The Impact of AI on Marketeers
Explore AI’s transformation of marketing through engagement and content innovation, featuring use case examples, salary benchmarks, and educational pathways.
How AI Intersects with Marketing
The advent and integration of Artificial Intelligence (AI) into the fabric of the marketing industry marks a pivotal shift in how brands engage with their audiences. This evolution underscores a broader narrative within the technological landscape, where AI’s emergence from rudimentary machine learning applications to sophisticated generative AI (GenAI) systems heralds a new era of automation and personalized consumer experiences.
AI Use Cases in Marketing
Superior Brand Copy
AI-enhanced copywriting empowers marketers to craft compelling brand narratives that resonate with their target audience. Tuning AI to your brand voice and content performance data, these tools generate content that can align with brand identity while engaging with consumers effectively.
Improved Media Production Workflows
Effective use of AI enables marketers to generate video and image assets without traditional production hurdles. An AI-empowered workflow accelerates creative processes, from concept to execution, allowing for rapid prototyping and iteration of marketing materials such as images and videos.
AI-Enabled Customer Journeys
AI-driven recommender systems synthesize data across all marketing touchpoints, offering personalized customer experiences. By understanding individual consumer journeys, these systems can tailor marketing messages and offers, significantly enhancing engagement and conversion rates.
AI Job Trends
Curious about integrating AI into your marketing career? Discover if it’s the right path with interactive graphs detailing AI-driven salary trends
Source: Kaggle, AI/ML Salaries 2020 – 2023
Looking for the Perfect Remote AI Job?
This interactive chart showcases the relationship between continents and work arrangements. If you are looking for a remote, or work-from-home AI job, this visualization will help you make informed decisions.
Source: Kaggle, AI/ML Salaries 2020 – 2023
Key Insights in AI Jobs
The analysis of in-demand AI roles across continents reveals a significant variation, with Data Engineering roles exhibiting the highest demand in several regions. Specifically, South America, North America, and Europe report the largest proportions of Data Engineering roles, accounting for 38.89%, 24.44%, and 22.87% respectively. This indicates a robust need for systems that facilitate efficient data collection and highlights the critical importance of data infrastructure in the AI landscape.
Furthermore, the data suggests a geographical concentration of AI roles, with a predominance of opportunities stemming from North American employers. This regional skew is also reflected in salary distributions, where North American AI professionals command the highest median salary at 150,000 USD, suggesting a premium on AI expertise within this market.
Contrastingly, while Asia exhibits a lower median salary compared to other continents, the upper quartile of earnings is notably competitive, aligning closely with senior-level and CXO roles in European and North American contexts. This disparity may indicate a more pronounced salary progression for AI professionals in Asia, emphasizing the value placed on experience and higher-level expertise within the region’s AI sector.
Senior AI roles in Asia show a distinct trend concerning working arrangements and remuneration. There is a marked preference for ‘On-Site’ work, which is associated with significantly higher salaries compared to ‘Work from Home’ arrangements, with figures reported at 417.9k USD and 300k USD respectively. This contrasts with the salary structures in Europe and North America, where maximum salaries are maintained with negligible differences between ‘Work from Home’ and ‘Hybrid’ work settings. This indicates a more flexible approach to working arrangements without a substantial impact on salary levels, potentially reflecting a cultural or organizational shift in work dynamics within the AI industry in these regions.
The findings from this data set underscore the complexities and regional nuances within the global AI job market, highlighting the interplay between job roles, geographical locations, and working arrangements in determining salary expectations and professional demand.
Furthermore, the data suggests a geographical concentration of AI roles, with a predominance of opportunities stemming from North American employers. This regional skew is also reflected in salary distributions, where North American AI professionals command the highest median salary at 150,000 USD, suggesting a premium on AI expertise within this market.
Contrastingly, while Asia exhibits a lower median salary compared to other continents, the upper quartile of earnings is notably competitive, aligning closely with senior-level and CXO roles in European and North American contexts. This disparity may indicate a more pronounced salary progression for AI professionals in Asia, emphasizing the value placed on experience and higher-level expertise within the region’s AI sector.
Senior AI roles in Asia show a distinct trend concerning working arrangements and remuneration. There is a marked preference for ‘On-Site’ work, which is associated with significantly higher salaries compared to ‘Work from Home’ arrangements, with figures reported at 417.9k USD and 300k USD respectively. This contrasts with the salary structures in Europe and North America, where maximum salaries are maintained with negligible differences between ‘Work from Home’ and ‘Hybrid’ work settings. This indicates a more flexible approach to working arrangements without a substantial impact on salary levels, potentially reflecting a cultural or organizational shift in work dynamics within the AI industry in these regions.
The findings from this data set underscore the complexities and regional nuances within the global AI job market, highlighting the interplay between job roles, geographical locations, and working arrangements in determining salary expectations and professional demand.
Attrition & Growth of Jobs Due to AI
In the shifting terrain of marketing, the emergence of data-driven strategic roles and AI integration heralds a bifurcation in job growth trajectories. Roles traditionally centered on strategic insight, data acumen, and AI proficiency are experiencing a surge, indicative of the industry’s pivot towards high-level analytical capabilities. Conversely, positions characterized by routine, operational tasks face a contraction as AI technologies automate these functions. Graphic designers, sales and marketing professionals, along with advertising and public relations experts, are witnessing some erosion in job security. Product managers and social media strategists, particularly, confront a significant downturn, with automation increasingly encroaching on areas once governed by human expertise. In stark contrast, e-commerce specialists and digital marketing and strategy experts stand at the vanguard of job growth, benefiting from the inexorable march towards a digitally-oriented, AI-integrated marketing ecosystem. The clear demarcation represents a fundamental realignment, favoring roles that synergize with AI’s transformative potential within the marketing domain.
Select top 3-5 impacted jobs functions, use a mix of positive and negative (growth vs loss)
- Graphic Designers
- Sales & Marketing Professionals
- Advertising and Public Relations Professionals
- Product Managers
- Social Media Strategists
- E-commerce Specialist
- Digital Marketing and Strategy Specialists
AI Reskilling & Upskilling
As AI reshapes the workplace, companies are strategically prioritizing upskilling to foster high-level cognitive and emotional intelligence skills, which remain indispensable in the AI-augmented future. Analytical thinking tops the upskilling agenda, designated to receive 10% of training initiatives, highlighting the critical need for professionals to interpret and leverage the complex information produced by AI. Creative thinking follows, reflecting the demand for innovative problem-solving that transcends AI’s capabilities.
Despite their current standing, AI and big data skills, along with leadership and social influence, are being prioritized more significantly than other skills in corporate upskilling strategies, with a notable investment of 9% in reskilling efforts dedicated to them. This suggests a strategic emphasis on developing expertise that not only utilizes AI but also steers its direction and integration within organizations. Companies are recognizing the necessity of these skills to navigate the intricacies of AI deployment and drive technological advancement.
In contrast, despite the recognized present importance of self-efficacy skills following recent disruptions, such skills are projected to receive less emphasis in future strategies. Instead, there is a clear shift towards technology skills, particularly in AI and big data, which underscores the strategic need for technical fluency amidst advancing automation.
This recalibration towards technical upskilling, alongside the cultivation of high-level complex skills, underscores a dual-focused approach. Professionals are expected to command both the nuanced, human-centric skills that AI cannot replicate and the technical acumen to effectively collaborate with AI systems. The corporate upskilling trajectory thus reveals an acute awareness of the evolving symbiosis between human intelligence and artificial intelligence, with the goal of harnessing the best of both to drive innovation and competitive advantage in the workforce of tomorrow.
Despite their current standing, AI and big data skills, along with leadership and social influence, are being prioritized more significantly than other skills in corporate upskilling strategies, with a notable investment of 9% in reskilling efforts dedicated to them. This suggests a strategic emphasis on developing expertise that not only utilizes AI but also steers its direction and integration within organizations. Companies are recognizing the necessity of these skills to navigate the intricacies of AI deployment and drive technological advancement.
In contrast, despite the recognized present importance of self-efficacy skills following recent disruptions, such skills are projected to receive less emphasis in future strategies. Instead, there is a clear shift towards technology skills, particularly in AI and big data, which underscores the strategic need for technical fluency amidst advancing automation.
This recalibration towards technical upskilling, alongside the cultivation of high-level complex skills, underscores a dual-focused approach. Professionals are expected to command both the nuanced, human-centric skills that AI cannot replicate and the technical acumen to effectively collaborate with AI systems. The corporate upskilling trajectory thus reveals an acute awareness of the evolving symbiosis between human intelligence and artificial intelligence, with the goal of harnessing the best of both to drive innovation and competitive advantage in the workforce of tomorrow.
AI Courses for Marketing
Elevate your marketing capabilities with AI, mastering analytical thinking to decode complex data and drive innovative strategies. Discover how to blend AI with emotional intelligence for impactful campaigns.
Fast Track to Mastering AI
Fast Track your understanding of AI with our Founder, Jonathan Chew. This course will cover how Generative AI Works, the effective use of LLMs and Prompt Engineering, LDMs and Image/ Video Generation, Productivity Tools and GenAI Limitations.
UBI Msc in AI & ML Management
An accredited program with Middlesex University (UK), UBI’s MSc in AI/ ML Management is one of the few existing management focused postgraduate programs in the world. Learners will benefit from a HyFlex program, allowing for both on-campus and online learning for a full or partial on campus experience.
AI Applications in Marketing and Finance
Learn how AI-powered applications that can enhance the customer journey and extend the customer lifecycle. You will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people. You will also learn about fraud, credit risks, and how AI applications can also help you combat the ever-challenging landscape of protecting consumer data.