Rose-tinted predictions for artificial intelligence’s grand achievements will be swept aside by underwhelming performance and dangerous results.

The year 2023 saw widespread hype around generative AI, with expectations of AI-powered advancements becoming common. However, in 2024, there will be a need to readjust expectations as evidence emerges showcasing the limitations of generative AI. These models are prone to providing false information and hallucinations, making it difficult to anchor predictions to known truths. Anticipation of exponential productivity improvements and artificial general intelligence will prove unfounded, leading to a shift in focus towards identifying human tasks that can be augmented by these models. Moreover, the adoption of generative AI will result in job displacement without significant productivity gains. ChatGPT and similar models will dominate social media and online search, leading to increased manipulation, misinformation, and mental health issues. The industry will experience a duopoly with Google and Microsoft/OpenAI as dominant players, sparking calls for antitrust and regulation. However, meaningful regulation is not likely to arrive until the US government catches up with the technology in subsequent years.
https://www.wired.com/story/get-ready-for-the-great-ai-disappointment/
Featured writing
When your brilliant idea meets organizational reality: a survival guide
Transform your brilliant tech ideas into reality by navigating organizational challenges and overcoming hidden resistance with this essential survival guide.
Server-Side Dashboard Architecture: Why Moving Data Fetching Off the Browser Changes Everything
How choosing server-side rendering solved security, CORS, and credential management problems I didn't know I had.
AI as Coach: Transforming Professional and Continuing Education
Transform professional and continuing education with AI-driven coaching, offering personalized support, accountability, and skill mastery at scale.
Books
The Work of Being (in progress)
A book on AI, judgment, and staying human at work.
The Practice of Work (in progress)
Practical essays on how work actually gets done.
Recent writing
Start, ship, close, sum up: rituals that make work resolve
Most knowledge work never finishes. It just stops. The start, ship, close, and sum-up methodology creates deliberate moments that turn continuous work into resolved units.
Notes and related thinking
It's going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.
Explore how AI will transform jobs in the next decade, from enhancing security to automating coding, reshaping the future of work.
Many businesses are not yet prepared to fully reap the benefits of AI.
Unlock AI's true potential for your business by integrating it into your strategy, boosting productivity, and enhancing customer experiences.
ARTIFICIAL intelligence could hit three in five workers — possibly replacing their jobs. The warning comes in a new International Monetary Fund report on the future of work. It warned of lower sala…
AI could replace three in five workers, warns an IMF report, signaling potential job loss and lower salaries. Discover the implications for the future of work.