Integrating models into business processes, the bottleneck may not necessarily lie in the models' inability to provide answers, but rather in whether there are people who can properly manage permissions, data, business rules, and security checks. On October 2nd, Anthropic announced the launch of Claude Frontier Academy, committing $100 million to train 10,000 "frontline on-site engineers" by the end of 2027 ( Frontier Deployed Engineers, FDE ). This is not yet a report on the graduation of those 10,000 people: the first batches are currently operating in San Francisco, New York, and London, with the first fully certified group expected to emerge by early 2027.

The first batch of participating organizations includes Accenture, Bain & Company, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley, and Novo Nordisk. The list indicates that the program is aimed at those who will actually implement the solutions, rather than providing general courses for all users. However, just because organizations are participating does not mean that their customer systems have already been transformed; whether these trained individuals will be assigned to projects with budgets, data access rights, and clear responsible persons is what will determine whether the training can be translated into productivity.

Before obtaining a certificate, one must first pass two stages: simulated deployment and a real project.

The first project designed by Anthropic is called FDE Residency. Companies recommend candidates who have a foundation in software engineering, have experience with large model applications, and are capable of encouraging their colleagues to adopt new tools. When applying, these candidates must also bring a specific Claude project with them. Candidates do not need to have prior experience in building intelligent agents, but they cannot treat the training merely as attending lectures: the program starts with several days of offline courses, where participants practice from selecting business scenarios, going through security reviews, to hands-on assessments in new simulation cases.

Those who pass the first stage will receive the Resident Engineer badge and then enter a 12-week residency period to lead real-world implementation projects at their respective companies, with support provided by Anthropic engineers. There is another assessment at the end of the residency period; only by passing both stages can one qualify for the Frontier Deployed Engineer certification. In other words, what this program offers is not a quick-fix solution where "you'll know how to use AI after watching a video," but rather a deliverable process that can be reviewed and verified for enterprises. It is still a vendor certification established by Anthropic and should not be equated with independent industry professional qualifications.

A common issue in companies is that the demonstration is successful, but the implementation in the production environment fails. The demonstration environment allows the use of organized data and idealized permissions, whereas the production environment involves outdated documents, customer privacy concerns, mechanisms for rolling back incorrect operations, and different departments may interpret the same data differently. On-site engineers who only know how to use predefined prompts will encounter difficulties when working with the actual system; to enable agents to perform tasks effectively, they must understand when to check the original system, when to seek confirmation from others, how long to retain logs, and who is responsible for handling errors. Incorporating security reviews and handovers into training programs is precisely how these seemingly trivial aspects are turned into part of the assessment process.

This also explains why companies require participants to bring a designated project with them when they start the training. Without a business owner, success metrics, and available data, even the most talented engineers can only provide horizontal demonstrations (i.e., showing what they can do without a specific context). However, with a designated project, there is at least a clear goal to achieve after the training ends: for example, if it’s customer service email sorting, one can measure the time taken for manual processing and the error classification rate; if it’s the development process, one can measure the cycle from requirement to code that is ready for review, while also tracking rework, security issues, and the amount of personnel involved. Focusing solely on the generation speed without considering the cost of errors can easily lead to overestimating the benefits.

100 million US dollars and 10,000 people are commitments, not yet realized inputs and outputs.

The announcement of Anthropic outlines the commitment to investment and training objectives, but it does not disclose the cost per student, the proportion shared by participating companies, nor does it publish productivity data that can be compared across industries. Dividing $100 million by 10,000 people to calculate a "subsidy of $10,000 per person" does not reflect how the actual funds are allocated; course development, mentors, offline venues, and follow-up support may each account for different portions of the budget. Therefore, this amount is more appropriately understood as a long-term investment in the corporate market, rather than a ready-made per-person subsidy.

The project also differs from Anthropic's existing Claude Partner Network. According to officials, within this network, people from 46,000 companies have obtained over 175,000 Claude certifications, and nearly 4,000 individuals have completed Basecamp. The "number of certifications" does not represent the number of individual persons, and completing Basecamp does not equate to obtaining new FDE residency qualifications. The new academy emphasizes the ability to lead deployments within one's own company, which sets higher thresholds and longer cycles; therefore, whether the goal of ten thousand participants will be achieved will have to be verified by subsequent actual completion data.

For participating companies, training also brings the issue of supplier dependence. A deep understanding of the Claude toolchain is beneficial for quick deployment, but a company's audit records, data integration, and business evaluations should not be confined to the exclusive interfaces of a single model. If in the future the model needs to be changed or multiple models are used simultaneously, the permission design, test sets, cost measurement methods, and manual takeover plans must still be applicable. It is best for companies to assess separately the ability to "use a certain model" from the ability to "manage a workflow": the former represents current efficiency, while the latter indicates the capability to remain uninterrupted by future product updates.

The real time points that are worth tracking are not the launch events, but rather after the first batch of complete certifications are obtained in early 2027. By then, it will be necessary to see how many participants complete the 12-week project, whether the project is put into production, how the costs of failures and manual rechecks change, and whether enterprises of different scales benefit from it. Anthropic has already started offering the courses, and reaching a scale of ten thousand participants remains an unfulfilled goal. Only by clearly distinguishing between classes that have already started, those awaiting certification, and long-term objectives can we truly understand which specific problem this plan is intended to solve for enterprises AI.