“I think that the future of bookkeeping really lies in the advisory portion of bookkeeping. I think that we are at the point in technology where we no longer necessarily need a person to do the data entry.”
- Jennifer Hume
It is hard to know our own value. We often undervalue ourselves while overvaluing the skills and abilities of others. Shifting our mindset to one that balances these opposing points of view is the first step in building the kind of future in our businesses that we often covet in others.
Technology is progressing ever faster, and it can make us feel like we can’t keep up and that our skills aren’t as valuable in the face of AI. But AI is sourced from us, and while it may be the future of our systems and processes, we are a very long way away from it being able to convert all that information into truly nuanced and helpful advice.
Jennifer Hume, owner of Coronation Bookkeeping & Tax Services, is this episode’s featured guest. She has spent her career helping businesses manage their finances and taxes effectively. In this episode, she speaks powerfully about the power of mindset in business success, what the world looks like when we get out of our way, and how our human experience and advice will always trump AI.
If you are struggling in your bookkeeping business, not sure how to move up, feeling lost and alone, then this episode will get you thinking about the future differently. One that sets technology to work for you, so you can do more of the work you love.
During this interview, you'll learn...
- The value of planning for the future you want
- How to get out of our own way
- The importance of our experience in advisory work
To find out more about Jennifer, click here.
Connect with her on LinkedIn.
Time Stamps
01:42 - Jennifer discusses her career journey
03:34 - Getting out of our own heads
06:44 - The power of the Accelerate 2 Advisor program
08:44 - Blood, Sweat & Tears
19:55 - Planning for the future you want
23:28 - How AI will change bookkeeping
26:41 - Thinking differently about challenges
