Tag Archives: Technology

“What Should We Build?”

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Over the past week, the Leader of the Federal Opposition has been asking a series of questions on Twitter and elsewhere, about “what should Australia be building?”. As well as building the foundations of Labor’s Federal Election policy platform for boosting jobs in the manufacturing sector, it also provides lots of photo ops for pollies in hard hats and hi-viz clothing. (I do wonder why the potential Prime Minister hasn’t thought of this idea before, or why he appears to not know the answer – isn’t that his job? It also makes me wonder whether we need Parliament anymore, since our elected representatives prefer to conduct their “debates” via Social Media and Press Conferences…. it would save a lot of time and money!)

By this time next year, Albo could be PM (Photo sourced from Twitter)

There has been no shortage of suggestions from the Twitterati, which fall into the following main categories:

  • Renewable energy
  • Trains
  • Trams
  • Ferries
  • High-end engineering

But there has also been commentary around Labor’s ambivalence on the coal and gas sector (especially in the key state of Queensland), and the irony that we export cheap raw materials and import expensive finished goods. Then there is debate on the amount of local manufacturing content that already exists in Australia’s state-based trains and urban trams/light rail systems (skewed by the question of local vs foreign ownership). Plus, there’s the thorny issue of high-speed inter-city trains…

As I commented recently, the manufacturing sector accounts for fewer than 1m local jobs (less than 10% of the working population), and 6% of GDP. It has been declining steadily as a contributor to GDP since the 1960s, and more rapidly in recent years since we abandoned key subsidies to the car industry. I don’t think anyone is suggesting we return to the days of metal bashing and white goods. And while we’ve got to be selective about the type of manufacturing base we want to to develop, we also have to be realistic about the manufacturing capabilities we want to encourage and enhance.

The latter involves developing transferable skills, creating interoperable production lines, deploying modular designs and inter-changeable components, and recycling/repurposing. All of which should mean we don’t need to make every part of every item domestically, but we know how to assemble, service, maintain, repair and replace goods locally, and we can focus on adding value that can be fed back into the supply chain, which in turn can be exported (via know-how and services). Australia has some decent research and development capabilities, but we are not always very good at raising domestic investment, or commerciliasing our IP (so this value ends up being transferred overseas, with little to no return accruing locally).

I’m not a huge fan of simplistic “buy local goods/support local jobs” campaigns, or local content quotas. The former can degenerate into trade protectionism and economic nationalism; while the latter tend to favour inefficient incumbents within cozy duopolies (see the broadcasting and media sector). The current debate has also raised questions about procurement policies, and I for one would welcome a total revamp of government IT purchasing and deployment at Federal, State and LGA levels.

There’s also the consumer angle: Australians are notoriously “cost conscious”, so will they be prepared to pay more for locally-made goods, even if they are better designed, well-made and energy efficient, compared to cheaper, less-sustainable imports? (This is also linked to the question of wage growth and restrictive trade practices.)

The recent pandemic has highlighted some challenges for the structure of the local economy:

  • Disruption to distribution networks and supply chain logistics
  • Food security
  • Energy self-sufficiency
  • Inability to service equipment locally or source spare parts
  • Different standards across the States
  • Medicine and vaccine manufacture, sourcing and distribution

For an up-to-date perspective on where Australian manufacturing policy needs to be heading, I recommend taking a look at the Productivity Commission’s latest submission to a current Senate enquiry. (Am I alone in thinking that the PC, along with the ACCC, is doing more to develop and advance economic policy than our elected representatives?)

The PC’s submission addresses a number of key points:

  • R&D incentives are hampered by complex tax treatment
  • Policies (and subsidies) favouring one industry create uncertainty for others
  • Need for IP reform (especially “fair use” of copyright)
  • The National Interest test needs clarifying
  • More effort on up-skilling through more relevant education and training
  • The role of manufacturing capabilities in supporting supply chain infrastructure

Finally, while I agree that there needs to be some focus on renewable energy and public transport, we should not ignore food and agriculture, bio-tech, IT, automation, robotics, materials science and other high-end capabilities in specialist design, engineering and recycling (including reclaiming precious minerals from obsolete equipment).

(And did I mention the “Innovation Agenda” and the revolving door at the Federal Ministry?)

Next week: Dead Pop Stars

The Limits of Technology

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As part of my home entertainment during lock-down, I have been enjoying a series of Web TV programmes called This Is Imminent hosted by Simon Waller, and whose broad theme asks “how are we learning to live with new technology?” – in short, the good, the bad and the ugly of AI, robotics, computers, productivity tools etc.

Niska robots are designed to serve ice cream…. image sourced from Weekend Notes

Despite the challenges of Zoom overload, choked internet capacity, and constant screen-time, the lock-down has shown how reliant we are upon tech for communications, e-commerce, streaming services and working from home. Without them, many of us would not have been able to cope with the restrictions imposed by the pandemic.

The value of Simon’s interactive webinars is two-fold – as the audience, we get to hear from experts in their respective fields, and gain exposure to new ideas; and we have the opportunity to explore ways in which technology impacts our own lives and experience – and in a totally non-judgmental way. What’s particularly interesting is the non-binary nature of the discussion. It’s not “this tech good, that tech bad”, nor is it about taking absolute positions – it thrives in the margins and in the grey areas, where we are uncertain, unsure, or just undecided.

In parallel with these programmes, I have been reading a number of novels that discuss different aspects of AI. These books seem to be both enamoured with, and in awe of, the potential of AI – William Gibson’s “Agency”, Ian McEwan’s “Machines Like Me”, and Jeanette Winterson’s “Frankissstein” – although they take quite different approaches to the pros and cons of the subject and the technology itself. (When added to my recent reading list of Jonathan Coe’s “Middle England” and John Lanchester’s “The Wall”, you can see what fun and games I’m having during lock-down….)

What this viewing and reading suggests to me is that we quickly run into the limitations of any new technology. Either it never delivers what it promises, or we become bored with it. We over-invest and place too much hope in it, then take it for granted (or worse, come to resent it). What the above novelists identify is our inability to trust ourselves when confronted with the opportunity for human advancement. Largely because the same leaps in technology also induce existential angst or challenge our very existence itself – not least because they are highly disruptive as well as innovative.

On the other hand, despite a general shift towards open source protocols and platforms, we still see age-old format wars whenever any new tech comes along. For example, this means most apps lack interoperability, tying us into rigid and vertically integrated ecosystems. The plethora of apps launched for mobile devices can mean premature obsolescence (built-in or otherwise), as developers can’t be bothered to maintain and upgrade them (or the app stores focus on the more popular products, and gradually weed out anything that doesn’t fit their distribution model or operating system). Worse, newer apps are not retrofitted to run on older platforms, or older software programs and content suffer digital decay and degradation. (Developers will also tell you about tech debt – the eventual higher costs of upgrading products that were built using “quick and cheap” short-term solutions, rather than taking a longer-term perspective.)

Consequently, new technology tends to over-engineer a solution, or create niche, hard-coded products (robots serving ice cream?). In the former, it can make existing tasks even harder; in the latter, it can create tech dead ends and generate waste. Rather than aiming for giant leaps forward within narrow applications, perhaps we need more modular and accretive solutions that are adaptable, interchangeable, easier to maintain, and cheaper to upgrade.

Next week: Distractions during Lock-down

 

 

 

 

 

 

The Ongoing Productivity Debate

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In my previous blog, I mentioned that productivity in Australia remains sluggish. There are various ideas as to why, and what we could do to improve performance. There are suggestions that traditional productivity analysis may track the wrong thing(s) – for example, output should not simply be measured against input hours, especially in light of technology advances such as cloud computing, AI, machine learning and AR/VR. There are even suggestions that rather than working a 5-day week (or longer), a four-day working week may actually result in better productivity outcomes – a situation we may be forced to embrace with increased automation.

Image Source: Wikimedia Commons

It’s been a number of years since I worked for a large organisation, but I get the sense that employees are still largely monitored by the number of hours they are “present” – i.e., on site, in the office, or logged in to the network. But I think we worked out some time ago that merely “turning up” is not a reliable measure of individual contribution, output or efficiency.

No doubt, the rhythm of the working day has changed – the “clock on/clock off” pattern is not what it was even when I first joined the workforce, where we still had strict core minimum hours (albeit with flexi-time and overtime).  So although many employees may feel like they are working longer hours (especially in the “always on” environment of e-mail, smart phones and remote working), I’m not sure how many of them would say they are working at optimum capacity or maximum efficiency.

For example, the amount of time employees spend on social media (the new smoko?) should not be ignored as a contributory factor in the lack of productivity gains. Yes, I know there are arguments for saying that giving employees access to Facebook et al can be beneficial in terms of research, training and development, networking, connecting with prospective customers and suppliers, and informally advocating for the companies they work for; plus, personal time spent on social media and the internet (e.g., booking a holiday) while at work may mean taking less actual time out of the office.

But let’s try to put this into perspective. With the amount of workplace technology employees have access to (plus the lowering costs of that technology), why are we still not experiencing corresponding productivity gains?

The first problem is poor deployment of that technology. How many times have you spoken to a call centre, only to be told “the system is slow today”, or worse, “the system won’t let me do that”? The second problem is poor training on the technology – if employees don’t have enough of a core understanding of the software and applications they are expected to use (I don’t even mean we all need to be coders or programmers – although they are core skills everyone will need to have in future), how will they be able to make best use of that technology? The third problem is poor alignment of technology – whether caused by legacy systems, so-called tech debt, or simply systems that do not talk to one another. I recently spent over 2 hours at my local bank trying to open a new term deposit – even though I have been a customer of the bank for more than 15 years, and have multiple products and accounts with this bank, I was told this particular product still runs on a standalone DOS platform, and the back-end is not integrated into the other customer information and account management platforms.

Finally, don’t get me started about the NBN, possibly one of the main hurdles to increased productivity for SMEs, freelancers and remote workers. In my inner-city area of Melbourne, I’ve now been told that I won’t be able to access NBN for at least another 15-18 months – much, much, much later than the original announcements. Meanwhile, since NBN launched, my neighbourhood has experienced higher density dwellings, more people working from home, more streaming and on-demand services, and more tech companies moving into the area. So legacy ADSL is being choked, and there is no improvement to existing infrastructure pending the NBN. It feels like I am in a Catch 22, and that the NBN has been over-sold, based on the feedback I read on social media and elsewhere. I’ve just come back from 2 weeks’ holiday in the South Island of New Zealand, and despite staying in some fairly remote areas, I generally enjoyed much faster internet than I get at home in Melbourne.

Next week: Startup Vic’s Impact Pitch Night

 

 

 

 

 

Fear of the Robot Economy….

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A couple of articles I came across recently made for quite depressing reading about the future of the economy. The first was an opinion piece by Greg Jericho for The Guardian on an IMF Report about the economic impact of robots. The second was the AFR’s annual Rich List. Read together, they don’t inspire me with confidence that we are really embracing the economic opportunity that innovation brings.

In the first article, the conclusion seemed to be predicated on the idea that robots will destroy more “jobs” (that archaic unit of economic output/activity against which we continue to measure all human, social and political achievement) than they will enable us to create in terms of our advancement. Ergo robots bad, jobs good.

While the second report painted a depressing picture of where most economic wealth continues to be created. Of the 200 Wealthiest People in Australia, around 25% made/make their money in property, with another 10% coming from retail. Add in resources and “investment” (a somewhat opaque category), and these sectors probably account for about two-thirds of the total. Agriculture, manufacturing, entertainment and financial services also feature. However, only the founders of Atlassian, and a few other entrepreneurs come from the technology sector. Which should make us wonder where the innovation is coming from that will propel our economy post-mining boom.

As I have commented before, the public debate on innovation (let alone public engagement) is not happening in any meaningful way. As one senior executive at a large financial services company told a while back, “any internal discussion around technology, automation and digital solutions gets shut down for fear of provoking the spectre of job losses”. All the while, large organisations like banks are hiring hundreds of consultants and change managers to help them innovate and restructure (i.e., de-layer their staff), rather than trying to innovate from within.

With my home State of Victoria heading for the polls later this year, and the growing sense that we are already in Federal election campaign mode for 2019 (or earlier…), we will see an even greater emphasis on public funding for traditional infrastructure rather than investing in new technologies or innovation.

Finally, at the risk of stirring up the ongoing corporate tax debate even further, I took part in a discussion last week with various members of the FinTech and Venture Capital community, to discuss Treasury policy on Blockchain, cryptocurrency and ICOs. There was an acknowledgement that while Australia could be a leader in this new technology sector, a lack of regulatory certainty and non-conducive tax treatment towards this new funding model means that there will be a brain drain as talent relocates overseas to more amenable jurisdictions.

Next week: The new productivity tools