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Well, hi. Hello everyone and thank you for joining.

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Uh I'm Jim Pickett,

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the global clients and markets leader for Deloitte's Global Employer

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Services Practice or as we call it G E S.

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Uh So in G E S, we specialize in the mobility uh of a global workforce.

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Uh We help organizations navigate the complexities of employment and taxation.

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Uh And I'm certainly delighted to be with you today.

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Um So the topic has garnered lots of

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interest from all the registrations that we've seen.

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Uh And I think that's because the way

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we work has completely transformed over the past

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three years uh with hybrid and remote work

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strategies becoming the norm for most organizations.

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Um And this new way of working clearly has several benefits.

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Um It provides greater flexibility in

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includes and inclusivity for employees who now

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have more control than ever over when and where work gets done.

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Uh While also offering the opportunity for

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employers to rethink things like geographic footprint,

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reassess real estate needs,

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cast the net wider in the search for

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talent and possibly even offers uh sustainability advantages.

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Uh In addition, we're seeing return to the office mandates.

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We see this a lot in the press uh right now and these are interesting

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times as companies start to think through strategies

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to balance a culture of colo location,

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working, you know, people working together and the benefits of that.

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But also melding that with the benefits that they've realized through,

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through their employees being able to work remotely.

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So how do they keep up with these changes and and what data is

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available to help them manage and possibly

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solve these tricky and potentially expensive problems,

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you know, like office space, obviously, sustainability team, productivity,

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talent incentivization

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and even retention.

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Not to mention the complex tax and legal compliance challenges that create

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that can be created by a uh a separate and disparate workforce.

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So that to help us,

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we've gathered uh our Deloitte team who specialize

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in helping master hybrid work and we've lined

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up some really tough questions to put their expert status today uh to the test.

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So I'd like to express to take a couple of minutes to introduce them.

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Uh We have Joel Eisenreich. Uh He's a principal in our tax US G S um practice.

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He specializes in global compensation

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uh and benefit matters with a unique focus

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on the cross border tax and regulatory issues.

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We have Steve Hatfield.

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Uh He's Deloitte's future of work leader for Deloitte consulting

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and is a principal in the workforce transformation offering.

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We have Carissa Kilgo.

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Uh She's a principal in workforce transformation

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in human capital uh leading workplace next,

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uh which supports clients in defining and delivering

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solutions aligned to the future of work,

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workforce and the workplace.

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And finally, we have Karen Cunningham as she leads Deloitte's cross industry,

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global and us human capital market for sustainability, climate and equity.

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Uh She advises clients on the organization

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and workforce imperatives to drive meaningful change,

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impact and value.

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Uh So welcome everyone. Thanks for joining me today on the panel.

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Let's start with you first. Uh Steve

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um Future of work is an often used

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phrase when talking about post pandemic work practices.

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And most recently,

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we've seen this tied to media coverage around

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return these return to the office mandates.

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Essentially employers requiring employees spend an amount of

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time working from a defined office location.

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Now,

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this coverage could be interpreted as painting a picture

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of everyone being back in the office and remote

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work being over while others could argue that that

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isn't the case and remote or hybrid continues.

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Uh And those approaches continue and are still

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very much part of the workforce equation.

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What's your, what's your take on this return to workforce debate

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and, and maybe share your perspective on where current,

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why current or currently organizations are focused.

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Yeah. Um

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Jim, it's a good question.

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It, it, it, the headlines continue to be this sort of back and forth around

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the return to office debate. RT O is now actually a thing.

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Um And

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you know, it's interesting because first, as we think about it.

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It's important to recognize that

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for many

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uh there, there is no such thing as a return to office.

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They've long been kind of at their quote unquote workplace somewhere

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in the vicinity of 80% of the global workforce is desk.

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And so what really gets underneath it a bit is this,

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this dimension of well flexibility.

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And what started to grab the headlines recently is

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the promise of flexibility that was offered by some companies.

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They've started in, in 2021

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and 2022 they've started to pull back from some of that.

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And I think what's getting underneath that is this ongoing

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dimension of trying to sort,

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how do we make hybrid and hybrid models work? Do they work?

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And where we were in the past months is the

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majority of the organizations that were exploring these models had landed

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in something that felt like a structured hybrid, something where there was a

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mandated three or two days a week in the office. And,

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and now what started to happen is because of the way in which

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the workforce has said, well, that doesn't quite feel right.

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And that doesn't quite make sense.

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There's an ability for us to continue to do

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really productive work virtually and remotely in a way

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that serves what I need

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as an, as an individual and what I need as a person, a human,

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you know, we, we started to see companies put forward,

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you know, disciplinary,

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um uh calls out, they, they're starting to put forward,

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you know, different

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disciplinary sort of uh responses to those

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that are not being quote unquote compliant,

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which is a new step

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that, which we haven't yet seen,

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I guess in the course of the arc of this conversation,

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what's been interesting is this ongoing

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argument as this conversation about the recession

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has unfolded

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that perhaps

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that the employees have had the upper hand and that as the recession

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um starts to potentially take root, the employers will have the upper hand.

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And, and then, you know, that's also sort of a bit of a myth in reality.

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So if you actually take a look at the facts underneath that, right? Currently

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in the US, we have 10.1 million open jobs and the numbers have consistently been

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in the uh 10 or above million for the past 18 months. The unemployment rate is 3.7%

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in the OECD across those countries. It's about 4%.

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And so

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this hot labor market continues to be very, very strong component of the story.

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It sort of speaks to a need for us to think about

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the skills that we need and the skills mismatch that exists

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and therefore

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the employees continue to have if you will a bit of an upper hand there.

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Secondly,

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as you start to unpack

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what's really happening around who's going back to the office or not.

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Castle Systems has been

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um

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you know,

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tracking if you will the way in which we've had key carting into various offices.

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And it's been hovering in the high forties underneath 50%

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also for the last 18 months.

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And so even with all of the different

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return to office discussions that have happened,

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we'll come back after Labor Day,

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we'll come back after the holidays at Christmas time.

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Um It's not really pierced the 50% mark, maybe only once or twice.

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And so this voting with your feet dimension around

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what exists there is also prevalent.

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And then finally, I think it's really worth pointing out

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that

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in our 2022 and 2023 millennial and gen Z studies

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and in our 2022 and 2023 women at work studies,

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the desire for flexibility,

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the desire for the hybrid model continues to be one of the top reasons why

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those populations choose an employer.

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Of course, they're looking for other things as well. But flexibility in the

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and, and the,

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the promise that it gives them to sort of integrate their home and

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work life continues to be really important for the workforce of the,

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of, of the day.

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And so I think more organizations are needing to recognize

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that they need to take those things into account. This

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idea that

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the recession may actually

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shift the dynamic of who holds the upper hand.

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And it it is going to distract

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employers from putting in place sort of the programs they need to

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think about that will really attract the employees that they're looking for.

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Yeah. That's a really fascinating, um, stat Steve, when you talk about,

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um, the, the, the data showing return to the office has been hovering for a while now,

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around 50%.

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Right. It's almost like

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in some ways employers are stuck being able to move that forward.

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Do you, do you have any perspective on why that is um why they haven't been able to,

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why it got to 50% and stopped there?

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I mean, it's, that's a unique number.

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Yeah, I mean, it, it's interesting,

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I think that that there's this um sort of overarching again, myth that

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the, the current workforce,

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the workers of today isn't interested in being in the office.

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And, and I would take issue with that, like,

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actually we are social animals and we are many

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uh thrive if you will in an office environment,

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collaborating with their, with their fellow colleagues.

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And so Gardner did a study recently where,

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you know, it asked him um the w the, it asked the, the survey respondents.

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So what, why would you come to the office

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and you know, very interesting answers,

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things like um learning opportunities

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or meeting with leadership or collaborating

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with employees or even to some extent like getting away from

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the dynamics at home and having sort of a quieter different place to work.

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And many of those respondents were all in like the high thirties, low 40%.

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But what was also interesting when

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Gartner asked, well,

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why don't you come to the office somewhere in the vicinity of 70% responded with.

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There's no compelling reason.

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And my interpretation of that is that

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the the employers of today have not thought hard enough

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about how do I intentionally create the environment in the office

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that I want to create,

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to create the compelling reason that connects to those reasons

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that I mentioned earlier around collaborating or meeting with

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um colleagues or meeting with leaders or so forth.

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And so I think there's still this real

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opportunity for employers to think more deliberately about

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what it is they want the workplace to

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be and how do they create that environment deliberately

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in a way that offers both the compelling reason to come into

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the office and the flexibility that their workforce is looking for?

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Yeah, that, that makes perfect sense.

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I like the idea of creating a compelling reason,

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but then it also creates the question, you know, what,

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what can organizations uh do

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to address potential performance discrepancies between

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those that may be in the office and remote workers?

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And it's not to suggest that your one is better than the other.

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But how do you, how do you treat performance for,

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for workers in those disparate environments?

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Well, I think that there's this uh presenteeism and you know, being uh and,

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and showing up dimension that we need to caution around because the,

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you know, again, many organizations have long been,

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you know, rather distributed, multi location, multinational.

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And we got accustomed in pre pandemic times to working in

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ways where there could be a group in a conference

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room and many people on a poly con and,

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and we found through the course of the pandemic,

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the benefit of using these collaboration tools differently, sort of the

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um

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you know, the equity that's created through many tiles on the screen,

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as opposed to that difference of those who's in,

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who's in the office and who's on the phone.

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And,

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and so

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the the real issue I think becomes one of

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how do organizations focus more on the outcomes?

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How do they focus on the output? How do they focus on

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the quality of what's delivered and produced as opposed

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to metrics that have to do more with,

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if you will hours worked or days in office or activities performed.

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And,

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you know, inherent in all of that is a dimension of

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the trust that you build with your employees around

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letting them sort of dictate

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that they can put their best foot forward in a particular way,

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working in the way that they work, best,

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working in the way that their teams work best.

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Now, of course,

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this puts a little bit of effort around

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project teams needing to sort of articulate together how

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and what that means as far as

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the work itself.

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But let the team and the work kind of dictate the, the model would be my advice.

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Yeah, that, that makes sense.

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Well, maybe just before we pivot to Joel, one final question, I think for you, Steve,

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um the, the skills that talent

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have and require working in a remote

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remote location or hybrid.

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Uh Does that mean employers have a

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different criteria for the talent they're searching?

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Do they need to have a broader spectrum of skills that they're

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looking for when they're looking to bring talent into an organization?

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I think that what, what,

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what we're experiencing in the market because of this hot labor market is the um

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definite gap in the skills that organizations are trying to find

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and need and sort of a mismatch if you will.

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Um I think that,

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that it, it sort of has started this discussion with organizations to look at

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more than pedigree and trying to find the talent they need, like looking past

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sort of um

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sort of their college degrees or looking

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past their educational degrees and looking more

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at what experiences that they have that they can bring to the table,

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getting to know the whole sort of worker as a human

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and the potential that they have. And I think within that

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there's this emerging benefit around those that

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are more comfortable if you will using these

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digital tool kits and those that are more comfortable working in a hybrid model.

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And then that leads to some really interesting

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outcomes as far as flexible work models,

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different workers coming to the table in a broad ecosystem.

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Now, we start thinking about,

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you know,

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contingents and part-time and vendors and gig workers

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and all sorts of things of that sort.

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But it's clear that those that are who are,

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who are facile in working in a virtual model are um you know, desirable in the,

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in the current work environment.

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Brilliant. Thanks Steve.

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So Joel, we've, we've talked for a few minutes now about, you know,

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how uh remote working is important and how companies are balancing that

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with the in-person mandates uh and how that will continue to evolve.

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But I don't think we can really talk for too long before we

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start talking about some of the tax regulatory and other impacts that are,

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are super important for, for organizations to consider it.

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Um And I think it's becoming increasingly important for organizations to know

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where their employees are particularly for these tax and regulatory reasons.

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And we've seen companies wrestling with this balancing this desire or perhaps the

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need to be compliant with the complexity of how you actually track where your

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employees are uh with one eye on the global tax authorities who know

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employees are working remotely and are interested

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in perhaps pursuing that extra tax.

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So it's it sort of raises several important questions.

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Um So my first question for you, Joel is in this continuing hybrid work area era.

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Um I think it would be helpful to remind everyone what those risks are that,

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that an organization

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should be concerned about, with, with, with respect to the authorities.

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And when we talk about leveraging technology

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to monitor where employees are working from,

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how does that technology actually help mitigate the

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risks um that these companies are concerned about

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good questions there, Jim.

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Um So kind of taking it a bit beyond a bit beyond the discussion around

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town and focusing a bit more on the in the tax and regulatory space.

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Um So we had done, we had done a survey late

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in 2022

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and

15:49.450 --> 15:52.229
one of the top challenges that companies were

15:52.239 --> 15:55.179
facing in this space across every industry,

15:55.190 --> 15:58.989
across every ge geography was really around how to

15:59.000 --> 16:02.340
manage some of these tax and regulatory issues.

16:02.669 --> 16:06.140
Um And, and it really comes down to this, Jim, it's, it's, it's really about,

16:06.150 --> 16:06.320
you know,

16:06.330 --> 16:09.640
to the extent you no longer have employees working in

16:09.650 --> 16:13.020
the physical office um but are working in disparate locations.

16:13.030 --> 16:16.239
Um Oftentimes around the globe, um you know,

16:16.250 --> 16:19.679
that gives rise to a number of different tax and regulatory challenges.

16:19.690 --> 16:21.369
So, for example, um you know,

16:21.380 --> 16:24.109
to the extent you have employees working in new jurisdictions,

16:24.140 --> 16:26.530
uh there are new payroll registration requirements

16:26.539 --> 16:28.280
that the employer needs to comply with.

16:28.539 --> 16:30.520
Um to the extent you've got, you know,

16:30.530 --> 16:33.830
employees working in different domestic states.

16:33.900 --> 16:37.429
Uh Does that give rise to, you know, corporate nexus issues?

16:37.440 --> 16:39.679
You now have a connection with the new jurisdiction and

16:39.690 --> 16:42.169
you might need to pay corporate tax in that jurisdiction.

16:42.429 --> 16:44.859
Um And the same globally, right? So you've got

16:44.960 --> 16:48.020
um I I employees working um in different

16:48.030 --> 16:51.109
countries and that can create permanent establishment issues.

16:51.140 --> 16:55.349
But then getting beyond tax, the issues, get a can even get a bit thornier.

16:55.520 --> 16:58.789
Um You know, you're dealing with issues like immigration issues.

16:58.799 --> 17:01.500
Um Does the employee have the right to work in that jurisdiction?

17:01.820 --> 17:03.909
Um What are some of the regulatory issues?

17:03.919 --> 17:08.500
So, for example, there are certain labor rights issues in certain countries,

17:08.530 --> 17:12.290
um certain certain labor laws in different states and,

17:12.300 --> 17:16.449
and it becomes really complex when you start thinking about, um, you know,

17:16.459 --> 17:19.280
hybrid work, remote work, remote hires,

17:19.290 --> 17:21.780
you've got employees working in different locations.

17:21.810 --> 17:25.410
Um, you know, it becomes really complex to kind of pull this all together.

17:25.689 --> 17:29.270
Um The other thing that's become really interesting over the last um

17:29.469 --> 17:32.300
uh you know, I would say 6 to 12 months has been

17:32.540 --> 17:34.579
the uptick we've seen in business travel.

17:34.609 --> 17:36.540
So for the last few years,

17:36.550 --> 17:41.189
the issues that we've dealt with really kind of focused in the remote workspace.

17:41.229 --> 17:44.189
Um But now we've seen, you know, business travel,

17:44.199 --> 17:46.729
starting to resume pre-covid levels.

17:46.760 --> 17:50.989
And so tracking this workforce that's traveling for business and

17:51.000 --> 17:54.969
at the same time working remotely in different jurisdictions,

17:54.979 --> 17:58.050
um can create significant tax challenges.

17:58.670 --> 17:59.560
Yeah, that's brilliant, John,

17:59.569 --> 18:05.790
I wonder if you could just um how a few bars are where we sort of see authorities are.

18:05.800 --> 18:06.920
Um tax authorities,

18:06.930 --> 18:10.650
immigration authorities are right now with respect to focusing

18:10.660 --> 18:12.819
on the issues created by remote and hybrid work.

18:13.630 --> 18:15.199
So we're in an interesting spot.

18:15.209 --> 18:18.099
So, you know, keep in mind that, that, you know, we're coming off of,

18:18.109 --> 18:19.810
we're coming off of, you know, the,

18:19.819 --> 18:23.199
the COVID years where there was a significant amount of COVID relief.

18:23.209 --> 18:25.310
So go back to 2021.

18:25.479 --> 18:28.130
Um There wasn't a strong focus on this because of

18:28.140 --> 18:30.439
all the emergency COVID measures that were out there.

18:30.449 --> 18:32.380
So authorities were not focused on this.

18:32.890 --> 18:39.500
Um fast forwarding, um you know, to, to, to 22 most of that relief has expired.

18:39.619 --> 18:43.839
Um but the filing seasons are typically tend to lag.

18:43.849 --> 18:46.839
And so we're just getting in from a tax perspective,

18:46.849 --> 18:50.589
we're just getting into the 2022 tax season right now.

18:50.760 --> 18:54.390
And so we haven't seen a lot of enforcement in this space.

18:54.420 --> 18:58.984
Um We have seen a lot of discussion um amongst the tax authorities in terms

18:58.994 --> 19:03.285
of how they're going to deal with this in terms of hiring um additional,

19:03.295 --> 19:06.964
additional, um you know, auditors um at the global level,

19:06.974 --> 19:10.114
we've seen the OECD starting to tackle

19:10.125 --> 19:12.464
some of these issues and creating workforces,

19:12.474 --> 19:16.194
uh you know, creating work streams um to, to, to,

19:16.204 --> 19:19.805
to start thinking about the types of guidance they can issue,

19:19.905 --> 19:22.385
but we haven't yet seen a ton of enforcement,

19:22.989 --> 19:23.900
understood.

19:24.040 --> 19:28.209
So then, you know, organizations, companies know that the the risk is still there,

19:28.219 --> 19:30.099
authorities may still come knocking.

19:30.319 --> 19:33.400
Um And they have a potentially disparate workforce.

19:33.410 --> 19:35.739
Um Maybe some are mandated to come back to the office,

19:35.750 --> 19:39.689
maybe they have some element of knowing where some of their employees are,

19:39.959 --> 19:45.000
how are, how are organizations using technology to sort of solve for this issue?

19:45.229 --> 19:48.420
Um And what are some of the challenges that those organizations are having?

19:49.400 --> 19:52.030
So, so they're using technology in a couple of ways.

19:52.040 --> 19:54.479
I think, I think in the most basic way,

19:54.489 --> 19:58.329
using technology to simply identify employee locations,

19:58.339 --> 20:01.130
so understand where employees are actually working.

20:01.410 --> 20:04.050
Um And they're doing this in, in, in one or two ways.

20:04.060 --> 20:08.239
Um They're doing this by, you know, actively distributing surveys,

20:08.250 --> 20:12.030
um where employees can respond on a regular basis in terms of where they're at.

20:12.170 --> 20:15.359
Um But some companies are taking it a bit further.

20:15.369 --> 20:18.819
Um You know, obviously there are digital bread crumbs out there,

20:18.829 --> 20:21.479
things like VPN S badge swipes.

20:21.489 --> 20:25.864
Um This information is out there in terms of where employees are logging in.

20:25.984 --> 20:29.915
And so, you know, companies are taking the step to start, you know,

20:29.925 --> 20:32.755
being transparent with their employees that there's a need for them to

20:32.765 --> 20:35.944
use this information and how they're going to use this information.

20:36.094 --> 20:41.234
Um But starting to take steps to use technology to identify where employees are.

20:41.244 --> 20:43.935
So I'd say that's the first area employee identi

20:44.045 --> 20:46.015
identifying the location

20:46.209 --> 20:50.859
Um next is, is helping employers make these assessments because, you know,

20:50.869 --> 20:54.800
not all remote work assignments create the same level of risk.

20:54.900 --> 21:00.300
You know, sometimes some jurisdictions can create more risk than another. And so

21:00.439 --> 21:04.910
having technology that can help a company make an assessment as

21:04.920 --> 21:08.579
to whether a particular remote work assignment or hybrid work assignment

21:08.776 --> 21:12.187
creates a level of risk that's unacceptable for the company.

21:12.217 --> 21:14.927
Is another way that companies are using technology.

21:14.937 --> 21:19.036
There's technology available that has all this information that can easily

21:19.046 --> 21:23.906
cycle through an approval or decline result for for a company.

21:23.916 --> 21:25.737
And in fairly short order,

21:25.837 --> 21:29.886
um the third way in which they're using technology is really around.

21:29.896 --> 21:31.227
OK. So once they have this

21:31.343 --> 21:33.553
information, in terms of where employees are working,

21:33.764 --> 21:38.034
how are they taking this information and feeding it across the organization

21:38.293 --> 21:40.154
to all the appropriate stakeholders?

21:40.303 --> 21:43.234
We talked about the fact that payroll needs this information in

21:43.244 --> 21:47.484
order to do proper withholding corporate tax needs this information,

21:47.494 --> 21:50.614
but then start to think about beyond tax,

21:50.624 --> 21:53.404
think about say the finance organization and, and

21:53.803 --> 21:55.441
a gonna touch on this shortly.

21:55.451 --> 22:00.331
Um But start thinking about finance needs to understand where people are working so

22:00.340 --> 22:02.041
that they can better inform their real

22:02.051 --> 22:05.191
estate footprint um from a sustainability standpoint,

22:05.651 --> 22:09.061
you know, where are people working companies have sustainability goals?

22:09.071 --> 22:10.620
How does the remote work?

22:10.630 --> 22:14.411
Um how does that measurement to some of the goals um that, that,

22:14.421 --> 22:16.281
that companies have set out for themselves.

22:16.920 --> 22:18.150
Brilliant, thanks Joel.

22:18.160 --> 22:20.089
So that's, that's a great, great segue,

22:20.099 --> 22:24.079
I think to bring Carissa and Karen into this conversation because I think, you know,

22:24.089 --> 22:26.819
we tend to think of data and where employees are

22:26.829 --> 22:30.250
quite often historically focused on the tax and regulatory,

22:30.260 --> 22:31.650
but I'm very interested.

22:31.660 --> 22:33.199
Perhaps start with you, Carissa.

22:33.209 --> 22:36.920
How do you see clients using this data from a uh from a,

22:36.930 --> 22:40.689
from a real estate and then uh perhaps Karen from a sustainability perspective.

22:41.280 --> 22:42.290
Yeah, absolutely.

22:42.300 --> 22:42.469
I mean,

22:42.479 --> 22:44.800
there are so many use cases and business

22:44.810 --> 22:47.270
cases for an organization to collect this data,

22:47.390 --> 22:50.040
the workplace landscape and the workforce landscape

22:50.050 --> 22:52.209
are continuing to shift and change.

22:52.219 --> 22:53.589
We're not in a steady state.

22:53.849 --> 22:55.319
So put simply

22:55.680 --> 22:58.849
understanding where when and how the workforce is working is the

22:58.859 --> 23:02.770
missing ingredient to optimizing a real estate and workplace strategy.

23:02.780 --> 23:06.069
The richness this data can be so rich to inform

23:06.329 --> 23:09.540
decisions about how much space you need, where you need it,

23:09.550 --> 23:11.250
how you're going to operate it.

23:11.260 --> 23:13.869
And what are the digital workplace tools that you

23:13.880 --> 23:16.699
need to provide to make that work physical,

23:16.709 --> 23:19.930
digital workplace uh experience seamless.

23:20.349 --> 23:23.280
And this really is not a one and done exercise.

23:23.290 --> 23:24.619
You don't collect the data once,

23:24.630 --> 23:27.020
make a decision and then move on because

23:27.030 --> 23:29.119
as we see this landscape continuing to shift,

23:29.130 --> 23:31.900
as Steve noted the kind of the pendulum

23:31.910 --> 23:34.770
swinging back and forth about where people work,

23:34.780 --> 23:38.719
what the mandate is, you know, organizations need to be looking at this data

23:39.300 --> 23:41.680
as part of their business as usual analysis.

23:41.689 --> 23:43.750
So they can continue to iterate and re

23:43.760 --> 23:46.300
respond with a workplace strategy that's fit for

23:46.310 --> 23:49.910
purpose for their workforce to be enabled and

23:49.920 --> 23:51.750
they can optimize their cost base around.

23:51.930 --> 23:52.000
Real

23:53.500 --> 23:54.069
great.

23:54.500 --> 23:55.510
Any thoughts Karen?

23:58.180 --> 23:58.369
Yeah.

23:58.380 --> 23:59.589
From a data angle,

23:59.599 --> 24:03.270
it it's interesting there's no standard for companies right now on,

24:03.280 --> 24:05.410
on how to actually calculate a report

24:05.689 --> 24:06.369
um

24:06.569 --> 24:10.229
on, you know, emissions, which obviously I think is tied to

24:10.349 --> 24:12.020
where where people are working.

24:12.099 --> 24:15.359
Um Most people are are not kind of including um

24:15.369 --> 24:19.489
remote worker emissions in the reports and long-term goals.

24:19.750 --> 24:22.770
So, you know, I think right now,

24:23.079 --> 24:27.400
I think there's some stat like 13,000 companies report on environmental data

24:27.750 --> 24:33.780
and only 200 actually include their employee uh emissions in that in that data.

24:33.790 --> 24:36.170
So from a sustainability perspective, you know, it's

24:36.400 --> 24:39.479
um clearly tied to mobility and,

24:39.489 --> 24:41.939
and real estate and in this hybrid work environment,

24:42.180 --> 24:43.280
but there are

24:43.640 --> 24:47.170
ways that companies can track emissions of,

24:47.180 --> 24:53.189
of their employees and kind of use that data um to help from a sustainability ankle.

24:54.219 --> 24:55.109
Yeah, that's awesome.

24:55.119 --> 24:59.050
So we've got this data, we're able to use it at, at multiple different levels.

24:59.099 --> 25:02.939
Carrissa, let's let's dive in a little bit deeper here um with,

25:02.949 --> 25:06.150
with respect to the hybrid working models becoming more common.

25:06.160 --> 25:06.569
You know,

25:06.619 --> 25:09.349
there's no doubt the perspective on the use of

25:09.359 --> 25:12.680
physical space and how employers use it has shifted

25:12.869 --> 25:15.760
and we're seeing organizations are thinking about their teams and

25:15.770 --> 25:18.380
where they're based and how they're spread out locally,

25:18.390 --> 25:19.569
nationally, globally.

25:19.869 --> 25:24.459
Uh How, how, how are organizations, you know, office space being used?

25:24.469 --> 25:27.199
And does that real estate strategy require a rethink?

25:27.209 --> 25:30.000
You know, how is all of this changing the way, you know,

25:30.010 --> 25:32.719
our organizations use the space that they have?

25:32.729 --> 25:35.130
Perhaps you can unpack some of those trends for its career. So

25:35.949 --> 25:38.280
yeah, I think, I think it's fascinating from

25:38.439 --> 25:38.449
a

25:38.890 --> 25:42.550
from a global kind of experience of knowledge workers.

25:42.560 --> 25:45.199
The topic of hybrid work is now commonplace, right?

25:45.209 --> 25:46.459
It's on the tip of everyone's tongue.

25:46.469 --> 25:49.910
It's on the front page of every newspaper on a regular basis.

25:50.130 --> 25:52.280
But forward thinking business leaders,

25:52.290 --> 25:53.949
they've been on a concerted journey to

25:53.959 --> 25:57.420
increase workplace flexibility for m beyond,

25:57.430 --> 25:58.979
beyond the last decade.

25:59.250 --> 26:02.260
And there were a couple of things that opened the

26:02.270 --> 26:04.979
the door for these business leaders to do that.

26:04.989 --> 26:08.579
One is as personal technology such as smartphones

26:08.930 --> 26:13.180
became ubiquitous with, with the global population and the workforce.

26:13.189 --> 26:14.900
It untethered people from desks.

26:14.910 --> 26:18.449
You no longer needed to go to an office to log into a phone to get work done

26:18.810 --> 26:20.979
coupled with cloud technology,

26:21.209 --> 26:23.500
it enabled on the go collaboration.

26:23.510 --> 26:27.619
And so beyond needing to log into a desk to get connected to work,

26:27.630 --> 26:30.640
you could now work asynchronously with your colleagues

26:30.810 --> 26:32.290
in a really seamless way.

26:32.689 --> 26:33.099
And

26:33.660 --> 26:35.560
the third thing that I saw really

26:35.770 --> 26:41.339
impact business leaders adjustment to flexible working before the pandemic.

26:41.359 --> 26:44.680
Was this new generations of workers coming in and being much more

26:44.689 --> 26:48.790
vocal about their priorities and expectations about a work life balance.

26:49.140 --> 26:53.609
Now, what that means from a physical workplace perspective is it's triggered

26:53.750 --> 26:56.930
an idea and a model around activity based working.

26:56.939 --> 26:59.550
How do we design the office with

26:59.560 --> 27:02.510
different spaces to accommodate different activities?

27:02.810 --> 27:04.949
So things like um

27:05.074 --> 27:09.564
libraries for quiet, independent deep thinking work or interactive,

27:09.574 --> 27:13.704
collaborative spaces for ideation and problem solving

27:13.805 --> 27:17.234
and as hybrid as hybrid work becomes more structured as

27:17.244 --> 27:20.964
Steve mentioned with specific people coming in on specific days,

27:21.224 --> 27:21.405
you know,

27:21.415 --> 27:23.694
we're working with our clients to clearly define

27:23.704 --> 27:25.464
what the purpose of their offices are.

27:25.474 --> 27:28.854
Make those those journeys to the office deliberate

27:29.094 --> 27:29.724
so that

27:30.084 --> 27:34.145
when people, when work requires people to come together physically,

27:34.540 --> 27:37.140
you can design an office to accommodate the things they're

27:37.150 --> 27:39.030
going to be doing and it can be intentional.

27:40.000 --> 27:40.489
And this,

27:40.500 --> 27:43.930
this change in the workplace demand is I think causing a fundamental

27:43.939 --> 27:47.660
rethink for business leaders around how much what their workplace strategy is,

27:47.729 --> 27:50.130
how much space do they need, how do they lease it

27:50.530 --> 27:52.310
and how do their teams work when they're in it?

27:53.069 --> 27:53.280
Yeah,

27:53.839 --> 27:55.910
that, that, that makes sense. Um

27:56.020 --> 28:00.770
And of course, we we've had AAA deep conversation today so far around technology.

28:00.780 --> 28:02.250
So I'm curious,

28:02.319 --> 28:05.390
you know how organizations optimize their real real

28:05.400 --> 28:08.630
estate footprint um using insights from technology.

28:08.640 --> 28:11.650
And I've heard this sort of smart building technology term used,

28:11.660 --> 28:14.229
maybe you could tell us a little bit about how that works.

28:14.239 --> 28:15.010
Yeah, I mean,

28:15.020 --> 28:17.290
for anybody that's really familiar with the real estate

28:17.300 --> 28:20.369
industry will understand that in the built environment,

28:20.380 --> 28:23.670
integrating new technology into buildings is an enormous task.

28:24.010 --> 28:24.699
And so,

28:25.130 --> 28:29.599
you know, it's a very difficult complex, it has a broad ecosystem of players,

28:29.609 --> 28:34.739
it's taking a bit of time to, you know, allow buildings to become smart if you will,

28:35.310 --> 28:35.699
but

28:35.890 --> 28:37.290
occupiers of buildings.

28:37.300 --> 28:41.699
So businesses that are taking leases on these spaces of the operators of buildings,

28:41.709 --> 28:44.989
the facilities management companies have been really

28:45.170 --> 28:48.680
focused on how to extract data and insight about

28:48.689 --> 28:50.400
how spaces are being used for many years.

28:50.410 --> 28:53.359
And historically, it's been, you know, largely a manual exercise,

28:53.709 --> 28:55.780
whether it was mapping employees,

28:55.869 --> 28:58.729
the home locations and customer and client locations to

28:58.739 --> 29:01.699
determine what the best spot for an office is,

29:01.709 --> 29:06.699
either for transport, um commutiv or brand presence or, you know,

29:06.709 --> 29:09.209
people that worked in an office before the pandemic may

29:09.219 --> 29:11.890
have seen somebody walking around with a clipboard ticking.

29:11.900 --> 29:14.560
You know, is there someone in the seat, are there signs of life?

29:14.569 --> 29:16.319
Is it completely vacant? That's how,

29:16.579 --> 29:20.449
that's how building data has been collected in the past.

29:20.459 --> 29:22.890
But as we move to this intentional and deliberate space,

29:22.900 --> 29:26.010
we need to start using things like in buildings, in

29:26.239 --> 29:30.239
building sensors to understand where you have hotspots within

29:30.250 --> 29:34.540
a building understanding where your workforce is commuting from to

29:34.550 --> 29:36.260
understand how long the it takes them to get

29:36.270 --> 29:39.260
to the office to optimize that experience for them,

29:39.270 --> 29:41.420
giving them smart building controls,

29:41.430 --> 29:43.560
like lighting and temperature so they can

29:43.569 --> 29:45.989
create the environment that's best suited for,

29:46.000 --> 29:48.609
for what they're doing and and their personal needs.

29:48.619 --> 29:52.260
So smart building technology is really starting to become

29:52.430 --> 29:54.160
the norm in

29:54.770 --> 29:58.109
very um kind of prime buildings.

29:58.510 --> 30:02.199
And it's giving organizations a really rich set of data about

30:02.209 --> 30:05.979
who's using which space for how long and in what capacity?

30:06.660 --> 30:11.040
Ok, fascinating. And so how can understanding worker whereabouts?

30:11.050 --> 30:11.949
We talked a little about this,

30:11.959 --> 30:15.750
the data and we know about it this importance from a tax and regulatory perspective.

30:15.760 --> 30:18.699
But how can understanding worker whereabouts and

30:18.810 --> 30:22.880
their patterns of space usage in in the real estate world contribute

30:22.890 --> 30:26.010
to the decisions organizations are making about the real estate footprint.

30:26.680 --> 30:27.729
Yeah, I mean, Steve.

30:27.739 --> 30:30.869
Steve talked about the Castle data systems and

30:30.880 --> 30:34.290
what it's showing about the average in office occupancy

30:34.959 --> 30:37.569
to put a little bit of context around this real estate

30:37.579 --> 30:40.869
is one of the top three costs for most organizations.

30:41.010 --> 30:41.369
It

30:41.680 --> 30:44.349
it ranges between 8 to 12% of

30:45.160 --> 30:48.270
and in western countries, the typical lease length is going to be, you know,

30:48.280 --> 30:51.300
on average 10 years, maybe, maybe even longer.

30:51.630 --> 30:56.290
So this represents a significant cost commitment for businesses

30:56.439 --> 30:59.930
and yet we only are hitting, you know, 50% occupancy

31:00.260 --> 31:04.650
at, you know, at peak over the last 18 months prior to the pandemic,

31:05.160 --> 31:05.540
you know,

31:06.010 --> 31:11.359
best case, I would say we were seeing in, in the US 65 75%

31:11.459 --> 31:16.069
occupancy. So organizations were already carrying an extra level of cost

31:16.369 --> 31:19.089
and they are looking at how they can shed,

31:19.369 --> 31:23.869
shed excess space. And as we move into this structured hybrid

31:24.510 --> 31:25.540
world,

31:25.640 --> 31:29.969
there is a lot more opportunity on the table to be deliberate in

31:29.979 --> 31:32.920
those decisions about how much space you need and where you need it.

31:33.040 --> 31:35.729
So understanding who's coming

31:36.079 --> 31:38.900
and how they're using the space where

31:38.910 --> 31:41.260
they're working within and outside of an office

31:41.270 --> 31:44.400
allows an organization to right size what

31:44.410 --> 31:46.810
spaces they have and what they're providing.

31:46.900 --> 31:50.300
And one trend we're seeing occur is that

31:50.829 --> 31:53.040
organizations are starting to

31:53.270 --> 31:55.719
create kind of a hub and spoke model where

31:55.729 --> 31:59.689
they have maybe a primary location in a city center

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and deliberately bring people together for certain types of activities,

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whether it's town halls or other networking and learning activities and

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then creating kind of a spoke satellite system of offices or

32:14.189 --> 32:17.300
or spaces where their teams can go

32:17.449 --> 32:20.949
that are nearer to their homes in maybe more suburban or rural

32:20.959 --> 32:24.849
locations that allow them access to a space that's fit for purpose,

32:24.859 --> 32:26.339
connection to colleagues.

32:26.650 --> 32:32.290
But understanding where workers are can inform what that footprint of the real

32:32.300 --> 32:36.640
estate needs to be and really inform how much of it organizations need.

32:37.650 --> 32:39.719
Yeah. Yeah, thanks. Uh Thanks Chris.

32:39.729 --> 32:41.750
Actually, I find it fascinating because in, in,

32:41.760 --> 32:44.150
in the office that I'm tied to Tuesdays,

32:44.160 --> 32:47.560
Wednesdays and Thursdays it feels like it's 100% occupancy,

32:47.569 --> 32:49.760
maybe even 100 and 10% occupancy.

32:49.969 --> 32:53.709
So I guess it's all about occupancy over a, over a period of time, not just, er,

32:53.719 --> 32:55.510
when Jim needs to be in the office.

32:55.640 --> 32:56.099
So, let's

32:57.170 --> 32:58.109
sorry. Sorry.

32:58.349 --> 32:58.880
Um, let's,

32:58.890 --> 33:03.099
let's pivot slightly and talk about sustainability in relation to real estate.

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So, so Karen,

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let's bring you into the conversation with commuting less working from home.

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So, is it more energy efficient?

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Well, and you'd,

33:12.234 --> 33:15.755
you'd think that clearly the reduction in emissions even just

33:15.765 --> 33:19.185
from commuting alone would result in a net energy savings.

33:19.194 --> 33:19.545
But

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um it's not that black and white with hybrid work and that

33:23.084 --> 33:26.425
really has to do with that math of emissions due to commuting

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versus emissions while working from home.

33:29.550 --> 33:34.000
So working from home normally reduces net energy demand for

33:34.010 --> 33:37.439
a household that commutes by car except in several cases.

33:37.449 --> 33:40.890
So commute commuters that are taking public transport, typically,

33:41.089 --> 33:43.719
it's likely to actually increase their net energy demand,

33:43.969 --> 33:46.829
their emissions from commuting, you know,

33:46.839 --> 33:49.300
via communal transport is actually pretty low.

33:49.400 --> 33:51.500
Um versus what they're emitting at home,

33:51.660 --> 33:54.410
there are some seasonal differences there or those

33:54.420 --> 33:56.260
who are traveling by car less than four

33:56.270 --> 33:58.689
miles to work and their home could actually

33:58.699 --> 34:01.020
increase their total emissions by working from home.

34:01.560 --> 34:03.329
We found, you know,

34:03.339 --> 34:07.579
there are kind of lots of of studies around this right now in pre pandemic,

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a typical business uni user was really creating about £300 of carbon emissions,

34:13.978 --> 34:17.840
working on computers and sending emails and post pandemic.

34:17.969 --> 34:19.918
Our tech footprint is actually increased,

34:19.929 --> 34:22.300
there are fewer in person office interactions.

34:22.310 --> 34:23.830
That means there are more online

34:24.020 --> 34:25.340
uh emissions.

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The average home electricity consumption has risen more than 20% on weekdays.

34:30.570 --> 34:33.760
And so something else to consider is this picture of this. So they're, you know,

34:33.929 --> 34:38.270
in a company of 5000 people, we have 5000 people working from home.

34:38.280 --> 34:40.989
Um And they can end up actually using more energy than they would in

34:41.000 --> 34:43.739
the office is given that many businesses

34:43.750 --> 34:46.510
actually have those rotating days in office.

34:46.540 --> 34:50.949
And that means that they're maintaining that office energy demand full time

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while those who are working from home are also consuming energy.

34:54.399 --> 34:57.620
So no efficiencies of serving the masses there.

34:57.629 --> 35:00.110
So we really need to look at the whole picture.

35:00.120 --> 35:02.669
Um In some cases, we're really doubling our energy use.

35:03.320 --> 35:08.540
Yeah, that's a fascinating comment like potentially doubling our, our impact,

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which is, which is crazy.

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So how can organizations leverage the data that we have on remote work

35:14.280 --> 35:16.429
patterns to measure their impacts on

35:16.439 --> 35:19.239
sustainability and meet their sustainability goals?

35:19.729 --> 35:23.219
Yeah, I mean, and, and I mentioned before there's no standard here.

35:23.229 --> 35:27.179
Um but companies can track employee emissions in several ways.

35:27.189 --> 35:31.580
You can collect their remote work patterns like their energy consumption,

35:31.590 --> 35:34.929
commuting distance paper usage, you know, understand that.

35:35.100 --> 35:39.120
Um but you can also do things like making calculations based on

35:39.719 --> 35:44.610
employee location and and kind of average energy consumption in that area.

35:44.820 --> 35:47.709
Uh Some organizations are conducting surveys to determine

35:47.719 --> 35:50.750
actual employee energy use at their homes by doing

35:50.760 --> 35:53.449
an audit of which electronics each employee uses

35:53.459 --> 35:55.520
and estimating some of the power draw there.

35:55.969 --> 35:59.610
What's important there is also kind of where they purchase their power.

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Is it a renewable source? For example,

36:01.719 --> 36:03.129
um in these audits,

36:03.429 --> 36:08.010
organizations often kind of need to think about the impact of video conferencing

36:08.020 --> 36:10.750
and data transfers and this is something that not everybody thinks about.

36:10.760 --> 36:15.010
So every email um emits a carbon footprint.

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Um Carbon literacy is an organization that kind of

36:17.620 --> 36:19.729
estimates this and they estimate for every email.

36:19.840 --> 36:26.750
It is actually emitting somewhere between 0.03 g and 26 g of carbon.

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Um So, you know, being able to kind of calculate that is,

36:30.010 --> 36:32.270
is interesting and important.

36:32.280 --> 36:34.959
And again, we kind of meet those standards to, to drive

36:35.169 --> 36:38.139
how you know, how much work we're doing in this space.

36:38.830 --> 36:43.139
Interesting, Karen. So basically you're saying I should reduce my email output.

36:43.149 --> 36:45.290
That's fascinating. I'll, I'll definitely take that on.

36:46.830 --> 36:51.280
So then in this world, um what we, we, we, we've talked about hybrid and,

36:51.290 --> 36:54.590
and organizations going forward having to balance, you know,

36:54.600 --> 36:56.260
in office and remote work.

36:56.270 --> 36:58.860
So we, we do have, we do have an issue, we have to solve it.

36:58.870 --> 37:01.060
We don't want to be doubling our carbon footprint.

37:01.290 --> 37:05.429
You know, what, what steps can organizations take to optimize their remote work,

37:05.439 --> 37:09.166
infrastructure and policies to help support an overall greener

37:09.176 --> 37:11.996
work environment uh as well as meeting working needs.

37:12.835 --> 37:14.305
Well, we can't mandate,

37:14.315 --> 37:16.166
I guess that everyone work in a remote setting

37:16.176 --> 37:18.496
and have a perfect zero carbon home office.

37:18.506 --> 37:18.996
Right? Like

37:19.125 --> 37:20.206
everybody recycles,

37:20.216 --> 37:24.315
everybody composts and everybody buys power from renewable generation sources.

37:24.345 --> 37:27.186
Um You know, we all have energy efficient tools, et cetera, but

37:27.721 --> 37:31.132
organizations can offer benefits and incentives to help create

37:31.142 --> 37:33.922
a greener home and a greener home office environment.

37:34.112 --> 37:36.031
Um And that's where data comes back in a little bit.

37:36.041 --> 37:39.162
So you can use data to identify where energy efficient

37:39.172 --> 37:43.271
improvements can be made such as optimizing computer power settings,

37:43.281 --> 37:48.092
um encouraging the use of energy efficient devices, reducing server usage.

37:48.330 --> 37:50.199
Um Even, you know,

37:50.300 --> 37:55.889
making a centralized decision about using lower carbon services um and

37:55.899 --> 38:00.040
finding opportunities for even reducing waste like digital work flows,

38:00.050 --> 38:03.250
um collaboration tools that most of us have and

38:03.620 --> 38:07.000
we can also, you know, consider the environment,

38:07.520 --> 38:09.909
the environmental impact when we're selecting

38:10.030 --> 38:13.330
those centralized tools for managing remote technology.

38:13.340 --> 38:14.310
Um you know,

38:14.320 --> 38:17.439
choosing and promoting providers and home office

38:17.449 --> 38:20.149
equipment that really does prioritize sustainability,

38:20.159 --> 38:23.870
such as those with renewable energy commitments or carbon neutral operations.

38:24.070 --> 38:24.550
Um

38:25.030 --> 38:29.149
There are things that companies can do to kind of offer services

38:29.169 --> 38:30.810
to help research and switch employees

38:30.820 --> 38:32.780
home electricity generation to all renewables.

38:32.790 --> 38:34.379
We're actually seeing some of that too.

38:34.750 --> 38:37.010
And there's an element of culture here too and,

38:37.020 --> 38:40.939
and nurturing and fostering a culture of sustainability and remote work,

38:40.949 --> 38:45.110
sharing some of those best practices and success stories amongst employees,

38:45.120 --> 38:49.439
you know, encouraging people to adopt eco-friendly habits in their work routines.

38:49.540 --> 38:50.189
And then

38:50.760 --> 38:53.419
another kind of element of of tracking this and making

38:53.429 --> 38:55.090
sure that the things we're doing are actually working,

38:55.100 --> 38:55.280
right.

38:55.290 --> 38:58.090
So developing sustainability metrics and key

38:58.100 --> 39:00.370
performance indicators to track that progress and

39:00.379 --> 39:02.709
set targets for actually reducing carbon

39:02.719 --> 39:05.449
emissions and that overall environmental impact.

39:06.590 --> 39:08.000
That's excellent, Karen.

39:08.010 --> 39:08.610
Yeah, I mean, it's,

39:08.620 --> 39:10.939
it's amazing that just the conversation today where

39:10.949 --> 39:13.689
we've gone from tax and talent to,

39:13.699 --> 39:13.919
to

39:14.169 --> 39:18.060
sustainability and, and obviously into the impact in, in real estate.

39:18.070 --> 39:21.780
I think it just shows you how broad this topic is and I'm pretty sure we could,

39:21.790 --> 39:24.060
we could probably go for another 45 minutes.

39:24.070 --> 39:26.310
So we probably have to start bringing it to a close.

39:26.320 --> 39:29.560
So as we close out, maybe I'll start with you Joel, you know,

39:29.570 --> 39:32.179
and everyone feel free once Jol's finished to jump in.

39:32.189 --> 39:32.750
But what,

39:32.760 --> 39:37.419
what's your key recommendation for managing uh a hybrid workforce going forward?

39:38.139 --> 39:38.520
Jim?

39:38.530 --> 39:42.110
I think you hit the nail on the head when you said how broad this topic is and, and,

39:42.120 --> 39:45.389
and just listening to what we covered on this webcast today,

39:45.679 --> 39:49.770
um, you know, if you, if you think about it, you know, a as Stephen started,

39:49.780 --> 39:51.310
obviously, you know,

39:51.320 --> 39:56.520
these programs for the most part are being driven by hr talent issues,

39:56.530 --> 39:59.750
the employee experience, um how to, you know, how to, you know,

39:59.760 --> 40:02.550
expanded pool of resources, right?

40:02.689 --> 40:03.209
But,

40:03.350 --> 40:06.590
but hr can absolutely not go it alone.

40:06.600 --> 40:10.129
Um You know, there's, it, it's extremely important to be, you know,

40:10.139 --> 40:12.510
to be collaborating across the organization.

40:12.790 --> 40:16.300
Um you know, managing obviously some of the tax implications.

40:16.310 --> 40:19.620
Um You know, we talked about, we talked about the finance issues,

40:19.629 --> 40:22.580
the real estate issues, um the impact on sustainability.

40:22.590 --> 40:25.800
So being able to collaborate effectively across the

40:25.810 --> 40:28.699
organization is extremely important and I'll take it,

40:28.709 --> 40:29.879
you know, a step further.

40:29.985 --> 40:31.314
One of the companies that, you know,

40:31.324 --> 40:34.354
11 of the challenges companies are having when they're looking

40:34.364 --> 40:37.465
to implement technology is really getting their hands around.

40:37.475 --> 40:40.135
What are all the appropriate data inputs that

40:40.145 --> 40:42.895
we really need to make whatever technology or

40:42.905 --> 40:45.554
to implement whatever technology we're gonna implement and

40:45.564 --> 40:47.094
make it as effective as we can?

40:48.290 --> 40:48.830
Excellent.

40:50.320 --> 40:52.590
Any other thoughts? I don't know. Uh Steve,

40:54.189 --> 40:56.080
sure, you know, it's interesting um

40:56.500 --> 41:00.360
in our Human Capital Trends report, which we produced this year in January, our,

41:00.370 --> 41:01.800
our 13th year,

41:01.949 --> 41:04.699
we sort of cited the nature of how organizations and

41:04.709 --> 41:07.459
the dynamics around them are becoming a bit more boundary less

41:07.939 --> 41:09.879
in reference to some of what we're talking about here, right?

41:09.889 --> 41:10.979
Remote work hybrid work,

41:10.989 --> 41:14.159
like where are the boundaries of the organization in the workplace and so forth.

41:14.469 --> 41:16.350
And one of the things we found was that we need to be

41:16.360 --> 41:21.879
careful not to let legacy mindsets kind of hamper us from stepping into

41:22.080 --> 41:24.969
this future that the pandemic has accelerated us into.

41:25.399 --> 41:29.989
And so a lot of what needs to happen now is a new set of fundamentals.

41:30.000 --> 41:32.780
One where we're really starting to think about

41:33.090 --> 41:36.510
how do we experiment together on what works or doesn't work?

41:36.520 --> 41:39.659
How do we empower teams um and core with

41:39.669 --> 41:43.510
the workforce itself around these new solutions and how do

41:43.520 --> 41:45.919
we keep sort of human outcomes at the forefront

41:45.929 --> 41:48.199
of what we're thinking about as a North Star?

41:48.500 --> 41:51.760
And that gets to some of what Chris and Karen were talking about.

41:51.899 --> 41:55.060
And I think if organizations sort of step back and,

41:55.260 --> 41:58.100
and explore that new future in that way,

41:58.110 --> 42:00.360
thinking like a researcher co creating with the

42:00.370 --> 42:03.419
workforce directly and focusing on human outcomes,

42:03.429 --> 42:05.649
they can chart a path forward in this new world.

42:07.659 --> 42:10.669
Uh Yeah, Carissa, I just wanna closing comment there.

42:11.000 --> 42:15.679
Yeah, I, I love, I love both what Joel and Steve have just said because, you know,

42:15.689 --> 42:18.750
it is about collaborating across the stakeholder landscape.

42:18.939 --> 42:20.750
It's about thinking like a researcher.

42:20.760 --> 42:25.139
And for me, the key thing that organizations need to be doing is,

42:25.399 --> 42:29.334
you know, gathering this data, making it business as usual, looking at it,

42:29.344 --> 42:31.415
analyzing monitoring trends

42:31.604 --> 42:34.705
aligning that to the future of the business and where work is

42:34.715 --> 42:38.895
going so that you can make informed decisions that are data backed,

42:38.905 --> 42:41.435
they're collaborative and they are, you know,

42:41.445 --> 42:46.534
experimental to continue to iterate how we change our, our workplace.

42:47.439 --> 42:50.260
Yeah. So, so Karen closing thoughts,

42:50.540 --> 42:54.510
I think the last thing I would add there and love what everybody is saying here is that

42:54.649 --> 42:55.780
there are real world,

42:55.790 --> 42:59.479
real Earth implications to the decisions that organizations are making,

42:59.489 --> 43:02.570
whether they're, they have to track them or not.

43:02.620 --> 43:06.179
Um So considering that from a sustainability angle is, is gonna be important.

43:07.229 --> 43:08.340
Yeah, that's brilliant.

43:08.469 --> 43:12.330
Well, thanks panel for uh for your insights today. Super informa

43:12.449 --> 43:14.629
informative. I've certainly learned a lot.

43:14.719 --> 43:18.850
Um and it's been really great um working with you through this uh this whole session,

43:19.060 --> 43:22.909
I mean, assessing remote work and hybrid work I think is going to be vital,

43:22.919 --> 43:25.560
going forward from a tax legal sustainability

43:25.570 --> 43:27.540
and real estate perspective going forward.

43:27.800 --> 43:31.260
And I do think organizations do start to um start thinking about

43:31.270 --> 43:35.340
having a comprehensive assessment of how they're gonna manage this going forward.

43:35.620 --> 43:39.959
Um I think this, this whole talent place is, is, is incredibly complex.

43:40.010 --> 43:42.370
Um But if we don't get our arms around the issues today,

43:42.379 --> 43:45.209
we're really just creating problems for ourselves down the future.

43:45.219 --> 43:45.479
We have,

43:45.489 --> 43:47.340
we have to get our arms around it whilst it's still

43:47.350 --> 43:50.510
manageable and it doesn't and doesn't run away from us.

43:50.659 --> 43:53.790
So thanks again, panel for your participant adaptation today.

43:53.800 --> 43:57.760
Super, super helpful and really enjoyed chatting with you to those tuning in.

43:57.899 --> 44:00.209
Uh Thanks for spending a few minutes today with Deloitte.

44:00.219 --> 44:02.469
Uh We hope you found the conversation useful.

44:02.479 --> 44:03.959
I think one thing that's certain,

44:03.969 --> 44:05.879
the topic of how and where we work was going

44:05.889 --> 44:09.080
to continue to raise important questions in the future.

44:09.090 --> 44:11.080
And we hope we've given you some ideas to think about

44:11.090 --> 44:14.800
how you might master hybrid work in the flexibility age.

44:14.810 --> 44:15.800
So, thank you very much.

