The Human Scale of Time vs. Time in Automation and Acceleration

A few weeks ago I had the pleasure of seeing Koyaanisqatsi again, but for the first time on the big screen. (I’ve owned this movie and the rest of the Qatsi series on DVD for decades.) If you’ve never seen it, it’s a 1982 movie with no dialogue about a way of living that is out of scale. For a 38-year-old film, the idea feels stunningly contemporary. I was fortunate enough, thanks to the Museum of the Moving Image, to be able to see it with filmmaker Godfrey Reggio in the audience and then listen to a discussion with him about it. (And to shake his hand afterwards and tell him how magnificent his work is. It’s always a joy to be to connect directly with creators and other significant people in our lives and let them know their work matters to us.)

During the discussion, he shared so many brilliant ideas: that at the premise of the film are the “wonders that are our afflictions;” that we speak technology and we breathe technology; that “what’s happening in the future is rooted in now;” and so much more – I took four pages of notes!

A great deal of the impact of the movie is the sped-up or slowed-down nature of the footage. As Godfrey Reggio said several times during the discussion, “that which is most present is least seen,” so sometimes we have to change the way we see our surroundings to notice them.

This aligns with research and thinking I’ve done around the relative experience of time in our lives, and how we can think about it in terms of the design of experiences both now and as we move into an increasingly automated future.

Human Understanding of Time

After all, even humans have different understandings of time: people who know more than one language have a different perspective on time because we’ve experienced other approaches to temporal framing, other terminology for concepts like “the day before yesterday” or “the year after next.”

People who have experienced the traumatic loss of someone they love have experienced time differently as well; in my own life, I found that dates accrued significance with time and life experience. There’s an additive effect of milestones on calendar dates, so the date a loved one died means something very different to me in the years after it happened than it did before.

Designing the Meaningful Experience of Time

For experience strategists and designers, in order to make a human-centric digital transformation it’s important to think about the practical side of these insights: how does an understanding of time affect your customers, users, visitors, patients, students, residents, and whatever roles humans play in your company, organization, city, museum, etc?
How does it speed up or stand still?
How is it associated with progress or delay?
How is it light and how is it heavy?
Does urgency matter?
What can you do in the design of experience to enhance the appreciation of time relative to the experience of your brand, place, product, etc?

Last August, Greta Thunberg took a slow boat across the ocean to her appearances in New York and beyond rather than accept the carbon footprint of flying. How does time relate to value and to values for the people in your communities?

The Relative Value of Time in Automation and Acceleration

And then, a big question: How might all of this sense of time change with the continued rise of algorithmic optimization and automated efficiency? What will increasingly machine-led experiences do to the human experience and meaning of time? For most of us, automation implies acceleration, and in a sense the devaluing of time. How will we preserve the value of time in an increasingly automated world?

As machines speed up certain tasks, are there likely to be others that we deliberately slow down? We’ve already seen the rise of trends in the past two decades that prize slowness and involvement, like the methodical and very hands-on approach to making pourover coffee, for example.

It seems important that we somehow be able to retain our humanistic, nuanced, compassionate model of the passage of time amidst the acceleration of the world around us.

Which means we’re going to need to do more to understand how our sense of urgency has changed because of faster modes of communication and always-on gadgets with push notifications. We’re going to need to do more to understand how our addition of the human values of nuance, context, judgment, and such will be measured and understood in the context of sped-up workplaces driven by intelligent automation.

There are no fast and easy answers here. But for those of you designing experiences, it may be worth taking a little time to ask some of these questions, so you can design a more nuanced experience with a more humanistic understanding of time.


If this theme resonates with the conversations your company, organization, or city has been having and you’d like to hire me to advise or as a keynote speaker at an event in 2020, please do reach out. Here’s to more meaningful experiences of time for us all. 

Measuring Human Work

One thing I said during last night’s “future of work”-themed event for Envoy in Atlanta (which will be re-broadcast as a webinar on January 30th) that I probably haven’t said enough elsewhere about human-centric digital transformation is that when it comes to people and productivity, we shouldn’t start with efficiency. That shouldn’t be the leading measure. In general, efficiency is for processes. People contribute to processes, but what they contribute to those processes is often of higher value than efficiency: it’s good judgment, context, decision-making, knowing when something needs to be slowed down or stopped in order to keep damage from happening — which is not efficient in the short term, but far more effective in the long term.

Whatever humans are being measured for that only comes down to efficiency is almost guaranteed to be replaced by machines. Which is fine! In most cases, we need to recognize and cultivate the higher value that humans bring to the work around those tasks and processes, though, which is where the new jobs of the future likely come in.

Ideally humans at work shouldn’t really be measured, per se, at all, but evaluated on performance according to values. Make people more effective at their work, help them do their work more thoughtfully and meaningfully, and more in alignment with the company’s purpose and goals, and inevitably their output will be better in every dimension, including efficiency.

New post at Medium: The Future of Work vs. the Future of Jobs

A recurring theme throughout my research, writing, and speaking has been the “future of work.” Er, or maybe the “future of jobs.” One reason they’re so hard to talk about is they’re not the same thing.

The future of work has to do with the way companies will achieve productivity in an increasingly automated ecosystem. The future of jobs, meanwhile, has to do with the way human beings will make their living, or in a theoretical system where resources are provided, how human beings will carve out their identity, which they have traditionally done at least in part through their chosen occupations.

Read the rest of my latest piece at Medium:

https://medium.com/@kateo/the-future-of-work-vs-the-future-of-jobs-88d75698b2a4

Human Experience = User Experience + Customer Experience + More

As we head into 2020, I’m still obsessed with the integration of human experience. My work over the last two decades in technology has often been centered on the user or the customer. What I began to realize was first of all that when we talk about the “user“ or the “customer“ that we are always talking about humans, and that it benefits us to think in a more holistic human context when we do that.

Now I find I’m not as interested in user or customer experience as I am in human experience: what does it mean to optimize for the human experience; what does it mean to be human at all; how can that apply to businesses, marketing, to schools, to hospitals, and well beyond.

But I also find that when business focuses on improving human experience in alignment with what the business objectives are, the chances for success increase. This is why in my books and keynotes and beyond I always talk about “human-centric digital transformation.” With emerging technology, because of the increased capacity and scale that it offers, it’s becoming increasingly important that that alignment is in place so that we don’t scale unintended consequences.

I believe some of the biggest opportunities right now for the future of human experience — and indeed the future of humanity in general — are in looking at the ways online meets offline, customer meets user, employee meets candidate, global meets local, how the gig economy is shaking up the work landscape, and on and on.

We’ll have to think about context, environment, culture, aesthetics, identity. We’ll have to think about the human journey instead of the customer journey.

We’ll have to think about metrics that measure the human experience. What will those be? How do you measure fulfillment? A life well lived?

This moment in history feels very chaotic, where automation, artificial intelligence, and other emerging technologies are rapidly changing our vision of even the near future. Meanwhile, 70-80% of CEOs think the next 3 years are more critical than the past 50. We’re clearly in a truly transformative time.

So there’s tremendous opportunity for UX and CX professionals to put a stake in the ground on behalf of a wider lens on humanity, and advocate for integrated human experiences in the midst of machine-driven interactions and transactions, to make them as meaningful as possible.

The Future May Be Bright Because the Kids Are Alright

It was an honor and a joy to guest lecture at my undergrad alma mater University of Illinois at Chicago last week. The campus was totally the same and completely different, and it was fun to revisit the places that were so meaningful to me 25 years ago.

Oh, and the students were almost without exception delightfully engaged, they participated, they asked great follow-up questions, and they came up to meet me afterward and expressed what had made them think, wonder, and hope.

And then! To top it all off, I got this lovely email:


So good news, everyone:
The kids are alright. ❤️

Make Your Own Calling (Transcript of Talk to NSA NYC)

On Thursday, August 22nd, I gave a talk to the National Speakers Association New York City chapter at their annual Summer Social event, to which they invite a lot of prospective members, mainly people who may want to make speaking their business but who aren’t yet there. The theme of the evening was to make it clear that we all have a process by which we get there, and I shared mine. The following is a transcript of that talk.

Photo credit: TE McLaughlin

All my life I’ve envied those people who say in interviews that they always had a singular vision of what they wanted to do with their lives.
I’ve never been one of those people.

I always wanted a calling. I would read interviews with famous people and so many of them said they knew that they had to write or they had to act or they had to play baseball.

I mean, did I have to become a professional keynote speaker, talking to corporate leaders about emerging technologies and digital transformation?
Uh, no. I did not have to.

In fact, throughout my life and especially throughout my career I’ve struggled with pinpointing and defining what I do and what I’m about. Maybe you have, too.

So whether you’re here tonight because you’re building a career as a professional speaker, or you think maybe you’d like to, or whether you just want to be able to do it well enough as a secondary part of your occupation to generate leads for your primary business —
whatever the case, I think now and then it’s helpful to go back and look for clues throughout our lives about what has led us to where we are, and how we can take it further.

Me? I grew up interested in lots of things. Reading was one of my favorite hobbies, as well as writing and making up stories, poems, songs, and plays, and performing them for my family and our friends. And charging maybe a quarter for admission. (Because I was also a budding entrepreneur.)
Also learning to program — which in the ’70s and ’80s meant typing up pages of code I’d torn out of printed magazines.

So somehow I was equal parts book worm, aspiring writer, stage ham, and computer geek. I was very adaptable, multi-skilled, as it turned out. But I would’ve traded it all in to have had a singular calling.

I wanted my calling to be music — I loved music — I sang at my church, played clarinet first chair in my high school band, and taught myself literally a dozen other instruments. My dream career was to be not just a singer or rock star, but specifically to be a singer-songwriter.

I have this one memory of being very young — maybe 6? — and using the family typewriter to type out lyrics so that I could study them as inspiration for learning to write great songs. You know the earliest one I can remember studying? Bob Seger’s “Against the Wind.”
Yeah, that’s right: a song about an aging man reflecting on the hard decisions in his life.
I was precocious, yes, but I think it also showed that I was also already fascinated with people and their stories, and the human condition.

Anyway, I really wanted music to be my calling, but I loved too many other things. I was too adaptable.

In first grade, I even won first place in two different statewide competitions:
one for a statewide young author’s contest
for a book called Herman the Horse Gets Lost,
and one for a statewide computer programming contest
with a game I’d written/coded called Doggie.
My love of animals was clearly strong even then (and I’ve now been a vegan for 21 years).

And then there were languages. When my grade school class hosted some foreign exchange students from France and we got handouts with French phrases to learn (“bonjour! je m’appelle Kate”), I discovered that I was good at learning them. (It turned out it ran in the family — my dad had been a linguist in the military, and was fluent in Arabic. Side note: he had also been a singer. Also multi-skilled.) I loved language. I taught myself basic Spanish during family trips to the public library. My older sister studied German in high school, and I helped her with her flash cards — and along the way, I picked up the vocabulary and an affection for the language. I’m not kidding, I loved languages.

So while there was no single calling, there were all these recurring themes: writing, performing, computers, music, fascination with people, and language.

That’s not exactly a college major.

So when it came time for college, I couldn’t decide if I was going to major in music, theater, or language. Ultimately I decided that what I wanted to do in music and theater I could do without a degree in those fields, but what I wanted to do with languages
— which was, get this, to become an interpreter at the United Nations
(remember that, because it comes back up later)
— I could only do with a specialized degree.
So I majored in German, minored in Russian and linguistics, and had a concentration in international studies. I went all in on languages.

And then I built my career in technology. But that actually makes a certain kind of sense.

I’ll explain.

I think the thing I always loved about language is that things could mean different things. That a book is also a Buch and a livre and a libro and a книга(kniga)… that you could have different names for the same thing. Which meant, I realized, that a thing exists separately from whatever you call it. Which meant that meaning itself was adaptable.

It turns out that that idea — that meaning isn’t fixed, that we learn and curate our own sense of meaning, that we can create meaningful connections with each other based on what we have in common — that idea became the undercurrent of the work I’ve done throughout my life.

Part of what drives my work in technology is a curiosity about what makes humans human. My contention after some 25 years of working in this field and researching this topic is that the most notable attribute about humanity — and the one most pertinent to a discussion of technology — is that humans crave meaning.

Meaning, after all, takes many forms in our lives: the considerations of relevance, significance, purpose, even our own existence in the cosmos. Meaning is about what matters.

And one of the ways I describe my work is that I am helping humanity prepare for an increasingly tech-driven future, and what’s so fascinating to me about the idea that meaning is what matters is that you can also say that innovation is about what is going to matter.

And all of this is true on both an organizational level and an individual level.
So conveniently, the same tools that I now talk to corporate leaders about in preparing them for digital transformation are tools we need as speakers:
Purpose, relevance, alignment.

We need to define what is most meaningful to us and to our audience to find the alignment between them. We have to be able to tell our own most meaningful stories and talk about our own experiences in a way that people can see how those insights are relevant to them.

And we have to dig deep for our clarity of purpose and know why we’re doing what we’re doing, and as I tell business leaders, we have to know what we are trying to achieve at scale. In other words, what does this look like when it’s very successful? For us that means, not just how much money do you hope to make as a speaker, but what changes do you want to be part of making in people’s lives and in the world?

For me that can be summarized in the phrase Tech Humanist, which is both the term people sometimes call me and the title of my most recent book.
The idea of the book — the idea of my work — is that technology is changing everything, most notably (and what I care the most about) human experience, and business is most responsible for those changes. So there has to be a way to marry the interests of business and humanity through tech, and my work is dedicated to doing just that.

So in practice, what I speak about is digital transformation. But every speaker’s subtext is transformation, of some kind: we’re all trying to help people see their way from one state of mind or being to another state.
In my audience’s case it’s from a state of fear about the future and technology to a state of preparedness for the future and curiosity about how technology can help amplify their company’s purpose.

And in the biggest picture sense, as I mentioned before, I like to say I am helping humanity prepare for an increasingly tech-driven future.
That idea is endlessly inspiring to me, and in my experience, to make a career out of this, you have to draw from what you’re naturally curious and inspired about.

There also has to be alignment with what the market wants. Sometimes that’s not entirely what you want. My moments of strongest market validation this year followed a sarcastic conspiracy tweet about facial recognition, so now I get tagged on a lot of posts people make about technology conspiracy theories and invasive use of facial recognition. Some of that is relevant and interesting to me, but I can’t imagine reshaping my career to become the Tech Conspiracist.

In any case, this is what it all boils down to, all the advice about finding your niche, your positioning, your value proposition… it’s about whatever consumes you in the middle of the night anyway, and what you’ll wake up with fresh ideas about. For me, that is somewhere at the intersection of meaning, technology, and the human condition.

Because eventually I realized that if you aren’t born with a singular calling, you get to spend the rest of your life knitting the threads of your passions together to form one. You get to make your own calling.

In many ways what I do now is the perfect combination of what I dreamed of doing as a kid.

No, I’m not a singer-songwriter, but I do write and I do perform.
I certainly use my skill with language both in a broader sense of understanding the meaning of things
and in a literal sense: I get to try out my foreign languages when I travel internationally.
And these days it takes a pretty good deal of tech savvy to do some of this work, in terms of the digital marketing it takes to build a business. So I’m grateful to have that in my background, too.
So although it sort of bothered me as a kid, I now consider my versatility to be my strongest asset as a writer and speaker:
so many things interest me that I can draw parallels between unexpected ideas for new insights.

Speaking has become my main source of income, and it’s an amazing career because once you decide what your message is,
you can get the message out to people who can take it to heart and make decisions with it
And I’ve been honored to be asked to speak for big companies with huge impact like Google,
forward-thinking cities like Amsterdam,
and even this year, thanks to my friend Jennifer’s invitation, at the United Nations.
Remember I mentioned that?
When I saw the interpreter booths at the back of the room I got chills.

Getting to speak for cool clients is definitely a perk of this business, and there are plenty of other upsides to this job: travel can be fun, the money can be good, and you can feel like you’re making a difference.
The downsides? The road warrior life can also be exhausting, the time away from friends and loved ones is tough, and most people have no idea what it is you actually do.

As a speaker, you have this weird job no one quite understands
— a lot of people think it’s more glamorous or more sleazy than it really is — 
so it’s nice when you can be around people who understand
that what you’re doing is mining the depths of your experience,
sharing truths about yourself and your observations about the world
so you can help your audience understand how to make a difference, how to transform.

The barrier to entry in this field isn’t very high: you can start speaking anywhere and anytime.
There is no one right way.
You can absolutely use your unique combination of skills and life experiences to carve out a path that suits you so perfectly you might swear it’s your calling.

But the barrier to greatness is a lot higher
and you need great people around you to support you,
to challenge you,
and to encourage you to do better and bigger work.

That’s what’s so great about building our network here and in other communities of speakers, amongst all these other adaptable, versatile, multi-skilled people like you with varied and colorful life experiences who are just as much on a quest to make your life into your calling, get your unique message out, and transform the world.

2018: Transformations All Over the Place

It’s a good thing the work I do is in insights and transformations, because probably little else would have prepared me for 2018.

On a global scale, this year seemed to be about 1) getting a grip on the scale and immediacy of climate change, 2) raising questions of policy and human decency toward migrants and refugees, 3) comprehending the magnitude of emerging data privacy issues and the impact of technology on our behavior and our lives, and 4) dealing with a recidivistic slide in countries around the world into populist nationalism and fascism. So. Y’know. Just little stuff.

Transformation and Systems

Since my own work is at the intersection of technology and humanity, I was particularly interested in the stories that pertained to that third topic: data privacy and the impact of technology on human behavior, experience, and life in general. But I also know that none of these topics happened in a vacuum. Our willingness to confront climate change—or not—will parallel and perhaps have rippling consequences in how we handle the emergence of artificial intelligence. Acknowledging and dealing with underlying issues will be key in both scenarios. And the discourse around those topics will shape the global political theater, and vice versa. It’s all connected. 

So it’s timely that this is the year my book Tech Humanist was published; it delves into the idea that how we articulate purpose and values inside business will have effects at scale on the human experience. The reviews and testimonials on behalf of the book have been incredible and humbling. Here was one:

“For the past two decades, the Computer History Museum has chronicled the amazing rise of the technology which just in our lifetime has become the most powerful agent of change the world has ever known. While the stories of creativity, invention, innovation and impact are fascinating, what all this means for the future and humanity is what we are poised to take on now as an institution. Nowhere has this become more clear to me and my colleagues here at the museum than in reading Kate O’Neill’s blog about a year ago entitled “The Tech Humanist Manifesto.” The idea that we need to develop and imbed in all future technologies the very best of ourselves and our ethics and ultimately have the goal of those emerging technologies to make us better humans has resonated deeply into our own plans of what we will present, discuss, and debate going forward.
After reading the manifesto, my initial thoughts were ‘Kate should write a book on this.’ Which I am very happy that she has done, and now her humor, excellent insights and heartfelt philosophy can reach the leaders and influencers throughout the world. And the rest of us too.”
— Gary Matsushita, Vice President, Computer History Museum

As the book launched in September, I embarked on a nearly-four-week long speaking and book tour, finishing the trip by being recorded for the “Talks at Google” lecture series, which they describe as bringing “the world’s most influential thinkers, creators, makers, and doers all to one place” — and that place is the Googleplex in Mountain View, California. With that description, I can’t tell you how honored I was to be asked.

If you don’t have time to watch, I’ll give you the premise: the technology-driven future can be filled with human meaning. I genuinely believe that. It’s the undercurrent of my work, and my personal and professional purpose. With automation and artificial intelligence amplifying and accelerating the goals of business, it’s an important message for business leaders and experience designers to hear. 

Human-Centric Digital Transformation in Business

It encourages me that so many companies have signed on to this “Tech Humanist” message of human-centric digital transformation by hiring me to keynote their corporate events (and it was lovely that so many this year were in wonderful locations, such as Palm Beach in April for a Kelly Services event, and Barcelona in May for a Cisco event). 

Delivering the keynote at a Kelly Services event in early 2018

In October, I was delighted to partner with Cognizant and their Center for the Future of Work for a webinar on automation and the future of human jobs and work. We talked about how and when human jobs will be augmented, displaced, and replaced by automation, but also how new jobs will be created, and what those jobs are likely to be. (I am already booked to do a good deal more writing and speaking on that subject in 2019, as well; sign up for the KO Insights email list if you’d like to be notified when new insights are available.) 

In December, analyst firm HfS Research, which specializes in automation and artificial intelligence for enterprise, invited me back to keynote their FORA (Future of Operations in the Robotic Age) event on the hyperconnected economy. Again, they did this specifically to emphasize the human angle in this otherwise technology-heavy discussion of enterprise operations. I find that incredibly encouraging, and I’d love to suggest that you should, too.

The Tech Humanist Movement Grows

My “tech humanist” message and movement is spreading in ways I could never have predicted, too: some of this year’s highlights for me were seeing my work finding its way into university curricula, such as having The Tech Humanist Manifesto licensed for inclusion in a textbook, and seeing my work spread internationally, such as signing the paperwork to have my previous book, Pixels and Place, translated into Korean.

Transformation in Cities

In fact, speaking of the international scale of the message: in early December I was honored to be asked to keynote the Amsterdam Economic Board’s annual meeting, as part of an initiative preparing the city of Amsterdam to be future-ready for its 750th (!!!) birthday in 2025. It was the perfect synthesis of Pixels and Place and Tech Humanist: I shared my thinking about how cities of the future can be fully human-centric while embracing data and emerging technology to empower its citizens, its visitors, and all the humans who live, work, and play in the city. 

Transformation Happens on a Personal Level, Too

The theme of transformations with systemic consequences carried over on a personal level, too: I celebrated 20 years since quitting smoking and 20 years since going vegan. Apparently 1998 was also a pretty darned transformational year for me.

Oh, and another transformation: suddenly this year I became allergic to mango! I love love love mango, so that was disappointing. Now I have to carry an Epi-Pen with me everywhere; that’s a weird change that could have systemic effects. After all, who knows if someday I may need to offer my Epi-Pen to someone else who’s having an allergic reaction? (It’s a good idea for more of us to carry Epi-Pens.) 

On a heavier note, this was also a tough year for transformative losses: most notably my dear friend Jen lost her husband in late summer, and for me and many of her friends, the following weeks and months were devoted to seeing her through her grief and adjustment to being a widow, something I am unfortunately qualified to help with.

Speaking of which, another systemic effect: with Kate Spade’s and Anthony Bourdain’s deaths by suicide happening just days before the 6th anniversary of my late husband’s death to suicide, I felt their deaths acutely as triggers. Triggers are, at the moment, talked about through a sneer in contemporary culture, but they’re real and they’re hard; I wrote about them in this essay called “Suicide vs. Love” back in 2014 when Robin Williams died.

It All Connects Together

And the reason why all these deeply personal matters are relevant here, in this year’s business summary along the theme of interrelating systems, of how one planet’s shadow causes change on another planet’s surface, is that this is how we must begin to think about humanity. We do not live in isolation; we do not live in tidy boxes that separate one effect from another. Our lives and our deaths affect one another. Our decisions—professional and personal—shape and change each other’s lives.

The world around us is transforming in big, fast, sometimes frightening ways, and it will continue to transform, radically and quickly. We must adapt with it, and we must take responsibility for our role in making the best of those changes. That means thinking about the connectedness of systems, and about the connectedness of us all.

Happy New Year, and may 2019 bring about happy and meaningful changes for you, for me, and for everyone. 


If this theme resonates with the conversations your company, organization, or city has been having and you’d like to hire me as a keynote speaker at an event in 2019, please do reach out. Here’s to a meaningful year for us all. 

10 Fundamental Insights about the Tech-Driven Future for Humanity*

*and why women, POC, and other underrepresented people in tech should lead it

Today I spoke at the Irish Business Organization of New York’s women’s networking luncheon and addressed them on the tech-driven future for humanity, and why women should be leading it.

Tech Humanist front cover

Here are those insights in brief; if you’d like to hear more of this, of course, I elaborate on all of these points within my keynote presentations and my books.

  1. The tech-driven future will be neither dystopia nor utopia. It will be what we make it.
    We tend to tell a story about technology that pits the worst case scenario against the best case scenario — and conveniently leaves our actions and responsibilities out of the equation. But the truth is we are very much responsible for shaping the future of technology.
    Is it possible that tech can even help us be better humans? As I repeatedly asserted in Tech Humanist, with the emergence of automation, artificial intelligence, and other capacity-expanding tech, we will have the opportunity to create the best futures for the most people.
  2. Humans crave meaning.
    We just do. We seek meaning, we’re compelled by meaning; when you offer meaning to us, we can’t resist it. To bridge the gap between what makes tech better for business and better for humans, business needs to create more meaningful human experiences at scale.
    Moreover, the shape meaning takes in business is purpose, and the amazing thing about purpose is that when you can be clear about what you are trying to do at scale, it helps both humans and machines function more effectively. Humans thrive on a sense of meaning, common goals, and a sense of fulfilling something bigger. Machines thrive on succinct instructions. A clearly articulated sense of strategic purpose helps achieve both of these.
  3. Robots aren’t “coming.” They’re here.
    Everyone talks about robots coming 
like they’re some far-off future 
as if millions of homes don’t already have Roomba and Alexa.
  4. What tech does well vs. what humans do well will continuously evolve.
    What does tech do well, for now? Productivity: 
speed up laborious tasks, improve reliability of variable tasks, automate repetitive tasks, archive, index. Certain types of predictive insights: 
track data, expose patterns. Security: 
impose rules and limits, regulate access.
    What doesn’t tech do as well? Tech isn’t so hot at: 
Managing people. Making judgment calls. Fostering relationships. Discerning contextual nuance. (Yet.)
    Also, humans can’t leave meaning up to machines. That’s value humans add to the equation.
  5. Machines are what we encode of ourselves.
    And since that’s true, why not encode our best selves? Our most enlightened selves?
  6. Data-rich experiences tend to be better experiences. Just remember that analytics are people.
    Everyone loves the oft-quoted statistics about data: every 2 days we create as much information as we did from the beginning of time until 2003, and over 90% of all the data in the world was created in the past 2 years.
    And there are huge opportunities to use this data to make amazing, delightful, fulfilling, enriching human experiences possible.
    But what’s important in all of this is remembering that most of this data comes from humans, and represents human identity, preferences, motivations, desires, and so on. Most business data is about people. Analytics, in other words, are people. And while relevance is a form of respect, discretion is, too. So we need to treat human data with respect and protect it excessively, even as we use it to inform the design of more meaningful experiences.
  7. If you don’t align human experiences with meaning, you risk building absurdity at scale.
    There’s a story I tell (and it’s in the book) about a big retailer encoding a behavior change that, at some point, could put a cultural norm in jeopardy. And the upshot is: experience at scale changes culture. Because experience at scale is culture.
  8. “Online” and “offline” are blurrier than you may think.
    This is basically the whole premise of my previous book Pixels and Place, but the short version of this insight is: just about everywhere 
the physical world 
and the digital world converge, 
the connective layer is 
the data captured through 
human experience.
    And to create more meaningful human experiences, 
we need to design more 
integrated human experiences.
  9. Everything is in flux. Embrace change.
    70-80% of CEOs say the next three years are more critical than the past 50 years. The coming years, for example, are likely to see massive shifts in the scope and types of jobs humans do. Some companies will gain tremendous efficiencies from the use of automation; I propose that companies reinvest some of those gains 
into humanity in various ways: better customer experiences, job training, basic income experiments, etc. And that where possible, companies look to repurpose 
human skills and qualities toward higher value roles.
  10. Diversity in tech is a strategic asset. Scratch that: it’s an absolute imperative.
    We need women — 
and diversity of all kinds — 
in tech, 
leadership, and entrepreneurship for myriad reasons: because algorithms contain our biases, because it makes the space better for everyone, because we need diverse representations of the problems tech can solve, and on and on.

If these ideas and insights resonate with you, check out my book Tech Humanist: How You Can Make Technology Better for Business and Better for Humans. Or inquire about booking me to speak at your company or organization.

Here’s to a more meaningful future for all of us.

Experience Timeline by Technology Era

To understand what constitutes experience and what has constituted experience throughout different eras of technology, I offer this timeline of what characterized and will characterize experiences throughout the major eras of recent and forthcoming technology. We are somewhere around the social-enabled and “smart” era, with elements of the “intelligent” era beginning to show up and legacy remnants of the previous eras still left behind.

To understand what constitutes experience and what has constituted experience throughout different eras of technology, I offer this timeline of what characterized and will characterize experiences throughout the major eras of recent and forthcoming technology. We are somewhere around the social-enabled and “smart” era, with elements of the “intelligent” era beginning to show up and legacy remnants of the previous eras still left behind.

Experience Timeline by Technology Era

platform? context? (not eras, because many overlap)

analog (industrial/pre-industrial?)

digital

web-enabled

social-enabled

“smart”/connected data sources

“intelligent”/AI

fully virtual / ambient virtual

characterized by

solid state, tangible

electronic, power-operated

interlinked, global knowledge, global village

social sharing, FOMO, FONS, selfie culture

data tracking, anticipatory based on past behavior, algorithmic

anticipatory based on externalities, secondary behaviors, cognitive cues, emotional indicators

dominant eras

??-?? (ongoing)

19th century – ?? (ongoing)

1990s – ?? (ongoing)

2000s – ?? (ongoing)

2010s – ?? (ongoing)

2010/20s – ?? (ongoing)

automation

mechanical

electronic

interlinked

social triggers

algorithmic

anticipatory

dominant interface

tactile

tactile, impulse?, text

desktop screen, text, images

mobile screen, text, videos

voice

voice, gesture, ambient

sensory interactions

buttons, dials, levers, etc

typing, mouse, visual cues

typing, mouse, visual cues

typing, touch, visual interactions

buttons, keypads, visual displays, voice

visual

y

y

y

y

y

y

tactile

y

y

y

audio

indicators

indicators

content

content

interactions

Interactions, triggers

ambient cues

kinesthetic

motion-powered

gestures to trigger sensors

gestures to interact

olfactory

detect gas leaks, detect coffee smell

simulate aromas?

taste

simulate taste?

What does placemaking look like in each context?

What does business need to do to innovate in each?

What do meaningful human experiences look like in each context?

What is the future of meaningful human experience?

The future of meaningful human experience is multi-sensory, contextual, dimensional, integrated, intelligent, responsive, anticipatory, adaptive, and inclusive.

 

Make It Fun

The “selfie emoji”/bitmoji feature in Google’s new chat app #Allo is well integrated and should drive adoption. The app also features AI in the form of its machine learning capability, encouraging users to interact with a chatbot assistant that learns and adapts. But to do that at scale requires widespread adoption, so they turned to Addictive Product 101: make it fun. :)

(Think it really looks like me or nah?)