No matter where in the world you log in from—Silicon Valley, London, and beyond—COVID-19 has triggered a mass exodus from traditional office life. Now that the lucky among us have settled into remote work, many are left wondering if this massive, inadvertent work-from-home experiment will change work for good.

In the following charts, we feature data from a comprehensive survey conducted by UK-based startup network Founders Forum, in which hundreds of founders and their teams revealed their experiences of remote work and their plans for a post-pandemic future.

While the future remains a blank page, it’s clear that hundreds of startups have no plans to hit backspace on remote work.

Who’s Talking

Based primarily in the UK, almost half of the survey participants were founders, and nearly a quarter were managers below the C-suite.

Prior to pandemic-related lockdowns, 94% of those surveyed had worked from an external office. Despite their brick-and-mortar setup, more than 90% were able to accomplish the majority of their work remotely.

Gen X and Millennials made up most of the survey contingent, with nearly 80% of respondents with ages between 26-50, and 40% in the 31-40 age bracket.

Founders Forum Remote Work Survey

From improved work-life balance and productivity levels to reduced formal teamwork, these entrepreneurs flagged some bold truths about what’s working and what’s not.

Founders With A Remote Vision

If history has taught us anything, it’s that world events have the potential to cause permanent mass change, like 9/11’s lasting impact on airport security.

Although most survey respondents had plans to be back in the office within six months, those startups are rethinking their remote work policies as a direct result of COVID-19.

How might that play out in a post-pandemic world?

Based on the startup responses, a realistic post-pandemic work scenario could involve 3 to 5 days of remote work a week, with a couple dedicated in-office days for the entire team.

Founders Forum Future of Remote Work Perspectives

Upwards of 92% of respondents said they wanted the option to work from home in some capacity.

It’s important to stay open to learning and experimenting with new ways of working. The current pandemic has only accelerated this process. We’ll see the other side of this crisis, and I’m confident it will be brighter.

— Evgeny Shadchnev, CEO, Makers Academy

Productivity Scales at Home

Working from home hasn’t slowed down these startups—in fact, it may have improved overall productivity in many cases.

More than half of the respondents were more productive from home, and 55%also reported working longer hours.

Founders Forum Remote Work Productivity

Blurred lines, however, raised some concerns.

From chores and rowdy children to extended hours, working from home often makes it difficult to compartmentalize. As a result, employers and employees may have to draw firmer lines between work and home in their remote policies, especially in the long term.

Although the benefits appear to outweigh the concerns, these issues pose important questions about our increasingly remote future.

Teams Reveal Some Intel

To uncover some work-from-home easter eggs (“Better for exercise. MUCH more pleasant environment”), we grouped nearly 400 open-ended questions according to sentiment and revealed some interesting patterns.

From serendipitous encounters and beers with colleagues to more formal teamwork, an overwhelming number of the respondents missed the camaraderie of team interactions.

Founders Forum Remote Entrepreneurs

It was clear startups did not miss the hours spent commuting every day. During the pandemic, those hours have been replaced by family time, work, or other activities like cooking healthy meals and working out.

Remote working has been great for getting us through lockdown—but truly creative work needs the magic of face to face interaction, not endless Zoom calls. Without the serendipity and chemistry of real-world encounters, the world will be a far less creative place.

— Rohan Silva, CEO, Second Home

The Future Looks Remote

This pandemic has delivered a new normal that’s simultaneously challenging and revealing. For now, it looks like a new way of working is being coded into our collective software.

What becomes of the beloved open-office plan in a pandemic-prepped world remains to be seen, but if these startups are any indication, work-life may have changed for good.

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Technology

By the Numbers: Are Tech IPOs Worth the Hype?

Technology IPOs draw massive investor and media attention, sometimes raising billions of dollars. But do tech IPO returns match up with the hype?

Published

1 day ago

on

August 25, 2020

Tech IPOs Shareable

Tech IPOs — Hype vs. Reality

Initial Public Offerings (IPOs) generate massive amounts of attention from investors and media alike, especially for new and fast-rising companies in the technology sector.

On the surface, the attention is warranted. Some of the most well-known tech companies have built their profile by going public, including Facebook by raising $16 billion in 2012.

But when you peel away the hype and examine investor returns from tech IPOs more closely, the reality can leave a lot to be desired.

The Hype in Numbers

When it comes to the IPOs of companies beginning to sell shares on public stock exchanges, tech offerings have become synonymous with billion-dollar launches.

Given the sheer magnitude of IPOs based in the technology sector, it’s easy to understand why. Globally, the technology sector has regularly generated the most IPOs and highest proceeds, as shown in a recent report by Ernst & Young.

In 2019 alone, the world’s public markets saw 263 IPOs in the tech sector with total proceeds of $62.8 billion. That’s far ahead of the second-place healthcare sector, which saw 174 IPOs generate proceeds of $22.5 billion.

The discrepancy is more apparent in the U.S., according to data from Renaissance Capital. In fact, over the last five years, the tech sector has accounted for 23% of total U.S. IPOs and 34% of proceeds generated by U.S. IPOs.

tech-IPOs-Supplemental

The prevalence of tech is even more apparent when examining history’s largest IPOs. Of the 25 largest IPOs in U.S. history, 60% come from the technology and communication services sectors.

That list includes last year’s well-publicized IPOs for Uber ($8.1 billion) and Lyft ($2.3 billion), as well as a direct public offering from Slack ($7.4 billion). Soon the list might include Airbnb, which plans to list within the communication services sector instead of tech.

The Reality in Returns

But the proof, as they say, is in the pudding.

Uber and Lyft were two of 2019’s largest U.S. IPOs, but they also saw some of the poorest returns. Uber fell 33.4% from its IPO price at year end, while Lyft was down 35.7%.

And they were far from isolated incidents. Tech IPOs averaged a return of -4.6% last year, far behind the top sectors of consumer staples (led by Beyond Meat) and healthcare.

Sector Avg. IPO Return (2019)
Consumer Staples 103.0%
Healthcare 35.9%
Financials 30.8%
Materials 30.4%
Consumer Discretionary 14.6%
Industrials 6.1%
Energy -0.4%
Technology -4.6%
Utilities -7.8%
Real Estate -9.4%
Communication Services -66.4%

While last year was the first time tech IPOs have averaged a negative return in four years, analysis of the last 10 years confirms that tech IPOs have underperformed over the last decade.

A decade-long analysis from investment firm Janus Henderson demonstrated that U.S. tech IPOs start underperforming compared to the broad tech sector about 5-6 months after launching.

This dip likely corresponds to the expiry of an IPO’s lock-up period—the time that a company’s pre-IPO investors are able to sell their stock. By cashing in on strong early performance, investors flood the market and bring share prices down.

Interestingly, most gains for these IPOs tend to happen within the first day of trading. The median first-day performance for tech IPOs was a 21% increaseover the offer price. That’s why the median first-year return for a tech IPO, excluding the first day of trading, is -19% when compared with the broader tech sector.

How to Make Money from Tech IPOs

So does that mean that investors should avoid tech IPOs? Not necessarily.

Longer-term analysis from the University of Florida’s Warrington College of Business shows that U.S. tech IPOs offer better returns than other sectors as long as investors get in at the offer price.

U.S. Tech IPO Returns from Offer Price

Sector Avg. Three-Year Return Market-adjusted Return
Tech 77.0% 28.3%
Non-Tech 34.6% -11.4%

Even when adjusting for the broader market performance, tech IPOs have been solid in comparison to the offer price.

The challenge is that if investors are buying stock after that first day market bump, they may have already missed out on meaningful gains:

U.S. Tech IPO Returns from First Closing Price

Sector Avg. Three-Year Return Market-adjusted Return
Tech 46.1% -2.7%
Non-Tech 23.7% -22.2%

So should investors shy away from tech IPOs unless they’re able to get in early?

Generally speaking, the analysis holds that new tech companies perform relatively well, but not better than the broader market once they’ve started trading.

However, in a world of billion-dollar unicorns, there are always exceptions to the rule. The University of Florida study found that tech companies with a base of over $100 million in sales before going public saw a market-adjusted three-year return of 24.4% from the first closing price.

If you can sift through the hype and properly analyze the right tech IPO to support, the reality can be rewarding.

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Technology

AIoT: When Artificial Intelligence Meets the Internet of Things

AI is emerging as a driving technology behind the internet of things (IoT). Learn about the new AIoT, and how it will impact the future.

Published

2 weeks ago

on

August 12, 2020

AIoT: When AI Meets the Internet of Things

The Internet of Things (IoT) is a technology helping us to reimagine daily life, but artificial intelligence (AI) is the real driving force behind the IoT’s full potential.

From its most basic applications of tracking our fitness levels, to its wide-reaching potential across industries and urban planning, the growing partnership between AI and the IoT means that a smarter future could occur sooner than we think.

This infographic by TSMC highlights the breakthrough technologies and trends making that shift possible, and how we’re continuing to push the boundaries.

AI + IoT = Superpowers of Innovation

IoT devices use the internet to communicate, collect, and exchange information about our online activities. Every day, they generate 1 billion GB of data.

By 2025, there’s projected to be 42 billion IoT-connected devices globally. It’s only natural that as these device numbers grow, the swaths of data will too. That’s where AI steps in—lending its learning capabilities to the connectivity of the IoT.

The IoT is empowered by three key emerging technologies:

  • Artificial Intelligence (AI)
    Programmable functions and systems that enable devices to learn, reason, and process information like humans.
  • 5G Networks
    Fifth generation mobile networks with high-speed, near-zero lag for real time data processing.
  • Big Data
    Enormous volumes of data processed from numerous internet-connected sources.

Together, these interconnected devices are transforming the way we interact with our devices at home and at work, creating the AIoT (“Artificial Intelligence of Things”) in the process.

The Major AIoT Segments

So where are AI and the IoT headed together?

There are four major segments in which the AIoT is making an impact: wearables, smart home, smart city, and smart industry:

1. Wearables

Wearable devices such as smartwatches continuously monitor and track user preferences and habits. Not only has this led to impactful applications in the healthtech sector, it also works well for sports and fitness. According to leading tech research firm Gartner, the global wearable device market is estimated to see more than $87 billion in revenue by 2023.

2. Smart Home

Houses that respond to your every request are no longer restricted to science fiction. Smart homes are able to leverage appliances, lighting, electronic devices and more, learning a homeowner’s habits and developing automated “support.”

This seamless access also brings about additional perks of improved energy efficiency. As a result, the smart home market could see a compound annual growth rate (CAGR) of 25% between 2020-2025, to reach $246 billion.

3. Smart City

As more and more people flock from rural to urban areas, cities are evolving into safer, more convenient places to live. Smart city innovations are keeping pace, with investments going towards improving public safety, transport, and energy efficiency.

The practical applications of AI in traffic control are already becoming clear. In New Delhi, home to some of the world’s most traffic-congested roads, an Intelligent Transport Management System (ITMS) is in use to make ‘real time dynamic decisions on traffic flows’.

4. Smart Industry

Last but not least, industries from manufacturing to mining rely on digital transformation to become more efficient and reduce human error.

From real-time data analytics to supply-chain sensors, smart devices help prevent costly errors in industry. In fact, Gartner also estimates that over 80%of enterprise IoT projects will incorporate AI by 2022.

The Untapped Potential of AI & IoT

AIoT innovation is only accelerating, and promises to lead us into a more connected future.

Category Today Tomorrow
Edge computing Smart thermostats
Smart appliances
Home robots
Autonomous vehicles
Voice AI Smart speakers Natural language processing (NLP)
ePayment voice authentication
Vision AI Massive object detection Video analytics on the edge
Super 8K resolution

The AIoT fusion is increasingly becoming more mainstream, as it continues to push the boundaries of data processing and intelligent learning for years to come.

Just like any company that blissfully ignored the Internet at the turn of the century, the ones that dismiss the Internet of Things risk getting left behind.

Jared Newman, Technology Analyst

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