Bridging the Gap: Seven Leadership Practices for Successful AI Transformation | LSE AI Leadership Accelerator

The promise and reality of AI in business

Record levels of investment show that business leaders recognise AI’s game-changing potential. Yet the gulf between promise and impact remains stubbornly wide:

By contrast, Deloitte’s year-end State of Generative AI pulse shows the opposite end of the spectrum: 74% of the most advanced Gen-AI initiatives are already meeting or exceeding ROI targets, while only one in five projects overall achieves that level of success — evidence of a widening leader–laggard gap.

Real-world lessons from LSE and Deloitte 

The insights shared in this blog are drawn from a recent live event hosted by the London School of Economics and Political Science (LSE) and FourthRev, which brought together LSE faculty experts and an industry leader from Deloitte to explore what it really takes to translate AI strategy into business impact.

The session also introduced the new LSE AI Leadership Accelerator, a programme purpose-built for senior professionals and consultants who need to lead or advise on AI transformation. Developed in collaboration with experts from Deloitte’s Office of Gen AI, as well as Heads of AI at Inchcape Digital, Thredd and others, the Accelerator focuses not on technical training, but on strategic leadership, organisational change, and responsible implementation — the very themes explored during the webinar panel.

The industry quotes that follow are taken directly from this event. They illustrate, in the speakers’ own words, the real barriers organisations are facing and the leadership mindsets required to overcome them. You can watch the full recording of the session below:

The surprising truth: It’s rarely a technical problem

A growing body of research confirms what many executives feel intuitively: technology isn’t the main barrier.

According to BCG’s 2024 AI Radar, around 70% of adoption challenges stem from people and process issues, not technical limitations like algorithms or infrastructure.

Dr Dorottya Sallai, an Associate Professor (Education) of Management at the LSE Department of Management, calls AI adoption a “cultural transition.” As Dr. Sallai explained during the webinar:

“With every digital transformation, it all depends on the people. You can introduce a new system, but if people don’t use it, or they revert to the old systems, it’s not going to work. With generative AI and AI more generally, it’s more complex because it is not like traditional technology; it will impact a lot of different aspects of the organisation — the decision-making processes. The biggest issues are the psychological dimension, the cultural dimension, and the leadership dimension.”

Dr. Dorottya Sallai, Associate Professor (Education) of Management, LSE Department of Management

Put simply, strategic misalignment, cultural resistance, and leadership inertia — not model accuracy — explain most tech failures.

In many organisations, technical teams build capable models but struggle to communicate business value. Business teams, meanwhile, face internal friction: employees worry about job security, and executives grapple with scepticism rooted in legacy systems and past failures.

Perhaps most telling is this finding: “The biggest barrier to scaling AI is not employees — who are ready — but leaders, who are not steering fast enough.” Their research shows that leaders are twice as likely to blame employee resistance as to acknowledge their own gaps in guiding transformation.

Seven leadership practices that drive AI success

Based on comprehensive research across multiple industries and feedback from organisations actively implementing AI today, seven leadership practices consistently emerge as critical factors in successful AI transformation. These practices address the most common challenges we hear from executives: lack of strategic vision, organisational resistance, and difficulty demonstrating tangible value.

1. Foster trust and transparency

Trust is the foundation of successful AI adoption. When employees don’t understand AI’s purpose or implementation, resistance naturally follows. Harvard Business Review puts it succinctly: “Employees won’t trust AI if they don’t trust their leaders.”

Effective leaders:

  • Communicate openly about AI initiatives and their intended impact
  • Acknowledge uncertainties and address concerns proactively
  • Involve employees in AI experiments and decision-making
  • Demonstrate how AI decisions are made and can be verified
  • Establish formal ‘responsible AI’ processes

The impact is measurable: According to IBM research, organisations that implement formal responsible AI frameworks report significantly higher workforce adoption and engagement.

What’s more, employees back what they understand. Deloitte’s C-suite ethics survey shows 88% of companies now communicate openly about how they use AI, and 52 % involve the board when drafting AI-ethics policy. 

In short, when leaders communicate clearly and implement responsible AI principles, they create the trust and clarity teams need to adopt AI confidently.

2. Lead with a clear vision and business case

Researchers warn that “AI strategies without a compelling ‘why’ rarely survive first contact with reality.” The best leaders link every AI use case to a strategic outcome and publish an enterprise AI roadmap. 

Deloitte finds C-suite alignment is a top-three predictor of scaling success. AI initiatives succeed when they’re connected to strategic business outcomes rather than implemented as technology experiments. Leaders must articulate a compelling ‘why’ behind AI adoption.

Successful organisations:

  • Connect AI directly to business strategy and priorities
  • Develop compelling narratives about AI’s purpose
  • Establish clear ROI metrics and milestones
  • Focus on solving real business problems rather than deploying technology for its own sake

IBM emphasises that the most successful AI adopters ground their initiatives in clearly defined business strategies, supported by structured roadmaps that align AI efforts with enterprise goals — a sharp contrast to the ad hoc approaches seen in less mature organisations.

Strategic programme managers emphasise that developing validated narratives around AI adoption — supported by concrete business cases — is essential for earning stakeholder buy-in, particularly in organisations grappling with legacy systems or recovering from previous failed technology initiatives.

3. Establish strong governance and ethics

Ethics is now a revenue issue. Deloitte reports that 55% of C-level executives say robust AI guidelines are very important to growth, and 49% already have formal policies in place (another 37% are nearly ready). When the CEO or board takes direct oversight, there’s 3.6× boost in bottom-line impact.

As AI becomes more embedded in critical business processes, governance becomes increasingly important. Leaders must establish appropriate guardrails while enabling innovation.

Effective governance includes:

  • Clear ‘guardrails’ for appropriate AI use cases
  • Multi-disciplinary oversight spanning technical and business perspectives
  • Responsible AI principles addressing bias, privacy and transparency
  • Proactive compliance management
  • Executive-level accountability

This level of executive oversight has become a consistent marker of maturity. Companies that embed governance at the highest levels tend to achieve stronger alignment, greater impact, and more sustainable results.

IKEA provides an instructive example, having established a multidisciplinary AI governance team, comprising technologists, legal experts, policy professionals, and designers, that ensures AI initiatives align with business priorities and uphold responsible AI principles.

4.  Invest in people and skills

AI fluency must extend across the enterprise. Nearly two-thirds of organisations prefer up-skilling existing employees over external hiring for new AI roles; almost half are already reskilling staff for Gen-AI. LSE’s “human-centred” guidance stresses training in critical thinking, change management, and prompt engineering to turn fear into curiosity.

AI fluency is rapidly becoming as important as digital literacy. Organisations must build capabilities across all levels, not just among technical specialists.

Leading organisations:

  • Develop organisation-wide data literacy programmes
  • Provide role-based AI capability training
  • Establish AI academies and learning paths
  • Build communities of practice to share knowledge
  • Train employees in “prompt engineering” for generative AI

BCG research indicates that organizations with a strategic focus on AI —allocating substantial resources and upskilling their workforce — achieve significantly higher ROI on their AI investments compared to their peers.

Technical leaders increasingly highlight the importance of soft skills alongside technical fluency — including the ability to frame AI solutions in terms of business value, communicate outcomes to stakeholders, and align innovations with strategic goals. As AI becomes more integrated into decision-making, this blend of business and technical acumen is proving essential for driving adoption and delivering real impact.

5. Encourage experimentation and learn from failure

Innovation demands controlled testing environments. Deloitte’s Gen-AI survey shows 76% of leaders will give AI projects at least 12 months to resolve ROI or adoption challenges before shrinking budgets, signalling patience for iterative learning.

Innovation requires experimentation, and experiments sometimes fail. How organisations handle failure often determines their long-term success with AI.

Successful approaches include:

  • Creating safe spaces for AI experimentation
  • Destigmatising failure as an essential part of the learning process
  • Applying agile methodologies to AI projects
  • Systematically reviewing lessons learned across the organisation
  • Celebrating both successes and valuable failures

BCG’s research identified a counterintuitive insight: Organisations that acknowledge and ‘celebrate failures’ in AI pilots correlate with higher long-term value creation, likely because they learn faster and iterate more effectively.

The hidden cost of hesitation

While experimentation is essential, many organisations remain cautious — particularly those navigating economic pressure or still carrying the weight of past transformation failures.

George Johnston from Deloitte and offered a candid reflection on this dilemma during the LSE webinar:

“You don’t experiment for nothing… there is a cost to these things. You’ll ask, is now the time to be spending money on something that may not work? Or shall we hold on to that for the time being, understand what others are doing? We don’t necessarily need to be the first mover.”

George Johnston, AI Technology, Media and Telecoms (TMT) EMEA leader, Partner at Deloitte

Pausing may feel prudent, but in fast-moving fields like AI, the bigger risk is falling behind while others build capability, confidence, and momentum.

6. Show visible leadership and align from the top

Culture follows example. High-achieving companies are three times more likely to trust AI insights over ‘gut feel,‘ yet they also invest heavily in change-management and training to channel that confidence productively. Cross-functional steering committees, and leaders who personally use AI tools, signal that transformation is non-negotiable.

George noted in the event:

“When I think about some of the experimentation that’s not worked so well… probably the most common factor that we’ve seen is that there has not been sufficient senior sponsorship, and/or there’s a limited path to that scaling. That tends to be where things fail — not understanding the end-to-end process of how you are going to transform, and having the senior buy-in.”

George Johnston, AI Technology, Media and Telecoms (TMT) EMEA leader, Partner at Deloitte

When leaders demonstrate personal commitment to AI adoption, it signals importance to the entire organisation. Alignment at the top is particularly crucial given AI’s cross-functional nature.

Effective leadership alignment includes:

  • Ensuring C-suite consensus on AI strategy and priorities
  • Establishing cross-functional steering committees
  • Creating dedicated transformation offices when appropriate
  • Leaders personally using and championing AI tools
  • Regular board-level engagement on AI progress

IBM found that in the most successful AI organisations, the C-suite and IT leaders work in lockstep — a sharp contrast to companies where AI remains siloed in technical teams.

7. Prioritise ethical leadership & responsible AI

Beyond compliance, ethics is a brand differentiator. According to Deloitte, board-level involvement in AI-ethics policy is becoming standard practice, with 52% of boards always engaged. Organisations with mature ethical frameworks are also 2.5× more likely to earn customer trust. LSE experts add that open dialogue about risks creates the psychological safety needed for rapid, responsible experimentation. As Dr. Dorottya Sallai put it:

“My advice would be — equip yourself with the knowledge. If you have the knowledge and you understand what’s happening, you will be able to take leadership. I think the biggest challenge for leaders today is to understand what’s going on.”

Dr. Dorottya Sallai, Associate Professor (Education) of Management, LSE Department of Management


As AI systems become more powerful and influential, ethical leadership has emerged as a critical practice for sustainable success. Organisations leading in this area recognise that responsible AI isn’t just about risk management — it’s about competitive advantage and long-term viability.

Effective ethical leadership includes:

  • Defining and enforcing clear ethical boundaries for AI use
  • Ensuring diverse perspectives in AI development and governance
  • Proactively addressing potential biases in data and algorithms
  • Creating transparent processes for addressing ethical concerns
  • Aligning AI initiatives with organisational values and societal expectations

Ethical leadership in AI isn’t just about doing the right thing — it’s increasingly essential for driving adoption, earning customer trust, and unlocking long-term value. Deloitte finds that organisations with clear AI governance structures are more likely to see real business impact, while the World Economic Forum warns that consumers are paying closer attention to how companies design and deploy AI. 

As AI scales, so do the consequences of getting ethics wrong — making proactive, transparent leadership non-negotiable.

The business impact of effective AI leadership

Combine these practices and the numbers tell a compelling story: effective AI leadership isn’t a soft skill — it’s a measurable differentiator. Organisations that lead in this space grow revenue 1.5× faster, achieve higher ROI, and stay ahead of disruption.

The gap between leaders and laggards continues to widen, creating urgency for organisations to address leadership capabilities around AI implementation. As Dr. Sallai highlighted, leadership today demands not just strategy — but the willingness to stay ahead of fast-moving change.

Developing AI leadership capabilities: LSE AI Leadership Accelerator

Most AI leadership programmes still focus on coding or data science. The LSE AI Leadership Accelerator is different: it equips executives to apply these seven practices, turn strategic intent into business value, and join the elite 20% of transformations that succeed. Participants leave with:

  • Practical tools to implement the seven leadership practices in their organisations
  • A board-ready AI business case and implementation roadmap
  • Toolkits for responsible AI governance and culture change
  • Direct feedback from Deloitte and LSE faculty on live projects
  • A peer network of leaders closing the AI value gap

Transforming organisational approaches to AI requires intentional development of leadership capabilities. Many professionals are now aiming to break through the next leadership ceiling — shifting from tactical roles into strategic influence by mastering AI implementation.

The LSE AI Leadership Accelerator helps leaders close the implementation gap by focusing on real-world business cases, responsible governance, and the human of AI transformation — exactly where most initiatives fall short.

As the research clearly demonstrates, the gap between AI potential and business value is primarily a leadership challenge, not a technical one. Organisations that develop strong AI leadership capabilities position themselves to capture the substantial value that AI offers while avoiding the pitfalls that have derailed so many initiatives.

Ready to bridge the gap between AI potential and real business impact?

To learn more about the LSE AI Leadership Accelerator and how it can help your organisation bridge the AI implementation gap, download the programme brochure.

From Spreadsheets to AI: How To Start & Grow a Career in Data

Artificial intelligence (AI) is changing the data landscape. But the field of data analytics isn’t just weathering a quick trend – AI is poised to drive significant economic growth in the years to come. AI – which is fundamentally driven by data – is projected to increase UK GDP by up to 22% by 2030. 

This statistic tells us something crucial: developing your data skills isn’t just about job security, it’s about positioning yourself at the forefront of an economic and job market revolution. 

We discuss these topics in the webinar: “From Spreadsheets to AI: How to Start & Grow a Career in Data”. Brought to you by the creators of the LSE Data Analytics Career Accelerator, this event featured a panel of industry and recruitment experts who shared their insights on: 

  • The evolving data career landscape
  • The skills you need to go from spreadsheets to advanced analytics
  • The value of specialised data education

We’ve summarised the key learnings and insights from the webinar below. 

There’s an ongoing demand for data analysts

The tech industry has been in flux for the last few years; both small and large companies have experienced significant downturns and layoffs. As a result, many tech roles have seen a significant decrease in job postings and demand. But roles like data scientists, data analysts and data engineers have decreased by only about 15% since the end of 2022. To put this into perspective, let’s consider what it means:

  1. Stability: While we’ve seen a slight dip, it’s crucial to note that this 15% decrease is relatively small compared to the broader tech industry, which has experienced more significant downturns and layoffs.
  2. Quick recovery: The article from Datalore notes that these numbers have remained quite stable since the beginning of 2023, suggesting that the data job market quickly found its footing after the initial adjustment.
  3. Ongoing demand: This resilience underscores the continued importance of data skills across various industries. Companies recognise that data-driven decision-making is not a luxury, but a necessity for remaining competitive.

The data skills most needed

We asked our one panellist Elodie Hudson, who is the Director of Development at software company AssessTech and an LSE Data Analytics Career Accelerator graduate, what skills she’s looking for in candidates:

“We are very specifically looking for an advanced SQL data analyst. We’re also looking for a data engineer, so someone who can build pipelines to create a data lake or data warehouse for us. There are loads of different sorts of jobs in data, and for anyone transitioning into that, it’s good to understand what that landscape looks like and what might appeal to you, and what you want to do.”

Elodie Hudson, Director of Development at AssessTech and Career Accelerator graduate

We see this need for programming and database skills reflected in the research of the most important skills needed in data roles:

  • Programming skills: 86% of data scientists reported Python as their main programming language for current projects. This highlights the importance of Python skills in the data science field.
  • Database skills: SQL remains crucial, appearing in up to 60% of all data job posts alongside Python. This underscores the continued importance of database management skills in data roles.
  • AI and machine learning: With the rapid growth in AI engineer roles, skills in areas like deep learning, natural language processing and computer vision are becoming increasingly valuable. Data analysts are also expected to understand a few AI-powered tools to enhance their analytical capabilities. 
  • Data visualisation: Tools like Tableau and Power BI are essential for communicating insights effectively.
  • Cloud computing: Familiarity with cloud platforms like AWS, Azure or Google Cloud is increasingly important as more data operations move to the cloud.
  • Soft skills: According to Hays, communication and self-motivation are the two most in-demand soft skills among employers right now. These skills are crucial for data professionals who need to explain complex insights to non-technical stakeholders.

Another panellist, Barabra Forbes, who is the Analytics Manager at Birdie, confirmed that communication skills are what sets candidates apart: 

“What I really value are people who can go into a conversation with somebody who’s not a data-specific person. So they’re talking to a product manager, or they’re talking to an account manager, and they can come out of that conversation and know exactly what data will be useful for that other person to do their job better.”

Barabra Forbes, Analytics Manager at Birdie

AI is creating more data roles

According to the World Economic Forum, AI could result in the creation of more jobs. These range from newer specialist jobs, such as prompt engineer, to roles in higher demand – for example, electrical engineers and those who work with data.

But, the nature of data work is also changing.

  • Routine data tasks are increasingly being automated.
  • There’s a growing emphasis on higher-level analysis and strategic decision-making.
  • The low-code market, which is closely tied to AI and data analysis, is forecast to grow at an annual average rate of 22.9% from 2023 to 2030. Low-code platforms offer pre-built components for creating workflows and applications without manual coding, accessible to both business users and IT developers. This suggests an increasing demand for professionals who can work with low-code and no-code platforms to democratize data analysis.

Ollie Gower, the Vice President of Product at FINN, confirmed the low-code boom during the webinar:

“We focus a lot on no code and low code solutions. So we actually made a role called a business automation manager, and their specific job is to come up with no code or local solutions. If you haven’t yet, go and try it, you can literally integrate it with another platform in about three minutes and then have those insights gathered in in no time. [For instance] you’ve got loads of unstructured data, and you want to see how many times customers are complaining about the price. That goes from hours or week-long tasks to a few minutes.”

Ollie Gower, Vice President of Product at FINN

The range of data roles is becoming increasingly diverse, which shows that the field of data analytics offers multiple pathways for career growth and specialisation. Whether you’re interested in the technical aspects of managing data infrastructure, the analytical side of deriving insights, or the cutting-edge world of AI and machine learning, there are opportunities available.

The most important thing to focus on when starting or advancing your data career

For career starters, hiring manager Cecilia Silvi recommended proof of your continuous learning. Employers want to see your learning experience, particularly training in key skills such as SQL and data visualisation. 

For career advancers, the ability to communicate data insights to both leaders and junior data analysts is what Cecilia looks for when hiring.

We also had Joel Hawkins, a graduate of the LSE Career Accelerator join the panel, and he listed what he thought were the most important factors in securing his new role as a data analyst: 

  1. Soft skills
  2. The willingness to learn
  3. Portfolio of work 
  4. A foundation of technical skills

Your skills pathway to data analytics

The main focus of the webinar was revealing and understanding the key skills our expert panel of data leaders and recruiters were looking for in candidates.

The LSE Data Analytics Career Accelerator teaches you both the technical and soft skills that were identified by the webinar panel and our research. Over six months, you’ll:

  1. Develop core data-handling capabilities across databases and tools, and use SQL and Excel to identify insights through data analysis.
  2. Build technical coding skills in high-demand data programming languages Python and R. 
  3. Hone your communication skills, including data visualisation, to ensure your analysis and insights support actionable business decisions.
  4. Understand advanced analytics solutions to help you achieve business impact, and do dedicated AI and data training in a series of in-depth Masterclasses.

All of these skills are applied to practical projects which later form a portfolio of work. For graduate Joel, that practical application is what helped him achieve his promotion:

“I was able to see that the theory I was learning actually applied to my job. That practical element is what allowed me to really progress here, and ultimately receive the promotion.”

Joel Hawkins, Business Data Analyst at Wellesley and Career Accelerator graduate

Elodie’s journey was slightly different. She had no previous coding experience and joined the programme with the goal of achieving a complete career change from teaching to data. She hit this goal within a few months of starting the LSE Career Accelerator, which was followed by two promotions, first as the Lead Data Scientist and then as the Director of Development (all within the space of 11 months). You can read more about her story here.

“The course just gave me so much more than I bargained for. The technical skills were fantastic, it was all new to me, but it was the career coaching that really helped me navigate that leap.”

Elodie Hudson, from teacher to data scientist

Are you ready to fast-track your career with LSE?

The LSE Data Analytics Career Accelerator equips you for a career, not just a task. You’ll build the technical competencies, soft skills and business knowledge that employers look for. You’ll also receive one-on-one carer coaching, to help you make that change or land that promotion, and get ongoing results in your career.

Learn more about the programme content and AI Learning Track by downloading the brochure here.

If you’d like to understand how the Career Accelerator model works, visit our website.

5 Ways to Win at Online Learning

Online learning has grown in popularity over the past few years as more and more people are looking for ways to further their education without having to attend a traditional college or university. Plus, technology has made it easier for students to access educational materials and resources from anywhere in the world. However, succeeding at online learning can be a challenge. Isolation, distractions, technical issues and bad time management all could work against you. Luckily, these can all be managed and overcome. 

In a recent edX talk, Olav Shewe, Educas CEO and instructor for Learn Like a Pro, remarked on why some students excel at online learning while others don’t:

“I used to think success in learning was dependent on some innate ability, but then I realised the techniques you use are even more important.”

Here, we take a look at five areas to focus on when preparing to study online and provide some tips to help you succeed.

Top 5 tips for self-directed study

1 Manage your time carefully

Unlike traditional setups where students attend classes at set times every day, taking a course online allows you to set your own timetable and learn asynchronously. This means you can access complete lectures, assignments, readings and other learning materials at any time that fits with your personal schedule. However, it does require some planning.

  • Set a schedule: Establish a regular schedule for when you will work on your coursework. This will help you stay focused and motivated and ensure you meet deadlines.
  • Prioritise your assignments: Review your weekly/monthly/yearly assignments and prioritise the most important or time-sensitive tasks. Start by making a weekly plan so you know what you need to do for the upcoming week, then divide your weekly tasks into daily ones.
  • Use a planner: Use a planner or calendar to keep track of important deadlines and assignments. This will help you keep everything in one place and ensure you don’t miss any important due dates.
  • Eliminate distractions: Remove distractions by turning off your phone, closing unnecessary tabs on your computer, and finding a quiet study space. Here’s a list of apps that help you focus and block distractions.
  • Seek help if needed: Reach out for help if you’re struggling to manage your time. Your instructor or a Career Coach can help you develop a plan to manage your time more effectively.

2 Choose a dedicated study area

Some advocate for a quiet place in your home where you can devote yourself to your studies. Others encourage mixing it up, as studying the same material in different locations has proven to increase your ability to retain information. Here are some more tips to optimise your study space – wherever you feel the most productive.

  • Minimise noise: Invest in noise-cancelling headphones or, if you’re willing to elicit some curious stares, a focus cap that’s said to block out visual noise, quieten mind chatter and allow you to enter a “super-human FLOW-state of optimal cognitive performance”.
  • Block out time: Add a study block to your work calendar for colleagues to see, and put a printed calendar on your fridge at home so your family/housemates don’t disturb you during your dedicated study time. 
  • Get yourself into the right physical space: If there are too many distractions at home, head to a campus or public library where there are plenty of quiet nooks. Being in an environment where silence is compulsory will help you settle in and focus.

3 Ensure you have the right tools

Studying online means you’ll learn in a multitude of ways, such as engaging with videos and graphics that break down complex concepts, working through quizzes and reading in-depth materials. To navigate these different learning methods, you might need to install different apps to attend webinars, live sessions and coding workshops.

In most cases, you’ll be given free access to a Learning Management System (LMS) with all the tools needed for an immersive learning experience. These include UI elements such as calendars, messaging, quizzes, discussions, assignments, modules, and videos. These platforms also often enable social learning via a student community and provide around-the-clock tech support.

You’ll need the following to get the most out of your online coursework:

  • A laptop or desktop computer
  • The latest software updates for your operating system 
  • Internet connection (download speed at least 25 Mbps, upload speed at least 3 Mbps)
  • Basics such as Microsoft Word and a PDF reader
  • Microphone, speaker and webcam
  • Zoom client

Note that for some of the more technical courses, such as the LSE Data AnalyticsCareer Accelerator, you will need a setup that can handle the same tools used by data analysts, such as Microsoft Excel, PostgreSQL, Tableau, Python, and R.

4 Set goals

Goal-setting is a powerful tool that can be used to build motivation, improve academic success, and bring meaning to your actions. Setting goals that are achievable is the most important to avoid becoming overwhelmed.

  • Make your goals specific: Instead of setting a general goal, like “I want to do well in my online course,” set specific (yet realistic) goals that are measurable. For example, “I’ll complete all assignments by the due date,” or “I want to achieve 80% or higher for my online course.”
  • Break your goals down into smaller steps: To make your goals more manageable, break them down into smaller steps. This will make it easier to track your progress.
  • Use a goal-tracking tool: Use a goal-tracking tool, like the ones found in this list, to break down the steps toward a goal by separate tasks.  
  • Review your goals regularly: Review your goals to track your progress, and check in with an accountability partner, like a friend, Career Coach or programme support provider, if you’ve fallen behind and don’t know how to catch up.

SAGE Journal author and online education expert Dr Linda Dale Bloomberg advises students who feel pressure to meet all their personal and study commitments and worry they won’t succeed:

“Keep the momentum going. Multi-task if necessary, but don’t procrastinate or give up.  Adopt an “I can do this” attitude! A constant eye on the end goal will help you stay motivated and on track.”

5 Set up one-on-one sessions with a Career Coach

Career Coaches play an important role in online learning by helping students set and achieve goals and boundaries, but also to align their dreams with their strengths and what they’re good at. Adele Leah, one of FourthRev’s Career Coaches, shares her approach to inspiring students:

“Balance the work you do with freedom, flexibility, growth and challenge – for your version of success – and not someone else’s.”

Here are ways one-on-one coaching can help online students:

  • Study with intention: In career-focused education, a Career Coach helps learners prioritise their career goals from the start and work through the study programme with the focused intention of getting ahead professionally. 
  • Develop human skills needed for the workplace: While a lot of time is spent learning hard skills, a Career Coach helps students develop career-specific human skills – such as personal leadership or critical thinking skills – that are crucial job requirements. 
  • Enhance your personal brand: A coach helps you prepare your personal brand for entering the workplace upon graduation. This includes interview prep, creating an effective LinkedIn profile, and a winning CV. 
  • Get into the right mindset: Online study can be isolating, making it difficult to stay motivated. A Career Coach helps build your confidence, define your short- and long-term goals, and provides actionable steps to stay focused and keep up in the course.

Accelerate your career through FourthRev’s online Career Accelerators

FourthRev’s Career Accelerators have been designed to make learning relevant, in-demand digital skills engaging and manageable for professionals who are looking to make a move in their careers. Presented by top university faculty and industry experts, the course content balances theory with practical application to ensure you put everything you learn into practice. This boosts your confidence and provides you with a portfolio of real-world evidence that you can present to prospective employers.

You’ll also have access to one-on-one support from a dedicated Success Manager and Career Coach. They’ll help you to establish what your career goals are and how you can work towards them during the six-month programme and going into the future.

We’re currently running two Career Accelerators, with more coming soon! If you’d like to find out more, please book a call with our friendly Enrolment Advisors.

The Future of Remote Work

Just three years ago, remote working jobs were only really available to people with special circumstances, and a geographically-flexible job role could have been a really big bonus. Fast-forward to 2022, and it’s estimated that 30% of the UK workforce is currently working remotely at least one day a week.

Findings by the global recruitment firm Robert Half also show a staggering 50% of professionals who began working from home would resign if they were forced to return to the office full-time. Research by Buffer shows that 97.6% of people who currently work remotely would like to continue to do so, at least some of the time, for the remainder of their careers.

More companies are urging their workers to return to the office, at least for a couple of days a week, but remote work – meaning from home, from shared spaces, a few days a week or permanently – is still very high on many employees’ lists when it comes to top-ranked company benefits.

We take a look at the future of remote working and the impact it’s having on employers and employees in 2023 and beyond.

Why full-time office work is not for everyone

Just two years ago, then-CEO of Twitter, Jack Dorsey, told employees they could work from home “forever”, making it one of the first companies to formalise a “lasting” remote work policy. Now, with new ownership under Elon Musk, the policy has been summarily scrapped. Twitter employees now have to put in 40 hours (of “hard grind”) a week at the office, or they’ll be out of a job.

Musk did the same at Tesla in May and although some resigned because they wanted more flexible working conditions, most complied out of necessity. Yet, the return-to-office policy has reportedly caused a significant decline in morale among employees. The policy has depleted some of Tesla’s power to recruit and retain top talent, and there are concerns that the company’s closed-mindedness about remote work could damage its diversity goals.

Experts warn that an authoritarian, top-down approach – rooted in mistrust and false assumptions – goes against best practices and creates an illusion of control that could undermine employee productivity, engagement, innovation, retention, and recruitment. Annie Dean, former Head of Remote Work at Meta, says Musk’s mindset is regressive and discounts the successes of the last two years of collaborative, digital-first work.

Groups most suited to remote working jobs

Not all industries are suited to remote work. Those requiring in-person contact or handling of materials and machinery will always require workers to be at their place of work. On the other hand, jobs where employees interact with computers, such as processing and analysing or interpreting data, and others that require creative thinking or learning, are ideally suited to remote work. Here are the groups of people who could remotely service these industries:

Tech industry workers

With the rapid expansion of the internet, mobile technology, and the internet of things (IoT), traditional and digital economies are merging into one. This means the demand for technical skills in fields such as data analytics, product management, UX/UI, cyber security and digital marketing is set to grow significantly across industries – and, along with it, accelerated educational opportunities to accommodate those making a career switch to tech.

Another change emerging a year into The Great Resignation is the power shift from employer to employee. Tech workers, in particular, hold this power and are one of the groups with the greatest ability to work remotely full-time. The fact is, remote working has always been a pretty natural fit for tech work, and we saw this at the start of the pandemic when the tech industry forged ahead, almost unaffected.

Today, employees use remote work possibilities as part of the job negotiation process and also demand access to innovation, upskilling and training. According to a June study by McKinsey, 52% of people in tech and math-related fields said they can work from home five days a week, while a further 37% said they can spend at least part of their week working remotely.

Tech companies that have embraced a remote-first policy include Facebook, GoPro, Reddit and Coinbase. Others, such as Dropbox and Slack, are allowing workers flexible options, like coming into the office for three days a week. FourthRev is proudly 100% remote and scored 95% on Flexa (which employs a strict verification process to see which companies are really flexible). It scores businesses on six key elements of flexibility: location, hours, autonomy, benefits, role modelling and work-life balance.

Underrepresented people and minorities

In its 2022 diversity report, Meta disclosed that most of its US candidates who accepted remote job offers were ethnic minorities, veterans and people with disabilities. Additionally, the report showed that globally, a big chunk of candidates who accepted remote job offers were women.

For women, the ability to work remotely has had a significant impact. It’s easier to integrate work and life activities and allows for autonomy when it comes to day-to-day work responsibilities. Women working in tech and fearing the Zoom ceiling (out of sight, out of mind) can take advantage of professional development opportunities that are essential to staying relevant.

The neurodivergent and those with cognitive differences

Another group that benefits from remote work is the neurodivergent – those with ADHD, dyslexia, Autism Spectrum Disorder, or other atypical neurological conditions. Workers with cognitive differences often struggle with in-person office culture and unpredictable commutes, but they offer traits and strengths such as inventiveness, creativity, strong attention to detail, and sustained focus.

Generation Z

According to the People at Work 2022 report, there is a lot of resistance to returning to the office full-time among younger employees. Almost 71% of 18-24 year-olds would consider looking for another job if their company insisted on a full-time return to the office.

Gen Z (those born between 1997 and 2012 and graduated between 2019 and 2021) sees working from home as an absolute necessity, more than any other generation. Many have only ever had remote working jobs, and one in five has never worked in an office environment.

A new global workforce

Employees are prioritising personal values, job security, well-being and flexibility over a big salary and a handful of perks. Nearly a quarter of workers said they are actively trying to change their job and/or move to a “future-proof” industry (the tech industry is one) where skills are in higher demand long-term, where they see the strongest earning potential and the best career development prospects.

The great productivity debate of remote work

For employers, flexible work arrangements not only make it easier to hire and retain tech workers, but they also see benefits in delivery. The Gartner 2021 Digital Worker Experience Survey showed that 43% of respondents believe flexibility in working hours enabled them to achieve greater productivity, and 30% of respondents said that time saved due to eliminating their commute was spent on being more productive.

Some academics argue that increased productivity is due to companies and employees becoming better at working from home. Their research also suggests that in-office employees tend to work much less than the full eight-hour day and, in reality, only spend around 39% of their time working. The rest is spent on reading news websites, checking social media, chatting with colleagues about non-work topics, going for lunch or coffee, making non-work calls, and even looking for other jobs.

What today’s remote-first generation wants from employers

Resourcing for remote desk job industries, such as financial services, technology, or professional services, is relatively easy and cost-efficient. Here are some steps companies can take to make remote work, work for them:

  • Offer learning and upskilling opportunities through courses, mentors and career coaches.
  • Provide office-grade furniture, computers, scanners, webcams, subscriptions to software and remuneration for WiFi.
  • Provide software and security training for employees to protect their information and devices.
  • Establish new roles to exclusively manage remote teams (Head of Team Anywhere, President of Flexible Work, Chief Remote Officer – see more at GitLab) and create a database of commonly used remote-work words and phrases, so everyone’s on the same page.
  • Shift to asynchronous work with asynchronous tooling. Async workers have the autonomy to set their own schedules around their objectives, and the tools allow flexible, remote-first to stand on its own.

A positive (and cost-saving) shift

Employers are seeing benefits to the bottom line, which comes from cutting overheads and the reduced cost of renting floor space. For employees, it means they have a better work/life balance and, financially, it’s estimated that the average UK employee is saving a total of £44.78 per week, primarily in travel and food, by working from home full time. With the cost of transport and daunting commutes, this makes remote working jobs in London particularly attractive.

The transition to remote work is well underway and is set to continue into 2023. This shift shows businesses are acknowledging advancements in business culture and technology, as well as addressing employee values. While every business’ pivot to hybrid and remote will look different, attracting and retaining top talent is key to business success, and remote working job opportunities create an atmosphere of trust and future-forward thinking – something Musk may learn too late.

Interested in developing your skills for a remote career? Book a call with an Enrolment Advisor to learn more about our Career Accelerators, a launchpad for those interested in a career in the fast-growing digital economy.

Age is Irrelevant in Today’s Workforce: Building an Inclusive Team at FourthRev

Over the last five years, I’ve worked at a handful of tech companies. While the industries differed, I found that I quickly fit in with my colleagues because of how similar we were in age. A quick Google search revealed that the majority of people who work in tech are in their late 20s. At Amazon, 54% of the workforce is between the ages of 20 and 30, compared to only 8% who are older than 40. At Meta, 48% fall into the former bracket and 11% into the latter. 

At my previous jobs, the older team members were typically in more senior leadership positions, and they often felt removed and unrelatable. When I joined FourthRev six months ago, one of the first things I noticed was the balance of older and younger people in all teams. For the first time, I, at 26, was one of the youngest employees. 

Being surrounded by colleagues who have several more years of experience than I do is very refreshing. I feel mentally stimulated every day, and because I’m working with people who have become experts in their field, I’m challenged to rise to their level. This experience has been very positive for me, as someone at the beginning of their career.

Ageism can be a real problem – especially for women

However, when I started looking into the topic of ageism in the workplace, I realised that, at many companies, there is a bubble of opportunity for women working in tech. You have a handful of prime years before the ‘risk’ of wanting to start a family arises, and you head downhill from there, fast. As Kathy Gurchiek writes, “If you are a woman over 30 in tech, you’re considered old. Once you’re a mother and in a tech company, you’re already an outsider and considered in a different category and class … marginalised.” 

I sat down to talk to one of the most vivacious and experienced team members at FourthRev, our Director of Market Development, Tara Rodoni, about her work experience over the years. “After you’ve been around for a while, you’ll often notice younger colleagues have a preconceived notion that your knowledge isn’t relevant or innovative. People are quicker to dismiss your input or leave you out of things,” she says.

While this is, unfortunately, the case at a lot of companies, Tara reassured me it’s not all doom and gloom. “If you can find an organisation that values your skills and appreciates what you can bring to the table, then things like gender and age don’t feel as big of a deal,” Tara says. She started working for FourthRev as a consultant before leadership asked her to join full-time. “It was an easy yes for me because of the people here,” she says. “Everyone here shares the same values. It’s always about the person first and what their strengths are. Mine lie in the knowledge, experience and extensive industry network I’ve accumulated over the years, and here that’s recognised as an asset.”

Prioritising an inclusive work environment

As a remote team that all have such different lifestyles, there are several factors we’ve had to take into account to make sure that everyone feels included and can do their best work. Tara shares a few that are most impactful for her:

Learning opportunities

Even though she’s found a professional position that she feels fulfilled in, Tara enjoys the learning opportunities and resources, like LinkedIn Learning and HubSpot training, offered by FourthRev. In addition to this, because we work remotely and use a range of tools and processes, different team members volunteer to host learning sessions on a regular basis. These sessions are all recorded and stored in a central place, which makes it easy for individuals to go back to in their own time. With the majority of the FourthRev team being based in the southern hemisphere, Tara says that this form of asynchronous connection is useful for her in the US because it helps her stay in the loop, even if it’s not always in real time. “I’m at a point where I’m not looking to climb the corporate ladder anymore, but I do want to keep learning and gain new skills.” 

In Long Life Learning: Preparing for Jobs that Don’t Even Exist Yet, Michelle R. Weise writes that people’s careers are going to last 100 years. That makes 60 the new 30 for the modern workforce. In such an extended amount of time, individuals will have to upskill continuously as changes occur. As an organisation, implementing support structures that allow good people to keep adding value over time is going to be key. “FourthRev recognises the importance of ongoing skill development and gives all of us the opportunity to actively participate in it,” says Tara. “I like that the focus is on us as people. The company appreciates our strengths and does what it can to enable our growth. I feel like my contributions are relevant and add value.”

Flexible working 

As someone who has had an industry presence for a few decades, Tara says that FourthRev’s flexible work policy helps her maintain her network and invest time in professional interests, like serving on a board. “The team at FourthRev knows and respects that everyone will get their work done without having to set a schedule. This helps me meet my deliverables and keep up with other responsibilities that are meaningful to me.”

Regular opportunities to connect with each other

Beyond the meetings we have with our regular teams to discuss the projects we’re working on, we try to encourage engagement across the broader FourthRev team. Tools like donut and Shuffl make it easy to connect with different people for short ‘coffee chats’, and scheduled company-wide check-in sessions and quarterly updates create the opportunity for as many of us as possible to come together. “It’s good to meet people and put a face to a name that you otherwise just see on Slack or in your inbox. Interacting with someone in a way where they can get to know you professionally and personally is the best way to break down ideas that they might have of you after just seeing your picture.”  

If you’re interested in joining a team that values you for the skills you have – whether you’re 26 or 56 – take a look at the roles we have open on our careers page. 


Written by Summer Smith and Tara Rodoni

Why Remote Work Should Be Asynchronous

As we reimagine work environments with the return to offices and new hybrid models, we need to consider the challenges global remote workers – often in diverse time zones – face on a daily basis.

Local office co-workers can meet on a whim to discuss ideas or issues outside remote team members’ working hours to resolve issues or determine a new process affecting a team project. However, rather than contributing, remote team members often awaken to emails announcing decisions they were not involved in, resulting in a disconnect and a sense of isolation.

People who once felt connected and valued now struggle to uncover ways to contribute after the fact. Their function has not altered, their investment in the company values and objective has not varied, but the interaction between colleagues is more complex. Additionally, people who feel valued and connected to their team regardless of location are more likely to remain invested in contributing to the company’s success.

The most effective remote teams work asynchronously

During global lockdowns, companies poured resources into supporting employees’ remote working when it was non-optional, but have asynchronous processes truly become ingrained in company culture as hybrid or remote organisations, or are we reverting to synchrony?

As businesses scale, the struggle to maintain connections within global teams demands awareness and sensitivity. We need to ‘consciously decouple’ work from synchronous communication for it to be characterised as ‘remote’. That means cancelling a culture of hyper-responsiveness.

Synchronous work often requires teams to stop and wait on projects when certain employees are unavailable.1 For things to make sense, like a conversation, an IRL meeting, a video call or grabbing a coffee with a colleague, someone else’s presence is always required. On the flip side, asynchronous communication respects independence and values flexibility. Tasks are mindfully set up to ensure their effects are independent of whoever planned or executed them.

A plethora of digital tools is available to assist in working towards complete asynchronous communication. A few that we use at FourthRev include:2

  • Slack: We use this platform to communicate directly and in channels. To avoid the urgency that instant messaging platforms can create, we encourage our team to configure their notifications in a way that works best for them.
  • Loom: Video communication tools, like Loom, allow us to screen share remotely and add comments to videos.3
  • Confluence: We use this tool as our knowledge management software where we share internal ‘wiki’ pages on topics the broader team needs to know about, such as our quarterly OKRs or QA style guides. This platform also connects with project management software, like JIRA, making it easy to keep track of tasks the team is busy with.
  • Asana: Task boards, like Asana, also give us visibility on what others are working on. It permits us to collaborate by commenting and asking questions on tasks that work towards the team or company’s bigger goals.
  • Google Docs: Shared documents are a must for our team that works across time zones and at different schedules. The ability to track changes and comments in real time allows us to move fast.
  • Miro: Visual collaboration platforms, such as Miro, allow us to whiteboard, brainstorm and do strategy work independently.

Leaders need to champion an asynchronous culture

Tools like the ones listed above only work with the complete buy-in of company leaders. An effective asynchronous culture comes down to trusting employees to do their work wherever and whenever best suits their productivity schedule. Moving away from real-time communication allows remote workers to maintain connections within global teams and better structure their days.

One of FourthRev’s Co-founders, Omar de Silva, signs off all of his emails with:

I’m sending this at a time that works for me.

Please only reply at a time that works for you.

When leaders lead by example, employees tend to follow – especially when it allows them more freedom. At FourthRev, we’re of the mindset that it’s okay to decline meeting requests, turn off notifications on Slack or take a long lunch sometimes. You don’t always have to be available.

“Monday to Friday, 9 – 5, always face-to-face… this model was built for an economy and world that no longer exists. Whilst some roles, companies and individuals will prefer this ‘traditional’ approach, there are as many – if not more – who will flourish with something different. It makes sense for all organisations to evaluate whether their norms are what is best for everyone, or if they’re simply following an old model for the sake of it,” says Omar.

Businesses successfully addressing this challenge enhance their advantage in recruiting in this highly competitive environment, both from the allure of superstars to the retention of key personnel.

If you’re interested in joining our global team, take a look at our careers page.

Notes


  1. Why you should be working asynchronously in 2022. [Article]. 2022.[Listing} 2022. ↩
  2. Remote work should be (mostly) asynchronous. [Article]. December 01, 2021. ↩
  3. 10 types of asynchronous tools for communication & collaboration. [Article]. 2021. ↩

Written and compiled by Tara Rodoni and Marisa Crous

How Project-based Learning Can Accelerate Your Career

  • A curriculum co-designed by faculty from the world’s best universities and leaders from tech companies
  • All the technical, business and human skills you need to thrive in the digital economy
  • A portfolio of industry-relevant projects that you can share with prospective employers
  • Collaborate with your peers on a capstone Employer Project set by renowned employer partners
  • Support throughout the programme from Career Coaches and your own Success Manager

Now is an exciting time to make a career move. With COVID-19 accelerating the need for digital skills, new gaps are opening in the market, which has seen employers expanding their recruiting efforts dramatically. That being said, they’re not looking for just anyone to fill these positions. With the world still adapting to the pandemic’s significant changes, employers are seeking out individuals who can add value to their organisation immediately. These ideal candidates have strong technical ability, a solid understanding of business operations and the right human skills to work well in a team.

From the outset, we wanted FourthRev’s career accelerators to empower learners to tick these boxes. To do this, we’ve employed a project-based model, whereby you engage with content created by faculty from renowned universities in collaboration with leaders from global tech companies and apply your learnings to practical projects set by employers.

“The more conversations we’ve had with industry partners, the more we’ve understood the value in providing learners with the opportunity to apply their skills in a real-world context,” our Chief Partnerships Officer, Mark Lester, says. “Companies are looking for candidates who can hit the ground running, and that means having the technical skills to do the job as well as the human skills to perform effectively within an organisation.”

Here’s a closer look at how our career accelerators have been designed to help you build a resilient skill set that will equip you with everything you need to make your next career move with confidence.

Learning material backed by industry

At a high level, each career accelerator is comprised of an orientation period followed by three six-week-long project-based learning courses, whereby you complete several industry-relevant projects. The final part of the programme features a capstone Employer Project, which has been set by an employer partner to give you an experience of what it takes to solve a real-world business problem.

Laying the foundation for career success

Faculty members from leading universities work closely with experts from tech companies to develop all the course content you engage with during the career accelerator. In the first three courses, you’ll work through modules that teach key technical, business and human skills. You’ll undertake practical assignments to put your learnings to the test and help you thoroughly understand how what you’ve learned is applied in the real world.

The Employer Project

The Employer Project serves as the final challenge of the programme. You will work with a small group of other learners to solve a business case that has been set by our employer partners. We work with different partners across career accelerators to present you with various problems to solve – whether it be analysing user-generated data from a fast-scaling tech business and making product recommendations, or building systems to help cities introduce greener transport solutions.

ThoughtWorks, one of the world’s biggest technology consultancies, is one example of a company we’ve partnered with to deliver the Employer Project. Danilo Sato, Head of Data & AI Services UK and Europe at ThoughtWorks, says, “Data strategy now sits at the heart of successful digital organisations, and these highly prized data analytics skills are essential to a company’s success. We are excited to collaborate on an employer project that will enable learners to put their newly acquired skills to the test and work together to solve the kind of business problem they’d be tackling at an organisation like ours.”

Building industry insight and the opportunity to solve problems that businesses face into the course content takes the quality education you get from a world-class university to the next level. Applying your learnings to real scenarios throughout the programme helps you grasp concepts more easily and envision how you’ll contribute to your next role. Working with your peers in the final leg of the programme also gives you insight into what it takes to work effectively as part of a team – a crucial skill that every employer looks for, no matter what stage of your career you’re in.

A portfolio of real-world projects

Every project that you undertake as part of the career accelerator has been designed to help you build a portfolio of evidence to share with prospective employers. The course creators have ensured that the outcomes of each assessment track your progress and provide a holistic view of the skills and knowledge you’ve obtained. Throughout the programme, you’ll be supported in gathering this information and presenting it in a way that best showcases your practical abilities as well as your understanding of business and human skills.

“The opportunity to develop a portfolio of industry projects and presentations is a unique way to demonstrate real-world experience. Working with industry, being presented with a challenge and then demonstrating the impact of your solution gives you a powerful story to tell, whether you’re interviewing for a new job or going for a promotion,” Daniel Cairns, our Head of Enrolments, shares.

Being able to demonstrate experience working on challenges set by leading companies will go a long way with employers looking for well-rounded candidates when you enter the job market or approach your manager to discuss your next move.

Support that focuses on your long-term career goals

Undertaking further studies is a big choice. By working through the content and practically applying what you learn, we hope that you’ll feel confident in your decision and your ability to move forward in your career. You’ll work directly with a Career Coach and your own Success Manager throughout the career accelerator to further encourage you to meet your career goals. You’ll meet regularly, and in between courses, you’ll engage in a “reflection week” with them to check in on your progress. This is to ensure that what you’re learning is aligned with your long-term career goals and personal development. “It’s not just about identifying where you are now, but how your choices open doors for your next opportunity and your overall progression pathway,” FourthRev Career Coach, Caroline Rae, says. “Our aim as the support team is to equip you with the tools and resources you need to drive your career, not just in this next move, but in the long-term.”

Find out more about career accelerators

If you’re looking for a change, but you’re unsure if you’ll get what you need to succeed from a short course, get in touch via our website or book a call with one of our Enrolment Advisors. We’d love to tell you more about our career accelerators and how project-based learning can serve as the springboard for your next move.


Written and compiled by Summer Smith