Today, it wouldn鈥檛 even be enough to buy one, if it was the newly combined and , now valuing itself at $1.25 trillion. It would also fall short for purchasing both of the next two 鈥� and 鈥� at post-money valuations they鈥檙e reportedly seeking.

So how much would it take to buy the top 100 at current valuations? About $3.5 trillion, according to an estimate from private share marketplace . 2

Call it the age of valuation escalation. Leading startups, traditionally known for their skill in growing businesses, are now demonstrating a similar mastery of scaling how much they鈥檙e worth.

It鈥檚 not exactly a new phenomenon, as top venture-backed companies have a long history of securing significant up rounds. What鈥檚 remarkable about the current era, of course, is the sheer size of the valuations.

The past couple months have offered a particularly fast-moving blur of聽 reported valuation gains we thought might warrant a summary.

To illustrate, we鈥檙e highlighting gains in two categories: companies valued at $100 billion-plus (the biggest unicorns)聽 and those valued at between $20 billion and $100 billion (the next-biggest unicorns). Both are seeing some big swings up and to the right.

The biggest unicorns

We鈥檒l start with the biggest recent upward moves at the most highly valued U.S. companies, in order of valuation:

: SpaceX acquired 鈥檚 xAI last week in a that will reportedly value the combined company at $1.25 trillion. The deal comes in advance of an anticipated IPO later this year.

: The generative AI giant is reportedly in to raise $100 billion in fresh funding at a valuation of $750 billion or more. In October, the company at a $500 billion valuation.

: The Claude chatbot developer and OpenAI rival has reportedly at least $10 billion for a new financing at a $350 billion valuation this year, and is said to be likely to a total of more than $20 billion.

: The AI and data unicorn Monday that it has raised at a $134 billion valuation. The latest financing includes $5 billion in equity investment and $2 billion in debt funding. The company also said it crossed a $5.4 billion annual revenue run-rate.

: The autonomous driving company raised $16 billion in last week at a $126 billion post-money valuation.

: The payments platform a tender offer a year ago at a $91.5 billion valuation. It鈥檚 unclear what its most recent valuation would be, although market trends indicate it would likely be higher.

The next-biggest unicorns

: The blockchain and cryptocurrency company had a $40 billion valuation a in November.

: The developer of general-purpose humanoid robots a $39 billion post-money valuation for its last financing, a .

: The AI financing automation platform was at $32 billion in November, up from $22.5 billion just a few months earlier.

: The AI startup was at $32 billion as part of a in April.

: The defense tech unicorn secured at a $30.5 billion valuation in June.

: The AI processor developer picked up a round last week that聽 set a post-money valuation for the company of approximately $23 billion.

: The crypto exchange was reportedly around $20 billion after a funding round in November.

: The company known for its Cursor AI coding platform announced in November that it raised $2.3 billion in Series D funding at a $29.3 billion post-money valuation.

Gains are quite recent

Looking at the companies in both the biggest unicorns and next-biggest unicorns categories, what鈥檚 striking, in addition to the huge valuations, is how recently so many of these companies set or secured these high numbers.

Just over a year ago, SpaceX鈥檚 valuation hit $350 billion following a closely watched secondary share sale. That was considered quite high at the time.

And just 14 months ago, OpenAI鈥檚 valuation was . It was also considered quite high. Go figure.

What鈥檚 also noteworthy is that many of the next-biggest-unicorns secured their highest valuations to date in the last couple months of last year. That was prime-time for valuation escalation, perhaps in anticipation of an opening IPO window and growing investor consensus regarding early leaders in hot, emerging sectors.

Will these numbers hold up? Who knows. But one thing is clear: Anyone predicting a retraction for the 鈥渉igh鈥� valuations attributed to leading unicorns a year or two ago has so far been mostly very wrong.

Related reading:

• The SA国际传媒 Unicorn Board
• Cursor鈥檚 $2.3B Financing Reminds Us: Coding Automation Is Still Ultra-Hot

Illustration:

Citing sources briefed on OpenAI鈥檚 recent pitch to investors, Reuters said the San Francisco-based organization expects $200 million in revenue in 2023 and $1 billion by 2024. OpenAI makes money by charging developers to license its technology to generate text and images.

OpenAI was co-founded in 2015 by , and others. It first drew mainstream attention for DALL-E, an AI that can create detailed, realistic images (whether to call them 鈥渁rt鈥� ) in any style of almost any subject, based on written prompts from users.

Last month, OpenAI unveiled ChatGPT to the public. The chatbot, which can perform search queries and write entire essays based on prompts, immediately garnered attention in the tech and media worlds 鈥斅爊ot least from writers worried it鈥檚 so good, it could soon replace us.

Big bucks go to AI

Artificial intelligence as a whole is one of the most heavily funded startup sectors. Funding to AI startups in recent years has accounted for as much as 10% of all global venture capital dollars invested, SA国际传媒 data shows. Last year, nearly $70 billion in venture capital went to AI startups worldwide.

Along with OpenAI, the most highly valued startups in the space include data and AI company (valued at $38 billion), driverless auto company ($30 billion), and AI writing assistant service ($13 billion).聽

OpenAI alone has raised more than $1 billion in venture funding, according to SA国际传媒 data, with as its largest investor. , , and have also provided capital.聽

The organization was recently valued at $20 billion in a secondary sale of its shares, Reuters reported. Its supporters see potential for its technology to generate huge amounts of revenue by automating even creative tasks like writing and design.聽

Still, several prominent VC firms declined to invest earlier this year, 鈥渜uestioning if it could justify a higher valuation or compete with rivals like Inc.-owned ,鈥� Reuters reported, citing sources familiar with OpenAI鈥檚 fundraising efforts. (Though the report didn’t say, it’s reasonable to assume OpenAI’s unusal cap on venture returns played a role in investor reticence as well: In 2019, OpenAI that limit the returns for its investors to 100x, or possibly less in the future.)

Microsoft also provides OpenAI with computing power. The software giant increasing its stake in OpenAI, believing that its artificial intelligence technology could generate business for Microsoft鈥檚 cloud business as more companies embrace AI and automation.

“We’re going to see advances in 2023 that people two years ago would have expected in 2033,鈥� Microsoft President told Reuters in an interview. 鈥淚t’s going to be extremely important not just for Microsoft’s future, but for everyone’s future.鈥�

Related Reading:

• Writing-Focused Startups Draw Big Bucks
• The Promises And Perils Of A Decade Of AI Funding
• Billions Of Dollars Roll Into AI-Enhanced Cybersecurity
• AI Could Transform Medical Imaging 鈥� So Why Don鈥檛 We See It More?
• From Wigs To Fish, Some Very Quirky AI Startups Got Funded In 2022

Illustration:

Subscribe to the SA国际传媒 Daily

And sporting this spiffy and alert robot, startup has just raised $15 million Series B from investors that include Yidu Cloud, Tsinghua AI Fund and Matrix Partners. This brings the Santa Clara-based startup funding to $26 million, and the capital will be used for further product development and expansion into European and American markets.

What It Does

Founded in 2016, is working to make its mark in the smart home products industry, a sector CEO 蝉补颈诲听 , will be worth up to $28.4 billion this year. With Lucy, Trifo is betting that it can offer robots that do more than just vacuum, like Ironpie, its cleaning-only robot. The robots also can protect. To me, this reads that the startup wants to be a relied-upon and ingrained part of the family.

But, not so fast. A public, Bedford, Massachusetts-based competitor, , comes to mind. created the popular vacuum robot Roomba, which vacuums in homes. But, , it also has a fleet of other service-specific robots: one to mop floors, one (coming soon) to mow lawns, and one to teach kids how to code. The last robot, its newest, is a nod to iRobot offering more content than cleaning, and giving its robots a home in not just homes, but K-12 classrooms.

While iRobot doesn鈥檛 yet combine the features into one mega-robot, it does offer in which the mop robot and vacuum robot communicate with each other to get things clean. iRobot鈥檚 offerings range from $199 to $1,099, and Trifo鈥檚 Lucy hovers at around $799, according to .

Another startup working on these autonomous critters includes Pal Robotics. Except unlike Trifo, which focuses on home dynamics, has created robots to help with logistics; catering from everything from industrial plants, to hospitals and offices, Its prices are not disclosed on the website.

announcing the funding round, Trifo says that incoming innovation can include personal healthcare management and entertainment services.聽But, for the skeptical among us, no worries, robots can鈥檛 replace humans just yet. They have limits too: Trifo鈥檚 real-time objection detection lets it avoid obstacles, and that means, the company says, .

Illustration:

Subscribe to the SA国际传媒 Daily

After all, there is already a venture-backed robotic coffee shop actually based in San Francisco: Cafe X. The company raised $12 million Series A about a year ago, and has three locations currently across the Financial District – but until now it wasn鈥檛 in the airport.

That is about to change according to Cafe X founder and CEO Henry Hu when the company expands to SFO in November.

Is there enough room for two robot coffee shops in the Bay? More importantly, is there a need? I caught up with both companies to learn about trends within food automation, interesting go-to-market strategies, and the idea of experiential java.

Austin-based Briggo Brings The Brew

Briggo, which started by serving fully autonomous coffee in 2011 at University of Texas, has raised $19 million to date, and is currently raising a Series B, per CEO and co-founder . For the upcoming round, Briggo has already secured one investor: , an early and growth stage venture capital firm based in Austin.

The company opened up a 鈥溾�� in SFO in August to serve 24 hour coffee. This is the company鈥檚 .

While its roots are in Austin, Briggo鈥檚 SFO location serves and , two San Francisco brands.

鈥淸Airports] are a great place for international exposure,鈥� Nater said on the phone to SA国际传媒 News. He added that the company, to increase focus on the airport market, has recently signed large contracts to expand into multiple states across the largest airports in the country.

Briggo鈥檚 Nater said its competitive advantage is the fact that its been on the market longer than most autonomous coffee robots.

鈥淲e flat out have longer experience and more engagement with customers in the Bay than Cafe X,鈥� Nater said. 鈥淭heir purchasing experience is pretty much a mirror of what we were doing already.鈥�

He added: 鈥淎nd they’ve got a wonderful 60 degree access robot that entertains the customer. But yeah, we’re probably a little bit more industrial food driven, and not so much entertainment driven.鈥�

I caught up with Cafe X to learn if 鈥渆ntertaining the customer鈥� has been an effective strategy.

San Fran鈥檚 Cafe X Brings The Fun

This fall Cafe X will be offering an 鈥渆xperiential鈥� coffee shop to airport goers. Since raising its Series A, Cafe X has created three locations, and with that, taken lessons from each Hu said.

Fundamentally, a barista robot might seem focused on speed but now Cafe X is devoting more energy (and resources) to create ambiance.

For the upcoming location, Cafe X wants to be less robot, more old school coffee. Think menu board and backdrops.

鈥淚t’s not just going to be like a lonely robotic coffee bar sitting there against the wall,鈥� Hu said on the phone.

At first the company outsourced a ton of its hardware engineering talent. Now, with 38 people working at the company, Cafe X has moved those processes in-house and it has helped efficiency, said Hu.

鈥淚nstead of using people to do repetitive tasks, like pushing buttons, we think labor should be used to do more productive and more impactful things like educating customers on our ingredients and expanding the menu and doing customer service,鈥� he said.

A Cuppa Innovation

We are, rightfully, not in the business of making predictions about the success of startups. However, after talking to Briggo and Cafe X, I do believe there鈥檚 room for differential innovation within this space. As innovation within coffee enters our lives, it will be interesting to see where automation collides with other parts of our palate.

Illustration Credit:

We’ve covered the dizzying rise of from food delivery unicorn to Vision Fund-backed, niche-defining decacorn.

Subscribe to the SA国际传媒 Daily

All it took was a bathtub of capital. The company’s market share has risen among key groups thanks to its epic fundraising activity. Its consumer market share in the United States has risen to a leading position, . And its recent acquisition of Caviar from will as well.

But it seems that even the company’s sights are a bit higher than merely using humans to deliver an ever-larger amount of food. Instead, DoorDash is snapping up self-driving talent. To what end, and at what cost, is a good question.

Robots, Not Cars

It doesn’t seem that DoorDash is in any danger of building self-driving car tech. What the firm is working on are self-driving robots that can scoot about cities, delivering food at a far lower cost (in theory) than what it costs to pay humans to do the same.

It’s not new work at DoorDash. You can find company notes August 2017 entry, extolling a new robot delivery vehicle that it was excited to announce. The post also noted that the firm had already started “testing robot deliveries on the DoorDash platform.”

Fast forward to this week, and the company appears to be very much still at it. Here’s :

DoorDash has been on an acquisition tear of late, with Scotty Labs as its latest target. […] [The company] is working on technology to enable people to remotely control self-driving cars, raised a $6 million seed round.”

TechCrunch also notes that DoorDash scooped up “the two co-founders from Lvl5,” a firm that works in mapping for self-driving tech. (Data on , and .)

Add the two deals to DoorDash’s history of work in robotics and it’s pretty simple to see that the company is still investing in building delivery robots. Of course, competitors like are working on the same thing.

Indeed, there appears to be a sort of two-prong battle in the world of autonomous wheels. The first deals with self-driving vehicles that can carry several things; cars, trucks, and other wheeled machines that can bring multiple people, or multiple tons of product to where they need to go. And the smaller end of the race, where box-sized robots want to bring small amounts of product to consumers’ places of work and rest.

It’s hard to fault delivery companies for working on their own tech. My read is that every single on-demand company wants to get rid of paying delivery humans as quickly, and completely as possible. This was evident even back when ride-hailing companies first decided to not pay their driving staff like staff. Since then, self-driving machines have been worked on by nearly everyone you can name in the ride-hailing market. Postmates and DoorDash, in the on-demand niche, are similar.

Postmates has filed privately to go public听补苍诲 could reveal a public S-1 this year. If it does, we’ll be curious to see what sort of impact its robot delivery machines make on its R&D spend. Because we know that self-driving tech is expensive.

Ride-Hailing, Self-Driving

Ride-hailing generates no cash, let alone net income. I cannot name a single ride-hailing company of scale that makes money anywhere in the world. The model requires lots of capital until a later date when prices can rise to help companies cover costs. Or until self-driving tech can reduce costs in other ways, allowing delivery platforms to collect more money per delivery for themselves.

Now, read that paragraph again but swap in on-demand deliveries for ride-hailing, and you get a nearly-true set of statements. GrubHub makes money, so the edits don’t hold up, but you can see the point.

On-demand companies feel like they are suffering from a similar problem as ride-hailing companies. To generate lots of demand (revenue, and revenue growth), they need to charge a price point that doesn’t allow them to fully cover their costs. Self-driving tech could help either category, so everyone is investing in the stuff. (More on the issue here.)

But at what cost? We’ve noted that ride-hailing is a bit like fracking in the past, with lots of capital going in but very little coming out in the way of cash or profit. Autonomous work is similar. Indeed, the cost of self-driving tech is staggering. Billions and billions of dollars are being poured into the space, with little so far to show for it in the way of commercial performance.

So can DoorDash get robot deliveries right before Postmates does, or someone else? Or can it get the work done and scaled before its model runs out of fresh cash? We’ll see, but the company certainly is still hard at it.

滨濒濒耻蝉迟谤补迟颈辞苍:听

So far, online ordering and on-demand delivery have allowed us to largely accomplish this goal. Just point, click, and wait. But there鈥檚 one catch: Delivery people. We can never all lie around ordering pizzas if someone still has to deliver them.

Follow SA国际传媒 News on

Enter robots. In tech futurist circles, it鈥檚 pretty commonplace to hear about how some medley of autonomous vehicles and AI-enabled bots will take over doorstep deliveries in the coming years. They鈥檒l bring us takeout, drop off our packages, and displace lots of humans who currently make a living doing these things.

If this vision does become reality, there鈥檚 a strong chance it鈥檒l be largely due to a handful of early-stage startups currently working to roboticize last-mile delivery. Below, we take a look at who they are, what they鈥檙e doing, who鈥檚 backing them, and where they鈥檙e setting up shop.

The Players

SA国际传媒 data unearthed at least eight companies in the robot delivery space with headquarters or operations in North America that have secured seed or early-stage funding in the past couple of years.

They range from heavily funded startups to lean seed-stage operations. Silicon Valley-based , an autonomous delivery startup founded by former engineers at , is the most heavily funded, having raised . Others have raised a few million.

In the chart below, we look at key players, ranked by funding to date, along with their locations and key investors.

Who鈥檚 Your Backer?

While startups may be paving the way for robot delivery, they鈥檙e not doing so alone. One of the ways larger enterprises are keeping a toehold in the space is through backing and partnering with early-stage startups. They鈥檙e joining a long list of prominent seed and venture investors also eagerly eyeing the sector.

The list of larger corporate investors includes Germany鈥檚 Daimler, the lead investor in . China鈥檚 , meanwhile, is backing San Francisco-based , while Toyota AI Ventures has invested in .

As for partnering, takeout food delivery services seem to be the most active users of robot couriers.

Starship, whose bot has been described as a slow-moving, medium-sized cooler on six wheels, is making particularly strong inroads in takeout. The San Francisco- and Estonia-based company, launched by Skype founders Janus Friis and Ahti Heinla, is teaming up with and in parts of California and Washington, DC. It鈥檚 also working with the Domino鈥檚 pizza chain in Germany and the Netherlands.

, another maker of cute, six-wheeled bots, has also been with Postmates in parts of Los Angeles. And , which is branding its boxy bots as 鈥測our friendly neighborhood robot,鈥� teamed up for a trial with Yelp in San Francisco. 聽

San Francisco Bay Area Dominates

While their visions of world domination are necessarily global, the robot delivery talent pool remains rather local.

Six of the eight seed and early-stage startups tracked by SA国际传媒 are based in the San Francisco Bay Area, and the remaining two have some operations in the region.

Why is this? Partly, there鈥檚 a concentration of talent in the area, with key engineering staff coming from larger local companies like Uber, Tesla, and Waymo.聽Plus, of course, there鈥檚 a ready supply of investor capital, which bot startups presumably will need as they scale.

Silicon Valley and San Francisco, known for scarce and astronomically expensive housing, are also geographies in which employers struggle to find people to deliver stuff at prevailing wages to the hordes of tech workers toiling at projects like designing robots to replace them.

That said, the region isn鈥檛 entirely friendly territory for slow-moving sidewalk robots. In San Francisco, already home to absurdly steep streets and sidewalks crowded with humans and discarded scooters, city legislators to ban delivery robots from most places and severely restrict them in areas where permitted.

The Rise Of The Pizza Delivery Robot Manager

But while San Francisco may be wary of a delivery robot invasion, other geographies, including nearby Berkeley, Calif., where startup operates, have been more welcoming.

In the process, they鈥檙e creating an interesting new set of robot overseer jobs that could shed some light on the future of last-mile delivery employment.

For some startups in early trial mode, robot wrangling jobs involve shadowing bots and making sure they carry out their assigned duties without travails.

Remote robot management is also a thing and will likely see the sharpest growth. Starship, for instance, relies on operators in Estonia to track and manage bots as they make their deliveries in faraway countries.

For now, it鈥檚 too early to tell whether monitoring and controlling hordes of delivery bots will provide better pay and working conditions than old-fashioned human delivery jobs.

At least, however, much of it could theoretically be done while lying on the sofa.

Top Image Credit: .

The fears are spreading beyond concern over blue-collar jobs. Now there are greater worries that even white-collar jobs that require additional training and education will be replaced by artificial intelligence and AI-powered robots.

SA国际传媒 News turned to AI expert, CEO and Founder , to get his thoughts on the matter. Austin-based AI startup SparkCognition 颅has raised $56.5 million over the past year and $73.5 million since its inception in 2013. Husain is also the author of In 2016, he was ranked among the by .

On top of that, Husain is also a prolific inventor with 22 awarded and over 40 pending U.S. patent applications to his credit. In 2013, a low-cost computing platform Husain invented was added to the collection of the Computer History Museum in Mountain View.

So what does he have to say about AI鈥檚 impact on jobs?

Well, he鈥檚 realistic.

鈥淚f you take the long view, it鈥檚 really quite likely that most of the jobs that we see around us today will disappear and will be done by machines,鈥� he told SA国际传媒 News. 鈥淥ne hundred plus years ago, half the population was focused on agriculture. And today it鈥檚 less than 2 percent, but yet we鈥檙e feeding five times the number of people. Obviously, there has been a several hundred-fold increase in the productivity there which is another fancy way of saying there鈥檚 much, much fewer jobs. And this will continue.鈥�

Picture by Pasi Salminen, via SparkCognition

Technological innovation has technically been taking jobs from humans for centuries, Husain points out. Humans replicated the human muscle 鈥� first with the steam engine and later with the internal combustion engine 鈥� which in turn gave birth to the Industrial Revolution. As a result, jobs that required the human beings as a provider of that physical force dissipated over time.

鈥淣ow what we鈥檙e doing is replicating the cognitive abilities of human beings,鈥� he said. 鈥淎nd when you think about it, that is what man is 鈥� cognition and muscle. Basically, those are the two big elements. So I think yes when both of these things are replicated, more jobs will be lost, and we are on the path to do that.鈥�

But at the same time, he is not cold about it. For example, while Husain acknowledges the growing use of AI and robotics in the field of healthcare, he acknowledges that machines will never be able to replace 鈥渢he human touch.鈥�

鈥淭here鈥檚 the analysis part of what the doctor does, the diagnosis part, and then there鈥檚 the actual caregiving,鈥� he noted. 鈥淚 think when it comes to caregiving, people are always going to want the human touch.鈥�

Besides agriculture, manufacturing is another big sector that has already been impacted by robots.

鈥淩obots have completely taken over manufacturing,鈥� he said. 鈥淓ven in low-cost manufacturing destinations like China, they find it more cost effective to buy millions of robots in comparison to keeping relatively lower paid workers around on the factory floor.鈥�

The future of AI will involve more narrow intelligence, Husain believes, which is specialized in certain areas and can exceed human capacity in those areas 颅鈥� but isn鈥檛 broadly as capable as a human being.

鈥淭hat鈥檚 where we are now,鈥� he said. 鈥淥ver the long term as the technology is adopted, most of our present jobs will go away.鈥�

To Husain, the question of whether jobs will go away is moot. He believes the real questions are will we have a way to survive economically and will our needs be fulfilled? Furthermore, will we be able to find satisfaction in the pursuit of some labor that is an expression of our higher gifts and of our traits?

鈥淭he answers to all of those [questions] are yes, we can certainly do that, but it requires a societal agreement鈥攁 rewriting of the social contract,鈥� he said. 鈥淲e will have to to rewrite the economic norms that govern how somebody is considered economically valuable in a society, and in an economy.鈥�

So When?

So if AI is replacing jobs, when will that happen?

At the rate at which AI progress is occurring today, there will likely be some fundamental breakthroughs over the next five to 10 years, Husain predicts.聽鈥淭here will probably be other kinds of tasks that we鈥檒l be able to have machines perform which today they can鈥檛,鈥� he said.

Robotics is similarly progressing at a very fast pace.

鈥淩obots can now do backflips. From a mechanical standpoint, that鈥檚 never been possible before,鈥� Husain said. 鈥淲hen you combine all of these innovations, I think the time is about 15-30 years out, when we鈥檒l actually see almost magical machines that an observer today will look at and say, 鈥榃ow, this is all I imagined in science fiction and maybe then some.鈥� So I think that really is the window.鈥�

And according to to Husain, politicians need to focus more on preparing for these things. If they don鈥檛, it could have serious consequences.

鈥淚f we鈥檙e caught unprepared and we enter this era in a way that is unplanned, then I think we will not be immune from the kinds of destabilizations and disruptions that we have so far only seen on TV unfolding in other parts of the world,鈥� he said. 鈥溾�nd unfortunately, when you stress a population, you find that the uglier aspects of human nature start to manifest themselves, and that certainly is not something to look forward to.鈥�

Back To The Numbers

We thought it would be good to get the perspective of a non-AI executive on this controversial topic. So I talked to , chief economist at New York-based to get thoughts from someone outside the industry.

鈥淭echnological unemployment is not anything new,鈥� he said. 鈥淚t鈥檚 been a feature of capitalism over the past 200 years, and there鈥檚 no reason to believe that it鈥檚 likely to stop. In fact, it鈥檚 likely to accelerate.鈥�

For many years, man could not invent the sort of AI or robotics that could conduct routine tasks with regularity and precision.聽鈥淲e are quickly approaching a period where that will occur,鈥� Brusuelas said. 鈥淭hus, there will be some wholesale disruption across different industries.鈥�

However, it seems to Brusuelas that there鈥檚 been too much fanfare 鈥渁bout the imminent end of routine work.鈥澛燞e points to the area of automated vehicles and truck drivers, for example. Truck drivers are the No. 1 employment category for men aged 25-54.

鈥淭he technology is not quite there,鈥� Brusuelas said. 鈥淣ow we should not take solace that it will never be there. Because it will. But policymakers have a chance to think about what the future of work means, and to put in place policy pathways that can facilitate a transition for those that are in work categories more likely to experience significant displacement.鈥�

Today, artificial intelligence goes way beyond the field of home automation and as technologies continue to advance, it鈥檚 likely more jobs will be impacted. But it鈥檚 up to us to determine to what degree, and in what ways this change will occur. Ultimately, it鈥檚 safe to say that planning and preparation are the key to whether artificial intelligence helps, or hurts, our society and economy.

滨濒濒耻蝉迟谤补迟颈辞苍:听