Showing posts with label Conference. Show all posts
Showing posts with label Conference. Show all posts

Jan 29, 2020

The Dark Side of the #HRTech driven #DigitalTransformation and #FutureOfWork we prefer to not talk about


I try to attend a couple of HR Technology conferences every year:n SHRM's Tech Conference, and People Matters' TechHR Conference.

These conferences are unlike the more traditional HR Conferences. There's a different energy, with international speakers, a dedicated venue for HR Tech startups, Angel Investors hearing pitches, in addition to the traditional sponsors.

Every speaker and participant is gung-ho about the amazing difference technology can make to employees and the workplace. How it will free us of boring repetitive tasks to focus on truly creative and strategic tasks.

Some of the things that HR leaders often say in such conferences are (and I paraphrase):

"We need to reskill our employees to get them ready for the coming future of work"
"We need to embrace an agile mindset and prioritise digital transformation for putting employee experience at the centre of everything we do"
"We need to deploy tools like AI and ML and chatbots to better hire, engage and service  our employees and leaders"
"Technology will free us from the shackles of a physical workspace, enabling all of us to be masters of our time and destiny creating a rising gig economy" 
I agree, all these are correct, but once in a while I wish, people would focus on the inevitable disappointments inflated expectations will bring. There is a "law" attributed to American researcher Roy Amara, commonly known as Amara's Law which says: "We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run."

Technology does not move in linearly. Every technology adopted by humans (from cooking food in fire to agriculture down to industrial and now to the interconnected digital world) has also profoundly changed our society for the better and for the worse. You can't really have one without the other.

Before I go any further, it would be a good point to remember that while we collectively have changed beyond recognition over the last couple of millennia, our brains haven't evolved at a neurological level much beyond our hunter gatherer days.
When faced with perceived danger of any kind, our amygdala, takes over with a "fight or flight" response. We still can't form more than 150 meaningful relationships (irrespective of the number of friends you have on Facebook or WhatsApp or LinkedIn). That number is called Dunbar's number, you can read about why that is the case here.

In my opinion we should have more conversations about the following in the context of the future of work:

  • Digital Transformation is hard to get right. According to consulting firm McKinsey the average success rate across industries is about 30%. That is because digital transformation requires a concerted effort  from every part of the organization, which might be at varying degrees of digital fluency. HR people are aware how a process or structural change initiative can falter, now imagine changing processes, technology and culture all at the same time.
  • Let's address the elephant in the room: Job losses, changes in work due to automation and reskilling. Depending on which report you read, the numbers are widely different. But here's an example. At a panel on HR for Industry 4.0, a person who was in HR at a paints company shared this example: The company selected a location in a North Indian state to set up a new plant. The state government was overjoyed when they heard the proposed output of the plant. However when the plant came up, it was so automated that it required just 200 people to manage it than what the policy makers expected  would be 1000-1200 people. The skills to run such a plant were not available locally too, and the only direct local employment were in areas like building security, cooks and gardening.  So yes, automation and AI will create new jobs, but most often than not the workers they displace will not be able to reskill fast enough. And it will not be a one time reskilling either. As the rate of pace keeps accelerating people will need to keep adding skills and reinventing themselves again and again. The impact that will have on the mental health of such people and the larger impact and stress it will put on the communities and social fabric is a topic that is brushed under the carpet. It has happened before too: Clay Shirky called it "Cognitive Surplus". Read a detailed summary here.
  • It's also worth remembering that global companies with very deep pockets and a relatively higher skilled workforce would be able to carry out the reskilling with much less pain, if their stocks are not hammered in the stock markets, that is. It is also a fact that most employed people are in the Micro, Small and Medium sectors, which may or may not be able to afford it, even if they want to. 
  • I have covered some of the issues of the rise of the gig economy in my earlier blog post here. See specially point number 10, in that post.
  • Let's face it, in my personal opinion, most HR people are not very comfortable with technology or digitally savvy. Most are risk averse and simply implement the HR module of the ERP solution they are already deploying. That's because the speakers at the HR Tech conferences are outliers, the innovators, and believing that some HR leaders are representative of the larger community, would be a mistake. HR Tech vendors should therefore stop thinking of these innovators as the normal and get their hands on Geoffrey Moore's classic book "Crossing the Chasm"
  • After which we come to the vendors, and some blame should be shared by the HR buyers also for falling to the "new shiny object" syndrome. The big issue with vendors, specially those working on point solutions, is that they don't have anyone in the founders who have worked in HR. Therefore they think they have a solution which meets their needs (primarily arising  out of the pain points they have themselves felt as candidates or employees) without really understanding the dependencies and processes that need to be addressed before either Candidate Experience/Employee Experience can be improved solely on the basis of technology. Finding a client who is willing to experiment with a new, unproven solution is being very lucky. Vendors need to be open to customising their product and not say "take it or leave it". Another reason many CHROs hesitate to try a new HR Tech startup is they do not want to be investing time, people, data and significant resources to a startup only to find 18 months later that it has shut down because it burned cash and couldn't raise additional funding or has been acquired by a larger player who might turn the tech for other uses, or just been acqui-hired. Vendors need to be open about their product roadmap and funding situation. Those who don't do that impact the others in the ecosystem. In the case of Artificial Intelligence in HR enough has been said about relying on past data leading to reinforcing existing biases.

This is not a rant. At least I didn't mean it to be :)

These are some aspects I think that we as a HR and HR Tech community need to be having conversations about so that we don't rush in where angels fear to tread :)

What do you think? Where would you disagree with me? 

Jan 21, 2020

Recap of the panel on #gigeconomy at the 9th National HR Conference at XLRI

Last weekend I attended the 9th National HR Conference at XLRI, Jamshedpur.

Main poster

On 19th, I moderated a panel discussion on implications for HR in the era of the gig economy. The panelists were author and thought leader Abhijit Bhaduri, Shamita Chatterjee of Infosys, Suresh Tripathi of Tata Steel, Raj Narayan of Titan, Amitav Mukerji of ITC and Arvind Subramanian

Panelists at the HR conference on XLRI campus in Jamshedpur on Saturday

Some views shared by the panelists were:


  1. Gig Economy is a reality, and India is among the top three countries with gig workers
  2. Gig workers were always a reality, but now with certain platforms they can offer their skills across geographies (these are the knowledge based gig workers)
  3. Gig workers come in all varieties: from semi-skilled (like drivers, delivery boys) to master "karigars" (example of master jewellery makers was shared by Mr. Raj Narayan ). Abhijit called these high end gig workers as "gig artists)
  4. Suresh of Tata Steel shared an interesting experiment they were doing, where workers can use 20% of their work time to do an external gig, thereby building additional skills and supplementing their incomes
  5. Gig economy does give rise to a power law, specially in the high skills market, where a few players can corner a high gains than the rest
  6. Abhijit said that maybe we were looking in the wrong place for inspiration. He said that we should be looking at the Indian movie industry where 80% of the workforce is comprised of gig workers. (I had posted something on the same lines 16 years ago)
  7. Shamita of Infosys shared that thanks to fears about cybersecuity and data security, hiring gig workers on IT projects is actually going down.
  8. Amitav of ITC opined that for low skilled gig workers, there will be a new kind of collectivism that will rise. He gave the example of loaders in Maharashtra, known as "mathadis" who are organised under a welfare board, set up in compliance to the Maharashtra Hamal, Mathadi and other unprotected workers (Regulation of Employment and Welfare) Act 1969. 
  9. On a question about the Labour Laws lagging behind the reality of the gig workforce, the members of the panel agreed that the law will evolve and HR leaders have to have a constant dialogue with policy makers and educate them about the new reality
  10. There were concerns from the audience about the lack of a safety net for gig workers and the psychological aspect of not being part of a workforce, as well as the need for constant reskilling to remain relevant. Amitav said there was a business opportunity for companies who could make products like a pension scheme and insurance schemes for gig workers. Support networks for identity and mental health of gig workers were also pointed out as a necessity, especially those gig workers who are subject to the tyranny of algorithms
I might be missing out on some points, but I guess I've covered the big points in this post.

Here's a news item on the conference in The Telegraph