Templates by Allie K. Miller

🔸️The Future of Work: Humans, AI, and Adaptability🔸️

As we navigate the ever-evolving landscape of technology, the question of whether AI will replace humans in the workforce or if humans skilled in AI will dominate arises frequently. The reality is nuanced.

AI undoubtedly automates certain tasks, potentially displacing some jobs. However, the narrative of wholesale job replacement overlooks the symbiotic relationship between humans and AI. Rather than viewing AI as a threat, we must recognize it as a tool that amplifies human potential.

The key lies in adaptation. Individuals who embrace AI, upskill, and pivot towards roles that complement and leverage AI technologies will thrive. These roles will require uniquely human skills such as creativity, empathy, critical thinking, and complex problem-solving.

In essence, it's not about humans versus AI; it's about humans leveraging AI to augment their capabilities and drive innovation. The future belongs to those who can harness the power of AI while maintaining their adaptability and uniquely human traits. Let's embrace the opportunities that AI presents and evolve alongside it to shape a more productive and inclusive workforce.

Do not forget to post the LAST LINE of the below post. It's an eye-opener😵💫😳

#futureofwork #ai #adaptability

These jobs will be redundant within three years due to AI.

1. Media jobs: AI can automate the work of advertising, content creation, technical writing and journalism.

2. Tech jobs: Coders, computer programmers, software engineers, data analysts, can all be done by AI.

3. Finance jobs: financial analysts and personal financial advisors.

Which job do you think will be obsolete within the next three years due to AI?

#jobs #ai #larsderooy

Technically redundant: Six-in-10 fear losing their jobs to AI (source: industryeurope.com)

These headlines are now becoming familiar and getting the software industry worried that AI would take over their jobs.

Yes, it will. Existing jobs will get replaced over time. Like a typist, many jobs that existed two decades ago don’t exist today. However, this does not mean the typist and binders don’t have a job. They have just moved up the value chain and picked up new skills to be relevant. Similarly, developers, QA, QE, designers, and architects may have their job as it is today replaced by AI, but that does not mean there will be no IT jobs. The new jobs would have elevated the need for additional skills.

We can and need to elevate and move up the value chain and remain relevant.

Share your thoughts…

#ai #PPMM #passionpreneur #jobs

AI: Threat or Ally?

The business world stands at the brink of an AI revolution, likened to the industrial age in its potential to redefine work.

As Venture Capitalists pour investments into AI, the message is clear: AI will not just assist but become an integral part of teams.

Before AI: Traditional roles dominate, with software engineers and customer support reps working in defined, often siloed capacities.

After AI: A single AI-fluent engineer achieves what once took five, reshaping not just roles but entire industries.

This is not about replacement; it's about enhancement. AI promises a future where human creativity and digital intelligence merge, offering unprecedented opportunities for innovation and efficiency.

The key lies in our response: Embracing AI to augment our skills and focusing on areas where human ingenuity remains irreplaceable.

By reframing our perspective on AI—from competitors to collaborators—we unlock a new era of organizational excellence. It's time to pivot, upskill, and lead with AI.

#AIRevolution #FutureOfWork #EfficiencyQuestTribe

P.S. How do you see AI transforming your role in the next five years?

I'm usually not one to forecast the future, but I'm genuinely shocked to see entry-level roles in software engineering and data science facing the threat of extinction.

These individual roles, which completely rely on technical expertise, face a significant threat from automation. Just a year ago, this scenario was hard to imagine.

Consider this: Individual contributors are often managed by a technical lead in a project. What's to stop the tech lead from relying on a team of AI agents instead of junior developers? There are already tools for this (like sweep(.)dev). Companies, looking to cut costs, will be closely monitoring these developments.

What about data scientists? The major cloud platforms are heavily investing in tools that enable anyone to perform advanced data analysis, including deep learning, using just plain language and drag-and-drop data.

Why would companies invest heavily in skilled data scientists when they could achieve similar results with a data analyst proficient in generative AI tools for cleaning and analyzing data, and for training and deploying models?

It’s a somewhat depressing thought, but it's a reality we can no longer ignore. Niche technical expertise is being automated out of existence.

I strongly believe future roles will require a combination of skills and knowledge from disparate fields to stay relevant. These roles may even become more creative.

For instance, a software engineer at a fintech startup will need knowledge of financial instruments and UI design, in addition to software development skills.

Similarly, a healthcare data scientist will need to understand human physiology and have wet lab experience, along with machine learning expertise.

I wouldn’t be surprised if the technical knowledge required for today’s entry-level roles becomes a 'good-to-have' for more generalist positions.

If you’re planning to focus solely on solving Leetcode or Kaggle problems in 2024, it might be wiser to consider broadening your skills across disparate domains to remain relevant.

Thanks for the share Allie K. Miller

Helping engineers and engineering managers understand that Engineering is really a human-powered implementation of Gradient Descent is the challenge. Speeding up the iterations using digital tools, and in this age tools that augment their creativity using AI.

Many engineers and engineering managers learned their craft by ‘working with others’. They fall into the trap of thinking that the goal is a larger team, rather than iterating faster.

Engineering involves establishing a design goal (the question: “what does it take to achieve x?”) and iterating, incrementally improving results.

Overcoming the n^2 communication challenge by having one mind to frame the question and rapidly iterate with AI and automation removes one of the bottlenecks.

Ironically, this trend isn’t just in Software Engineering. It’s emerging in any Engineering discipline where the design process is digital; eg Mechanical Design, Microelectronics, Hydraulics, Electrical systems … the list goes on.

Is AI a job taker or a power booster for employees?

The tide is turning in the world of work, fueled by visionary investors who see an AI-driven future not just as a possibility, but as an inevitability.

Consider this updated and expanded list of roles that are being transformed by AI:

Software Engineer - Magic (raised $145M+)

Software Engineer - Cognition ($21M+)

Software Engineer - CodeGen ($16M+)

Customer Support - Sierra ($110M)

Customer Support - Rasa ($70M)

Sales Engineer - Docket AI ($5.5M)

Data Scientist - TextQL ($4.1M)

Data Analyst - Fluent ($7.5M)

QA Engineer - QA Tech ($1M)

Recruiter - HollyHires ($1.5M)

Product Manager - Version Lens ($1.6M)

Designer - SevnAl ($0.5M)

Chief of Staff - Mindy ($6M)

Universal Employee - Ema ($25M)

Financial Analyst - Finpilot ($4.5M)

Financial Analyst - Rogo ($7.5M)

Compliance - Norm AI ($11.1M)

Receptionist - Arini ($0.5M)

Loan Officer - Casca ($3.9M)

Hotel Concierge - Runnr ($1.2M)

The message is clear: the future belongs to those who embrace AI, enhancing their capabilities to perform at unprecedented levels.

An enlightening perspective from one of startup investments captures the essence: "Hiring one software engineer who can leverage AI effectively is more valuable to us than five who can't, cost notwithstanding."

This isn't just about replacing jobs but revolutionizing them, ensuring that those who adapt and innovate with AI will set the new standard for excellence.

Upskill and reskill, or risk becoming obsolete!

From Allie K. Miller -one of LinkedIn's Top Voice in AI -, looking at where the money is going is giving us an insight into the types of jobs that will be rendered obsolete because of AI.

What are your thoughts?

This is just the beginning. The list does not include companies working on AI that will replace physical labor.

A few examples I already see in China include: drone delivery, robot massages, room cleaning, virtual models, and actors.

#ai