; sector rebounded as macro fears eased.
- Pharma/biotech valuations at bottom of 30-year relative range versus market; potential upside from multiple expansion.
- Industry scale: 3.66 trillion defined daily doses administered last year, about one drug per person per day globally.
Growth Levers: New Products vs Existing Products
- Two main sales levers: launch new products, grow existing products; plus efficiency improvements.
New Drug Launches and Innovation
- On track for ~50 FDA approvals this year, in line with 10-year averages.
- Approvals include HIV PrEP, first-in-class pain meds, ADCs, hemophilia, RNAi products.
- Three new hereditary angioedema (HAE) drugs this year; from zero approved 20 years ago to 11 now.
Recent FDA Approvals – Key Characteristics
-
50% of approvals over last five years are for rare diseases.
- Just under half are first-in-class, validating ∼120 new mechanisms of action over five years.
- ~1 in 6 approvals use accelerated approval with surrogate endpoints to speed patient access.
- 85% of new drugs originate outside the largest pharma companies.
- ~2/3 of recent approvals have trials with <200 patients, highlighting targeted indications.
- 60% of small-company-originated drugs are launched by those small companies themselves.
Structured View of Innovation and Approvals
| Metric | Recent Level / Trend |
|---|
| Annual FDA approvals | ~50, in line with 10-year average |
| Share rare disease approvals | >50% of total approvals (last 5 years) |
| First-in-class targets | Just under 50%; ~120 new mechanisms over 5 years |
| Accelerated approvals | ~1/6 of approvals using surrogate endpoints |
| Origin outside big pharma | ~85% of new drugs |
| Trials with <200 patients | ~2/3 of recent approvals |
| Small company self-launches | ~60% of small-company-originated drugs |
Pipeline Highlights and Atlas-Linked Assets
- Examples of notable pipeline assets across industry:
- Takeda: orexin program for narcolepsy (internally discovered).
- Merck: TL1A antagonist for IBD (via Prometheus acquisition).
- AstraZeneca: oral SERD for breast cancer (internal).
- Biogen/Ionis: antisense basket targeting Lp(a) for cardiovascular disease (collaboration).
- AbbVie: Velsipity (IBD, strong data, internally discovered).
- Atlas-originated or associated externally sourced assets:
- Lilly: Magramab (muscle-sparing obesity) via Versanis (Atlas portfolio).
- Takeda: Zasocitinib (selective TYK2 inhibitor) via Nimbus (Atlas portfolio).
Emerging Atlas Clinical Assets (Select)
- Disc Medicine: bitopertin for rare disease; up for FDA approval; holds early priority review voucher.
- Kymera: KT-621, first-in-class STAT6 degrader; Dyne: DM1/DMD programs; further details implied.
- Kymera: immune-oncology/immunology focus; Dyne: DM1 and DMD; names mentioned in passing.
- Kymera: STAT6 degradation; Dyne: neuromuscular; Kymera and Dyne context blended in transcript.
- Kyverna? (Kylera referred): dual GIP/GLP agonist for obesity.
- Siona (Sciwind/Siona context): MB01 correctors (metabolic/bone) in phase 2 combination.
- Treventis (Trevent?) KK57 antagonist: barrier dysfunction in atopic dermatitis.
Existing Products: Pricing, Volume, and Indication Expansion
- Pricing no longer primary growth driver; net pricing projected negative due to competition and PBM pressure.
- Volume/indication expansion now central to value growth.
- Example products:
- Vyvgart (FcRn modulator): started in myasthenia gravis; now pursuing multiple autoantibody diseases.
- Vutrisiran (Alnylam): amyloidosis to cardiomyopathy; rapid uptake.
- Tezspire: from asthma into broader indications.
- Indication expansion conflicts with some Inflation Reduction Act (IRA) provisions, flagged as policy issue.
Headwinds: Failures, Delays, Loss of Exclusivity
Notable Clinical Failures and Safety Issues
- Two IL-33 antagonists failed in respiratory disease.
- Two kappa opioid antagonists failed in depression.
- KarXT (Karuna/AbbVie) schizophrenia asset failure affected AbbVie and partner.
- Cargo Therapeutics next-gen CAR-T toxicity led to company failure.
- Obesity: Pfizer oral program and a Biogen-linked program both hit liver toxicity issues.
- Late-stage asset-centric failures at MoonLake and Kala led to ~90% stock drops.
- Estimated direct cost for 10 highlighted failed programs: ~$3.5B; total invested capital ~ $10B+.
- These failures underscore need for a pricing system that rewards risk-taking and funds attrition.
Delays via FDA Complete Response Letters (CRLs)
- FDA released 270 CRLs for ultimately approved drugs; 50% were for manufacturing/CMC quality issues.
- Strong message: underinvestment in CMC/manufacturing is a major, avoidable source of delay.
Loss of Exclusivity (LOE) Pressure
- Historical 5-year LOE: $10–15B/year global revenue at risk from generics.
- Next 5 years: LOE risk expected to triple to $40–45B/year.
- Several mega-franchises 5–7 years out from generic entry; 8–10 megablockbusters must be replaced annually.
- Internal discovery will not be sufficient; external innovation sourcing is critical.
Efficiency, R&D Productivity, and Operations
R&D Productivity Metrics
- Phase 1 to approval success rates remain ~6–7% across major modalities.
- Success rates have declined over last decade; low-hanging fruit of new modalities likely picked.
- Partnered assets show significantly better attrition metrics than wholly organic assets, implying higher quality bar.
Time and Cost
- Clinical development: 8–10 years from first-in-human to approval.
- Discovery + preclinical: 4–5 years, leading to 12–15 years idea-to-market timeline.
- McKinsey ROI analysis: previous year was lowest R&D productivity in 10+ years (after COVID/GLP-1 “blip”).
Operational Metrics and Capital Allocation
- R&D, COGS, SG&A as percent of sales expected to trend slightly down over next five years.
- Large pharma broad belt-tightening, restructurings, shutdowns of groups.
- Higher gross and EBIT margins anticipated as a result.
Share Buybacks
- Sector buybacks: $15–25B/year historically; $30B announced for 2025 alone.
- Purpose: return capital, optimize capital structure, support valuations.
- Notable participants: Exelixis, Neurocrine, and Arvinas (deployed ~$100M for buyback as part of restructuring).
Strategic Issues: China, Obesity, AI, Crowding, Modalities
China: Innovation and Competition
- China biotech market up ~90% year-to-date; large IPOs (e.g., Hansoh/Hengrui-type references).
-
40 companies filed to go public; strong liquidity and bullish sentiment in Hong Kong for biotech.
- Clinical trials: China grew from 5% of global trial starts 10 years ago to ~30% today, on par with US.
- In oncology, the entire global increase in new cancer trial starts since 2010 is accounted for by China.
China’s Growing R&D Footprint and Cost Advantage
| Dimension | China | US (or West) |
|---|
| Share of trial starts | ~30% of global; 5% ten years ago | ~30%; formerly dominant |
| Top 50 pipelines share | >20 companies now Chinese (40% of largest pipelines) | Majority still Western, but shrinking dominance |
| CEO comp (≈$1B co.) | ~60% lower than equivalent US CEO | Baseline; >$1M/year typical |
| Chemist comp | ~70% lower | Higher; drives outsourcing |
| CRO footprint | Central to global discovery model | Many US biotechs rely on CROs with China sites |
- One-third of recent global licensing deals involve China; ~$130B total value in such deals.
- Talent flows: most leading Chinese emerging biopharmas have leaders trained and experienced in the West.
- Tighter US immigration/work visa policies risk accelerating brain drain to China.
- China remains a cost-effective place to build teams; 200-person companies can save tens of millions annually.
- Chinese regulators enabling faster-to-clinic strategies; Western biotechs must respond by being cheaper, faster, better.
Obesity
- Obesity pipeline highly crowded; ~one-third of programs target GLP-1 and related pathways.
- GLP-1s characterized as possibly the most impactful health pathway of this generation.
- Heavy investor enthusiasm has priced many obesity names “to perfection.”
- Examples:
- Viking: minor profile blemish led to 42% stock drop (~$1B value) in a day.
- Lilly: oral GLP-1 stumble triggered $60–70B single-day market cap loss.
AI in Drug Discovery
- AI/ML seen as transformative; about half of US GDP growth this year from AI-related investment.
- Drug discovery applications growing (design, target prediction, trial optimization), but hype outpaces realized impact.
- Protein–ligand co-folding case study:
- Models perform well near training set chemistry/targets.
- Performance deteriorates sharply with lower similarity; often worse than a coin toss.
- Works well in known pockets; struggles with novel pockets and generative novelty.
- Conclusion: current AI mostly exploits known chemical/target “lamp posts”; true novelty remains challenging.
Hypercrowding and Competition
-
36 drug targets each have ≥50 programs globally; intense competition on almost all major mechanisms.
- Time to third-in-class entry shrank from ~15 years (25 years ago) to <2 years today.
- Many losers expected among crowded mechanisms; only a few best-in-class winners likely.
New Modalities: Promise and Risk
- Pipelines now contain many modalities (e.g., small molecules, biologics, ADCs, PROTACs, RNA platforms, cell/gene therapies).
- Large pharma averages ~12 modalities per pipeline, creating CMC, analytics, manufacturing, clinical, and distribution complexity.
- Commercial risk: despite eight cell/gene therapy cancer approvals, they represent only ~2% of global oncology revenues.
- Safety risk: nearly two dozen deaths linked to systemic gene therapies/editing (AAV and lentiviral) in recent years.
- Rationale for risk: potential for profound patient impact; examples:
- Uniqure’s AAV for Huntington’s showing encouraging “real medicine” signals.
- Individual “KJ” case: liver disease corrected via N-of-1 CRISPR gene editing.
Venture Capital and Biotech Funding Cycle
10-Year Perspective (H1 2015 vs H1 2025)
- 2015 H1: ~$6B VC into ~400 companies; early innings of IPO super-cycle; strong generalist participation.
- 2025 H1: ~ $12B VC into similar number of companies; post-bubble reset; investors felt burned until recent recovery.
Quarterly Trend and Capital Mix
- Peak deployment in Q1 2021: >$12B in a single quarter.
- Current steady state: $5–6B/quarter in US biotech VC (two-thirds of global VC).
- ~50% of capital now goes to mid/late stage (Series B and beyond).
Funding Structure and Risk Posture
- Concentration: ~8% of financings are mega-rounds (>$100M), consuming ~50% of all VC dollars.
- Mega-round pace remains elevated (~$600M/month), not fully reverting to pre-pandemic levels.
- Venture creation has reverted to ~2015 levels; many “tourist” creators have left post-bubble.
- Venture creation firms (like Atlas) remain active; affiliation increasingly important for seed/Series A success.
Risk Preferences: Talent, Geography, Business Model
- Talent: strong bias toward serial CEOs; Atlas is an exception, backing mostly first-time CEOs with prior industry experience.
- Geography: ~60% of US VC dollars go to a few zip codes (Boston, Bay Area).
- Business models: investors favor asset-centric plays with clear clinical and data line-of-sight; platforms need early partners.
Business Development and Exits
BD Activity and Rationale
- Number of BD deals has fallen vs five years ago, but total deal value has held up (fewer, larger deals).
- BD includes China-involving deals, single-asset deals, portfolio deals, US/Europe cross-border deals.
Benefits of BD
- Financial: asset dilution preferred to punitive equity dilution in tough markets; provides non-dilutive funding.
- Strategic: licensing builds relationships; ~80% of M&A starts as licensing.
- First bidders win ~80% of the time, reinforcing value of early partnership engagement.
M&A Environment
- Private M&A: expected $23–$25B deal value this year, among highest in past five years.
- Deals across oncology (e.g., Scorpion), in vivo CAR-T, vaccines, and other areas.
- Public M&A: ~$90B YTD; expected to exceed $100B.
- Robust deal flow in $5–10B range; examples include Avidity (Novartis), Medser (Pfizer) with competitive bidding (Novo).
- Excluding single mega-deals (Seattle Genetics in 2023; Alexion in 2020), 2025 is the busiest year in six years.
Recycling into Capital Markets
- M&A proceeds recycle into VC and public markets, supporting equity demand.
IPOs and Public Market Dynamics
- Past five years difficult for biotech indices (BBC, XBI).
- 2025 had an initial IPO window in Q1 (8 IPOs total by November); most have performed well.
- Biotech indices rallied in last six months:
- Clinical-stage index up ~60–70%.
- XBI up ~30–40% since spring lows.
- Follow-on financings:
- H1 2025 weak for follow-ons (pipes, RDs, marketed), but Q3 showed strong catalyst-driven activity.
- October alone >$5B in follow-ons, largest month in ~18 months, exceeding Q1 and Q2 totals individually.
- Investor sentiment: generalists cautiously re-engaging; follow-ons mostly catalyst-driven with some opportunistic raises.
Public Company Universe Rationalization
- Number of public biotechs down ~20% from recent peak.
- Drivers:
- Fallen-angel/bottom-feeding M&A buying distressed but valuable assets.
- Activist acquirers (e.g., Concentra, Zoma) acquiring cash shells and R&D tax shields.
- Boards choosing orderly shutdowns and cash return (e.g., Third Harmonic).
Overall Venture Sentiment
- Directionally positive: interest rate trends, fading macro risks, stabilizing FDA, positive data readouts.
- Venture creation constrained but stable; strong ideas still get funded.
- Capital available for building/scaling, though concentrated and with more conservative risk appetite.
- Exit environment: strong M&A momentum and improving equity capital markets suggest a promising 6–9 months ahead.
Biotech Within the Broader VC Landscape
- Biotech share of total VC down to mid-single digits for first time in two decades of Booth’s experience.
- Tech VC (AI/ML) expansion drives denominator problem; biotech slice smaller even if absolute dollars solid.
- Active private biotech investors (≥2 deals/year) dropped from ~900 at pandemic peak to ~400 in 2025.
- Remaining investors have raised capital: multiple funds closed by sector specialists, including Atlas.
VC Performance and Fundraising
- Top quartile biotech VCs continue to outperform XBI and Russell 2000 on 1-year and 5-year horizons.
- This outperformance supports fundraising for strong managers; new funds raised across the ecosystem.
Atlas Venture Update
Venture Creation and New Investments
- 16 new deals in past two years; 6 out of stealth and public/known; ~10 still in stealth.
- Seed and Series A financings across immunology, oncology, radiopharmaceuticals, autoimmune diseases, osteoporosis, others.
Scaling and Financing Portfolio Companies
- Multiple post-seed private financings; Kilara/Chilera series B at $600M was largest.
- Other portfolio companies also secured substantial equity funding.
- BD partnerships generated >$300M upfront cash to support early-stage assets and companies.
Atlas “Mini Pharma” Pipeline
-
130 declared programs across the portfolio, ~50 in clinical development.
- Pipeline size ~20% smaller versus two years ago, reflecting disciplined pruning and focus.
- Capital increasingly concentrated on priority programs and assets with highest potential impact.
- Portfolio remains disease-area and modality agnostic: rare disease, oncology, immunology, metabolic, CNS all represented.
- Strategy unchanged by market turmoil; continues to be science-first.
Exits and Realizations
- Two M&A exits:
- Scorpion (private oncology) acquired.
- Vigil (public) acquired.
- Sanofi acquired a portfolio company’s TLR7/8 frame 2 agonist Alzheimer’s program.
- Siona taken public in Q1; stock up ~90%+, with capital to execute on phase 2 trials.
- Third Harmonic wound down; capital returned to investors after board’s disciplined shutdown decision.
Financial Outcomes
| Period | Capital Invested | Realizations | Net Surplus (Realizations – Invested) |
|---|
| Last 2 years | ~$0.5B | ~$1.0B | ~$0.5B |
| Last 5 years | Not specified | Not specified | ~$1.4B |
| Last 10 years | Not specified | ~ $4.0B | ~$1.8B |
- Atlas early-stage funds have outperformed XBI and Russell 2000 by 40–50%.
- Atlas opportunity (later-stage) funds also outperform these benchmarks.
Fundraising and Team
- Raised Atlas Fund 14 ($450M) in late 2024.
- Raised third Opportunity Fund in fall 2025.
- Emphasis on strong, deep investment bench and robust finance, ops, talent, and legal teams supporting seed-stage builds.
Strategy and Principles
- Seed-led venture creation, building companies around great global science executed locally.
- 100% focus on therapeutics.
- Double bottom line philosophy: doing well by doing good.
Decisions
- Industry-wide recognition to pursue manufacturing onshoring over 5–7 years despite complexity.
- Atlas and peers to continue emphasizing asset-centric investing and serial/experienced leadership in current cycle.
- Atlas committing to maintain science-first, disease- and modality-agnostic approach despite market volatility.
- Boards (e.g., Third Harmonic) willing to choose orderly dissolution when risk–reward is insufficient.
- Large pharma maintaining or increasing BD and M&A engagement as a core growth driver under LOE pressure.
Open Questions
- How will US drug pricing reforms ultimately rebalance global prices without undermining innovation incentives?
- Can FDA stabilize staffing and leadership sufficiently to maintain predictability and support innovation?
- Will NIH funding withstand political pressure, and can structural issues like reproducibility and age bias be addressed?
- How far and how fast will China’s cost and speed advantages reshape global biotech competition and talent flows?
- Can AI move beyond “lamp post” use cases to deliver true generative novelty and materially improve R&D success rates?
- Will new modalities achieve commercial scale commensurate with scientific impact, and how will safety risks be managed?
- Can venture and public markets sustain current momentum if macro conditions or AI/tech cycles reverse?
- To what extent will generalist investors re-enter biotech, and how will that affect valuations and capital availability?