Last week, I wrote about consulting firms like Deloitte and Booz Allen Hamilton entering the space industry. We looked at examples like Deloitte-1, a nanosatellite launched to test on-orbit AI, and Brilliant Swarms, Booz Allen’s DARPA-backed experiment in satellite autonomy. But that piece mostly focused on the what. I want to return this week to focus on the why.
Because let’s be honest: consulting firms aren’t entering the space sector just for the cool factor, or out of some newfound aerospace ambition. Behind every satellite launch is a strategy deck. And behind every space project is a calculation about value, control, and the next billion-dollar contract.
So, what’s really going on here? Why are the world’s largest consulting firms building satellites, developing AI for orbit, and hiring aerospace talent?
There are three major drivers, each rooted in lessons from elsewhere.
Winning the Next Contract: Lessons from my Past
The first reason consulting firms are expanding into space is simple but powerful. Sometimes, the point is not the technology itself. Sometimes, the purpose of a project is to win the next contract.
Many years ago, I was a fresh graduate at a large engineering consulting firm, thrown into a rotating stream of internal research and development projects. I had just finished assignments in telecoms and automotive when, through a chance conversation, I found myself on a special projects team focused on more radical, forward-looking ideas.
This was not the top-tier consulting brand one might expect, but the work was genuinely exciting. The desk next to me was occupied by someone developing natural language models. Elsewhere in the building, others were working on predictive maintenance or autonomous control systems. My own (very small) team had been handed something that felt like science fiction at the time: the early concept for a flying car.
I was responsible for managing the concept development project, which meant everything from coordinating engineers to conducting market research, building the business case, and preparing the final presentation for the group CEO. It felt serious, and in some ways it was. We studied propulsion systems. We ran CAD models. We had real deadlines and real calls with potential suppliers.
But even then, we knew that the true purpose of the flying car project was not to create a vehicle for production. It was to create a signal. It gave the firm something bold to point to when talking to clients in government or advanced industries. It said, we are not just following the roadmap, we are thinking ahead. We have teams working on the future. That impression, regardless of what happened to the prototype, helped open doors.
At the time, flying cars were having a moment. Startups were raising millions. Press headlines claimed the urban air mobility revolution was imminent. But when I looked closely at the business case, it was thin. Regulation, geography, and basic economics limited the market to a narrow niche; essentially, helicopter corridors in high-income cities. Still, the project served its purpose. It made the firm look like it belonged in the room, even if the price tag was hard to justify.
Space now plays a similar role in the consulting landscape. A firm that can point to an operational satellite or an in-house AI platform for orbital data gains more than just a technical edge. It creates a strategic talking point. It adds weight to proposals. It helps win trust from procurement teams who are looking for delivery partners that already understand what the next five or ten years might look like.
That flying car project taught me that not every technology investment needs to lead to a commercial product. Sometimes, the return on investment is measured in perception, reputation, and the ability to compete at a higher level. For consulting firms entering space, that logic still holds. It is not always about the satellite. It is often about the story that satellite helps you tell.
Building Proprietary Infrastructure: From AI Models to Space Assets
The second reason consulting firms are expanding into space is their recognition of the long-term value in owning and operating their own infrastructure. This does not only refer to physical assets such as satellites, but also to secure, internal technology platforms that underpin high-trust services. Over the past year, Deloitte (amongst others) has provided a clear example of this thinking through its investments in artificial intelligence.
Rather than relying on general-purpose models, Deloitte has focused on developing domain-specific generative AI systems. These are not built to answer all questions but are instead designed to perform highly specialised tasks within regulated sectors such as tax, public services, healthcare, and wealth management. The priority is not scale or novelty, but precision, reliability, and control.
In a thought leadership paper co-authored with Amazon Web Services (AWS), Deloitte outlines the rationale behind this approach. Broad, consumer-facing AI models often fail to understand specialised terminology. For instance, terms like SNAP and CHIP, which are common in the context of US public services, require specific knowledge to be interpreted correctly. More importantly, these models pose risks related to data privacy, regulatory compliance, and auditability. Publicly hosted models can inadvertently store or misuse sensitive data, making them unsuitable for government and other critical applications.
Deloitte’s proposed alternative is the deployment of smaller, purpose-built models that can be fine-tuned for specific use cases. These systems can be hosted within an organisation’s private cloud environment, giving institutions complete control over data handling and model behaviour. They can be aligned with local regulations, continuously improved with curated datasets, and closely monitored for bias, accuracy, and relevance. According to Deloitte, this approach is not only safer but often more cost-effective at scale.
This concept has already been put into practice. Deloitte Digital recently launched a suite of tools called Agentforce Accelerators, developed in partnership with Salesforce, Anthropic, and Amazon Web Services. These tools are designed to support enterprises operating in highly regulated industries by embedding generative AI within existing systems. The goal is not simply to adopt the latest technology, but to create practical, dependable tools that meet strict compliance standards.
In one case, a global wealth management firm adopted Agentforce to enhance the way its advisers prepared for client interactions. By processing large volumes of both structured and unstructured customer data stored in Salesforce, the system generated clear, actionable summaries tailored to each client’s profile. This was achieved entirely within a secure cloud environment approved by the firm’s compliance teams. The language model, based on Anthropic’s Claude, was hosted using Amazon Bedrock, ensuring the highest levels of security and oversight.
Deloitte’s intention is not to create generic AI tools. It is to build secure, accountable systems that can be trusted in serious professional contexts. These platforms are designed to support real decisions, made under real constraints, by real people. Their development is supported by strong governance frameworks, technical safeguards, and significant investment in training and responsible use.
This is what proprietary infrastructure means for a consulting firm. It is not simply about having the latest technology. It is about creating internal capabilities that allow the firm to offer clients a level of trust and assurance that off-the-shelf tools cannot provide. It allows Deloitte to say, with credibility, that it does not just advise on emerging technologies. It builds and operates the systems its clients will rely on.
That same logic is now being applied to space. Just as Deloitte has established itself as a provider of trusted AI infrastructure, it is beginning to position itself as a trusted operator in orbit. A satellite, like a domain-specific AI model, is a signal. It is a way of demonstrating technical maturity, operational readiness, and the ability to manage sensitive, high-value systems. For consulting firms, this is not a side project. It is a strategic asset.
Delivering the Full Stack: From Strategy to Systems
The third reason consulting firms are expanding into space is to deepen their role in delivering complete solutions. Traditionally, these firms have occupied the upper end of the value chain. They advise, design strategies, and help clients navigate regulatory or technological change. However, in recent years, many have shifted their model. Advisory work alone is no longer enough. Increasingly, clients expect their consultants to deliver systems, not just plans.
In digital transformation, this has already become the norm. Consulting firms now offer managed cloud services, build proprietary AI tools, and operate enterprise software platforms. This evolution has been driven by client demand for integrated delivery, and by the commercial benefits that come with offering high-margin, repeatable technology services alongside strategic advice.
Space is the next layer in this model. A firm that helps a government plan its national satellite strategy can now also design, deploy, and operate elements of that system. Instead of helping a defence client evaluate satellite procurement options, a firm like Deloitte or Booz Allen can offer satellite capabilities of its own. The same applies in ESG, infrastructure resilience, and disaster response, where Earth Observation and remote sensing are becoming central tools.
This is more than vertical integration for its own sake. It allows consulting firms to own more of the delivery chain and, in doing so, create stronger long-term relationships with clients. It also makes their services more defensible. If a firm is delivering the data as well as the insights, it is far more embedded in the operational life of its clients.
In the context of space, this means moving beyond occasional advisory roles to become part of the architecture itself. Operating a satellite, or managing part of the data processing layer, enables a firm to demonstrate technical fluency and long-term reliability. It changes the nature of the relationship from consultancy to partnership.
Conclusion: A Signal, A System, and a Strategy
The move into space is not a side project for consulting firms. It is not a marketing stunt or a passing experiment. It is a deliberate extension of the same strategy that has driven their investments in artificial intelligence, cloud platforms, and enterprise software over the past decade.
By launching satellites and building orbital capabilities, firms like Deloitte and Booz Allen are doing three things at once. They are creating signals—these are bold, forward-looking projects that will make their bids more competitive. They are building proprietary infrastructure, the kind of secure internal systems that enable them to deliver services in high-trust environments. And they are extending their position in the value chain, moving from advisors to operators, from planners to providers.
None of this means that consulting firms are trying to become aerospace primes. But they are making a calculated move to occupy more of the architecture that underpins future government, defence, and infrastructure systems. And that move is not just about technology. It is about positioning. It is about control. And ultimately, it is about the contracts that will define the next decade.
Space is no longer just the final frontier. For the consulting world, it is the next platform.