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our  ability  to  remain  at  and  define  the  frontier,  our  research  talent,  and  the  efficiency  through  which  we 
maximize  our  compute  investment  position  us  favorably  with  customers  who  prioritize  model  quality,  safety, 
and reliability. 

We also face competition from a broader set of model providers. These include large companies, specialized AI 
labs and a growing range of other open-weight or open-source (shared weights, training data, and code) models 
released  by  state  actors  and  international  and  domestic  research  organizations.  While  these  models  seek  to 
prioritize  cost  efficiency  over  maximum  intelligence,  we  believe  our  frontier  models  are  highly  effective  and 
efficient  across  a  broad  range  of  workloads,  from  routine  knowledge  tasks  to  customers’  most  important 
problems.  We  believe  we  compete  favorably  based  on  our  ability  to  deliver  the  most  capable  models  for  the 
problems that demand the highest intelligence, as well as efficiently applying our models to complete everyday 
work to deliver high quality results at a lower cost.

First-Party Application Providers 

As  a  platform  company,  our  primary  focus  is  on  building  the  foundation  upon  which  other  companies  and 
software  developers  can  create  products  and  services  driven  by  Powerful  AI.  However,  as  we  continue  to 
develop  our  own  first-party  applications,  we  may  from  time  to  time  compete  with  enterprise  software  and 
application companies in select categories. 

Status Quo 

Beyond  direct  competition,  one  obstacle  to  the  diffusion  of  Claude  is  the  natural  resistance  to  change  within 
organizations.  Many  enterprises  operate  with  deeply  entrenched  legacy  systems,  established  workflows,  and 
institutional processes that have been refined over many years. Adopting frontier AI capabilities such as Claude 
often  requires  substantial  change  management,  including  workforce  retraining,  process  redesign,  internal 
policy development, and shifts in corporate culture. These can introduce friction, cost, and perceived risk that 
can  delay  or  prevent  adoption.  Especially  in  highly  regulated  or  risk-averse  industries  —  where  the  perceived 
downside risk of major changes can often outweigh the potential benefits — decision-makers might default to 
maintaining the status quo.

We believe that the principal competitive factors in our market include:

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Our ability to maintain our singularity of focus and mission as a company;

Our ability to remain at and continue to expand the frontier of intelligence;

Our ability to continue hiring and retaining world-class research talent;

Our continued focus on safe, reliable, and trustworthy intelligence;

Our  access  to  compute  necessary  to  train  and  deploy  AI  models,  which  may  be  subject  to  supply 
constraints, capacity limitations, or allocation decisions by third-party providers;

Our ability to improve the efficiency with which our models are trained and deployed;

Our ability to secure financing on acceptable terms;

Our  ability  to  integrate  research,  product,  and  our  go-to-market  approach  to  ensure  we  continue 
building  models  and  applications  that  serve  our  customers  and  allow  us  to  generate  revenue  to  fund 
our investments in remaining at the frontier;

Our ability to continue maintaining our partnerships across infrastructure providers and distribution 
partners;

Our ability to attract and retain customers who are building their products on the Claude Platform;

Our ability to attract new customers and retain and expand sales to existing customers; 

Our ability to continue building applications that anticipate the needs of the market; and

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