The Future of Spatial Intelligence

Most people look at a photograph of a room and see a room.

Fred Abler sees a database.

Not a database of pixels, but a database of relationships: distances between walls, pathways through space, patterns of light, architectural styles accumulated over generations. To him, every real estate photograph is a fragment of a larger puzzle that computers are finally learning to assemble.

For nearly four decades, Abler has worked at the edge of a question that sounds deceptively simple: How do you teach a machine to understand space?

The question has followed him from early computer-aided design laboratories in the 1980s to artificial intelligence research today. Along the way he helped build intelligent design systems before most people had heard the phrase AI, pioneered one of the earliest subscription businesses for digital 3D content, and became a formative figure in the evolution of architectural visualization.

Now he believes the next great platform shift is already underway.

The future, he argues, belongs to machines that can reconstruct the physical world from ordinary photographs and transform buildings into living digital environments.

That conviction is rooted in a lifetime spent thinking about space itself.

Abler’s father was a geography professor. The family moved constantly: Ohio, Pennsylvania, Minnesota, British Columbia. New schools. New neighborhoods. New landscapes. By the time he arrived somewhere, it often felt temporary.

“You know you’re going to leave,” he told me. “You become detached in a certain way.”

While other children developed roots, Abler developed a sensitivity to environments. He learned to read places. Long before he could explain it, he possessed an unusual capacity to perceive the character and structure of space.

“I always had an ability to feel space.”

That instinct eventually carried him into architecture, construction management, and computer-aided design. By the mid-1980s, when many architects still viewed computers as expensive drafting tools, Abler was imagining something more ambitious.

At California Polytechnic State University, he joined research projects exploring whether computers could become active participants in design. The systems his team developed did more than record decisions. They pushed back. They introduced constraints. They offered suggestions. They responded.

Today we would call them intelligent agents.

Back then, almost nobody used that language.

“We were doing this thirty-six years ago,” he said.

The work attracted the attention of the defense industry and eventually led to large-scale software systems used in shipbuilding and engineering. Yet the deeper influence on Abler’s thinking came from artificial intelligence research, particularly the work of cognitive scientist Marvin Minsky.

Reading The Society of Mind convinced him that intelligence might not be a singular phenomenon at all. Complexity, Minsky argued, could emerge from many simple processes interacting together. Intelligence was not magic. It was organization.

That idea stayed with Abler because it suggested something unsettling and powerful: human intelligence and machine intelligence might differ only in scale and substrate, not kind.

Decades later, as generative AI reshapes how people think about language and images, Abler sees the next frontier forming elsewhere entirely.

It is not language.

It is space.

Over the past twenty-five years, real estate platforms like Zillow, Redfin, and Airbnb have quietly accumulated one of the largest visual archives of physical environments ever assembled.

Millions of homes. Billions of photographs. Decades of documentation. Most people see those archives as listings. Abler sees them as latent spatial data waiting to be activated.

Computer vision systems are rapidly improving at inferring depth, geometry, material properties, and spatial relationships from ordinary images. What once required expensive scanners or meticulous modeling can increasingly be reconstructed from photos already sitting online.

If that trajectory holds, a listing photo stops being a picture.

It becomes raw material.

“The sleepers in this industry aren’t who people think they are,” Abler said. “People are chasing building technology while proptech is going to eat their lunch.”

Once a home becomes a reconstructed digital environment, the experience of commerce itself begins to shift. Instead of scrolling through images, consumers move through space. They place furniture, test materials, explore renovations, and simulate changes before committing real money.

Abler calls this emerging model “see-commerce.”

The distinction is subtle but profound. Traditional e-commerce presents objects. See-commerce presents environments.

A sofa is no longer an isolated product. It becomes something you inhabit.

The implications extend beyond retail into architecture, design, and manufacturing. Entire industries begin to converge inside shared digital space.

Abler imagines consumers exploring the visual DNA of architectural styles the way they now browse playlists. Want Tudor homes built between 1920 and 1935? AI systems could identify patterns across thousands of examples, remix them, and generate new design possibilities in minutes.

The architect’s sketchbook begins to resemble a recommendation engine.

The question, then, is what happens to human judgment when design becomes frictionless.

Abler is optimistic about access. He believes AI could democratize architectural thinking the way desktop publishing democratized graphic design. More people will be able to shape their environments directly.

But he also sees acceleration everywhere. Styles spread faster. Aesthetic cycles compress. What once took decades may now take months.

Farmhouse chic. Desert minimalism. Algorithmic vernaculars that appear and vanish at digital speed.

Even so, Abler resists nostalgia.

Good taste, he argues, should not be gated.

At the same time, he sees something more subtle emerging beneath automation. A reorganization of creative labor itself.

“I think these roles all merge into a single ‘Tastemaker’. That’s an individual or maybe soon a ZILLOW/IKEA/CONRAN/ILLUMS BOLIGHUS-like virtual/AI design team and tools online. But what remains intact is human “intent”, it’s the human X factor — and it’s why everyone keeps using that annoying phrase “design intent.” It’s the only thing AI doesn’t have yet, so we’ll protect and nurture it as our unique contribution for some time.”

What follows, he suggests, is not the disappearance of design expertise but its condensation. A single role that blends curation, composition, and constraint.

And yet beneath even that shift lies something slower and more fundamental: the long cultivation of spatial literacy itself.

“And what’s underappreciated is how long real design literacy actually takes. Here’s a subtle rule most people never learn: great interior designers only fill a room to about 60–70%. The space around objects is what’s actually designed and what you’re enjoying — it’s what binds everything together. The Japanese call it ma.

Wealthy people with enormous houses and near-empty rooms aren’t being austere. They typically have some of the most sophisticated spatial taste(s) in the world. And instead of firing up the jet, and going to Belgium for ice-cream like Elvis did, they have their Belgium ice-cream on the patio in Montecito, a patio that looks like it’s in Belgium. But with much better weather.

I think this kind of spatial connoisseurship is one of the few true perks of being a billionaire. You can go anywhere you like, but you can also bring your favorite places and spaces to you, in your own home or compound. And that sense of calm, perspective, and personal restoration this a la carte spatial sampling (tasting?) gives them is something us mere mortals can’t buy.

Aside- Were I much younger I’d start a Rick Steves-style youtube series on architectural history and cultural spatial differences of different places. NetJets could sponsor it. Massive interest, and global unmet need for giving people better models of space to think (and experience) with.”

The AIRBnB effect is homogenizing. And among design professionals we (sometime pejoratively) call it the ‘democratization of design’. I believe in cheap things that make you truly happy. So I love democratic design. I could care less if my Eames chair is a knock-off, or if that Henry Moore sculpture in my back yard is made of plastic. But others find it ‘pedestrian’. But everyone likes ice-cream. It’s now commonplace and delicious, and like Steve Jobs said, if you want to make people happy, sell ice-cream.

And RGB lighting and biometric technologies offer new layers of personalization, protection and projection for/from our bodies. The powerful feelings lighting can convey are just simply astounding.

My grandmother was french canadian, and she had two unusually modern cylinders of glass lamps in the north woods of Wisconsin. She left them on at night, and the contrast of these modern ‘night’ lights shining in a dark 1940’s forest in Wisconsin still moves me. So I have lots of night night lights in my house and it connects me to this memory deeply.

So temporarily projecting RBG moods, or real-world weather, and/or lives scenes into rooms (jungle rooms, or the nama-stay (converting your office into a yoga spa for 30 minutes every day). The holodeck will be a new intermediate layers.

These new digital layers of expression (lighting) and the relentless human pursuit of novel experiences, believe will actually make see-commerce more open, bypassing protected design boundaries, giving new creators public access and foster even greater experimentation.

The deeper question is no longer about democratization alone, but what happens when space itself becomes editable.

“I think about old Star Trek episodes a lot, and especially the Holodeck,” he said. “Here we are thousands of crew members literally light-years away from ‘home’. And yet they completely missed the obvious Holodeck story: the yeoman who psychotically programs their own world in the holodeck, and then refuses to leave.”

“The episode just writes itself.”

“After McCoy’s diagnostic visit to the Holodek, he reports back to the Captain: ‘Dammit Jim, the yeoman is absolutely a Type 5 delusional schizoid — but can you blame them? It’s positively lovely, in there.’”

The humor lands quickly. The implication lands more slowly.

“So that ‘inhabit’ question and tension is real, and it’s coming. But I think our sense of reality largely stays intact. And unless we have digital equivalents of kool-aid cults that suddenly de-camp into the multi-verse, we’ll always want and need our preferred reality to retreat to — like sleeping in your own bed again, even after a great trip.”

“The future will be a great trip itself.”

Over the next thirty years, Abler believes people will develop spatial sensibilities once reserved for architects and artists. As AI shortens work and expands leisure, environments themselves will become a primary medium of experience.

He calls it “haptic tourism,” a lineage that runs from the caves of Lascaux to Graceland’s Jungle Room, from the Madonna Inn to IKEA and Airbnb. Space has always been designed, staged, and consumed. AI simply expands the scale.

“Space has always already been productized,” he said.

Zuckerberg saw the direction clearly, he argues. He simply misjudged the execution.

Long before artificial intelligence became fashionable, Fred Abler was asking how machines might understand the spaces around us.

Now the question is no longer theoretical.

It is architectural.

Fred Abler is a pioneering U.S.-based entrepreneur working at the intersection of spatial computing, 3D environments, and emerging design tooling. He has been active in professional networks discussing immersive technologies, digital twins, and next-generation 3D workflows.