The pandemic, the evolution of technology, the aging workforce, and how people want to work today have all rocked the energy and utilities industry to its core. This article discusses four critical trends for utility organizations to keep an eye on and adopt in the next 18 to 24 months.
The energy and utilities (E&U) industry is historically innovative when it comes to technology — but the last year has rocked its way of working to its core.
The industry has been implementing new technologies to save consumers’ time and money, increase energy efficiency and improve conservation programs as far back as the 1970s. It even helped set the stage for the modern online user experience, taking on high-volume online transaction processing before most users and industries understood online transactions.
However, when it comes to people and processes, E&U still has a way to go. Many of the existing company roles and processes never experienced a true transformation. Instead, companies transitioned to processing the information digitally, without embracing the full extent of what technology can do.
Today, especially following the COVID-19 pandemic, many E&U companies are facing the results of innovation without transformation. And while the task of embracing operational and cultural transformation is daunting, there are a few significant trends that will help your company take the leap.
1. Business Anywhere
Many organizations are working remotely or installing and adopting new tools for virtual communication. But remote-work technology is just one way digital-first approaches are changing how we work and live together.
Business Anywhere starts with assessing how you work today before making decisions that will affect tomorrow. And while digital tools enable organizations to function during these unprecedented times, deploying new processes and managing people’s acceptance of change is just as important as technology.
If you’re not interested in becoming fully remote, you might still need to employ a Hybrid workplace. Such models combine virtual and in-person work models to gain access to the “serendipitous moments” afforded in an in-office setting while allowing team members who prefer heads-down work in their own homes to have such opportunities.
2. Trust
You’re no stranger to trust, even at work. But as the industry adopts more remote work following the pandemic, it’s essential to ensure you bake trust into your organization. This isn’t only important due to remote work, either — it’s critical to establish trust to help manage organizational change, communication and training to gain value from your strategic initiatives.
But that’s easier said than done — how, exactly, do you go about ensuring trust is part of your organization? By switching up how you measure results from your teams. Instead of checking how many hours they’ve worked or how many breaks they’ve taken, turn to results.
To do that, you need a performance measurement framework to give you a holistic view of how your organization defines success. Don’t base your performance measurement on how many meters your teams read, how satisfied your customers are or even how accurate your billing is. Turn to a combination of these metrics, and you’ll have a good understanding of how your team is doing, regardless of where they work.
3. Hyperautomation
Automation can relieve some of the complexity of supporting remote staff, leaving suitable tasks to the machine while remote teams perform knowledge work.
Robotic Process Automation (RPA) has long been the go-to for automation. RPA software, behaving as a participant in a process, can replicate human behavior to perform routine, repeatable, rules-based system interactions and integrations. It can perform everything from keyboard strokes, mouse clicks and data reads to logic and writes through existing user interfaces.
- And as a utility organization, you’re tasked with maintaining separate customer, asset and work management systems.
- Working with three disparate systems makes every task take a little longer — and that’s where process automation can come in.
- It can step in and act as that last mile of integration so your teams can work more flexibly and efficiently.
Today, new technologies such as hyperautomation — the combination of RPA, machine learning, natural language processing, enterprise systems integration, document ingestion and understanding, and more — can help take on those processes that need to go a step further than automation.
For example, we had a utility client whose financial team was getting bogged down chasing after small balance bills. Using a combination of RPA and artificial intelligence, we created a bot that would analyze a bill and determine when to dismiss it, pursue it through automation or leave it for human intervention.
28 comments
Gail2184
January 23, 2026 at 10:48 pm
Partner with us for generous payouts—sign up today!
Lyla1409
March 30, 2026 at 12:02 pm
Refer friends and colleagues—get paid for every signup!
Moses78
April 30, 2026 at 9:42 am
https://shorturl.fm/jAwWa
Sergio2002
May 30, 2026 at 12:51 pm
https://shorturl.fm/4psj4
indo colmek
July 15, 2026 at 11:27 am
Amazing! Its actially remarkable paragraph, I habe goot uch cler idea concerninng from thi piecee oof writing.
ofvd9wuapt4af7rc0ugz
Celia2092
July 16, 2026 at 6:02 pm
https://shorturl.fm/x0JkZ
Lucia480
July 17, 2026 at 6:29 pm
https://shorturl.fm/cgKrw
affair
July 19, 2026 at 7:19 pm
If sime one desirds tto bbe updated wit latest
technologirs thben hee musst bee payy a quick viksit thgis webbsite andd bee uup tto dafe daily.
ofvd9wuapteh1t0rbosu
Lucas417
July 27, 2026 at 12:45 am
https://shorturl.fm/nNinu
diff-master
August 24, 2026 at 7:20 am
Interesting read — the energy sector has always led on tech, but it’s clear the real shift now is in people and processes. Curious to see how these trends play out over the next couple of years!
Cool Fancy Text Generator
August 24, 2026 at 7:20 am
Great read! The energy sector is definitely at a turning point, and these trends are spot on for what’s coming. Thanks for breaking it down so clearly!
spelling bee answers today nyt
August 24, 2026 at 7:21 am
Great read! The energy sector has come a long way with tech, but it’s refreshing to see the focus on people and processes too. Definitely some key trends to watch—excited to see how utilities adapt over the next couple of years!
audiocut online
August 24, 2026 at 7:21 am
Great read! The energy sector is definitely at a turning point, and it’s exciting to see how tech and workforce shifts are pushing real change. Curious to see how these trends evolve over the next couple of years!
free download ppt
August 24, 2026 at 7:21 am
Interesting read! It’s amazing how much the energy sector has evolved, and these trends definitely give utility companies a lot to think about over the next couple of years. Thanks for breaking it down so clearly!
Jimmy
September 2, 2026 at 8:41 am
Predictive modeling tends to earn its keep when it is wired to one concrete decision – churn saves, staffing windows, reorder points – rather than a general dashboard nobody acts on. The unglamorous step that decides profitability is the baseline: if you never logged what you would have done without the model, the claimed profit stays an article of faith. Documenting the before and after of each decision makes the business case for the next model much easier to defend.
Francescas online shop
September 5, 2026 at 9:20 am
Thanks for putting this in plain language.
xnxxhub.win
September 6, 2026 at 3:36 pm
Thank youu a loot ffor shaqring thi with alll folms you rally knopw what you’re speakinng approximately!
Bookmarked. Kindly addiutionally visit my wweb sit =).
We ccan have a hyperlink traade contract betseen uus xnxx
Peptides Oline
September 22, 2026 at 9:30 am
Thanks for sharing your knowledge with us.
png2icon
October 13, 2026 at 4:16 pm
This reads like a slide from a deck rather than a process anyone has actually run — ‘covalent strategic theme areas’ isn’t a phrase that exists outside consulting decks. I’d be more convinced if you walked through one predictive model end to end: the data sources, the feature engineering, and how you measured lift against a holdout. Without that, ‘predictive modeling’ here is just a label.
Elena Quiroga
October 20, 2026 at 8:35 pm
The focus on pandemic-driven disruption, an aging workforce, and changing expectations around how people work shows why predictive modeling must account for more than historical utility data. Connecting those trends to decisions over the next 18–24 months could help organizations turn uncertainty into measurable operational and financial gains.
Simon Pennington
October 21, 2026 at 5:19 pm
The focus on predictive modeling is especially timely as utilities navigate pandemic-driven disruption, an aging workforce, and changing expectations around how people work. Planning for the next 18 to 24 months with these trends in mind could help organizations turn operational uncertainty into more informed decisions.
Tara Brennan
October 26, 2026 at 5:42 pm
Predictive modeling could help utilities turn disruption from the pandemic, workforce aging, and changing work preferences into actionable planning decisions. Focusing on the next 18–24 months makes it especially useful for prioritizing investments and managing operational risk.
Elena Gallagher
October 27, 2026 at 5:31 am
The focus on the next 18 to 24 months is especially relevant as utilities adapt to pandemic-driven changes, new technology, and an aging workforce. Predictive modeling can help organizations translate those workforce and operational trends into more profitable, proactive decisions.
Vetshtein Robel
October 27, 2026 at 4:45 pm
The focus on predictive modeling is especially timely as utilities navigate the pandemic’s impact, an aging workforce, and changing expectations around how people work. The 18–24 month adoption window gives organizations a practical timeframe for turning these industry shifts into more proactive, profitable decisions.
AMV Trade Buddy
October 27, 2026 at 7:40 pm
The distinction between digitizing existing roles and actually transforming processes is the part of this piece that stands out, especially the claim that many E&U companies face innovation without transformation. It raises a practical question for predictive modeling: does the model change decision rights and workflows, or just produce reports on top of the old ones? We build a small Adopt Me trading values tool and see a similar gap when estimates are shown without sources or confidence, from the team behind AMV Trade Buddy.
Alex Whitfield
October 29, 2026 at 5:39 pm
The connection between predictive modeling and the industry’s 18–24 month adaptation window is especially compelling. Turning workforce shifts and evolving technology into forward-looking operational decisions could help utilities improve resilience while creating measurable profit.
PixArmory
October 30, 2026 at 8:47 am
The note that E&U was handling high-volume online transaction processing before most users understood online transactions is a useful reminder of how far ahead the plumbing can run of the people side. Pairing that history with the four trends and an 18-to-24-month window keeps the piece from treating transformation as a vague mandate. I read it alongside our work on an AI photo editor at PixArmory, where tooling can move faster than the habits around it.
Jev AI Tools
November 2, 2026 at 11:38 am
The detail that E&U was already deploying technology in the 1970s to save consumers money and improve conservation programs suggests today’s gap is less about tools than about who owns the process change. For predictive modeling that ownership question is the practical one, since a forecast only pays off if someone decided in advance what action it triggers. We build small interactive experiments around typed evaluation signals at Jev AI Tools.