Skip to sources
Time Machine

Architects, Except Landscape and Naval

Scrub through 179years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

2026drag to travel through time
187519001925195019752000now
Country
2026
Known today as Architects, Except Landscape and Naval (BLS SOC 17-1011 canonical title)
US Employment
107K
OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.
Median Annual Wage
$99,280
≈ $96,735 in 2024 dollars
Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.
Beat · 2025

Autodesk Forma's Site Automation feature wins Architectural Record's Product of the Year 2025 — the first AI-native tool to win this distinction. Simultaneously, Autodesk announces Neural CAD Buildings (Forma 2026): AI that generates floor plan layouts instantly from 3D massing models, with spatial logic maintained automatically as the exterior form changes. The RIBA AI Report 2025 records 59% of UK practices using AI tools. The AIA 2025 Architects Journey to Specification survey finds only 6% of US architects use AI regularly, documenting a sharp geographic and firm-size adoption gap.

Tools of the era

The tools that defined the work

Select an era to see how it reshaped the work.

  • Drafting board, T-square, compass, and India ink on vellum

    For the entire first century of organized American architecture, the physical drafting table was the primary production instrument. Architects drew in India ink on linen or vellum using T-squares, triangles, compasses, and ruling pens. A single set of working drawings for a large building could consume hundreds of drafter-hours. The introduction of translucent vellum over linen drafting cloth (widely adopted by the 1920s) was the single biggest productivity improvement before the computer era: vellum accepted pencil erasures cleanly and reproduced well under the diazo (blueprint) process.

    Work toolChanging equipment
  • Blueprint / cyanotype reproduction (Herschel 1842; diazo process from 1920s)

    Sir John Herschel described the cyanotype photographic process in 1842; its application to architectural drawing reproduction — creating blue-on-white "blueprints" from translucent originals — was widespread in US architectural offices by the 1880s. The ammonia diazo process (blue-line prints) superseded cyanotype in the 1920s and remained the dominant reproduction method until the photocopier era of the 1970s. Blueprint reproduction meant that multiple copies of drawings could be issued to contractors for the first time — a fundamental change to how architects communicated construction intent.

    Work toolChanging equipment
  • Watercolor and gouache hand rendering + physical chipboard and balsa models

    Throughout the pre-digital era, architect-artists produced elaborate watercolor and pen-and-ink perspective renderings to communicate design intent to clients and the public. Firms like Hugh Ferriss Associates made rendering a distinct professional specialty by the 1920s; "renderer" was a distinct job title in large practices. Physical scale models in chipboard, balsa wood, and clay ran in parallel: project models for client presentations, urban-scale massing models for planning boards. Both practices survive into the present, though AI visualization tools have displaced most rendering from commercial practice.

    Work toolChanging equipment
  • AutoCAD (1982) — 2D digital drafting displaces the drafting table

    Autodesk released AutoCAD in December 1982, the first widely affordable CAD program for personal computers ($1,000 on an IBM PC). Its adoption in architectural offices was rapid: by the late 1980s it had effectively replaced hand drafting in larger practices, and by the mid-1990s it was ubiquitous across the profession. AutoCAD eliminated most manual drafting labor but also eliminated the "drafter" as a distinct profession — junior architects absorbed drafting into the normal workflow. AIA surveys from the early 1990s show that 2D CAD productivity gains reduced drawing production time by roughly 30-40% versus hand drafting, though expanded project scope partially offset the savings.

    Effect on the work

    The transition from hand drafting to AutoCAD displaced dedicated architectural draftsmen (a distinct occupation in the 1960s-80s) into either CAD operator roles or out of the profession. The Architectural Drafters SOC (17-3011) counts declined significantly through the 1990s as the task merged into the architect role.

    Work toolChanging equipment
  • 3D Studio, form•Z, and Rhino — 3D visualization and early parametric modeling

    3D Studio (1990, later 3ds Max) brought polygon-based 3D architectural visualization to PC hardware for the first time. form•Z (1991) gave architects solid-body 3D modeling suited to complex massing and facade studies. Robert McNeel & Associates released Rhinoceros (Rhino) 1.0 in 1998 — a NURBS surface modeler that enabled the flowing curved forms of late-1990s deconstructivism. Frank Gehry's Guggenheim Museum Bilbao (completed 1997) was modeled in CATIA (an aerospace tool), but Rhino became the accessible entry point for non-Gehry firms pursuing freeform design. These tools established the expectation that architects would produce 3D models for design exploration, not just 2D plan/section/elevation sets.

    Work toolChanging equipment
  • SketchUp (2000) — rapid 3D massing for early-stage design

    @Last Software released SketchUp in 2000; Google acquired it in 2006 and released a free version, making it the most widely used 3D modeling tool in small and medium architectural practices by the late 2000s. SketchUp's low learning curve (as opposed to the months required to master AutoCAD or Rhino) meant that even smaller firms without dedicated 3D modelers could produce client-presentation-quality massing models. It did not replace AutoCAD for construction documents but became the default massing and concept tool for schematic design.

    Work toolChanging equipment
  • Revit / BIM (Building Information Modeling) — Autodesk acquisition 2002, mainstream by 2008

    Charles River Software released Revit 1.0 in 2000; Autodesk acquired it in 2002 for approximately $133M. BIM — the practice of building a single intelligent 3D model that carries geometry, material properties, quantities, and schedule data — began displacing 2D AutoCAD workflows in larger US firms from roughly 2005 onward. US GSA mandated BIM on federal projects over $400 million in 2007; the UK government mandated BIM Level 2 on all public-sector projects from 2016. AIA practice surveys show BIM adoption crossed the 50% threshold among member firms around 2009. The shift to BIM created a new specialist job category — BIM Manager / BIM Coordinator — inside architectural practices.

    Effect on the work

    BIM adoption initially increased modeling labor in early design phases while reducing drawing production in later phases. Studies by Autodesk and academic researchers typically report 10-20% net reduction in total construction documentation labor over a project lifetime, but the coordination benefits (clash detection, quantity takeoff) also reduced costly on-site changes.

    Work toolChanging equipment
  • Grasshopper for Rhino (2007) and Dynamo for Revit (2014) — parametric and generative design

    David Rutten released Grasshopper as a Rhino plugin in 2007 (bundled from Rhino 6 in 2018), providing a visual scripting environment for algorithmic, rule-driven geometry. For the first time, architects could encode design rules as parameters rather than drawing every option individually: changing one input cascaded through an entire facade, structural grid, or urban massing. Dynamo (open-source, 2014; integrated into Revit 2017) brought the same computational logic into the BIM production environment. Zaha Hadid Architects, BIG (Bjarke Ingels Group), and Perkins & Will became early adopters and built dedicated computational design practices. By 2020 parametric methods were taught in all major US architecture schools.

    Work toolChanging equipment
  • Generative AI for architectural design (Midjourney, Stable Diffusion, Veras, Maket, Autodesk Forma AI, Architechtures)

    The release of Midjourney v1 (July 2022) and Stable Diffusion (August 2022) gave architects instant concept image generation from text prompts. Within months, specialized tools followed: Veras (EvolveLAB, 2023) — a generative AI rendering plugin operating directly inside Revit, SketchUp, Rhino, and Forma; Maket.ai (2022) — AI floor plan generation from room requirements; Autodesk Forma Site Automation (2024) — automated massing and site layout generation that won Architectural Record's Product of the Year 2025; TestFit — running 40+ feasibility iterations where traditional methods allowed fewer than 10. The RIBA AI Report 2025 found 59% of UK architectural practices already using AI tools; the AIA 2025 survey found 6% of US architects use AI regularly — a pattern suggesting rapid but uneven adoption across the profession.

    Effect on the work

    The RIBA AI Report 2025 found only 18% of UK architectural practices expected AI to cause job losses, with 91%+ rejecting the idea that AI can substitute for licensed professional judgment, project coordination, and client relationship management. The primary labor effect to date is productivity expansion — more design iterations in the same time — rather than headcount reduction.

    AI audit toolsPattern detection
Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.

Employment outlook
Projected change in the number of people doing this work.
AIA Compensation Report 2024 + NCARB Architectural Workforce Study 2023
2034
+8%
AIA Compensation Report 2024 documents rising median salaries and near-full employment in the profession as of 2023-24, with firms reporting difficulty filling architect positions — particularly at the 5-10 years experience level, where the ARE pipeline gap (NCARB data: licensure candidates declined from a 2019 peak) creates a structural shortage. NCARB Architectural Workforce Study 2023 projects that even at flat ARE exam-pass rates, the licensed architect supply will not keep pace with construction demand through the early 2030s. The +8% scenario represents a workforce-constrained growth ceiling in which AI tools expand per-architect productivity but cannot substitute for the licensed stamp, making supply the binding constraint rather than automation.
BLS Occupational Outlook 2024-34
2034
+3%
BLS Employment Projections — industry-occupation matrix + labor productivity assumptions. The 2024-34 OOH projects 3% growth for architects over ten years — approximately average for all occupations. BLS cites continued demand for residential, commercial, and infrastructure projects; AI tools are noted as productivity augmenters but are not projected to reduce architect headcount in this cycle. Net new openings: approximately 3,600/year (growth + replacement). The 3% figure is positive but modest; architecture has historically grown faster than average when construction booms (7-10% per decade in the 1990s and 2000s).
AI task exposure
Share of the role’s tasks that researchers estimate AI can do. This is a measure of task exposure, not a forecast of jobs lost.
Eloundou et al. — "GPTs are GPTs" (2023)
2027
20%
of tasks
GPT-4 task-by-task labeling against O*NET task statements for 17-1011. Architecture scores moderate on Eloundou's β metric — lower than legal and financial occupations but higher than most trades. Tasks involving design iteration, document drafting, and code research score high on LLM exposure; tasks involving physical site judgment, cross-disciplinary coordination, and client brief negotiation score low. Architecture's overall γ (any LLM exposure) is estimated at approximately 0.55-0.65 across the O*NET task list; β (LLM-assisted, not fully automated) is in the 0.30-0.45 range. Reported as -20% to represent a moderate-automation-potential scenario — the gap between current AI capability and the full γ ceiling reflects the licensed professional and physical-presence bottlenecks.
Frey & Osborne (2013)
2033
2%
of tasks
Gaussian-process classifier on O*NET task features. Frey & Osborne assigned architects a 0.018 probability of computerisation — one of the LOWEST scores in their 702-occupation dataset, placing architecture in the bottom 3% by automation risk. The near-zero probability reflects the high creative-intelligence requirement (original design for unique projects), the complex social-intelligence requirement (negotiating client briefs, managing contractor relationships, appearing at planning hearings), and the fine motor / physical-site-judgment requirement (site observation, scale and proportion evaluation). Reported here as -2% to represent the minimal net-employment risk this classifier implies; Frey & Osborne themselves treat it as essentially automation-proof given 2013 technology.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you hereProduce client presentation visuals using D5 Render 3.0 or Veras (EvolveLAB): apply AI-generated material treatments, lighting, and entourage directly from the Revit or SketchUp model, directing the visual narrative for design intent boards and planning submissions.

Produce client presentation visuals using D5 Render 3.0 or Veras (EvolveLAB): apply AI-generated material treatments, lighting, and entourage directly from the Revit or SketchUp model, directing the visual narrative for design intent boards and planning submissions.[11],[12]

Where your edge is

Shift focus from rendering mechanics to visual storytelling: art direction, colour narrative, and the human story in architectural images. AI tools can generate photorealistic scenes in seconds — the architect who provides strong creative direction and can critique outputs against the design intent adds value that raw image generation cannot.

AI is sitting alongside you hereDefine programme targets and site constraints in Autodesk Forma Site Automation or TestFit, evaluate AI-generated massing and site layout options across FAR, daylight, and yield-on-cost filters, and select the highest-performing option to advance into schematic design.

Define programme targets and site constraints in Autodesk Forma Site Automation or TestFit, evaluate AI-generated massing and site layout options across FAR, daylight, and yield-on-cost filters, and select the highest-performing option to advance into schematic design.[5],[7],[10]

Tools picking this up
Where your edge is

Develop fluency in parametric constraint-setting: the architect who defines superior programme rules (setbacks, unit mix, sustainability targets) gets better AI outputs. Use Forma's real-time wind, sun, and noise analysis to make defensible environmental arguments to planning boards — a skill AI tools support but cannot replace.

AI is sitting alongside you hereResearch building code and zoning compliance using UpCodes Copilot Intelligence: query jurisdiction-specific requirements for occupancy, egress, accessibility, and fire protection

Research building code and zoning compliance using UpCodes Copilot Intelligence: query jurisdiction-specific requirements for occupancy, egress, accessibility, and fire protection; cross-reference AI-generated compliance checklists against the current adopted code edition before submitting for permit.[8],[9]

Tools picking this up
Where your edge is

Maintain deep command of the adopted codes in your primary jurisdictions — AI tools can misapply amendments or local amendments. Develop a relationship with plan checkers and building officials: AHJ negotiation for complex code interpretations (e.g., performance-based fire code) remains entirely human and is not searchable.

Where this role is heading

Natural next steps for someone with your foundation: not exits, evolutions.

A direction you could grow

Architectural and Engineering Managers

Senior architects with 8-12 years of experience frequently transition into architectural and engineering management roles, overseeing multi-disciplinary project teams and managing studio P&L. As AI tools accelerate design production, firms need managers who understand both the technical outputs and the AI workflows — making experienced architects with technology fluency the most attractive candidates. The transition requires developing people management, budget control, and business development skills beyond the design craft.

What you'd add
  • · Project financial management and earned-value tracking (Deltek Vantagepoint or similar)
  • · People management: performance reviews, utilisation planning, and studio capacity forecasting
  • · Business development: client relationship management, go/no-go decision frameworks
  • · Contract administration at the principal-in-charge level (AIA B101 and owner-contractor agreements)
  • · AI workflow governance: tool selection, prompt library maintenance, and team training protocols
What it takesSome new skills to pick up
Share this year
Drops anyone you send it to straight into 2026.
Preview card
Part of Engineering · see all 36roles →
Different role?

See the same long-arc view for your own profession.

Browse the directory by industry, or search by title or SOC code. New roles ship every few weeks. Every profile cites every claim.

Browse all roles

The data behind this timeline

On record since1857
Latest tracked employment106,770 (US, 2025)
Latest median pay$99,280 (2025)
Outlook+3% by 2034 (BLS Occupational Outlook 2024-34)
View all 30 cited data points
YearUS employmentMedian annual paySource
190010,000n/aCENSUS-IPUMS
194026,000n/aCENSUS-IPUMS
1950n/a$5,200ESTIMATE
197060,000n/aESTIMATE
1980n/a$27,800ESTIMATE
199096,000n/aESTIMATE
200098,400$52,510BLS-OEWS
200391,010$57,950BLS-OEWS
200494,280$60,300BLS-OEWS
200596,740$62,850BLS-OEWS
2006101,010$64,150BLS-OEWS
2007132,000$67,620BLS-OEWS
2008110,990$70,320BLS-OEWS
2009101,630$72,700BLS-OEWS
201099,200$72,550BLS-OEWS
201183,590$73,340BLS-OEWS
201282,720$73,090BLS-OEWS
201384,210$74,110BLS-OEWS
201488,900$74,520BLS-OEWS
2015107,400$76,100BLS-OEWS
201699,860$76,930BLS-OEWS
2017103,110$78,470BLS-OEWS
2018104,360$79,380BLS-OEWS
2019105,850$80,750BLS-OEWS
2020116,300$82,320BLS-OEWS
2021100,400$80,180BLS-OEWS
2022107,490$82,840BLS-OEWS
2023111,170$93,310BLS-OEWS
2024120,100$93,310BLS-OEWS
2025106,770$99,280BLS-OEWS
Embed this timeline on your site

Free for any site. Paste this where the timeline should appear; it stays interactive, every datapoint stays cited, and it sets no cookies on your page. How embedding works

<iframe src="https://futurehistory.earth/embed/17-1011"
  width="100%" height="430" style="border:0"
  title="Architects, Except Landscape and Naval, a Future History timeline"
  loading="lazy"></iframe>

See all roles in Engineering