Artificial intelligence is changing the way engineering consultants work.
For an engineering consulting company, the value of AI is not simply that it can write an email faster. Its greater value is that it can help engineers process information, communicate more effectively, explore unfamiliar subjects, and devote more time to professional judgment.
AI as an Office Assistant
A significant part of engineering consulting work involves communication and information management.
Engineers write emails to clients, contractors, architects, authorities, suppliers, and other consultants. We prepare proposals, site inspection reports, technical letters, meeting notes, calculations, and project documentation.
AI can help with many of these tasks.
It can help organize information, improve the structure of a report, identify unclear language, summarize technical information, and prepare a first draft of an email or document.
This does not mean that AI replaces the engineer.
The engineer remains responsible for reviewing the information, confirming the technical content, and making the final professional decision.
In fact, AI can provide an additional opportunity for engineers to ask an important question:
What have I overlooked?
Engineering Reports and Professional Communication
Engineering reports require more than good writing.
A report may contain observations, measurements, calculations, assumptions, engineering opinions, recommendations, limitations, and conclusions. The wording can also have contractual and legal implications.
AI can help an engineer review a document from different perspectives.
For example:
- Is the scope of the report clear?
- Are assumptions identified?
- Are limitations properly described?
- Could a statement be misunderstood as a guarantee?
- Does the conclusion accurately reflect the available evidence?
- Are there areas that require further investigation?
This type of review can be valuable because engineers are sometimes too close to their own work to notice an ambiguous statement.
However, AI should be treated as a review and productivity tool—not as the professional of record.
The final responsibility remains with the engineer.
AI-Assisted Engineering Calculations
AI can also assist with engineering calculations.
For example, it can help engineers develop or review calculation procedures for beams, columns, connections, loads, deflections, quantities, and other engineering problems.
It can assist with spreadsheets, computer programs, formulas, and repetitive calculations.
But engineering calculations require professional judgment.
A numerical answer is not automatically a correct engineering answer.
An engineer must still understand:
Where did the load come from?
Are the boundary conditions correct?
Are the assumptions reasonable?
Is the structural model appropriate?
Does the result make engineering sense?
Does it comply with the applicable codes and standards?
AI can help us perform calculations more efficiently, but it does not remove the need for engineering knowledge and professional responsibility.
AI Can Open the Door to Other Fields
Perhaps the most interesting opportunity is beyond office efficiency.
Engineering projects rarely fit neatly into one professional discipline.
A building renovation can involve structural engineering, architecture, mechanical systems, electrical systems, plumbing, fire protection, geotechnical conditions, construction methods, materials, building codes, project management, and economics.
An engineer may understand one discipline very well but have limited knowledge of another.
AI can provide a useful bridge.
For example, a structural engineer encountering an unfamiliar mechanical system can use AI to learn the basic principles, terminology, system components, and questions that should be discussed with a mechanical engineer.
This does not make the structural engineer a mechanical engineer.
Instead, it allows the engineer to understand the larger project and communicate more effectively with other professionals.
AI lowers the knowledge barrier between disciplines.
From Specialized Services to Broader Solutions
This may eventually change the way small engineering consulting companies operate.
Traditionally, a small consulting firm may have been limited by the number of people it employs and the disciplines represented within the company.
AI does not eliminate the need for specialists, but it can increase the information-processing capacity of a small team.
An engineer can investigate unfamiliar technologies, understand new terminology, compare alternative solutions, organize large amounts of information, and communicate with specialists in other fields more efficiently.
This creates opportunities to move from:
“We provide one engineering service.”
toward:
“We help our clients solve engineering and construction problems.”
That is a significant difference.
The Engineer’s Role Is Changing
I believe the future engineer will not necessarily be the person who simply remembers the most formulas or writes the longest report.
The engineer’s value will increasingly come from the ability to:
- ask the right questions;
- understand the underlying engineering principles;
- recognize unreasonable assumptions;
- evaluate the reliability of information;
- connect different disciplines;
- communicate clearly; and
- take responsibility for professional decisions.
In other words, engineering may gradually move from simply knowing the answer toward knowing what questions to ask and how to evaluate the answer.
AI Does Not Replace Experience
Engineering is ultimately about responsibility.
A computer can produce a calculation. AI can produce a report. A search engine can provide thousands of pages of information.
But none of these automatically tells us whether a particular solution is appropriate for a particular building, site, client, or construction condition.
That requires engineering experience and judgment.
AI should therefore be viewed as a tool that expands the engineer’s capabilities—not as a replacement for the engineer.
Looking Ahead
At Solid Structural Design, we see artificial intelligence as another tool that can improve the way engineering and construction problems are approached.
It can help us communicate faster, organize information better, review our work more carefully, explore unfamiliar technical areas, and connect knowledge from different disciplines.
The most important opportunity may not be saving a few hours of office work.
It may be the ability to expand the boundary of what an engineering consultant can understand, investigate, and ultimately help a client solve.
Technology continues to change.
Professional responsibility does not.
AI can expand our capabilities. Engineering judgment remains ours.